Introduction
It has long been known that the Bose gas condenses below a critical temperature [10 , 15 ] as was verified experimentally by [1 , 14 ] in extremely low density samples of rubidium and sodium. Despite phenomenological theories that were developed by Bogolyubov, Gross, Pitaevskii, Landau and others [19 , 29 , 8 , 22 ] in the low-density regime, a proof of Bose-Einstein condensation from first principles in interacting Bose gases is lacking (very recently, in a release of machine-generated manuscripts [28 ] , a proof of Bose–Einstein condensation for the dilute hard-sphere Bose gas in the thermodynamic limit has been announced; this result is still under review, and is yet to be published in a scientific journal). Proving many other properties of interacting Bose gases including super-fluidity remains an open problem.
Over the past three decades, starting with Lieb and Yngvason’s study of its ground state energy [26 , 27 ] , mathematical physicists have worked towards filling these gaps. There have been many successes both in the Gross-Pitaevskii regime [25 , 7 ] and the mean-field regime [31 ] , and in the thermodynamic limit [32 , 16 , 17 , 6 , 5 ] . Lately there has been renewed interest in studying the hard-core Bose gas [26 , 17 , 5 , 6 ] . This is for two reasons. Firstly, it is a mathematical challenge due to the infinite gradient of the potential and secondly realistic potentials for bosonic atoms such as the Aziz potential [2 ] or the HFDHE2 potential [9 ] include a strongly repulsive singularity at the origin which is well approximated by a hard-core.
Most of the results that have been obtained in the thermodynamic limit concern the ground-state energy [32 , 16 , 17 , 5 , 6 ] and free energy [4 , 18 , 30 , 33 , 20 ] . However a description of other observables of Bose gases, such as the condensate fraction, still remains lacking [27 ] .
In 1963, Lieb introduced an effective equation for the ground state properties of the interacting Bose gas in the thermodynamic limit, known as the Simplified Approach [24 ] . In a recent sequence of papers [11 , 12 , 13 , 21 ] , the Simplified Approach has been shown to be surprisingly accurate. In particular, its prediction for the ground-state energy asymptotically matches that for the Bose gas both at low and high densities [11 ] . In addition, its predictions for the condensate fraction, the momentum distribution and the 2-point correlation function agree with Bogolyubov’s theory at low densities [12 ] . Furthermore, numerical studies showed the ground-state energy prediction of the Simplified Approach is quantitatively accurate when compared with Monte-Carlo simulations at all densities as well as the qualitative behavior of the condensate fraction [13 ] .
The existing results of the Simplified Approach have been established for integrable soft-core potentials. In this note, we develop a theory for the Simplified Approach with a hard-core potential. We prove that the ground-state energy with a hard-core potential agrees asymptotically with the many-body Bose gas at low densities (up to Lee-Huang-Yang [LHY] order; see (3) ). In addition, we show that the condensate fraction is in agreement with Bogolyubov’s theory.
The derivation of the Simplified Approach from the many-body Bose gas is non-rigorous and relies on a truncation of a hierarchy of correlation functions in terms of the 2-point correlation function g ( x ) g(x) g ( x ) [24 , 21 ] . This approximation leads to a collection of equations of varying difficulties of complexity and accuracy. On one side of the spectrum the Complete Equation was numerically verified to be accurate as mentioned previously but is exceedingly difficult to study analytically [13 ] . On the other end of the spectrum is the Simple Equation which is only accurate at high and low densities, but is simple enough to be studied analytically. In this note, we will prove properties of the Simple Equation with a hard-core potential at low densities (since there is a critical packing fraction the high-density regime is inaccessible). For a numerical analysis of the solutions see [13 ] .
Definition 1 (Simple Equation). The Simple Equation of the ground-state Bose gas in R 3 \mathbb{R}^{3} R 3 with a non-negative radially-symmetric potential, v ( x ) ∈ L 1 ( R 3 ) ∩ L p ( R 3 ) v(x) \in L^{1}(\mathbb{R}^{3}) \cap L^{p}(\mathbb{R}^{3}) v ( x ) ∈ L 1 ( R 3 ) ∩ L p ( R 3 ) with p > 3 2 p > \frac{3}{2} p > 2 3
is
( − Δ + 4 e + v ( ∣ x ∣ ) ) u ( ∣ x ∣ ) = v ( ∣ x ∣ ) + 2 e ρ u ∗ u ( ∣ x ∣ ) (1) \left(-\Delta+ 4e + v(|x|)\right)u(|x|) = v(|x|) + 2e\rho\, u * u(|x|) \tag*{(1)} ( − Δ + 4 e + v ( ∣ x ∣ ) ) u ( ∣ x ∣ ) = v ( ∣ x ∣ ) + 2 e ρ u ∗ u ( ∣ x ∣ ) (1)
e = ρ 2 ∫ ( 1 − u ( ∣ x ∣ ) ) v ( ∣ x ∣ ) d x (2) e = \frac{\rho}{2}\int(1-u(|x|))v(|x|)\,dx \tag*{(2)} e = 2 ρ ∫ ( 1 − u ( ∣ x ∣ )) v ( ∣ x ∣ ) d x (2)
where u u u is an integrable and radially-symmetric function. e e e is the prediction for the ground state energy per particle.
[11 ] proved the existence of a solution satisfying 0 ≤ u ≤ 1 0 \le u \le1 0 ≤ u ≤ 1 and tied the relationship between the density and energy (given via the second equation in (1)) to the integrability and uniqueness of the solution.
In addition, the energy-per-particle, e e e , of the solution was also found to agree with the seminal Lee-Huang-Yang conjecture at low density in 3 dimensions:
e = 2 π ρ a [ 1 + 128 15 π ρ a 3 + o ( ρ a 3 ) ] (3) e = 2\pi\rho a\left[1+\frac{128}{15\sqrt{\pi}}\sqrt{\rho a^3}+o(\sqrt{\rho a^3})\right] \tag*{(3)} e = 2 π ρ a [ 1 + 15 π 128 ρ a 3 + o ( ρ a 3 ) ] (3)
where a a a is the scattering length of the corresponding 2-body problem with potential v v v . The LHY formula was recently proved for the soft-core many-body Bose gases by [32 , 16 , 3 ] .
To introduce the hard-core Simple Equation, we note that (1) is equivalent to
( − Δ + 4 e + v ( ∣ x ∣ ) ) u ( ∣ x ∣ ) = v ( ∣ x ∣ ) + 2 e ρ u ∗ u ( ∣ x ∣ ) , (4) \left(-\Delta+ 4e + v(|x|)\right)u(|x|) = v(|x|) + 2e\rho\,u * u(|x|), \tag*{(4)} ( − Δ + 4 e + v ( ∣ x ∣ ) ) u ( ∣ x ∣ ) = v ( ∣ x ∣ ) + 2 e ρ u ∗ u ( ∣ x ∣ ) , (4)
∫ u = 1 ρ (5) \int u = \frac{1}{\rho} \tag*{(5)} ∫ u = ρ 1 (5)
Indeed, when the potential is integrable, integration of the first equation of (1) yields
2 e ρ ( ∫ u ) 2 − 4 e ∫ u + ∫ [ 1 − u ] v = 0 (6) 2e\rho\left(\int u\right)^2 - 4e\int u + \int[1-u]v = 0 \tag*{(6)} 2 e ρ ( ∫ u ) 2 − 4 e ∫ u + ∫ [ 1 − u ] v = 0 (6)
which implies that
e = ρ 2 ∫ ( 1 − u ) v ⟺ ∫ u = 1 ρ . (7) e = \frac{\rho}{2}\int(1-u)v \Longleftrightarrow\int u = \frac{1}{\rho}. \tag*{(7)} e = 2 ρ ∫ ( 1 − u ) v ⟺ ∫ u = ρ 1 . (7)
This re-formulation naturally suggests the generalization of the definition of the Simple Equation to the hard-core potential: since the wave-function vanishes inside the hard core we impose 1 − τ ( x ) = 0 1-\tau(x)=0 1 − τ ( x ) = 0 for ∣ x ∣ ≤ 1 |x|\le1 ∣ x ∣ ≤ 1 :
Definition 2 (Hard-Core Simple Equation).
Δ τ ( ∣ x ∣ ) = 4 e τ ( ∣ x ∣ ) − 2 e ρ h c τ ∗ τ ( ∣ x ∣ ) , ∣ x ∣ > 1 , (8) \Delta\tau(|x|) = 4e\tau(|x|) - 2e\rho_{\mathrm{hc}}\tau* \tau(|x|), \qquad|x|>1, \tag*{(8)} Δ τ ( ∣ x ∣ ) = 4 e τ ( ∣ x ∣ ) − 2 e ρ hc τ ∗ τ ( ∣ x ∣ ) , ∣ x ∣ > 1 , (8) τ ( ∣ x ∣ ) = 1 , ∣ x ∣ ≤ 1 , (9) \tau(|x|) = 1, \qquad|x|\le1, \tag*{(9)} τ ( ∣ x ∣ ) = 1 , ∣ x ∣ ≤ 1 , (9) ∫ τ = 1 ρ h c . (10) \int\tau= \frac{1}{\rho_{\mathrm{hc}}}. \tag*{(10)} ∫ τ = ρ hc 1 . (10)
We can recover a formula for the ground state energy from (10) by integrating (8) over { ∣ x ∣ > 1 } \{|x|>1\} { ∣ x ∣ > 1 } :
e = 8 π 3 e ρ h c − 2 π ρ h c ∂ r τ ∣ 1 + − e ρ h c 2 ∫ B 1 ( 0 ) τ ∗ τ , (11) e = \frac{8\pi}{3}e\rho_{\mathrm{hc}} - 2\pi\rho_{\mathrm{hc}}\partial_r\tau\big|_{1+} - e\rho_{\mathrm{hc}}^2\int_{B_1(0)}\tau* \tau, \tag*{(11)} e = 3 8 π e ρ hc − 2 π ρ hc ∂ r τ 1 + − e ρ hc 2 ∫ B 1 ( 0 ) τ ∗ τ , (11)
where B 1 ( 0 ) B_1(0) B 1 ( 0 ) is the unit ball centered at the origin, 4 π 3 = ∣ B 1 ( 0 ) ∣ \frac{4\pi}{3}=|B_1(0)| 3 4 π = ∣ B 1 ( 0 ) ∣ is its volume, and 4 π 4\pi 4 π is the area of the unit sphere. From (11) , we get
e = − 2 π ρ h c ∂ r τ ∣ 1 + 1 − 8 π 3 ρ h c + ρ h c 2 ∫ B 1 ( 0 ) τ ∗ τ (12) e=\frac{-2\pi\rho_{\mathrm{hc}}\partial_r\tau\big|_{1+}}{1-\frac{8\pi}{3}\rho_{\mathrm{hc}}+\rho_{\mathrm{hc}}^2\int_{B_1(0)}\tau*\tau} \tag*{(12)} e = 1 − 3 8 π ρ hc + ρ hc 2 ∫ B 1 ( 0 ) τ ∗ τ − 2 π ρ hc ∂ r τ 1 + (12)
Our first main result is the following.
