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Linear independence of even Dirichlet beta values

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Abstract

Let β(s)=1−3−s+5−s−⋯\beta(s)=1-3^{-s}+5^{-s}-\cdots denote the Dirichlet beta function. For all sufficiently large even integers ss, we prove dim⁡QspanQ{β(2),β(4),…,β(s)}≥0.21s/log⁡s\dim_{\mathbb{Q}}\mathrm{span}_{\mathbb{Q}}\{\beta(2),\beta(4),\ldots,\beta(s)\}\geq 0.21\sqrt{s/\log s}.

Introduction

The Dirichlet beta function is

β(s)=∑m=0∞(−1)m(2m+1)s.\beta(s)=\sum_{m=0}^{\infty}\frac{(-1)^m}{(2m+1)^s}.

Its values at positive odd integers are nonzero rational multiples of powers of π\pi. The arithmetic of its even values is much less understood. One way to measure progress without settling an individual value is to bound the dimension

D(s)=dim⁡Qspan⁡Q{β(2),β(4),…,β(s)},s≥2 even.(1)D(s)=\dim_{\mathbb{Q}}\operatorname{span}_{\mathbb{Q}}\{\beta(2),\beta(4),\ldots,\beta(s)\},\qquad s\ge2\text{ even}. \tag*{(1)}

A lower bound D(s)≥dD(s)\ge d means that at least dd values in this finite list are linearly independent over the rationals. It implies that at least d−1d-1 of them are irrational, but does not identify those values.

Rivoal and Zudilin [7 Theorem 1] proved a logarithmic lower bound with leading constant 1/(2+log⁡2)1/(2+\log2) for the span after adjoining 1. Fischler [2 Theorem 1] subsequently obtained

D(s)≥1+o(1)1+log⁡2log⁡s(s⟶∞, s even),(2)D(s)\ge\frac{1+o(1)}{1+\log2}\log s\qquad(s\longrightarrow\infty,\ s\text{ even}), \tag*{(2)}

as a special case of his result for periodic Dirichlet series. His later use of Siegel’s lemma to construct rational functions with small coefficients gives a bound of order s/log⁡s\sqrt{s/\log s} for odd zeta values [3].

Mistiaen [5 Theorem 1.0.5 and Remark 3] extends that method to Dirichlet characters whose conductors are not divisible by 4. The restriction excludes the character of conductor 4 associated with β\beta, so that theorem does not cover the even beta values. We obtain the following bound for the beta function.

Theorem 1.1. For every sufficiently large even integer ss,

D(s)≥0.21slog⁡s.D(s)\ge0.21\sqrt{\frac{s}{\log s}}.

The theorem concerns linear independence in a growing family. It does not, in particular, establish the irrationality of β(4)\beta(4). A recent preprint of Kumar and Tosi [4] claims a bound of square-root order for the number of irrational values of real Dirichlet LL-functions. The proof contains unresolved arithmetic errors,1 so we do not regard that version as establishing the claimed bound. Our proof is independent of theirs. Theorem 1.1 concerns the stronger quantity (1): irrational numbers can still satisfy many rational linear relations.

Specializing general results on polylogarithms with periodic coefficients [6] gives bounds involving both even and odd beta values. However, the odd values β(1),β(3),…\beta(1),\beta(3),\ldots are already linearly independent over the rationals: they are nonzero rational multiples of distinct powers of π\pi, and π\pi is transcendental. The lower bound supplied by those results can therefore be met by the odd values alone, without establishing the desired independence among the even values. Our construction avoids this issue by producing linear forms involving only 11 and the even beta values.

How the proof works

For a fixed even cutoff s=2vs=2v, the proof constructs integer linear forms in 11 and the even beta values:

λ0+λ1β(2)+⋯+λvβ(2v),λ0,…,λv∈Z.\lambda_0+\lambda_1\beta(2)+\cdots+\lambda_v\beta(2v),\qquad\lambda_0,\ldots,\lambda_v\in\mathbb{Z}.

If all these beta values were rational, any nonzero such form would have absolute value bounded below by the reciprocal of a common denominator. Linear-independence criteria refine this observation to give a lower bound on the dimension of their span.

With this set of beta values fixed, we use a criterion of Fischler, stated in Proposition 2.1. It requires a family of forms at each large index nn, with controlled growth of their integer coefficients and exponential decay of their values. It also requires a rank condition on the coefficient matrix, which prevents the whole family from vanishing. The dimension bound depends on the decay rate relative to the coefficient growth. Thus constructing a small expression is only the first step: we must control its size after clearing denominators and establish the required rank condition.

The starting point is Fischler’s rational function

Fn(t)=∑i=1a∑j=0nci,j(t+j)i,ci,j∈Z.F_n(t)=\sum_{i=1}^{a}\sum_{j=0}^{n}\frac{c_{i,j}}{(t+j)^i},\qquad c_{i,j}\in\mathbb{Z}.

whose coefficients have controlled size and whose many initial zero Laurent coefficients make it decay rapidly far from its poles [3, Theorem 4]. The coefficients are supplied by an existence theorem; no explicit formula for them is needed. We retain this rational function and sum it over half-integers.

Half-integer arguments already occur in classical approximations to beta values, including the hypergeometric construction of Rivoal and Zudilin [7, Section 2]. They are natural here because powers of t+12t+\frac{1}{2} are proportional to powers of the odd integers 2t+12t+1 in the beta series. Alternating sums therefore produce beta values. Combining the positive and negative half-integer sums removes the odd beta values. § 3 carries this out using generating functions evaluated at z=−1z=-1.

These generating functions satisfy a rational differential system whose coefficients have no pole at −1-1; it is an ordinary point of the system. This avoids the singular evaluation point identified in [5 Section 2]. At an ordinary point, the initial values determine an analytic solution, and its Taylor coefficients express derivatives in terms of those initial values. This is useful for the arithmetic of our linear forms. The sums first produce finite correction terms with rational coefficients. We remove those terms by differentiation before clearing denominators. § 4 then bounds the denominators through the local differential system, and § 5 compares the resulting coefficient growth and decay.

The remaining task is the rank condition. § 6 follows Fischler’s multiplicity method [3 Section 4.5]: failure of the rank condition would force certain polynomial combinations of solutions to have more vanishing than their degrees permit. Our system has an extra diagonal term, so we first make the change z=w2z = w^2 and rescale some components of the solution. This removes that term and allows the independence argument to work. The substitution doubles the relevant polynomial degrees, but the evaluation point now has two preimages, i\mathrm{i} and −i-\mathrm{i}. Counting the vanishing at both recovers the required inequality.

§ 2 states the three inputs from Fischler precisely. Once their hypotheses have been verified, § 7 uses his numerical parameter choice to obtain the stated constant.

Conventions

All logarithms are natural. We write (i)p=i(i+1)⋯(i+p−1)(i)_p = i(i + 1)\cdots(i + p - 1), with (i)0=1(i)_0 = 1, and Hd=∑j=1d1/jH_d = \sum_{j=1}^{d} 1/j for the ddth harmonic number. The symbol i\mathrm{i} denotes the imaginary unit. The auxiliary parameters of the construction are fixed while nn tends to infinity through an indicated infinite set of integers. Every o(n)o(n) in that stage of the proof is uniform in the finite indices and in the specified derivative range. Only in the last section do we let the parameter controlling the largest beta argument tend to infinity.

Three inputs from Fischler

We first state the criterion that turns linear forms into a dimension bound. The other two inputs provide the rational functions from which the forms are built and the multiplicity estimate used to prove their rank condition.