Theorem 1 (LHY Formula). The hard-core Simple Equation (8) has a unique integrable solution 0 ≤ τ ≤ 1 0\leq\tau\leq1 0 ≤ τ ≤ 1 and, as ρ h c → 0 \rho_{\mathrm{hc}}\to0 ρ hc → 0
e = 2 π ρ h c a 0 ( 1 + 128 15 π ρ h c a 0 3 + o ( ρ h c a 0 3 ) ) (13) e=2\pi\rho_{\mathrm{hc}}a_0\left(1+\frac{128}{15\sqrt{\pi}}\sqrt{\rho_{\mathrm{hc}}a_0^3}+o\left(\sqrt{\rho_{\mathrm{hc}}a_0^3}\right)\right) \tag*{(13)} e = 2 π ρ hc a 0 ( 1 + 15 π 128 ρ hc a 0 3 + o ( ρ hc a 0 3 ) ) (13) where a 0 = 1 a_0=1 a 0 = 1 is the scattering length of the hard-sphere potential.
In other words we recover the LHY formula (3) for the hard-core Simple Equation. The LHY formula was proved for the hard-core many-body Bose gas by [17 , 5 , 6 ] and thus we show that the energy of the hard-core Simple Equation is asymptotically accurate in the low density limit.
Condensate Fraction
The Simplified Approach also makes predictions about quantities other than the ground state energy [12 , 21 ] ; here we focus on the condensate fraction. Denote by P j P_j P j the projector of the j j j -th particle onto the condensate state, which is the constant state:
P j ψ ( x 1 , … , x N ) = ∫ d x j V ψ ( x 1 , … , x N ) , (14) P_j\psi(x_1,\ldots,x_N)=\int\frac{dx_j}{V}\psi(x_1,\ldots,x_N), \tag*{(14)} P j ψ ( x 1 , … , x N ) = ∫ V d x j ψ ( x 1 , … , x N ) , (14)
so that 1 N ∑ j = 1 N P j \frac{1}{N}\sum_{j=1}^{N}P_j N 1 ∑ j = 1 N P j is the observable for the occupation fraction of the Bose-Einstein condensate. Its prediction is obtained using the Hellmann-Feynman trick: we modify the many-body Hamiltonian as
H N , μ : = − 1 2 ∑ i = 1 N Δ i + ∑ i < j v ( ∣ x i − x j ∣ ) − μ N ∑ j = 1 N P j (15) \mathcal{H}_{N,\mu}:=-\frac{1}{2}\sum_{i=1}^{N}\Delta_i+\sum_{i<j}v(|x_i-x_j|)-\frac{\mu}{N}\sum_{j=1}^{N}P_j \tag*{(15)} H N , μ := − 2 1 i = 1 ∑ N Δ i + i < j ∑ v ( ∣ x i − x j ∣ ) − N μ j = 1 ∑ N P j (15)
and, denoting its ground state by ψ 0 , μ \psi_{0,\mu} ψ 0 , μ and its ground state energy by E 0 , μ \mathcal{E}_{0,\mu} E 0 , μ , we have
⟨ ψ 0 , μ , 1 N ∑ j = 1 N P j ψ 0 , μ ⟩ = − ∂ μ E 0 , μ ∣ μ = 0 . (16) \left\langle\psi_{0,\mu},\frac{1}{N}\sum_{j=1}^{N}P_j\psi_{0,\mu}\right\rangle=-\left.\partial_\mu\mathcal{E}_{0,\mu}\right|_{\mu=0}. \tag*{(16)} ⟨ ψ 0 , μ , N 1 j = 1 ∑ N P j ψ 0 , μ ⟩ = − ∂ μ E 0 , μ ∣ μ = 0 . (16)
The prediction of the Simplified Approach for the condensate fraction is obtained by deriving the Simplified Approach from the modified Hamiltonian (15) (following the same prescription as described above), computing the prediction for its ground state energy e μ e_\mu e μ , and differentiating with respect to μ \mu μ . Since P j P_j P j is a one-particle operator, this can be done in a straightforward way [12 (1.15)] : the perturbation enters the Simple Equation only through the constant shift − Δ ↦ − Δ + 2 μ -\Delta\mapsto-\Delta+2\mu − Δ ↦ − Δ + 2 μ , which yields the modified Simple Equation
( − Δ + 2 μ + 4 e μ + v ( ∣ x ∣ ) ) u μ ( ∣ x ∣ ) = v ( ∣ x ∣ ) + 2 e μ ρ u μ ∗ u μ ( ∣ x ∣ ) , (17) (-\Delta+2\mu+4e_\mu+v(|x|))u_\mu(|x|)=v(|x|)+2e_\mu\rho u_\mu*u_\mu(|x|), \tag*{(17)} ( − Δ + 2 μ + 4 e μ + v ( ∣ x ∣ )) u μ ( ∣ x ∣ ) = v ( ∣ x ∣ ) + 2 e μ ρ u μ ∗ u μ ( ∣ x ∣ ) , (17)
e μ = ρ 2 ∫ ( 1 − u μ ( ∣ x ∣ ) ) v ( ∣ x ∣ ) d x (18) e_\mu=\frac{\rho}{2}\int(1-u_\mu(|x|))v(|x|)\,dx \tag*{(18)} e μ = 2 ρ ∫ ( 1 − u μ ( ∣ x ∣ )) v ( ∣ x ∣ ) d x (18)
The modified hard-core Simple Equation is obtained analogously:
Δ τ μ ( ∣ x ∣ ) = ( 4 e μ + 2 μ ) τ μ ( ∣ x ∣ ) − 2 e μ ρ h c τ μ ∗ τ μ ( ∣ x ∣ ) ∣ x ∣ > 1 (19) \Delta\tau_\mu(|x|) = (4e_\mu+ 2\mu)\tau_\mu(|x|) - 2e_\mu\rho_{\mathrm{hc}} \tau_\mu* \tau_\mu(|x|) \qquad|x| > 1 \tag*{(19)} Δ τ μ ( ∣ x ∣ ) = ( 4 e μ + 2 μ ) τ μ ( ∣ x ∣ ) − 2 e μ ρ hc τ μ ∗ τ μ ( ∣ x ∣ ) ∣ x ∣ > 1 (19)
τ μ ( ∣ x ∣ ) = 1 ∣ x ∣ ≤ 1 (20) \tau_\mu(|x|) = 1 \qquad|x| \le1 \tag*{(20)} τ μ ( ∣ x ∣ ) = 1 ∣ x ∣ ≤ 1 (20)
∫ τ μ = 1 ρ h c (21) \int\tau_\mu= \frac{1}{\rho_{\mathrm{hc}}} \tag*{(21)} ∫ τ μ = ρ hc 1 (21)
This yields a prediction for the condensate fraction:
η : = − ∂ μ e μ = 1 + ρ 2 ∫ v ( x ) ∂ μ u μ ( x ) ∣ μ = 0 d x , (22) \eta:= -\partial_\mu e_\mu= 1 + \frac{\rho}{2}\int v(x)\partial_\mu u_\mu(x)\big|_{\mu=0}\,dx, \tag*{(22)} η := − ∂ μ e μ = 1 + 2 ρ ∫ v ( x ) ∂ μ u μ ( x ) μ = 0 d x , (22)
which [12 ] proved to scale as
η = 1 − 8 ρ a 0 3 3 π + o ( ρ ) , (23) \eta= 1 - \frac{8\sqrt{\rho a_0^3}}{3\sqrt{\pi}} + o(\sqrt{\rho}), \tag*{(23)} η = 1 − 3 π 8 ρ a 0 3 + o ( ρ ) , (23)
coinciding with Lee, Huang and Yang’s predictions [23 ] . Our next main result shows that the hard-core equation also possesses the same condensate fraction.
Theorem 2 (Condensate Fraction). The hard-core Simple Equation (8) , in the dilute limit ρ h c → 0 \rho_{\mathrm{hc}} \to0 ρ hc → 0 , satisfies
η = 1 − 8 ρ h c a 0 3 3 π + o ( ρ h c ) , (24) \eta= 1 - \frac{8\sqrt{\rho_{\mathrm{hc}}a_0^3}}{3\sqrt{\pi}} + o(\sqrt{\rho_{\mathrm{hc}}}), \tag*{(24)} η = 1 − 3 π 8 ρ hc a 0 3 + o ( ρ hc ) , (24) where a 0 = 1 a_0 = 1 a 0 = 1 is the scattering length.
Proof strategy: limit of strong soft cores
The main tool in the proofs is to compute the energy and the condensate fraction of the hard-core Simple Equation (8) as limits of the energy and the condensate fraction for a soft-core Simple Equation. We will use the soft-core potential
v m ( ∣ x ∣ ) : = m 1 B 1 ( 0 ) ( x ) : = { m if x ∈ B 1 ( 0 ) : = { x : ∣ x ∣ ≤ 1 } 0 otherwise . (25) v_m(|x|) := m\mathbb{1}_{B_1(0)}(x) :=
\begin{cases}
m & \text{if } x \in B_1(0) := \{x : |x| \le1\} \\
0 & \text{otherwise}.