A refined linear-independence criterion

The rows of the matrix below are the coefficients of integer linear forms in the target numbers. The two size bounds measure the growth of those coefficients and the decay of the forms when evaluated at the target vector. The rank condition is the third hypothesis to be proved.

Proposition 2.1 ([3 Proposition 1], over Q\mathbb{Q}). Let θ=(θ0,…,θv)T\theta= (\theta_0,\ldots,\theta_v)^T be a real vector with θ0≠0\theta_0 \ne0. For each nn in an infinite set, let LnL_n be an integer matrix with v+1v+1 columns and any finite number of rows. Suppose that, for fixed B>1B > 1 and α<1\alpha< 1 with α>0\alpha> 0,

max⁡i,j∣(Ln)i,j∣≤Bn+o(n),max⁡i∣(Lnθ)i∣≤αn+o(n).\max_{i,j} |(L_n)_{i,j}| \le B^{n+o(n)}, \qquad\max_i |(L_n\theta)_i| \le\alpha^{n+o(n)}.

Suppose also that, for sufficiently large nn,

Lnx=0,x∈Qv+1⟹x0=0.(3)L_n x = 0,\quad x \in\mathbb{Q}^{v+1} \quad\Longrightarrow\quad x_0 = 0. \tag*{(3)}

Then

dim⁡Qspan⁡Q{θ0,…,θv}≥1−log⁡αlog⁡B.\dim_{\mathbb{Q}} \operatorname{span}_{\mathbb{Q}}\{\theta_0,\ldots,\theta_v\} \ge1 - \frac{\log\alpha}{\log B}.

Condition (3) says that the first column is not a rational linear combination of the other columns. Full column rank is not required. This distinction is useful here because the rational function in Proposition 2.2 is obtained by an existence argument, and its coefficients need not give full rank. In our application, θ0=1\theta_0=1 and the other coordinates are even beta values. We will bound the coefficients and values of the forms in § 5, then prove (3) in § 6. No lower bound on the value of each individual form is required.

A rational function with small coefficients

The construction supplies two properties at once: integer partial-fraction coefficients of controlled size, and high-order vanishing at infinity. The latter means that the function decays rapidly at the arguments where we will sum it.

Proposition 2.2 ([3 Theorem 4]). Let aa be a positive integer and let ω,Ω,r\omega,\Omega,r be rational numbers with

a>Ω≥ω≥1,r≥1.a>\Omega\ge\omega\ge1,\qquad r\ge1.

For every sufficiently large integer nn such that rnrn, ωn\omega n, Ωn\Omega n are integers, there are integers ci,jc_{i,j}, not all zero, for 1≤i≤a1\le i\le a and 0≤j≤n0\le j\le n, with the following properties. Set

Fn(t)=∑i=1a∑j=0nci,j(t+j)i=∑ν≥1Aνt−ν.F_n(t)=\sum_{i=1}^{a}\sum_{j=0}^{n}\frac{c_{i,j}}{(t+j)^i}=\sum_{\nu\ge1}A_\nu t^{-\nu}.

Then Aν=0A_\nu=0 for ν<ωn\nu<\omega n,

∣ci,j∣≤exp⁡(nlog⁡χ+o(n)),log⁡χ=ωlog⁡2+3ω2+ω2log⁡(a+1)+12Ω2log⁡ra−ω,(4)\lvert c_{i,j}\rvert\le\exp(n\log\chi+o(n)),\qquad \log\chi=\frac{\omega\log2+3\omega^2+\omega^2\log(a+1)+\frac{1}{2}\Omega^2\log r}{a-\omega}, \tag*{(4)}

and, uniformly in ν\nu,

∣Aν∣≤exp⁡(nlog⁡χ+o(n))nν{rν−Ωn,ν<Ωn,1,ν≥Ωn.(5)\lvert A_\nu\rvert\le\exp(n\log\chi+o(n))n^{\nu}\begin{cases} r^{\nu-\Omega n}, & \nu<\Omega n,\\ 1, & \nu\ge\Omega n. \end{cases} \tag*{(5)}

Here aa bounds the pole orders, and ωn\omega n is a lower bound for the order of vanishing at infinity. The parameter rr will determine the summation cutoff rnrn. The larger threshold Ωn\Omega n gives the stronger estimate in the first line of (5). These parameters are fixed as nn grows; their choice is postponed until § 7.

Group the coefficients with the same pole order into polynomials

Pi(z)=∑j=0nci,jzj,b=max⁡{i:Pi≢0}.P_i(z)=\sum_{j=0}^{n}c_{i,j}z^j,\qquad b=\max\{i:P_i\not\equiv0\}.

The PiP_i will multiply the special functions obtained by summing FnF_n. We retain the actual largest index bb, rather than replacing it by aa, because the rank proof needs a nonzero highest coefficient PbP_b. The integer bb may depend on nn, but always satisfies 1≤b≤a1\le b\le a.

A multiplicity estimate

The rank proof will argue by contradiction. If the coefficient matrix has a forbidden kernel vector, we can construct polynomial combinations of solutions with many vanishing derivatives. The following theorem limits their total order of vanishing in terms of the polynomial degrees. It plays the role of a zero-counting bound for these combinations.

Let Y′=A(w)YY'=\mathcal{A}(w)Y be a fixed rational differential system of size qq. For polynomials S0,…,Sq−1S_0,\ldots,S_{q-1} of degree at most mm, write

R(Y)=∑j=0q−1SjYj.\mathcal{R}(Y)=\sum_{j=0}^{q-1}S_jY_j.

We call this scalar function the remainder associated with the solution YY and the fixed polynomial row (S0,…,Sq−1)(S_0,\ldots,S_{q-1}). The selected remainders must satisfy a common scalar linear differential equation of some order μ\mu, with rational coefficients. In our application such an equation will follow from the finite dimension of the system.

At a point σ\sigma, the Nilsson class consists of finite sums of holomorphic functions multiplied by complex powers and nonnegative integer powers of a logarithm of the local coordinate. At infinity the local coordinate is 1/w1/w. The order is the least real part of a power that occurs after expanding the holomorphic factors; logarithmic factors do not change it. For example, ord⁡0(we(log⁡w)j)=Re⁡e\operatorname{ord}_0(w^e(\log w)^j)=\operatorname{Re}e. In particular, wNw^N has order −N-N at infinity. Negative orders will therefore occur when we apply the theorem.

Proposition 2.3 ([3 Theorem 3]; see also [1 Theorem 3.1]). Let Σ\Sigma be a fixed finite set of points of the Riemann sphere containing infinity. At each σ∈Σ\sigma\in\Sigma, choose a family of local solutions Yσ,jY_{\sigma,j}, indexed by j∈Jσj\in J_\sigma, whose remainders are in the Nilsson class and are linearly independent over C\mathbb{C}. If a nonzero rational differential operator of order μ\mu annihilates all these remainders, then

∑σ∈Σ∑j∈Jσord⁡σR(Yσ,j)≤(m+1)(μ−∣J∞∣)+C.\sum_{\sigma\in\Sigma}\sum_{j\in J_\sigma}\operatorname{ord}_{\sigma}\mathcal{R}(Y_{\sigma,j})\leq(m+1)(\mu-\lvert J_\infty\rvert)+C.

The constant CC depends only on the differential system and on Σ\Sigma.

The solution families at different points need not agree by analytic continuation, and no independence between different families is required. These features are explicit in [1 Section 3.1]. We use the formulation in [3], which also allows negative orders at infinity, as in its proof of Proposition 3. The constant is uniform in the polynomial row and in the selected solutions. This uniformity is essential when that row and the solutions depend on nn.