\end{cases} \tag*{(25)} v m ( ∣ x ∣ ) := m 1 B 1 ( 0 ) ( x ) := { m 0 if x ∈ B 1 ( 0 ) := { x : ∣ x ∣ ≤ 1 } otherwise . (25)
The soft-core Simple Equation with potential v m v_m v m is then (see (1) –(2) )
( − Δ + 4 e + v m ( ∣ x ∣ ) ) u ( ∣ x ∣ ) = v m ( ∣ x ∣ ) + 2 e ρ ˉ m u ∗ u ( ∣ x ∣ ) , e = ρ ˉ m 2 ∫ ( 1 − u ( ∣ x ∣ ) ) v m ( ∣ x ∣ ) d x . (26) (-\Delta+ 4e + v_m(|x|))u(|x|) = v_m(|x|) + 2e\bar{\rho}_m u * u(|x|), \qquad e = \frac{\bar{\rho}_m}{2}\int(1-u(|x|))v_m(|x|)\,dx. \tag*{(26)} ( − Δ + 4 e + v m ( ∣ x ∣ )) u ( ∣ x ∣ ) = v m ( ∣ x ∣ ) + 2 e ρ ˉ m u ∗ u ( ∣ x ∣ ) , e = 2 ρ ˉ m ∫ ( 1 − u ( ∣ x ∣ )) v m ( ∣ x ∣ ) d x . (26)
We will prove that the energy and the condensate fraction for the hard-core equation are the limit m → ∞ m \to\infty m → ∞ of the soft-core ones. We stress that the hard-core Simple Equation (8) was introduced above on its own terms, not as a limit of soft-core equations: the two are independently defined objects, each with its own existence and uniqueness theory (see Lemmas 7 and 8 below for the hard-core case).
However, for technical reasons, we will have to change the point of view slightly: instead of the setting described above in which ρ h c \rho_{\mathrm{hc}} ρ hc is fixed and e e e is computed from (8) –(10) , we will fix e e e and compute ρ h c \rho_{\mathrm{hc}} ρ hc from (8) –(10) . This change of point of view was also needed in [11 ] . The two points of view are conjectured to be equivalent [11 ] , but proving this is the case boils down to proving that e ↦ ρ h c ( e ) e \mapsto\rho_{\mathrm{hc}}(e) e ↦ ρ hc ( e ) is invertible, which remains an open problem (for a fixed integrable potential, strict monotonicity is known for small and for large e e e [12 Theorem 1.3] , but the small-e e e threshold degenerates as m → ∞ m \to\infty m → ∞ ). Instead, we will work at fixed e e e and use only the following form of invertibility at small e e e , which we prove in § 7 : for e ≤ e 0 e \le e_0 e ≤ e 0 the density and the energy are comparable, c e ≤ ρ h c ( e ) ce \le\rho_{\mathrm{hc}}(e) ce ≤ ρ hc ( e ) and ∣ e − 2 π ρ h c ( e ) ∣ ≤ C e 3 / 2 |e - 2\pi\rho_{\mathrm{hc}}(e)| \le Ce^{3/2} ∣ e − 2 π ρ hc ( e ) ∣ ≤ C e 3/2 , so that along the branch e ↦ ρ h c ( e ) e \mapsto\rho_{\mathrm{hc}}(e) e ↦ ρ hc ( e ) the regimes e → 0 e \to0 e → 0 and ρ h c → 0 \rho_{\mathrm{hc}} \to0 ρ hc → 0 coincide and e = 2 π ρ h c ( 1 + o ( 1 ) ) e = 2\pi\rho_{\mathrm{hc}}(1 + o(1)) e = 2 π ρ hc ( 1 + o ( 1 )) . This is what allows us, at the end of the computation, to rewrite asymptotic expansions in the small parameter e e e as expansions in the small parameter ρ h c \rho_{\mathrm{hc}} ρ hc , which is how Theorems 1 and 2 are stated; no inversion of e ↦ ρ h c ( e ) e \mapsto\rho_{\mathrm{hc}}(e) e ↦ ρ hc ( e ) is needed.
Theorem 3 (Condensate Fraction Expectation). Consider e > 0 e > 0 e > 0 .
(i) (Energy.) As m → ∞ m \to\infty m → ∞ , the densities of the soft-core converge to that of the hard-core as
ρ ‾ m ⟶ ρ h c , ∣ ρ ‾ m − ρ h c ∣ = O ( m − 1 / 2 ) . (27) \overline{\rho}_m \longrightarrow\rho_{\mathrm{hc}}, \qquad\left|\overline{\rho}_m - \rho_{\mathrm{hc}}\right| = O\left(m^{-1/2}\right). \tag*{(27)} ρ m ⟶ ρ hc , ∣ ρ m − ρ hc ∣ = O ( m − 1/2 ) . (27) Moreover, each soft-core equation satisfies the low-density expansion (3) , with a 0 a_0 a 0 replaced by the scattering length a m a_m a m of v m v_m v m , and the error term is uniform in m m m .
(ii) (Condensate fraction.) Let e μ , m e_{\mu,m} e μ , m and e μ , h c e_{\mu,\mathrm{hc}} e μ , hc denote the energies of the modified equations (18) , with v = v m v = v_m v = v m and ρ = ρ ‾ m \rho= \overline{\rho}_m ρ = ρ m , and (19) . Then
lim m → ∞ ∂ μ e μ , m ∣ μ = 0 = ∂ μ e μ , h c ∣ μ = 0 , (28) \lim_{m\to\infty} \left.\partial_\mu e_{\mu,m}\right|_{\mu=0} = \left.\partial_\mu e_{\mu,\mathrm{hc}}\right|_{\mu=0}, \tag*{(28)} m → ∞ lim ∂ μ e μ , m ∣ μ = 0 = ∂ μ e μ , hc ∣ μ = 0 , (28) that is, the soft-core condensate fractions converge to the hard-core condensate fraction. Moreover, each soft-core equation satisfies the condensate-fraction expansion (24) , with a 0 a_0 a 0 replaced by a m a_m a m , and the error term can be taken uniform in m m m .
Theorem 3 implies Theorems 1 and 2. For each fixed m m m , the low-density expansion of [11 ] applied to v m v_m v m reads
ρ ‾ m = e 2 π a m ( 1 − 64 2 a m 15 π e + o ( e ) ) , (29) \overline{\rho}_m = \frac{e}{2\pi a_m}\left(1 - \frac{64\sqrt{2}a_m}{15\pi}\sqrt{e} + o(\sqrt{e})\right), \tag*{(29)} ρ m = 2 π a m e ( 1 − 15 π 64 2 a m e + o ( e ) ) , (29)
where a m = 1 − tanh ( m ) m a_m = 1 - \frac{\tanh(\sqrt{m})}{\sqrt{m}} a m = 1 − m t a n h ( m ) is the scattering length of v m v_m v m . The central point is Theorem 3 itself, proved in Theorems 18 and 26, and in particular the fact that the o ( e ) o(\sqrt{e}) o ( e ) term may be taken uniform in m m m : it is bounded by λ ( e ) e \lambda(e)\sqrt{e} λ ( e ) e for some λ ( e ) → 0 \lambda(e) \to0 λ ( e ) → 0 independent of m m m , and such a bound survives the limit m → ∞ m \to\infty m → ∞ . Hence, by (27) and a m → 1 a_m \to1 a m → 1 ,
ρ h c = e 2 π ( 1 − 64 2 15 π e + o ( e ) ) , e → 0 , \rho_{\mathrm{hc}} = \frac{e}{2\pi}\left(1 - \frac{64\sqrt{2}}{15\pi}\sqrt{e} + o(\sqrt{e})\right), \qquad e \to0, ρ hc = 2 π e ( 1 − 15 π 64 2 e + o ( e ) ) , e → 0 ,
which inverts, via e = 2 π ρ h c ( 1 + o ( 1 ) ) \sqrt{e} = \sqrt{2\pi\rho_{\mathrm{hc}}}(1 + o(1)) e = 2 π ρ hc ( 1 + o ( 1 )) , to (13) . Likewise the expansion of η m \eta_m η m established in § 8 is uniform in m m m , so letting m → ∞ m \to\infty m → ∞ and using (28) yields Theorem 2 (again via e = 2 π ρ h c ( 1 + o ( 1 ) ) e = 2\pi\rho_{\mathrm{hc}}(1 + o(1)) e = 2 π ρ hc ( 1 + o ( 1 )) ). This uniformity is the substantive point: the errors in the fixed-m m m expansions depend a priori on the potential (e.g. through ∫ v m \int v_m ∫ v m , which diverges as m → ∞ m \to\infty m → ∞ ), and convergence at fixed e e e alone does not rule out an error deteriorating as m → ∞ m \to\infty m → ∞ . Uniformity is obtained by arranging that v m v_m v m enters the estimates only through the weight ( 1 − ϕ m ) v m (1 - \phi_m)v_m ( 1 − ϕ m ) v m — where ϕ m \phi_m ϕ m is the scattering solution of v m v_m v m , defined in § 7 — whose total mass is 4 π a m ≤ 4 π 4\pi a_m \le4\pi 4 π a m ≤ 4 π , and through the bound ∣ S m ∣ ≤ 1 |S_m| \le1 ∣ S m ∣ ≤ 1 on the structure factor (68) . Finally, the rate in (27) extends uniformly in μ \mu μ (Lemma 23) and is the key quantitative input to the limit exchange (28) , carried out for the condensate fraction in Theorem 26. The convergence (27) itself is obtained from the L 1 L^1 L 1 convergence ∫ ∣ σ m − τ ∣ → 0 \int|\sigma_m - \tau| \to0 ∫ ∣ σ m − τ ∣ → 0 via ∣ ρ ‾ m − ρ h c ∣ = ρ h c ρ ‾ m ∣ ∫ ( σ m − τ ) ∣ |\overline{\rho}_m - \rho_{\mathrm{hc}}| = \rho_{\mathrm{hc}}\overline{\rho}_m\left|\int(\sigma_m - \tau)\right| ∣ ρ m − ρ hc ∣ = ρ hc ρ m ∫ ( σ m − τ ) .
We will now discuss the strategy to prove Theorem 3 . The Simple Equation, hard-core or not, is extremely difficult to tackle directly due to the convolutional non-linearity. For a given potential, v ( x ) v(x) v ( x ) , the strategy that was leveraged previously [11 , 12 ] was to use the following iteration scheme (we will introduce other iteration schemes, and to differentiate them, we will use different letters for the iterates; the soft-core iterates from [11 , 12 ] will be denoted by u n u_n u n )
( − Δ + 4 e + v ( ∣ x ∣ ) ) u n ( ∣ x ∣ ) = v ( ∣ x ∣ ) + 2 e ρ n − 1 u n − 1 ∗ u n − 1 ( ∣ x ∣ ) (30) (-\Delta+4e+v(|x|))u_n(|x|)=v(|x|)+2e\rho_{n-1}u_{n-1}*u_{n-1}(|x|) \tag*{(30)} ( − Δ + 4 e + v ( ∣ x ∣ )) u n ( ∣ x ∣ ) = v ( ∣ x ∣ ) + 2 e ρ n − 1 u n − 1 ∗ u n − 1 ( ∣ x ∣ ) (30)
ρ n = 2 e ∫ ( 1 − u n ) v (31) \rho_n=\frac{2e}{\int(1-u_n)v} \tag*{(31)} ρ n = ∫ ( 1 − u n ) v 2 e (31)
with u 0 = 0 u_0=0 u 0 = 0 . u n u_n u n converges to the solution u u u of the Simple Equation in Eq. (1) for potential v v v , see [11 Theorem 1.3] . This iteration, for the soft-core potential v m ≡ m 1 B 1 ( 0 ) v_m\equiv m\mathbf{1}_{B_1(0)} v m ≡ m 1 B 1 ( 0 ) is:
( − Δ + 4 e + v m ) σ m , n = v m + 2 e ρ ˉ m , n − 1 σ m , n − 1 ∗ σ m , n − 1 , ρ ˉ m , n = 2 e m ∫ B 1 ( 0 ) ( 1 − σ m , n ) . (32) (-\Delta+4e+v_m)\sigma_{m,n}=v_m+2e\bar{\rho}_{m,n-1}\sigma_{m,n-1}*\sigma_{m,n-1},\qquad\bar{\rho}_{m,n}=\frac{2e}{m\int_{B_1(0)}(1-\sigma_{m,n})}. \tag*{(32)} ( − Δ + 4 e + v m ) σ m , n = v m + 2 e ρ ˉ m , n − 1 σ m , n − 1 ∗ σ m , n − 1 , ρ ˉ m , n = m ∫ B 1 ( 0 ) ( 1 − σ m , n ) 2 e . (32)
with σ m , 0 = 0 \sigma_{m,0}=0 σ m , 0 = 0 . By [11 Theorem 1.3] , lim n → ∞ σ m , n ≡ σ m \lim_{n\to\infty}\sigma_{m,n}\equiv\sigma_m lim n → ∞ σ m , n ≡ σ m is the solution to Eq. (26) ; the properties of these iterates that we use are collected in Lemma 13.
We will use the following iteration for the hard-core equation which follows from (8) and (12) :
Δ τ n = 4 e τ n − 2 e ρ n − 1 τ n − 1 ∗ τ n − 1 , ∣ x ∣ > 1 , (33) \Delta\tau_n=4e\tau_n-2e\rho_{n-1}\tau_{n-1}*\tau_{n-1},\qquad|x|>1, \tag*{(33)} Δ τ n = 4 e τ n − 2 e ρ n − 1 τ n − 1 ∗ τ n − 1 , ∣ x ∣ > 1 , (33)
τ n = 1 , ∣ x ∣ ≤ 1 , (34) \tau_n=1,\qquad|x|\le1, \tag*{(34)} τ n = 1 , ∣ x ∣ ≤ 1 , (34)
with
ρ n = 2 e 2 e [ 8 π 3 − ρ n − 1 ∫ B 1 ( 0 ) τ n − 1 ∗ τ n − 1 ] − 4 π ∂ r τ n ∣ 1 + . (35) \rho_n=\frac{2e}{2e\left[\frac{8\pi}{3}-\rho_{n-1}\int_{B_1(0)}\tau_{n-1}*\tau_{n-1}\right]-4\pi\partial_r\tau_n\big|_{1+}}. \tag*{(35)} ρ n = 2 e [ 3 8 π − ρ n − 1 ∫ B 1 ( 0 ) τ n − 1 ∗ τ n − 1 ] − 4 π ∂ r τ n 1 + 2 e . (35)
We initialize the iteration with Δ τ 1 = 4 e τ 1 \Delta\tau_1=4e\tau_1 Δ τ 1 = 4 e τ 1 on ∣ x ∣ > 1 |x|>1 ∣ x ∣ > 1 , τ 1 = 1 \tau_1=1 τ 1 = 1 on B 1 ( 0 ) B_1(0) B 1 ( 0 ) , that is,
τ 1 ( r ) = { 1 r ≤ 1 e − 2 e ( r − 1 ) / r r > 1 , ρ 1 = 1 2 ∫ τ 1 = 2 e 4 π ( 1 + 2 e ) + 16 π 3 e . (36) \tau_1(r)=
\begin{cases}
1 & r\le1\\
e^{-2\sqrt{e}(r-1)/r} & r>1
\end{cases},
\qquad
\rho_1=\frac{1}{2\int\tau_1}=\frac{2e}{4\pi(1+2\sqrt{e})+\frac{16\pi}{3}e}. \tag*{(36)} τ 1 ( r ) = { 1 e − 2 e ( r − 1 ) / r r ≤ 1 r > 1 , ρ 1 = 2 ∫ τ 1 1 = 4 π ( 1 + 2 e ) + 3 16 π e 2 e . (36)
To show that τ n \tau_n τ n converges to the solution of (8), we will prove that τ n \tau_n τ n and ρ n \rho_n ρ n are increasing in n n n and use the monotone convergence theorem, see Lemmas 6 and 7 ; uniqueness of the limit is Lemma 8. The monotonicity and comparison arguments throughout rest on the maximum principle in the form of Lemma 4 and Corollary 5.
The main idea is then to compare τ n \tau_n τ n and σ m , n \sigma_{m,n} σ m , n (for each fixed n n n , Lemma 14 shows that σ m , n → τ n \sigma_{m,n} \to\tau_n σ m , n → τ n as m → ∞ m \to\infty m → ∞ ). However, we cannot easily do this directly, as we will show that, keeping e e e fixed, as one increases m m m , ρ ˉ m \bar{\rho}_m ρ ˉ m decreases (Lemma 15). Simultaneously an increase in the potential in B 1 ( 0 ) B_1(0) B 1 ( 0 ) means that σ m \sigma_m σ m must increase with m m m and converge to 1 1 1 as m → ∞ m \to\infty m → ∞ . This makes comparison of terms ρ ˉ m , n σ m , n ∗ σ m , n \bar{\rho}_{m,n}\sigma_{m,n} * \sigma_{m,n} ρ ˉ m , n σ m , n ∗ σ m , n and ρ ˉ m − 1 , n σ m − 1 , n ∗ σ m − 1 , n \bar{\rho}_{m-1,n}\sigma_{m-1,n} * \sigma_{m-1,n} ρ ˉ m − 1 , n σ m − 1 , n ∗ σ m − 1 , n difficult since the decrease in the density must be balanced with any potential increase in the solution with iteration. Naturally this difficulty carries over to the iterates σ m , n \sigma_{m,n} σ m , n and ρ ˉ m , n \bar{\rho}_{m,n} ρ ˉ m , n . In addition, this completely impedes the comparison of terms along the diagonal of the figure provided.
Figure 1.
In order to work around this impasse, we will avoid the competition between inverse monotonicities, by introducing two more iterations.
The type γ \gamma γ iterates γ n \gamma_n γ n are defined by γ 0 = 0 \gamma_0 = 0 γ 0 = 0 and, for n ≥ 1 n \ge1 n ≥ 1 ,
( − Δ + 4 e + v n ) γ n = v n + 2 e ρ n − 1 γ n − 1 ∗ γ n − 1 , (37) (-\Delta+ 4e + v_n)\gamma_n = v_n + 2e\rho_{n-1}\gamma_{n-1} * \gamma_{n-1}, \tag*{(37)} ( − Δ + 4 e + v n ) γ n = v n + 2 e ρ n − 1 γ n − 1 ∗ γ n − 1 , (37)
where v n = n 1 B 1 ( 0 ) v_n = n1_{B_1(0)} v n = n 1 B 1 ( 0 ) and the ρ n − 1 \rho_{n-1} ρ n − 1 are from the hard-core iteration (35). In other words, we use the sequence of ρ n \rho_n ρ n ’s from the hard-core iteration, and increase the potential at the same time as we proceed through the iteration.
The type ω \omega ω iterates ω n \omega_n ω n are defined by ω 0 = 0 \omega_0 = 0 ω 0 = 0 and
( − Δ + 4 e + v n ) ω n = v n + 2 e ρ h c ω n − 1 ∗ ω n − 1 . (38) (-\Delta+ 4e + v_n)\omega_n = v_n + 2e\rho_{\mathrm{hc}}\omega_{n-1} * \omega_{n-1}. \tag*{(38)} ( − Δ + 4 e + v n ) ω n = v n + 2 e ρ hc ω n − 1 ∗ ω n − 1 . (38)
where ρ h c \rho_{\mathrm{hc}} ρ hc is the hard-core density. The difference with the γ \gamma γ iteration is only that ρ n − 1 \rho_{n-1} ρ n − 1 is replaced by its limit ρ h c \rho_{\mathrm{hc}} ρ hc .
Figure 2.