Half-integer sums and their differential system

We now turn the rational function of Proposition 2.2 into linear forms in beta values. First we identify the functions whose values at −1-1 give the required even arguments. We then express the sums of FnF_n in terms of those functions and remove the finite corrections by differentiation.

The functions at the evaluation point

The half-integer denominators are chosen so that alternating signs give the beta series: (t+12)−j=2j(2t+1)−j(t+\frac{1}{2})^{-j}=2^j(2t+1)^{-j}. For j≥1j\geq1, put

Φj(z)=∑t=0∞zt(t+12)j(∣z∣<1).\Phi_j(z)=\sum_{t=0}^{\infty}\frac{z^t}{(t+\frac{1}{2})^j}\qquad(|z|<1).

The integral

Φj(z)=1(j−1)!∫01x−1/2(−log⁡x)j−11−zx dx(6)\Phi_j(z)=\frac{1}{(j-1)!}\int_0^1\frac{x^{-1/2}(-\log x)^{j-1}}{1-zx}\,\mathrm{d}x \tag*{(6)}

continues it to C∖[1,∞)\mathbb{C}\setminus[1,\infty). In particular, the series or its Abel limit gives Φj(−1)=2jβ(j)\Phi_j(-1)=2^j\beta(j), including $j=1.

We still need to remove the odd arguments jj. The positive and negative half-integer sums lead to functions at zz and 1/z1/z; we combine them as

Hj(z)=z−1Φj(1/z)−(−1)jΦj(z).H_j(z)=z^{-1}\Phi_j(1/z)-(-1)^j\Phi_j(z).

Both terms are analytic near −1-1 by (6). At that point the combination supplies the factor 1+(−1)j1+(-1)^j:

Hj(−1)=−(1+(−1)j)2jβ(j).(7)H_j(-1)=-(1+(-1)^j)2^j\beta(j). \tag*{(7)}

Thus Hj(−1)H_j(-1) is zero for odd jj and is −2j+1β(j)-2^{j+1}\beta(j) for even jj. Their derivatives are rational-function combinations of the same functions and the constant function. Let Φ0(z)=1/(1−z)\Phi_0(z)=1/(1-z). For any positive integer dd, the identity zΦj′(z)=Φj−1(z)−Φj(z)/2z\Phi_j'(z)=\Phi_{j-1}(z)-\Phi_j(z)/2 implies that (1,H1,…,Hd)(1,H_1,\ldots,H_d) is a solution of

y0′=0,y1′=2z(1−z)y0−12zy1,yj′=−1zyj−1−12zyj(2≤j≤d).(8)\begin{aligned} y_0'&=0,\\ y_1'&=\frac{2}{z(1-z)}y_0-\frac{1}{2z}y_1,\\ y_j'&=-\frac{1}{z}y_{j-1}-\frac{1}{2z}y_j \qquad(2\le j\le d). \tag*{(8)} \end{aligned}

The coordinate y0y_0 represents the constant function 11, which appears in the derivative of H1H_1. Since the coefficients have no pole at −1-1, arbitrary initial values there determine an analytic solution. We will use the beta-valued initial vector for the linear forms, and arbitrary initial vectors for the rank proof.

Summation and finite tails

From now on we assume r≥2r\ge2, and set M=rnM=rn. The sums start beyond this cutoff so that the decay estimates for FnF_n apply. To obtain several families of forms we use FnF_n and its first hh derivatives, where 0≤h≤a0\le h\le a is an integer. A derivative of order pp raises a denominator power ii to i+pi+p, so we use the system (8) with d=a+hd=a+h.

The powers of zz in the following definition align the two reflected sums with HjH_j. The factor zMz^M makes the finite corrections polynomial, as the next lemma shows. For 0≤p≤h0\le p\le h define, on the unit circle,

Sn,p(z)=zM∑t=M∞{Fn(p)(t+12)z−t−1−Fn(p)(−t−12)zt}.(9)S_{n,p}(z)=z^M\sum_{t=M}^{\infty}\left\{F_n^{(p)}\left(t+\frac{1}{2}\right)z^{-t-1}-F_n^{(p)}\left(-t-\frac{1}{2}\right)z^t\right\}. \tag*{(9)}

Here Fn(p)F_n^{(p)} is differentiated with respect to its argument. Near −1-1 we continue the two tails separately, using the identity below.

Lemma 3.1. Near −1-1 there is an identity

Sn,p(z)=Vn,p(z)+zM∑i=1b(−1)p(i)pPi(z)Hi+p(z),deg⁡Vn,p≤2M−1.(10)S_{n,p}(z)=V_{n,p}(z)+z^M\sum_{i=1}^{b}(-1)^p(i)_pP_i(z)H_{i+p}(z),\qquad\deg V_{n,p}\le2M-1. \tag*{(10)}

Proof. Differentiate the partial fractions of FnF_n. For a fixed pair i,ji,j write s=i+ps=i+p and change the summation index to l=t+jl=t+j in the positive tail, and to l=t−jl=t-j in the negative tail. The infinite parts give the corresponding term of (10). The finite correction is (−1)p(i)pci,j(-1)^p(i)_pc_{i,j} times

−∑l=0M+j−1zM+j−l−1(l+12)s+(−1)s∑l=0M−j−1zM+j+l(l+12)s.(11)-\sum_{l=0}^{M+j-1}\frac{z^{M+j-l-1}}{(l+\frac{1}{2})^s}+(-1)^s\sum_{l=0}^{M-j-1}\frac{z^{M+j+l}}{(l+\frac{1}{2})^s}. \tag*{(11)}

Since $0 \le j \le n \le M,allexponentsarenonnegativeandatmost$2M−1, all exponents are nonnegative and at most \$2M-1. Summing these corrections proves the assertion.

The positive and negative infinite tails are initially analytic on opposite sides of the circle. Each has the displayed continuation near −1-1 by (6). For the derivative orders used below, the differentiated series converge absolutely on the circle; their values agree with the derivatives of the continuations by Abel limits.

Rows representing derivatives

Write the nonpolynomial part of (10) as ∑iCi[p]Hi\sum_i C_i^{[p]}H_i. Its coefficient polynomials are

C0[p]=0,Ci[p](z)={(−1)p(i−p)zMPi−p(z),p+1≤i≤p+b,0,otherwise.(12)C_0^{[p]}=0,\qquad C_i^{[p]}(z)= \begin{cases} (-1)^p(i-p)z^M P_{i-p}(z), & p+1\le i\le p+b,\\ 0, & \text{otherwise}. \end{cases} \tag*{(12)}

The degree of each is at most M+nM+n. They have integer coefficients. We next track the coefficients produced by differentiating this expression. The system (8) expresses every derivative in the same functions, so no additional special functions are needed. Starting with Q1,i[p]=Ci[p]Q_{1,i}^{[p]}=C_i^{[p]}, the product rule gives

Qk+1,0[p]=(Qk,0[p])′+2Qk,1[p]z(1−z),Q_{k+1,0}^{[p]}=(Q_{k,0}^{[p]})' + \frac{2Q_{k,1}^{[p]}}{z(1-z)},
Qk+1,i[p]=(Qk,i[p])′−Qk,i[p]2z−Qk,i+1[p]z(1≤i≤d),(13)Q_{k+1,i}^{[p]}=(Q_{k,i}^{[p]})' - \frac{Q_{k,i}^{[p]}}{2z} - \frac{Q_{k,i+1}^{[p]}}{z}\qquad(1\le i\le d), \tag*{(13)}

where Qk,d+1[p]=0Q_{k,d+1}^{[p]}=0. The index k=1k=1 corresponds to no differentiation; hence Qk[p]Q_k^{[p]} represents the derivative of order k−1k-1. For every solution of (8), differentiation gives