Type γ \gamma γ iterates will allow us to directly compare ρ n τ n ∗ τ n \rho_n\tau_n * \tau_n ρ n τ n ∗ τ n to ρ n γ n ∗ γ n \rho_n\gamma_n * \gamma_n ρ n γ n ∗ γ n since the densities are the same and we will be able to prove that τ n ≥ γ n \tau_n \ge\gamma_n τ n ≥ γ n (Lemma 9) and γ n → L 1 τ \gamma_n \xrightarrow{L^1} \tau γ n L 1 τ (Lemma 10). This will allow us to create an envelope such that γ n ≤ ω n ≤ τ \gamma_n \le\omega_n \le\tau γ n ≤ ω n ≤ τ (Lemma 11). We cannot easily compare ω n \omega_n ω n to τ n \tau_n τ n since ρ h c ≥ ρ n ∀ n \rho_{\mathrm{hc}} \ge\rho_n\ \forall n ρ hc ≥ ρ n ∀ n . The lower bound will be obtained by comparing the non-linear terms ρ h c ω n ∗ ω n \rho_{\mathrm{hc}}\omega_n * \omega_n ρ hc ω n ∗ ω n and ρ n γ n ∗ γ n \rho_n\gamma_n * \gamma_n ρ n γ n ∗ γ n since ρ h c ≥ ρ n \rho_{\mathrm{hc}} \ge\rho_n ρ hc ≥ ρ n . As a result we will show that ω n → L 1 τ \omega_n \xrightarrow{L^1} \tau ω n L 1 τ (Corollary 12). Ultimately we will then lower bound σ n , n \sigma_{n,n} σ n , n with ω n \omega_n ω n (Lemma 16) which will enable us to show that σ n → L 1 τ \sigma_n \xrightarrow{L^1} \tau σ n L 1 τ since σ n , n ≤ σ n \sigma_{n,n} \le\sigma_n σ n , n ≤ σ n (Theorem 17). This strategy will provide L 1 L^1 L 1 convergence which is necessary but insufficient since the rate of convergence is also critical to verifying the LHY formula for the hard-core Simple Equation. To do this will require carefully studying the rate of ρ ˉ m \bar{\rho}_m ρ ˉ m to ρ h c \rho_{\mathrm{hc}} ρ hc , which will be analytically estimated in Theorem 18, using the derivative formula (65) of Lemma 15. The LHY formula, Theorem 1, is then proved in Section 7 from the identity of Lemma 21 and the uniform bounds of Lemmas 19 and 20; the condensate fraction, Theorem 2, is proved in Section 8 through Lemmas 22–25, Theorem 26 and Corollary 27.
Iterative Construction of the Hard-Core Solution
Before constructing the iterative solution scheme to the hard-core, we will introduce two lemmas will be used repeatedly in the following.
Lemma 4 (Comparison principle). Let D ⊆ R 3 D \subseteq\mathbb{R}^3 D ⊆ R 3 be open and let 0 ≤ W ∈ L ∞ ( D ) 0 \le W \in L^\infty(D) 0 ≤ W ∈ L ∞ ( D ) . Let w w w be continuous on D ‾ \overline{D} D and satisfy
( − Δ + W ) w ≥ 0 on D (39) (-\Delta+ W)w \ge0 \quad\text{on } D \tag*{(39)} ( − Δ + W ) w ≥ 0 on D (39) in the sense of distributions. If w ≥ 0 w \ge0 w ≥ 0 on ∂ D ≡ D ‾ ∖ D \partial D \equiv\overline{D} \setminus D ∂ D ≡ D ∖ D and lim inf ∣ x ∣ → ∞ w ( x ) ≥ 0 \liminf_{|x|\to\infty} w(x) \ge0 lim inf ∣ x ∣ → ∞ w ( x ) ≥ 0 (when D D D is unbounded), then w ≥ 0 w \ge0 w ≥ 0 on D ‾ \overline{D} D .
Proof. Fix ε > 0 \varepsilon> 0 ε > 0 and let Σ ε = { x ∈ D : w ( x ) < − ε } \Sigma_\varepsilon= \{x \in D : w(x) < -\varepsilon\} Σ ε = { x ∈ D : w ( x ) < − ε } , an open set. Since lim inf ∣ x ∣ → ∞ w ( x ) ≥ 0 \liminf_{|x|\to\infty} w(x) \ge0 lim inf ∣ x ∣ → ∞ w ( x ) ≥ 0 , so Σ ε \Sigma_\varepsilon Σ ε is bounded. Since w ≥ 0 > − ε w \ge0 > -\varepsilon w ≥ 0 > − ε on ∂ D \partial D ∂ D , we have Σ ε ‾ ∩ ∂ D = ∅ \overline{\Sigma_\varepsilon} \cap\partial D = \varnothing Σ ε ∩ ∂ D = ∅ , hence Σ ε ‾ \overline{\Sigma_\varepsilon} Σ ε is a compact subset of D D D , and w = − ε w=-\varepsilon w = − ε on ∂ Σ ε \partial\Sigma_\varepsilon ∂ Σ ε . Suppose Σ ε ≠ ∅ \Sigma_\varepsilon\ne\varnothing Σ ε = ∅ . On Σ ε \Sigma_\varepsilon Σ ε we have w < 0 w<0 w < 0 and W ≥ 0 W\ge0 W ≥ 0 , so (39) gives Δ w ≤ W w ≤ 0 \Delta w\le Ww\le0 Δ w ≤ W w ≤ 0 : w w w is superharmonic on Σ ε \Sigma_\varepsilon Σ ε , so it attains its minimum on ∂ Σ ε \partial\Sigma_\varepsilon ∂ Σ ε , where w = − ε w=-\varepsilon w = − ε , contradicting the definition of Σ ε \Sigma_\varepsilon Σ ε . Hence Σ ε = ∅ \Sigma_\varepsilon=\varnothing Σ ε = ∅ for every ε > 0 \varepsilon>0 ε > 0 .
Corollary 5 (Constant barriers). Let D ⊂ R 3 D\subset\mathbb{R}^{3} D ⊂ R 3 be open and bounded, c > 0 c>0 c > 0 , 0 ≤ W ∈ L ∞ ( D ) 0\le W\in L^\infty(D) 0 ≤ W ∈ L ∞ ( D ) , and let w w w be continuous on D ‾ \overline{D} D with
0 ≤ ( − Δ + c + W ) w ≤ F on D 0\le(-\Delta+c+W)w\le F\quad\text{on }D 0 ≤ ( − Δ + c + W ) w ≤ F on D in the sense of distributions, for a constant F ≥ 0 F\ge0 F ≥ 0 . Then, on D D D ,
min { 0 , min ∂ D w } ≤ w ≤ max { 0 , max ∂ D w , F c } . \min\left\{0,\min_{\partial D}w\right\}\le w\le\max\left\{0,\max_{\partial D}w,\frac{F}{c}\right\}. min { 0 , ∂ D min w } ≤ w ≤ max { 0 , ∂ D max w , c F } . Proof. Set α = min { 0 , min ∂ D w } \alpha=\min\{0,\min_{\partial D}w\} α = min { 0 , min ∂ D w } and M = max { 0 , max ∂ D w , F / c } M=\max\{0,\max_{\partial D}w,F/c\} M = max { 0 , max ∂ D w , F / c } . We apply Lemma 4 to w − α w-\alpha w − α : since α ≤ 0 \alpha\le0 α ≤ 0 , ( − Δ + c + W ) ( w − α ) ≥ − ( c + W ) α ≥ 0 (-\Delta+c+W)(w-\alpha)\ge-(c+W)\alpha\ge0 ( − Δ + c + W ) ( w − α ) ≥ − ( c + W ) α ≥ 0 , and w − α ≥ 0 w-\alpha\ge0 w − α ≥ 0 on ∂ D \partial D ∂ D . Therefore, w ≥ α w\ge\alpha w ≥ α . Next, we apply Lemma 4 to M − w M-w M − w : since M ≥ F / c M\ge F/c M ≥ F / c and W ≥ 0 W\ge0 W ≥ 0 , ( − Δ + c + W ) ( M − w ) ≥ c M − F ≥ 0 (-\Delta+c+W)(M-w)\ge cM-F\ge0 ( − Δ + c + W ) ( M − w ) ≥ c M − F ≥ 0 , and M − w ≥ 0 M-w\ge0 M − w ≥ 0 on ∂ D \partial D ∂ D . Thus, $w\le M.
With this lemma and corollary proven, we can now prove several simple but useful properties of the iterative solutions to the hard-core Simple Equation. For n ≥ 2 n\ge2 n ≥ 2 , the solution is obtained via the Green’s function of ( − Δ + 4 e ) (-\Delta+4e) ( − Δ + 4 e ) on R 3 \mathbb{R}^{3} R 3 , namely Y 4 e ( x ) = e − 2 e ∣ x ∣ / ( 4 π ∣ x ∣ ) Y_{4e}(x)=e^{-2\sqrt{e}|x|}/(4\pi|x|) Y 4 e ( x ) = e − 2 e ∣ x ∣ / ( 4 π ∣ x ∣ ) . Solving Eq. (33) directly, we find
τ n ( r ) = a n e − 2 e ( r − 1 ) r + e ρ n − 1 2 r ∫ 1 ∞ s [ τ n − 1 ∗ τ n − 1 ] ( s ) e − 2 e ∣ s − r ∣ d s , r > 1 , (40) \tau_n(r)=a_n\frac{e^{-2\sqrt{e}(r-1)}}{r}+\frac{\sqrt{e}\rho_{n-1}}{2r}\int_1^\infty s[\tau_{n-1}*\tau_{n-1}](s)e^{-2\sqrt{e}|s-r|}\,ds,\qquad r>1, \tag*{(40)} τ n ( r ) = a n r e − 2 e ( r − 1 ) + 2 r e ρ n − 1 ∫ 1 ∞ s [ τ n − 1 ∗ τ n − 1 ] ( s ) e − 2 e ∣ s − r ∣ d s , r > 1 , (40)
with
a n = 1 − e ρ n − 1 2 ∫ 1 ∞ s [ τ n − 1 ∗ τ n − 1 ] ( s ) e − 2 e ( s − 1 ) d s . (41) a_n=1-\frac{\sqrt{e}\rho_{n-1}}{2}\int_1^\infty s[\tau_{n-1}*\tau_{n-1}](s)e^{-2\sqrt{e}(s-1)}\,ds. \tag*{(41)} a n = 1 − 2 e ρ n − 1 ∫ 1 ∞ s [ τ n − 1 ∗ τ n − 1 ] ( s ) e − 2 e ( s − 1 ) d s . (41)
Therefore each τ n \tau_n τ n is continuous on R 3 \mathbb{R}^{3} R 3 and smooth on B 1 ( 0 ) B_1(0) B 1 ( 0 ) and B 1 c B_1^c B 1 c separately. Differentiating (40) at r = 1 + r=1^+ r = 1 + gives
∂ r τ n ∣ 1 + = − 1 − 2 e − 4 e a n . (42) \left.\partial_r\tau_n\right|_{1^+}=-1-2\sqrt{e}-4\sqrt{e}a_n. \tag*{(42)} ∂ r τ n ∣ 1 + = − 1 − 2 e − 4 e a n . (42)
Lemma 6 (Properties of hard-core iterates). For all n ≥ 1 n\ge1 n ≥ 1 :
(i) 0 ≤ τ n ≤ 1 0\le\tau_n\le1 0 ≤ τ n ≤ 1 ,
(ii) ∫ τ n ≤ 1 / ρ n \int\tau_n\le1/\rho_n ∫ τ n ≤ 1/ ρ n ,
(iii) τ n ≤ τ n + 1 \tau_n\le\tau_{n+1} τ n ≤ τ n + 1 and ρ n ≤ ρ n + 1 \rho_n\le\rho_{n+1} ρ n ≤ ρ n + 1 .