(∑i=1dCi[p]yi)(k−1)=∑i=0dQk,i[p]yi.(14)\left(\sum_{i=1}^{d} C_i^{[p]}y_i\right)^{(k-1)}=\sum_{i=0}^{d}Q_{k,i}^{[p]}y_i. \tag*{(14)}

For k≥2M+2k\ge2M+2, the derivative also kills Vn,pV_{n,p}, so

Sn,p(k−1)(−1)(k−1)!=Qk,0[p](−1)(k−1)!+∑i=1dQk,i[p](−1)(k−1)!Hi(−1).(15)\frac{S_{n,p}^{(k-1)}(-1)}{(k-1)!} = \frac{Q_{k,0}^{[p]}(-1)}{(k-1)!} +\sum_{i=1}^{d}\frac{Q_{k,i}^{[p]}(-1)}{(k-1)!}H_i(-1). \tag*{(15)}

Equation (7) makes the right side a rational linear form in 11 and the even beta values. Dividing by (k−1)!(k-1)! turns the derivatives into Taylor coefficients, whose denominators we can control in the next section. The finite correction Vn,pV_{n,p} has disappeared, so its coefficient denominators do not have to be cleared. The universal identity (14), valid for arbitrary initial values of the solution, will supply the rank argument.

Denominators of the local solution

Our aim is to turn the rational linear forms in (15) into integer linear forms without losing their smallness. Put u=z+1u=z+1 and let U(u)U(u) be the fundamental matrix of (8), normalized by U(0)=IU(0)=I. Thus the solution with initial column xx at −1-1 is U(u)xU(u)x. The Taylor coefficients of UU record how the derivatives of a solution depend on its initial values. Since the polynomial row C[p]C^{[p]} has integer coefficients, denominators for these Taylor coefficients will suffice for our forms.

We use the distinct-product least common multiple from [3 Lemma 2]; here positive indices suffice. The reason for distinct products will emerge from solving the differential system by successive integrations: each integration contributes a denominator equal to a new, strictly larger Taylor degree.

For integers d≥1d \ge1 and k≥0k \ge0, define

Δd,k=lcm⁡{∏t∈It:I⊆{1,…,k}, ∣I∣≤d},Dd,k=4kΔd,k.(16)\Delta_{d,k}=\operatorname{lcm}\left\{\prod_{t\in I}t:I\subseteq\{1,\ldots,k\},\ |I|\le d\right\},\qquad D_{d,k}=4^k\Delta_{d,k}. \tag*{(16)}

Empty products and lcm⁡(1,…,0)\operatorname{lcm}(1,\ldots,0) are taken to be 11.

Lemma 4.1. One has

Δd,k=∏j=1dlcm⁡(1,…,⌊k/j⌋).(17)\Delta_{d,k}=\prod_{j=1}^{d}\operatorname{lcm}(1,\ldots,\lfloor k/j\rfloor). \tag*{(17)}

In particular, Dd,kD_{d,k} divides Dd,k+1D_{d,k+1}, and for fixed dd,

log⁡Dd,k=(log⁡4+Hd)k+o(k).(18)\log D_{d,k}=(\log4+H_d)k+o(k). \tag*{(18)}

Proof. For a prime pp, the maximum valuation of a product of at most dd distinct integers in {1,…,k}\{1,\ldots,k\} is the sum of the min⁡{d,k}\min\{d,k\} largest valuations in that set. It equals

∑e≥1min⁡{d,⌊k/pe⌋}.\sum_{e\ge1}\min\{d,\lfloor k/p^e\rfloor\}.

The product on the right of (4.2) has the same valuation: for each ee, there are exactly min⁡{d,⌊k/pe⌋}\min\{d,\lfloor k/p^e\rfloor\} indices jj with pe≤⌊k/j⌋p^e\le\lfloor k/j\rfloor. Divisibility follows either from the definition or from this formula. Finally, the prime number theorem gives log⁡lcm⁡(1,…,K)=K+o(K)\log\operatorname{lcm}(1,\ldots,K)=K+o(K). Sum this estimate over the fixed set 1≤j≤d1\le j\le d to obtain (4.3).

The dependence on dd is important. Allowing dd arbitrary factors from {1,…,k}\{1,\ldots,k\} would give the larger multiplier lcm⁡(1,…,k)d\operatorname{lcm}(1,\ldots,k)^d, with logarithm asymptotic to dkdk. Distinct factors give HdkH_dk instead. Since HdH_d grows only logarithmically with dd, this keeps the arithmetic cost small when the number of beta values is later increased.

Lemma 4.2. For the normalized fundamental matrix UU defined above,

Dd,k[uk]U(u)∈Md+1(Z)(k≥0).D_{d,k}[u^k]U(u)\in M_{d+1}(\mathbb{Z})\qquad(k\ge0).

Proof. The common diagonal term in the equations is removed by an integrating factor. Put η(u)=(1−u)−1/2\eta(u)=(1-u)^{-1/2}, set yi=η(u)viy_i=\eta(u)v_i for i≥1i\ge1, and leave y0=v0y_0=v_0 unchanged. Since η(0)=1\eta(0)=1, this does not change initial values. The transformed equations are

v0′=0,v1′=−η(u)1−u/2v0,vi′=vi−11−u(i≥2).(19)v'_0=0,\qquad v'_1=-\frac{\eta(u)}{1-u/2}v_0,\qquad v'_i=\frac{v_{i-1}}{1-u}\quad(i\ge2). \tag*{(19)}

Both η(u)\eta(u) and −η(u)/(1−u/2)-\eta(u)/(1-u/2) have their degree-jj coefficient in 4−jZ4^{-j}\mathbb{Z}. For η\eta, this follows from

η(u)=∑j≥0(2jj)uj4j.\eta(u)=\sum_{j\ge0}\binom{2j}{j}\frac{u^j}{4^j}.

multiplication by (1−u/2)−1(1-u/2)^{-1} preserves the asserted denominator bound. The coefficients of (1−u)−1(1-u)^{-1} are integers.

Each entry of the normalized solution of (4.4) is a finite sum of iterated integrals of depth at most dd, and multiplication by η\eta restores UU. Expand one contribution to a coefficient of degree kk. At each integration, the degree increases strictly. Its integration denominators are therefore distinct integers

1≤t1<⋯<te≤k,e≤d.1 \le t_1 < \cdots< t_e \le k,\qquad e \le d.

Their product divides Δd,k\Delta_{d,k}. The total degrees supplied by coefficients of the multiplied series, including the final factor η\eta, are at most kk; their powers of 44 divide 4k4^k. This controls each contribution and hence their sum. The argument includes the column with v0(0)=1v_0(0)=1, whose first integration uses the inhomogeneous term displayed in (19).

Corollary 4.3. For every p,k,ip,k,i in the construction,

Dd,k−1Qk,i[p](−1)(k−1)!∈Z.\mathcal{D}_{d,k-1}\frac{Q^{[p]}_{k,i}(-1)}{(k-1)!}\in\mathbb{Z}.