Proof. We proceed by induction. For n = 1 n=1 n = 1 , (i) and (ii) are clear from (36). To see τ 1 ≤ τ 2 \tau_1\le\tau_2 τ 1 ≤ τ 2 , we write the difference using the explicit formula and observe the integrand is non-negative by the triangle inequality. The inequality ρ 2 ≥ ρ 1 \rho_2\ge\rho_1 ρ 2 ≥ ρ 1 then follows from the comparison of the denominators in (35).
Assume the statements hold for all indices up to n − 1 n-1 n − 1 .
Non-negativity. On { ∣ x ∣ > 1 } \{|x|>1\} { ∣ x ∣ > 1 } we have ( − Δ + 4 e ) τ n = 2 e ρ n − 1 τ n − 1 ∗ τ n − 1 ≥ 0 (-\Delta+4e)\tau_n=2e\rho_{n-1}\tau_{n-1}*\tau_{n-1}\ge0 ( − Δ + 4 e ) τ n = 2 e ρ n − 1 τ n − 1 ∗ τ n − 1 ≥ 0 by the induction hypothesis, while τ n = 1 \tau_n=1 τ n = 1 on ∂ B 1 \partial B_1 ∂ B 1 and τ n → 0 \tau_n\to0 τ n → 0 at infinity by (40). Lemma 4 with D = { ∣ x ∣ > 1 } D=\{|x|>1\} D = { ∣ x ∣ > 1 } , c = 4 e c=4e c = 4 e , W = 0 W=0 W = 0 gives τ n ≥ 0 \tau_n\ge0 τ n ≥ 0 .
Upper bound τ n ≤ 1 \tau_n\le1 τ n ≤ 1 . Since $(-\Delta+4e)(1-\tau_n)=4e-2e\rho_{n-1}\tau_{n-1}*\tau_{n-1}\ge 2e>0 by τ n − 1 ≤ 1 \tau_{n-1} \le1 τ n − 1 ≤ 1 and ρ n − 1 ∫ τ n − 1 ≤ 1 \rho_{n-1}\int\tau_{n-1} \le1 ρ n − 1 ∫ τ n − 1 ≤ 1 , while 1 − τ n = 0 1-\tau_n=0 1 − τ n = 0 on ∂ B 1 \partial B_1 ∂ B 1 and 1 − τ n → 1 1-\tau_n\to1 1 − τ n → 1 at infinity, Lemma 4 gives τ n ≤ 1 \tau_n\le1 τ n ≤ 1 .
Monotonicity. For τ n ≤ τ n + 1 \tau_n\le\tau_{n+1} τ n ≤ τ n + 1 , observe that on ∣ x ∣ > 1 |x|>1 ∣ x ∣ > 1 ,
( − Δ + 4 e ) ( τ n + 1 − τ n ) = 2 e [ ρ n τ n ∗ τ n − ρ n − 1 τ n − 1 ∗ τ n − 1 ] ≥ 0 , (-\Delta+4e)(\tau_{n+1}-\tau_n)=2e[\rho_n\tau_n * \tau_n-\rho_{n-1}\tau_{n-1} * \tau_{n-1}]\ge0, ( − Δ + 4 e ) ( τ n + 1 − τ n ) = 2 e [ ρ n τ n ∗ τ n − ρ n − 1 τ n − 1 ∗ τ n − 1 ] ≥ 0 ,
by the induction hypothesis ρ n ≥ ρ n − 1 \rho_n\ge\rho_{n-1} ρ n ≥ ρ n − 1 and τ n ≥ τ n − 1 \tau_n\ge\tau_{n-1} τ n ≥ τ n − 1 . Since τ n + 1 − τ n = 0 \tau_{n+1}-\tau_n=0 τ n + 1 − τ n = 0 on ∂ B 1 \partial B_1 ∂ B 1 , the maximum principle yields τ n + 1 ≥ τ n \tau_{n+1}\ge\tau_n τ n + 1 ≥ τ n . This implies ∂ r τ n + 1 ∣ 1 + ≥ ∂ r τ n ∣ 1 + \partial_r\tau_{n+1}|_{1+}\ge\partial_r\tau_n|_{1+} ∂ r τ n + 1 ∣ 1 + ≥ ∂ r τ n ∣ 1 + , and together with the induction hypothesis the denominator in (35) does not increase, so ρ n + 1 ≥ ρ n \rho_{n+1}\ge\rho_n ρ n + 1 ≥ ρ n .
Integral bound. Integrating (33) over { ∣ x ∣ > 1 } \{|x|>1\} { ∣ x ∣ > 1 } and using the definition of ρ n \rho_n ρ n gives
2 ∫ τ n = ρ n − 1 ( ∫ τ n − 1 ) 2 + 1 ρ n ≤ ∫ τ n − 1 + 1 ρ n ≤ ∫ τ n + 1 ρ n , (43) 2\int\tau_n=\rho_{n-1}\left(\int\tau_{n-1}\right)^2+\frac{1}{\rho_n}\le\int\tau_{n-1}+\frac{1}{\rho_n}\le\int\tau_n+\frac{1}{\rho_n}, \tag*{(43)} 2 ∫ τ n = ρ n − 1 ( ∫ τ n − 1 ) 2 + ρ n 1 ≤ ∫ τ n − 1 + ρ n 1 ≤ ∫ τ n + ρ n 1 , (43)
hence ∫ τ n ≤ 1 / ρ n \int\tau_n\le1/\rho_n ∫ τ n ≤ 1/ ρ n .
Lemma 7 (Convergence). The limits τ = lim n → ∞ τ n \tau=\lim_{n\to\infty}\tau_n τ = lim n → ∞ τ n and ρ h c = lim n → ∞ ρ n \rho_{\mathrm{hc}}=\lim_{n\to\infty}\rho_n ρ hc = lim n → ∞ ρ n exist, satisfy 0 ≤ τ ≤ 1 0\le\tau\le1 0 ≤ τ ≤ 1 , ρ h c ∫ τ = 1 \rho_{\mathrm{hc}}\int\tau=1 ρ hc ∫ τ = 1 , and ∥ τ n − τ ∥ L 1 → 0 \|\tau_n-\tau\|_{L^1}\to0 ∥ τ n − τ ∥ L 1 → 0 .
Proof. τ n \tau_n τ n is increasing and bounded by 1, so τ n → τ \tau_n\to\tau τ n → τ pointwise. Since 0 ≤ τ n ≤ τ 0\le\tau_n\le\tau 0 ≤ τ n ≤ τ and ∫ τ n ≤ 1 / ρ 1 < ∞ \int\tau_n\le1/\rho_1<\infty ∫ τ n ≤ 1/ ρ 1 < ∞ , monotone convergence gives τ ∈ L 1 \tau\in L^1 τ ∈ L 1 and ∥ τ − τ n ∥ L 1 = ∫ ( τ − τ n ) → 0 \|\tau-\tau_n\|_{L^1}=\int(\tau-\tau_n)\to0 ∥ τ − τ n ∥ L 1 = ∫ ( τ − τ n ) → 0 . The density ρ n \rho_n ρ n is increasing and bounded (by ρ n ≤ 1 / ∫ τ 1 \rho_n\le1/\int\tau_1 ρ n ≤ 1/ ∫ τ 1 ), so ρ n → ρ h c \rho_n\to\rho_{\mathrm{hc}} ρ n → ρ hc . Passing the integral relation ρ n ∫ τ n = 1 \rho_n\int\tau_n=1 ρ n ∫ τ n = 1 (which follows from (43) and the monotone limits) to the limit gives ρ h c ∫ τ = 1 \rho_{\mathrm{hc}}\int\tau=1 ρ hc ∫ τ = 1 . The fact that τ \tau τ solves (8) follows by taking n → ∞ n\to\infty n → ∞ in the weak formulation of (33) .
Lemma 8 (Uniqueness). ( τ , ρ h c ) (\tau,\rho_{\mathrm{hc}}) ( τ , ρ hc ) is the unique solution of (8) with 0 ≤ τ ≤ 1 0\le\tau\le1 0 ≤ τ ≤ 1 and τ ∈ L 1 \tau\in L^1 τ ∈ L 1 .
Proof. Let τ ′ \tau' τ ′ be another such solution with density ρ ′ \rho' ρ ′ . We show τ ′ ≥ τ n \tau'\ge\tau_n τ ′ ≥ τ n for all n n n by induction. Assume τ ′ ≥ τ n − 1 \tau'\ge\tau_{n-1} τ ′ ≥ τ n − 1 . If Υ = { ∣ x ∣ > 1 : τ ′ ( x ) < τ n ( x ) } ≠ ∅ \Upsilon=\{|x|>1:\tau'(x)<\tau_n(x)\}\ne\varnothing Υ = { ∣ x ∣ > 1 : τ ′ ( x ) < τ n ( x )} = ∅ , then on Υ \Upsilon Υ ,
Δ ( τ ′ − τ n ) = 4 e ( τ ′ − τ n ) − 2 e [ ρ ′ τ ′ ∗ τ ′ − ρ n − 1 τ n − 1 ∗ τ n − 1 ] < 0 , \Delta(\tau'-\tau_n)=4e(\tau'-\tau_n)-2e[\rho'\tau'*\tau'-\rho_{n-1}\tau_{n-1}*\tau_{n-1}]<0, Δ ( τ ′ − τ n ) = 4 e ( τ ′ − τ n ) − 2 e [ ρ ′ τ ′ ∗ τ ′ − ρ n − 1 τ n − 1 ∗ τ n − 1 ] < 0 ,
so τ ′ − τ n \tau'-\tau_n τ ′ − τ n is superharmonic on Υ \Upsilon Υ and attains its minimum on ∂ Υ \partial\Upsilon ∂ Υ , where it vanishes (since τ ′ = τ n = 1 \tau'=\tau_n=1 τ ′ = τ n = 1 on ∂ B 1 \partial B_1 ∂ B 1 ). Contradiction. Therefore τ ′ ≥ τ n \tau'\ge\tau_n τ ′ ≥ τ n for all n n n , hence τ ′ ≥ τ \tau'\ge\tau τ ′ ≥ τ and ρ ′ ≥ ρ h c \rho'\ge\rho_{\mathrm{hc}} ρ ′ ≥ ρ hc . But ∫ τ ′ = 1 / ρ ′ \int\tau'=1/\rho' ∫ τ ′ = 1/ ρ ′ and ∫ τ = 1 / ρ h c \int\tau=1/\rho_{\mathrm{hc}} ∫ τ = 1/ ρ hc , so ρ ′ ≤ ρ h c \rho'\le\rho_{\mathrm{hc}} ρ ′ ≤ ρ hc . Thus ρ ′ = ρ h c \rho'=\rho_{\mathrm{hc}} ρ ′ = ρ hc and τ ′ = τ \tau'=\tau τ ′ = τ a.e.