For k≥2M+2k\ge2M+2 this gives an integer linear form in 1,β(2),…,β(2⌊d/2⌋)1,\beta(2),\ldots,\beta(2\lfloor d/2\rfloor) whose value is

Λn,p,k=Dd,k−1Sn,p(k−1)(−1)(k−1)!.(20)\Lambda_{n,p,k}=\mathcal{D}_{d,k-1}\frac{S^{(k-1)}_{n,p}(-1)}{(k-1)!}. \tag*{(20)}

Proof. The row C[p](−1+u)C^{[p]}(-1+u) has integral Taylor coefficients. The coefficient of uk−1u^{k-1} in C[p](−1+u)U(u)C^{[p]}(-1+u)U(u) is the row Qk[p](−1)/(k−1)!Q^{[p]}_k(-1)/(k-1)!, by (14). Use Lemma 4.2 and Dd,j∣Dd,k−1\mathcal{D}_{d,j}\mid\mathcal{D}_{d,k-1} for j≤k−1j\le k-1. Substitution of (7) multiplies even columns by integers and sets odd contributions to zero.

Sizes of coefficients and of linear forms

We now supply the two size bounds in Proposition 2.1. Both include the multiplier from § 4: the forms must remain small after their coefficients have been made integral. We use derivatives of order exceeding the degree of the finite correction, while leaving enough decay in the tail for its sum to converge. Accordingly, assume

2r<κ<ω,2M+2≤k≤κn,0≤p≤h.(21)2r<\kappa<\omega,\qquad2M+2\le k\le\kappa n,\qquad0\le p\le h. \tag*{(21)}

In addition to the integer conditions in Proposition 2.2, we require κn\kappa n to be integral. We call such nn admissible: rnrn, ωn\omega n, Ωn\Omega n and κn\kappa n are all integers. We prove bounds uniform throughout the displayed range.

Proposition 5.1. Every coefficient of the integer form Λn,p,k\Lambda_{n,p,k} is at most Bn+o(n)B^{n+o(n)} in absolute value, where

log⁡B=log⁡χ+(r+1)log⁡(3/2)+κ(log⁡8+Ha+h).(22)\log B=\log\chi+(r+1)\log(3/2)+\kappa(\log8+H_{a+h}). \tag*{(22)}

The values satisfy ∣Λn,p,k∣≤αn+o(n)|\Lambda_{n,p,k}|\le\alpha^{n+o(n)}, where

log⁡α=log⁡χ−Ωlog⁡r+κ(1+log⁡4+Ha+h).(23)\log\alpha=\log\chi-\Omega\log r+\kappa(1+\log4+H_{a+h}). \tag*{(23)}

The term −Ωlog⁡r-\Omega\log r in (23) supplies the decay; the other terms are costs from the coefficient bound, differentiation and denominators. § 7 chooses the parameters so that log⁡α<0\log\alpha<0 and compares this decay with log⁡B\log B.

Coefficient bound. On the disk ∣z+1∣≤1/2|z+1|\le1/2, the row-sum norm of the matrix in (8) is at most 11/311/3, since ∣z∣≥1/2|z|\ge1/2 and ∣1−z∣≥3/2|1-z|\ge3/2. Integrating along a straight segment from −1-1 gives ∥U(z+1)∥≤e11/6\|U(z+1)\|\le e^{11/6}. Equations (4) and (12) give

max⁡i∣Ci[p](z)∣≤exp⁡(nlog⁡χ+o(n))(3/2)(r+1)n\max_i\left|C_i^{[p]}(z)\right|\le\exp(n\log\chi+o(n))(3/2)^{(r+1)n}

on the same disk. The factors (ip)\binom{i}{p} depend only on the fixed parameters, and the number of coefficients is polynomial in nn. Cauchy’s coefficient estimate therefore bounds Qk,i[p](−1)/(k−1)!Q^{[p]}_{k,i}(-1)/(k-1)! by this expression times 2k−12^{k-1} and a fixed constant. Multiply by Dd,k−1D_{d,k-1}. By monotonicity it is enough to bound Dd,κnD_{d,\kappa n}, and (18) yields (22). The factors 2i+12^{i+1} in (7) are fixed while nn tends to infinity.

Value bound. For real x≥M+1/2x \ge M + 1/2 and 0≤p≤h0 \le p \le h, we first claim

∣Fn(p)(±x)∣≤exp⁡(nlog⁡χ+o(n))r−Ωn(M/x)ωn.(24)\left|F_n^{(p)}(\pm x)\right| \le\exp(n\log\chi+ o(n)) r^{-\Omega n}(M/x)^{\omega n}. \tag*{(24)}

The Laurent series converges for ∣t∣>n|t| > n, because all poles lie among 0,−1,…,−n0,-1,\ldots,-n. Differentiation adds the factor (ν)px−p(\nu)_p x^{-p} to the bound for the ν\nuth term. For ωn≤ν<Ωn\omega n \le\nu< \Omega n, combine (5) as

rν−Ωn(n/x)ν=r−Ωn(M/x)ν.r^{\nu-\Omega n}(n/x)^\nu= r^{-\Omega n}(M/x)^\nu.

There are O(n)O(n) terms, with remaining factors bounded by a fixed power of nn. For ν≥Ωn\nu\ge\Omega n, write (n/x)ν=r−ν(M/x)ν(n/x)^\nu= r^{-\nu}(M/x)^\nu. The remaining tail is bounded by a polynomial in nn times r−Ωnr^{-\Omega n}, because r≥2r \ge2 and a,pa,p are fixed. This proves (24), uniformly in xx and $p.

Write ℓ=k−1\ell= k - 1. After division by ℓ!\ell!, the absolute derivatives at −1-1 of the monomials in (9) are

(t−M+ℓℓ),(M+tℓ),\binom{t-M+\ell}{\ell}, \qquad\binom{M+t}{\ell},

where the second is zero if M+t<ℓM+t < \ell. For x=t+1/2x = t+1/2 and ℓ≥2M+1\ell\ge2M+1, both upper arguments are at most (ℓ/M)x(\ell/M)x. The elementary bound (vℓ)≤(ev/ℓ)ℓ\binom{v}{\ell} \le(ev/\ell)^\ell gives

∣Sn,p(ℓ)(−1)ℓ!∣≤exp⁡(nlog⁡χ+o(n))r−Ωnℓℓ∑t=M∞(Mt+1/2)ωn−ℓ.\left|\frac{S_{n,p}^{(\ell)}(-1)}{\ell!}\right| \le\exp(n\log\chi+ o(n))r^{-\Omega n}\ell^\ell \sum_{t=M}^{\infty}\left(\frac{M}{t+1/2}\right)^{\omega n-\ell}.

The exponent E=ωn−ℓE = \omega n-\ell satisfies E−1≥(ω−κ)nE-1 \ge(\omega-\kappa)n. The sum is at most 1+M/(E−1)1+M/(E-1) by comparison with an integral, so it is uniformly bounded. We obtain

∣Sn,p(ℓ)(−1)ℓ!∣≤exp⁡(n(log⁡χ−Ωlog⁡r+κ)+o(n)).\left|\frac{S_{n,p}^{(\ell)}(-1)}{\ell!}\right| \le\exp\bigl(n(\log\chi-\Omega\log r+\kappa)+o(n)\bigr).

These bounds also justify the absolute convergence of the differentiated series used in Lemma 3.1. Multiplication by Dd,ℓ≤Dd,κnD_{d,\ell}\le D_{d,\kappa n} proves (23).

The weak rank condition

The size estimates are now available, but Proposition 2.1 also requires the weak rank condition (3). We prove it first for the derivative rows Qk[p](−1)Q^{[p]}_k(-1), before removing the odd columns. § 7 then passes it to the integer forms in even beta values. The rows have zero entries for i>b+hi>b+h: this holds for C[p]C^{[p]} and is preserved by (13). We can therefore work with the system truncated at component b+hb+h.

The proof adapts [3 Section 4.5]. A forbidden kernel vector would give solutions whose polynomial combinations have many vanishing derivatives at −1-1. We convert these into remainders for a single polynomial row, prove that the remainders are independent, and apply Proposition 2.3 to contradict their total vanishing. The inequality below is the one obtained from that final count.

Proposition 6.1. Assume

(h+1)(κ−2r)+ω>a.(25)(h+1)(\kappa-2r)+\omega>a. \tag*{(25)}

For all sufficiently large admissible nn, if x0,…,xb+h∈Qx_0,\ldots,x_{b+h}\in\mathbb{Q} satisfy

∑i=0b+hQk,i[p](−1)xi=0(0≤p≤h,2M+2≤k≤κn),\sum_{i=0}^{b+h}Q_{k,i}^{[p]}(-1)x_i=0\qquad(0\leq p\leq h,\quad2M+2\leq k\leq\kappa n),

then x0=0x_0=0.

Taylor corrections and a common polynomial row

Suppose x0≠0x_0\ne0, and scale so that x0=1x_0=1. Let g0,…,gb+hg_0,\ldots,g_{b+h} solve (8) near −1-1 with gi(−1)=xig_i(-1)=x_i. In particular g0=1g_0=1. The kernel equations say that certain high derivatives of ∑iCi[p]gi\sum_i C_i^{[p]}g_i vanish at −1-1. To turn this into a zero of high order, we must also remove the lower Taylor coefficients. Choose Tp∈Q[z]T_p\in\mathbb{Q}[z] of degree at most 2M2M to cancel the Taylor polynomial through degree 2M2M of ∑iCi[p]gi\sum_i C_i^{[p]}g_i at −1-1. The universal identity (14) and the assumed vanishing of the higher derivatives give

fp(z):=Tp(z)+∑i=1b+hCi[p](z)gi(z)=O((z+1)κn).(26)f_p(z):=T_p(z)+\sum_{i=1}^{b+h}C_i^{[p]}(z)g_i(z)=O((z+1)^{\kappa n}). \tag*{(26)}

The derivatives of orders 0,…,2M0,\ldots,2M vanish by the choice of TpT_p; those of orders 2M+1,…,κn−12M+1,\ldots,\kappa n-1 vanish by hypothesis.

The functions fpf_p still have different coefficient rows. The multiplicity theorem instead needs one fixed polynomial row applied to several solutions of the same system. Following Fischler, we arrange this by combining the fpf_p with powers of a local branch L(z)=−log⁡zL(z)=-\log z near −1-1:

ρq(z)=∑p=0q(qp)L(z)q−pfp(z)(0≤q≤h).\rho_q(z)=\sum_{p=0}^{q}\binom{q}{p}L(z)^{q-p}f_p(z)\qquad(0\leq q\leq h).

Each ρq\rho_q retains the zero of order at least κn\kappa n at −1-1. The common polynomial row will have h+1h+1 entries for the corrections TpT_p and bb entries for the original polynomials PiP_i:

Si(z)={Th−i(z)/(h−i)!,0≤i≤h,zMPi−h(z),h+1≤i≤b+h.(27)S_i(z)= \begin{cases} T_{h-i}(z)/(h-i)!, & 0\leq i\leq h,\\ z^M P_{i-h}(z), & h+1\leq i\leq b+h. \end{cases} \tag*{(27)}

The dependence on qq is placed in the solution vectors. Define

yi,q(z)={0,i<h−q,q!(i+q−h)!L(z)i+q−h,h−q≤i≤h,∑p=0q(qp)L(z)q−p(−1)p(i−h)pgi−h+p(z),i>h.(28)y_{i,q}(z)= \begin{cases} 0, & i<h-q,\\ \dfrac{q!}{(i+q-h)!}L(z)^{i+q-h}, & h-q\leq i\leq h,\\ \sum_{p=0}^{q}\binom{q}{p}L(z)^{q-p}(-1)^p(i-h)^p g_{i-h+p}(z), & i>h. \end{cases} \tag*{(28)}

Then ρq=∑iSiyi,q\rho_q=\sum_i S_i y_{i,q}. All vectors Yq=(y0,q,…,yb+h,q)Y_q=(y_{0,q},\ldots,y_{b+h,q}) solve the same system

y0′=0,yi′=−yi−1/z(1≤i≤h),yh+1′=2z(1−z)yh−12zyh+1,yi′=−yi−1/z−yi/(2z)(i≥h+2).(29)\begin{aligned} y'_0&=0,\\ y'_i&=-y_{i-1}/z &&(1\leq i\leq h),\\ y'_{h+1}&=\frac{2}{z(1-z)}y_h-\frac{1}{2z}y_{h+1},\\ y'_i&=-y_{i-1}/z-y_i/(2z) &&(i\geq h+2). \tag*{(29)} \end{aligned}

The first h+1h+1 components are powers of LL; the components with i>hi>h contain the original solution gg. On differentiating the latter components, terms from the derivatives of Lq−pL^{q-p} combine with those from the derivatives of gi−h+pg_{i-h+p}. After reindexing, their coefficients simplify by the identity

(j)p−p(j)p−1=(j−1)p(j≥2, p≥1).(j)_p-p(j)_{p-1}=(j-1)_p \qquad(j\ge2,\ p\ge1).

The p=0p=0 factor is 1. This gives the equation at index i=h+ji=h+j. When j=1j=1, the corresponding factors vanish for p≥1p\ge1; the remaining source is 2Lq/[z(1−z)]2L^q/[z(1-z)], giving the equation for yh+1y_{h+1}. The diagonal term remains −yi/(2z)-y_i/(2z) in every summand. The equations for i≤hi\le h follow by differentiating powers of LL.

Quadratic change of variable

The common diagonal term −yi/(2z)-y_i/(2z) in the components i>hi>h can be removed by multiplying those components by z\sqrt{z}. We introduce ww with z=w2z=w^2 so that this change is rational in the new variable and the coefficient row remains polynomial. Set

vi(w)={yi(w2),i≤h,w yi(w2),i>h.v_i(w)= \begin{cases} y_i(w^2), & i\le h,\\ w\,y_i(w^2), & i>h. \end{cases}

The diagonal terms cancel, leaving

v0′=0,v'_0=0,
vi′=−2vi−1/w(i≥1, i≠h+1),(30)v'_i=-2v_{i-1}/w \qquad(i\ge1,\ i\ne h+1), \tag*{(30)}
vh+1′=4vh/(1−w2).v'_{h+1}=4v_h/(1-w^2).

The common coefficient polynomials become

S~i(w)={Si(w2),i≤h,w2M−1Pi−h(w2),i>h.(31)\widetilde{S}_i(w)= \begin{cases} S_i(w^2), & i\le h,\\ w^{2M-1}P_{i-h}(w^2), & i>h. \end{cases} \tag*{(31)}

Their degrees are at most 4M4M: those with i≤hi\le h have degree at most 4M4M, and those with i>hi>h have degree at most 2(M+n)−1≤4M−12(M+n)-1\le4M-1. For the solutions obtained from YqY_q, the remainder ∑iS~ivi\sum_i \widetilde{S}_i v_i equals ρq(w2)\rho_q(w^2). It vanishes to order at least κn\kappa n at each of ii and −i-i.

The change of variable increases the polynomial degrees, but it also gives two points at which to count the high-order zeros. The same polynomials (6.7) are used at both points; only the local solution families differ. This is why the Taylor corrections were constructed in zz before making the change of variable.