Intermediate Iterative Systems
The n iteration
We recall the definition of the γ n \gamma_n γ n iteration (37) :
γ 0 = 0 , ( − Δ + 4 e + v n ) γ n = v n + 2 e ρ n − 1 γ n − 1 ∗ γ n − 1 . (44) \gamma_0=0,\qquad(-\Delta+4e+v_n)\gamma_n=v_n+2e\rho_{n-1}\gamma_{n-1}*\gamma_{n-1}. \tag*{(44)} γ 0 = 0 , ( − Δ + 4 e + v n ) γ n = v n + 2 e ρ n − 1 γ n − 1 ∗ γ n − 1 . (44)
In this section we will prove that γ n \gamma_n γ n converges to τ \tau τ in L 1 L^1 L 1 norm.
Lemma 9. For all n ≥ 0 n\ge0 n ≥ 0 ,
(i) 0 ≤ γ n ≤ 1 0\le\gamma_n\le1 0 ≤ γ n ≤ 1 ,
(ii) γ n ≤ τ n \gamma_n\le\tau_n γ n ≤ τ n ,
(iii) γ n ≤ γ n + 1 \gamma_n \le\gamma_{n+1} γ n ≤ γ n + 1 .
Proof. Take γ 0 = τ 0 = 0 \gamma_0=\tau_0=0 γ 0 = τ 0 = 0 . By induction; the case n = 0 n=0 n = 0 is trivial. Assume 0 ≤ γ n − 1 ≤ 1 0\le\gamma_{n-1}\le1 0 ≤ γ n − 1 ≤ 1 and γ n − 1 ≤ τ n − 1 \gamma_{n-1}\le\tau_{n-1} γ n − 1 ≤ τ n − 1 .
Non-negativity. The right-hand side of (37) is non-negative and ( − Δ + 4 e + v n ) − 1 \left(-\Delta+4e+v_n\right)^{-1} ( − Δ + 4 e + v n ) − 1 is positivity preserving, so γ n ≥ 0 \gamma_n\ge0 γ n ≥ 0 .
Upper bound γ n ≤ 1 \gamma_n\le1 γ n ≤ 1 . On R 3 \mathbb{R}^3 R 3 ,
( − Δ + 4 e + v n ) ( 1 − γ n ) = 4 e − 2 e ρ n − 1 γ n − 1 ∗ γ n − 1 ≥ 4 e − 2 e = 2 e > 0 , \left(-\Delta+4e+v_n\right)(1-\gamma_n)=4e-2e\rho_{n-1}\gamma_{n-1}*\gamma_{n-1}\ge4e-2e=2e>0, ( − Δ + 4 e + v n ) ( 1 − γ n ) = 4 e − 2 e ρ n − 1 γ n − 1 ∗ γ n − 1 ≥ 4 e − 2 e = 2 e > 0 ,
using γ n − 1 ≤ 1 \gamma_{n-1}\le1 γ n − 1 ≤ 1 and ρ n − 1 ∫ γ n − 1 ≤ ρ n − 1 ∫ τ n − 1 ≤ 1 \rho_{n-1}\int\gamma_{n-1}\le\rho_{n-1}\int\tau_{n-1}\le1 ρ n − 1 ∫ γ n − 1 ≤ ρ n − 1 ∫ τ n − 1 ≤ 1 (which follows from the induction hypothesis and Lemma 6); moreover 1 − γ n → 1 1-\gamma_n\to1 1 − γ n → 1 at infinity. Lemma 4 with D = R 3 D=\mathbb{R}^3 D = R 3 , c = 4 e c=4e c = 4 e , W = v n W=v_n W = v n gives γ n ≤ 1 \gamma_n\le1 γ n ≤ 1 .
Monotonicity. Assuming γ n − 1 ≤ γ n \gamma_{n-1}\le\gamma_n γ n − 1 ≤ γ n , on R 3 \mathbb{R}^3 R 3 ,
( − Δ + 4 e + v n + 1 ) ( γ n + 1 − γ n ) = ( v n + 1 − v n ) ( 1 − γ n ) + 2 e [ ρ n γ n ∗ γ n − ρ n − 1 γ n − 1 ∗ γ n − 1 ] ≥ 0 , \begin{aligned}
\left(-\Delta+4e+v_{n+1}\right)(\gamma_{n+1}-\gamma_n)
&=(v_{n+1}-v_n)(1-\gamma_n)\\
&\quad+2e[\rho_n\gamma_n*\gamma_n-\rho_{n-1}\gamma_{n-1}*\gamma_{n-1}]\ge0,
\end{aligned} ( − Δ + 4 e + v n + 1 ) ( γ n + 1 − γ n ) = ( v n + 1 − v n ) ( 1 − γ n ) + 2 e [ ρ n γ n ∗ γ n − ρ n − 1 γ n − 1 ∗ γ n − 1 ] ≥ 0 ,
since v n + 1 ≥ v n v_{n+1}\ge v_n v n + 1 ≥ v n , γ n ≤ 1 \gamma_n\le1 γ n ≤ 1 (by the upper bound above), ρ n ≥ ρ n − 1 \rho_n\ge\rho_{n-1} ρ n ≥ ρ n − 1 (Lemma 6), and γ n ≥ γ n − 1 ≥ 0 \gamma_n\ge\gamma_{n-1}\ge0 γ n ≥ γ n − 1 ≥ 0 ; moreover γ n + 1 − γ n → 0 \gamma_{n+1}-\gamma_n\to0 γ n + 1 − γ n → 0 at infinity. Lemma 4 with D = R 3 D=\mathbb{R}^3 D = R 3 , c = 4 e c=4e c = 4 e , W = v n + 1 W=v_{n+1} W = v n + 1 gives γ n + 1 ≥ γ n \gamma_{n+1}\ge\gamma_n γ n + 1 ≥ γ n .
Comparison γ n ≤ τ n \gamma_n\le\tau_n γ n ≤ τ n . On B 1 ( 0 ) B_1(0) B 1 ( 0 ) this reads γ n ≤ 1 = τ n \gamma_n\le1=\tau_n γ n ≤ 1 = τ n . On { ∣ x ∣ > 1 } \{|x|>1\} { ∣ x ∣ > 1 } ,
( − Δ + 4 e ) ( τ n − γ n ) = 2 e ρ n − 1 [ τ n − 1 ∗ τ n − 1 − γ n − 1 ∗ γ n − 1 ] ≥ 0 (-\Delta+4e)(\tau_n-\gamma_n)=2e\rho_{n-1}[\tau_{n-1}*\tau_{n-1}-\gamma_{n-1}*\gamma_{n-1}]\ge0 ( − Δ + 4 e ) ( τ n − γ n ) = 2 e ρ n − 1 [ τ n − 1 ∗ τ n − 1 − γ n − 1 ∗ γ n − 1 ] ≥ 0
by the induction hypothesis, while τ n − γ n = 1 − γ n ( 1 ) ≥ 0 \tau_n-\gamma_n=1-\gamma_n(1)\ge0 τ n − γ n = 1 − γ n ( 1 ) ≥ 0 on ∂ B 1 \partial B_1 ∂ B 1 and τ n − γ n → 0 \tau_n-\gamma_n\to0 τ n − γ n → 0 at infinity. Lemma 4 with D = { ∣ x ∣ > 1 } D=\{|x|>1\} D = { ∣ x ∣ > 1 } , c = 4 e c=4e c = 4 e , W = 0 W=0 W = 0 gives γ n ≤ τ n \gamma_n\le\tau_n γ n ≤ τ n .
Lemma 10. γ n ↑ τ \gamma_n\uparrow\tau γ n ↑ τ pointwise and in L 1 L^1 L 1 .
Proof. By Lemma 9, the sequence ( γ n ) (\gamma_n) ( γ n ) is non-decreasing and bounded above by τ \tau τ , so γ n ↑ γ ≤ τ \gamma_n\uparrow\gamma\le\tau γ n ↑ γ ≤ τ pointwise. Since τ ∈ L 1 \tau\in L^1 τ ∈ L 1 (Lemma 7), monotone convergence gives γ ∈ L 1 \gamma\in L^1 γ ∈ L 1 and
∥ γ − γ n ∥ L 1 = ∫ ( γ − γ n ) → 0. \|\gamma-\gamma_n\|_{L^1}=\int(\gamma-\gamma_n)\to0. ∥ γ − γ n ∥ L 1 = ∫ ( γ − γ n ) → 0.
The rest of the proof consists in showing that γ = τ \gamma=\tau γ = τ .