Independence by residues

To count these zeros with Proposition 2.3, we must know that no nonzero constant combination of the h+1h+1 remainders vanishes identically. The triangular form of the new system makes this possible. Each derivative link has a nonzero residue, whereas the derivative of a rational function has zero residue at every finite point. The following lemma uses this to rule out rational-function relations between successive components. It abstracts the argument in [3 Section 4.5, Step 4]. Different links of the system may use different finite poles.

Lemma 6.2. Suppose v0v_0 is a nonzero constant and vj′=aj(w)vj−1v'_j=a_j(w)v_{j-1} for 1≤j≤t1\le j\le t, where each rational function aja_j has a nonzero residue at some finite point. Then v0,…,vtv_0,\ldots,v_t are linearly independent over C(w)\mathbb{C}(w).

Proof. Clear the denominators of a putative rational relation and write it as ∑i=0αUivi=0\sum_{i=0}^{\alpha} U_i v_i=0, with Uα≠0U_\alpha\ne0 and α≥1\alpha\ge1. Let D=deg⁡UαD=\deg U_\alpha. Differentiating D+1D+1 times eliminates vαv_\alpha. The coefficient of vα−1v_{\alpha-1} is

Uα−1(D+1)+∑j=0D(aαUα(j))(D−j).(32)U_{\alpha-1}^{(D+1)}+\sum_{j=0}^{D}\left(a_\alpha U_\alpha^{(j)}\right)^{(D-j)}. \tag*{(32)}

This follows by differentiating UαvαU_\alpha v_\alpha successively and retaining the two highest components. All summands except j=Dj=D are derivatives of rational functions; the first term is a polynomial. They have zero residue at every finite point. The remaining residue is Uα(D)Res⁡(aα)U_\alpha^{(D)}\operatorname{Res}(a_\alpha), nonzero at a suitable point. Thus (32) is not the zero function. Clearing denominators gives a polynomial relation with nonzero highest coefficient at index α−1\alpha-1. Descent eventually gives a nonzero polynomial times the nonzero constant v0v_0 equal to zero, a contradiction.

In (30), the link −2/w-2/w has residue −2-2 at 00, and 4/(1−w2)4/(1-w^2) has residue −2-2 at 11. Consider a nonzero constant combination of the solutions YqY_q. If q0q_0 is the largest index with nonzero coefficient, its first nonzero component is at index h−q0h-q_0 and is a nonzero constant, by (28). This component remains constant after the change of variable and rescaling. Lemma 6.2, starting at that index, shows that the remainder cannot vanish identically, because its highest coefficient S~b+h=w2M−1Pb(w2)\widetilde{S}_{b+h}=w^{2M-1}P_b(w^2) is nonzero. Thus the h+1h+1 high-order remainders are linearly independent at each of ii and −i-i.

The other local remainders

We also need remainders at 00, infinity and ±1\pm1. These will come from solutions whose first h+1h+1 components vanish. The remaining equations then integrate to powers of a logarithm. Their combined orders at 00 and infinity will be independent of MM, while one of them will inherit additional zeros at ±1\pm1 from the decay of FnF_n.

For j=1,…,bj=1,\ldots,b, system (30) has a solution whose components below h+jh+j vanish and whose remaining components are

v~i,j(w)=(−log⁡(w2))i−h−j(i−h−j)!(i≥h+j).\widetilde{v}_{i,j}(w)=\frac{(-\log(w^2))^{i-h-j}}{(i-h-j)!}\qquad(i\ge h+j).

Its remainder is

ρ~j(w)=w2M−1∑i=jbPi(w2)(−log⁡(w2))i−j(i−j)!.(33)\widetilde{\rho}_j(w)=w^{2M-1}\sum_{i=j}^{b}P_i(w^2)\frac{(-\log(w^2))^{i-j}}{(i-j)!}. \tag*{(33)}

These bb remainders are independent. In a nonzero constant relation, the least index jj with nonzero coefficient supplies the unique highest logarithmic degree, with a nonzero coefficient proportional to PbP_b. This is impossible because log⁡(w2)\log(w^2) is transcendental over C(w)\mathbb{C}(w).

At 00, each remainder has order at least 2M−12M-1; at infinity its order is at least −2(M+n)+1-2(M+n)+1. For the zeros at ±1\pm1, consider

Rn(z):=∑i=1bPi(z)(−log⁡z)i−1(i−1)!=O((z−1)ωn−1)(34)R_n(z):=\sum_{i=1}^{b}P_i(z)\frac{(-\log z)^{i-1}}{(i-1)!}=O((z-1)^{\omega_n-1}) \tag*{(34)}

near 11, on the branch log⁡1=0\log1=0. The asserted order is another form of the vanishing of FnF_n at infinity. Indeed, the partial fractions give the Laplace-transform identity

Fn(t)=∫0∞e−tu∑i=1bPi(e−u)ui−1(i−1)! du(t>0).F_n(t)=\int_{0}^{\infty}e^{-tu}\sum_{i=1}^{b}P_i(e^{-u})\frac{u^{i-1}}{(i-1)!}\,du\qquad(t>0).

If the analytic function multiplying e−tue^{-tu} is G(u)G(u), the coefficient of t−k−1t^{-k-1} is G(k)(0)G^{(k)}(0). Proposition 2.2 therefore implies that GG vanishes to order at least ωn−1\omega n-1. Since G(u)=Rn(e−u)G(u)=R_n(e^{-u}), this proves (34). This is the observation used in [3 Sections 3.5 and 4.5].

Now ρ~1(w)=w2M−1Rn(w2)\widetilde{\rho}_1(w)=w^{2M-1}R_n(w^2). At each of w=1w=1 and w=−1w=-1, choose the local branch for which log⁡(w2)=0\log(w^2)=0 at that point. The map w↦w2w\mapsto w^2 has nonzero derivative there, so (34) gives order at least ωn−1\omega n-1 at each point. These two local branches need not be restrictions of a single global branch; Proposition 2.3 allows the different local solutions.

Counting the orders

Apply Proposition 2.3 with

Σ={0,∞,1,−1,i,−i},m=4M\Sigma=\{0,\infty,1,-1,i,-i\},\qquad m=4M

to (30) and (31). The system is regular singular: its matrix has only simple finite poles and is O(1/w)O(1/w) at infinity. Its solutions therefore have the required Nilsson expansions. The constructed families give the following bounds.

PointIndependent remaindersOrder of each, at least
Each of i,−ii,-ih+1h+1κn\kappa n
00bb2M−12M-1
∞\inftybb−2(M+n)+1-2(M+n)+1
Each of 1,−11,-111ωn−1\omega n-1

Table 1.

There is a common rational differential operator of order μ≤b+h+1\mu\le b+h+1 annihilating all remainders. Differentiating a remainder iterates the operation S↦S′+SAS\mapsto S'+SA on a row of length b+h+1b+h+1; its first b+h+2b+h+2 iterates are rationally dependent. Since the bb remainders at infinity are independent, μ≥b\mu\ge b. The multiplicity estimate gives

(2(h+1)κ−2b+2ω)n−2≤(4rn+1)(μ−b)+C≤(4rn+1)(h+1)+C.\begin{aligned} (2(h+1)\kappa-2b+2\omega)n-2 &\le(4rn+1)(\mu-b)+C\\ &\le(4rn+1)(h+1)+C. \end{aligned}

The constant depends only on the system and Σ\Sigma. The finitely many possibilities 1≤b≤a1\le b\le a allow a uniform constant, even when bb varies with nn. Dividing the last inequality by 2n2n would give

(h+1)(κ−2r)+ω≤b+o(1)≤a+o(1).(h+1)(\kappa-2r)+\omega\le b+o(1)\le a+o(1).

This contradicts (25) for sufficiently large nn and proves Proposition 6.1.

The dimension estimate and the choice of parameters

We can now assemble the argument. Section 4 made the forms integral, Section 5 bounded their coefficients and values, and Section 6 supplied the rank statement. We first apply the criterion with all auxiliary parameters fixed, then choose them as the number of beta values increases.

For each admissible nn, form the integer matrix with rows the coefficients of Λn,p,k\Lambda_{n,p,k} in

1,β(2),…,β(2⌊(a+h)/2⌋).1,\beta(2),\ldots,\beta(2\lfloor(a+h)/2\rfloor).

It satisfies (3). Indeed, a rational vector annihilating all these rows lifts to one for the rows Qk,i[p](−1)Q_{k,i}^{[p]}(-1) by putting zero in every odd coordinate and multiplying coordinate i/2i/2 by −2i+1-2^{i+1}. for even i≥2i \ge2. Its constant coordinate is unchanged. The row multipliers Dd,k−1/(k−1)!D_{d,k-1}/(k-1)! are nonzero, so Proposition 6.1 forces that constant coordinate to be zero.

If log⁡α<0\log\alpha< 0, Proposition 2.1 gives

dim⁡Qspan⁡Q{1,β(2),…,β(2⌊(a+h)/2⌋)}≥1−log⁡αlog⁡B.\dim_{\mathbb{Q}}\operatorname{span}_{\mathbb{Q}}\{1,\beta(2),\ldots,\beta(2\lfloor(a+h)/2\rfloor)\} \ge1-\frac{\log\alpha}{\log B}.

Removing 11 loses at most one dimension. Thus

D(2⌊(a+h)/2⌋)≥−log⁡αlog⁡B.(35)D(2\lfloor(a+h)/2\rfloor) \ge-\frac{\log\alpha}{\log B}. \tag*{(35)}

The scales in the parameter choice can be read from this quotient. Increasing Ω\Omega improves the decay through Ωlog⁡r\Omega\log r, but it also increases log⁡χ\log\chi by a term of order Ω2/a\Omega^2/a. The denominator estimate contributes a term of order log⁡a\log a when hh is proportional to aa. Taking Ω\Omega of order alog⁡a\sqrt{a\log a} therefore keeps log⁡B\log B of order log⁡a\log a while making −log⁡α-\log\alpha of order alog⁡a\sqrt{a\log a}. Their quotient has the desired order a/log⁡a\sqrt{a/\log a}.

For the numerical constants, use the choice of [3 Section 4.6]. Let aa tend to infinity through positive multiples of 25, and set

h=9a25,r=3910,κ=52950,ω=12,Ω=⌊ralog⁡a⌋.(36)h=\frac{9a}{25},\qquad r=\frac{39}{10},\qquad\kappa=\frac{529}{50},\qquad\omega=12,\qquad\Omega=\left\lfloor r\sqrt{a\log a}\right\rfloor. \tag*{(36)}

For sufficiently large aa these satisfy a>Ω≥ω>κ>2ra>\Omega\ge\omega>\kappa>2r and 0≤h≤a0\le h\le a, and

(h+1)(κ−2r)+ω=(9a25+1)13950+12>a.(h+1)(\kappa-2r)+\omega=\left(\frac{9a}{25}+1\right)\frac{139}{50}+12>a.

Take nn through sufficiently large multiples of 50. For each fixed aa, all needed integer conditions and the weak rank statement then hold.

As a→∞a\to\infty, equations (4), (22) and (23) give

log⁡χ∼r2log⁡r2log⁡a,\log\chi\sim\frac{r^2\log r}{2}\log a,
log⁡B∼(r2log⁡r2+κ)log⁡a,\log B\sim\left(\frac{r^2\log r}{2}+\kappa\right)\log a,
log⁡α∼−rlog⁡ralog⁡a.(37)\log\alpha\sim-r\log r\sqrt{a\log a}. \tag*{(37)}

In particular, log⁡α<0\log\alpha<0 for sufficiently large aa. With s=a+h=34a/25s=a+h=34a/25, (35) implies

lim inf⁡s→∞34∣sD(s)s/log⁡s≥c∗:=rlog⁡r(r2log⁡r/2+κ)34/25=0.2174562348…(38)\liminf_{\substack{s\to\infty\\34\mid s}}\frac{D(s)}{\sqrt{s/\log s}}\ge c_*:=\frac{r\log r}{(r^2\log r/2+\kappa)\sqrt{34/25}}=0.2174562348\ldots \tag*{(38)}

The strict inequality c∗>0.21c_*>0.21 requires little numerical precision: 1.36<log⁡(3.9)1.36<\log(3.9) and 1.36<1.167\sqrt{1.36}<1.167 already suffice, since x/(r2x/2+κ)x/(r^2x/2+\kappa) increases with x>0x>0.

Finally D(s)D(s) is nondecreasing, and successive multiples of 34 have bounded gaps. For an arbitrary large even ss, apply (38) to 34⌊s/34⌋34\lfloor s/34\rfloor. The quotient of the corresponding factors s/log⁡s\sqrt{s/\log s} tends to 1. The strict slack between c∗c_* and 0.21 proves Theorem 1.1.

Remark 7.1. The limiting assertion (38) extends to all even ss in the same way. We retain the simpler constant 0.21 in the theorem. No explicit threshold for sufficiently large is asserted; in particular, the multiplicity constant has not been tracked.

Acknowledgements and preparation

The proof uses Fischler’s rational-function construction, refined linear-independence criterion and multiplicity method. The numerical parameters and the organization of the rank argument are taken from his proof, with the adaptations identified in the text. Mistiaen’s explanation of the conductor restriction suggested the evaluation-point question addressed here.

This research note was prepared with OpenAI Codex. The accompanying exact calculations check finite instances of the identities and denominator bounds; they are not formal verification. The paper has been independently cross-checked by another model.

References

  1. [1]S. Fischler, Shidlovsky's multiplicity estimate and irrationality of zeta values, J. Aust. Math. Soc. 105 (2018), no. 2, 145–172. doi:10.1017/S1446788717000386.DOI
  2. [2]S. Fischler, Irrationality of values of L-functions of Dirichlet characters, J. Lond. Math. Soc. 101 (2020), no. 2, 857–876. doi:10.1112/jlms.12290. Theorem numbering follows the author version of 10 October 2019.DOI
  3. [3]S. Fischler, Linear independence of odd zeta values using Siegel’s lemma, J. Lond. Math. Soc. 113 (2026), no. 4, e70535. doi:10.1112/jlms.70535. Statements and section numbers follow the author version of 26 March 2026.DOI
  4. [4]V. Kumar and R. Tosi, Irrationality of values of L-functions for real Dirichlet characters, preprint, 30 October 2026. arXiv:2610.41458v1.arxiv.org/abs/2610.41458
  5. [5]L. Mistiaen, Indépendance linéaire de valeurs de fonctions L de Dirichlet, preprint, 2 December 2025. arXiv:2512.02612v1.
  6. [6]L. Mistiaen, Linear independence of values of polylogarithms with periodic coefficients, outside the disk of convergence, preprint, 7 October 2026. arXiv:2610.09774v1.arxiv.org/abs/2610.09774
  7. [7]T. Rivoal and W. Zudilin, Diophantine properties of numbers related to Catalan’s constant, Math. Ann. 326 (2003), 705–721. doi:10.1007/s00208-003-0420-2.DOI

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