Boundary value. Integrating (44) over R 3 \mathbb{R}^3 R 3 yields
n ∫ B 1 ( 0 ) ( 1 − γ n ) = 4 e ∫ γ n − 2 e ρ n − 1 ∥ γ n − 1 ∥ L 1 2 ≤ 4 e ∫ τ n ≤ 4 e ρ 1 , (45) n\int_{B_1(0)}(1-\gamma_n)=4e\int\gamma_n-2e\rho_{n-1}\|\gamma_{n-1}\|_{L^1}^2\le4e\int\tau_n\le\frac{4e}{\rho_1}, \tag*{(45)} n ∫ B 1 ( 0 ) ( 1 − γ n ) = 4 e ∫ γ n − 2 e ρ n − 1 ∥ γ n − 1 ∥ L 1 2 ≤ 4 e ∫ τ n ≤ ρ 1 4 e , (45)
using γ n ≤ τ n \gamma_n\le\tau_n γ n ≤ τ n (Lemma 9) and ∫ τ n ≤ 1 / ρ n ≤ 1 / ρ 1 \int\tau_n\le1/\rho_n\le1/\rho_1 ∫ τ n ≤ 1/ ρ n ≤ 1/ ρ 1 (Lemma 6); hence ∫ B 1 ( 0 ) ( 1 − γ n ) ≤ C / n → 0 \int_{B_1(0)}(1-\gamma_n)\le C/n\to0 ∫ B 1 ( 0 ) ( 1 − γ n ) ≤ C / n → 0 . To see that γ n ( 1 ) → 1 \gamma_n(1)\to1 γ n ( 1 ) → 1 , set ι n = 1 − γ n ≥ 0 \iota_n=1-\gamma_n\ge0 ι n = 1 − γ n ≥ 0 on B 1 ( 0 ) B_1(0) B 1 ( 0 ) ; it satisfies, for x ∈ B 1 ( 0 ) x\in B_1(0) x ∈ B 1 ( 0 ) ,
( − Δ + κ 2 ) ι n = 4 e − 2 e ρ n − 1 ( γ n − 1 ∗ γ n − 1 ) ≡ f n , κ = 4 e + n , (-\Delta+\kappa^2)\iota_n=4e-2e\rho_{n-1}(\gamma_{n-1}*\gamma_{n-1})\equiv f_n,\qquad\kappa=\sqrt{4e+n}, ( − Δ + κ 2 ) ι n = 4 e − 2 e ρ n − 1 ( γ n − 1 ∗ γ n − 1 ) ≡ f n , κ = 4 e + n ,
with 0 ≤ f n ≤ 4 e 0\le f_n\le4e 0 ≤ f n ≤ 4 e : indeed 2 e ρ n − 1 ( γ n − 1 ∗ γ n − 1 ) ≤ 2 e ρ n − 1 ∥ γ n − 1 ∥ L ∞ ∥ γ n − 1 ∥ L 1 ≤ 2 e ρ n − 1 ∫ τ n − 1 ≤ 2 e 2e\rho_{n-1}(\gamma_{n-1}*\gamma_{n-1})\le2e\rho_{n-1}\|\gamma_{n-1}\|_{L^\infty}\|\gamma_{n-1}\|_{L^1}\le2e\rho_{n-1}\int\tau_{n-1}\le2e 2 e ρ n − 1 ( γ n − 1 ∗ γ n − 1 ) ≤ 2 e ρ n − 1 ∥ γ n − 1 ∥ L ∞ ∥ γ n − 1 ∥ L 1 ≤ 2 e ρ n − 1 ∫ τ n − 1 ≤ 2 e by Lemmas 9 and 6. Decompose ι n = ι ~ n + h n \iota_n=\tilde\iota_n+h_n ι n = ι ~ n + h n , where ι ~ n ∣ ∂ B 1 = 0 \tilde\iota_n|_{\partial B_1}=0 ι ~ n ∣ ∂ B 1 = 0 and h n h_n h n is the homogeneous solution: ( − Δ + κ 2 ) h n = 0 (-\Delta+\kappa^2)h_n=0 ( − Δ + κ 2 ) h n = 0 with h n ( 1 ) = ι n ( 1 ) h_n(1)=\iota_n(1) h n ( 1 ) = ι n ( 1 ) , i.e. h n ( r ) = ι n ( 1 ) sinh ( κ r ) r sinh κ h_n(r)=\iota_n(1)\frac{\sinh(\kappa r)}{r\sinh\kappa} h n ( r ) = ι n ( 1 ) r s i n h κ s i n h ( κ r ) . Since ( − Δ + κ 2 ) h n = 0 (-\Delta+\kappa^2)h_n=0 ( − Δ + κ 2 ) h n = 0 , the function ι ~ n \widetilde{\iota}_n ι n satisfies the same equation as ι n \iota_n ι n , with ι ~ n = 0 \widetilde{\iota}_n=0 ι n = 0 on ∂ B 1 \partial B_1 ∂ B 1 ; Corollary 5 with D = B 1 ( 0 ) D=B_1(0) D = B 1 ( 0 ) , c = κ 2 c=\kappa^2 c = κ 2 , W = 0 W=0 W = 0 , F = 4 e F=4e F = 4 e gives 0 ≤ ι ~ n ≤ 4 e / κ 2 0\leq\widetilde{\iota}_n\leq4e/\kappa^2 0 ≤ ι n ≤ 4 e / κ 2 . Furthermore,
∫ B 1 ( 0 ) h n = 4 π ι n ( 1 ) κ 2 sinh κ ( κ cosh κ − sinh κ ) ∼ 4 π ι n ( 1 ) κ ( κ → ∞ ) . \int_{B_1(0)}h_n=\frac{4\pi\iota_n(1)}{\kappa^2\sinh\kappa}(\kappa\cosh\kappa-\sinh\kappa)\sim\frac{4\pi\iota_n(1)}{\kappa}\quad(\kappa\to\infty). ∫ B 1 ( 0 ) h n = κ 2 sinh κ 4 π ι n ( 1 ) ( κ cosh κ − sinh κ ) ∼ κ 4 π ι n ( 1 ) ( κ → ∞ ) .
Since ι n = ι ~ n + h n ≥ h n ≥ 0 \iota_n=\widetilde{\iota}_n+h_n\geq h_n\geq0 ι n = ι n + h n ≥ h n ≥ 0 and ∫ B 1 ( 0 ) ι n = O ( 1 / n ) \int_{B_1(0)}\iota_n=O(1/n) ∫ B 1 ( 0 ) ι n = O ( 1/ n ) by (45) , we obtain ι n ( 1 ) = O ( κ / n ) = O ( 1 / n ) \iota_n(1)=O(\kappa/n)=O(1/\sqrt{n}) ι n ( 1 ) = O ( κ / n ) = O ( 1/ n ) , hence γ n ( 1 ) → 1 \gamma_n(1)\to1 γ n ( 1 ) → 1 . Since γ \gamma γ is the pointwise limit, γ ( 1 ) = lim n γ n ( 1 ) = 1 \gamma(1)=\lim_n\gamma_n(1)=1 γ ( 1 ) = lim n γ n ( 1 ) = 1 ; and by (45) , ∫ B 1 ( 0 ) ( 1 − γ ) = lim n ∫ B 1 ( 0 ) ( 1 − γ n ) = 0 \int_{B_1(0)}(1-\gamma)=\lim_n\int_{B_1(0)}(1-\gamma_n)=0 ∫ B 1 ( 0 ) ( 1 − γ ) = lim n ∫ B 1 ( 0 ) ( 1 − γ n ) = 0 , so γ = 1 \gamma=1 γ = 1 a.e. on B 1 ( 0 ) B_1(0) B 1 ( 0 ) .
Continuity at the boundary. γ \gamma γ is continuous up to ∂ B 1 \partial B_1 ∂ B 1 : for every n n n and r > 1 r>1 r > 1 , γ ( r ) ≥ γ n ( r ) \gamma(r)\geq\gamma_n(r) γ ( r ) ≥ γ n ( r ) , so by continuity of γ n \gamma_n γ n ,
lim inf r → 1 + γ ( r ) ≥ γ n ( 1 ) = 1 − O ( n − 1 / 2 ) for every n , \liminf_{r\to1^+}\gamma(r)\geq\gamma_n(1)=1-O(n^{-1/2})\quad\text{for every }n, r → 1 + lim inf γ ( r ) ≥ γ n ( 1 ) = 1 − O ( n − 1/2 ) for every n ,
whence lim inf r → 1 + γ ( r ) ≥ 1 \liminf_{r\to1^+}\gamma(r)\geq1 lim inf r → 1 + γ ( r ) ≥ 1 ; combined with γ ≤ 1 \gamma\leq1 γ ≤ 1 this gives γ ( r ) → 1 = γ ( 1 ) \gamma(r)\to1=\gamma(1) γ ( r ) → 1 = γ ( 1 ) .
Limit equation. On { ∣ x ∣ > 1 } \{|x|>1\} { ∣ x ∣ > 1 } , v n = 0 v_n=0 v n = 0 , so (44) reads ( − Δ + 4 e ) γ n = 2 e ρ n − 1 ( γ n − 1 ∗ γ n − 1 ) (-\Delta+4e)\gamma_n=2e\rho_{n-1}(\gamma_{n-1}*\gamma_{n-1}) ( − Δ + 4 e ) γ n = 2 e ρ n − 1 ( γ n − 1 ∗ γ n − 1 ) . The convolutions converge uniformly:
∥ γ n − 1 ∗ γ n − 1 − γ ∗ γ ∥ L ∞ ≤ ( ∥ γ n − 1 ∥ L ∞ + ∥ γ ∥ L ∞ ) ∥ γ n − 1 − γ ∥ L 1 ≤ 2 ∥ γ − γ n − 1 ∥ L 1 → 0 , \|\gamma_{n-1}*\gamma_{n-1}-\gamma*\gamma\|_{L^\infty}\leq(\|\gamma_{n-1}\|_{L^\infty}+\|\gamma\|_{L^\infty})\|\gamma_{n-1}-\gamma\|_{L^1}\leq2\|\gamma-\gamma_{n-1}\|_{L^1}\to0, ∥ γ n − 1 ∗ γ n − 1 − γ ∗ γ ∥ L ∞ ≤ ( ∥ γ n − 1 ∥ L ∞ + ∥ γ ∥ L ∞ ) ∥ γ n − 1 − γ ∥ L 1 ≤ 2∥ γ − γ n − 1 ∥ L 1 → 0 ,
and ρ n − 1 → ρ h c \rho_{n-1}\to\rho_{\mathrm{hc}} ρ n − 1 → ρ hc (Lemma 7 ). Testing against φ ∈ C c ∞ ( { ∣ x ∣ > 1 } ) \varphi\in C^\infty_c(\{|x|>1\}) φ ∈ C c ∞ ({ ∣ x ∣ > 1 }) and using dominated convergence on the left-hand side, we may pass to the limit:
( − Δ + 4 e ) γ = 2 e ρ h c ( γ ∗ γ ) on { ∣ x ∣ > 1 } , γ = 1 on ∂ B 1 . (-\Delta+4e)\gamma=2e\rho_{\mathrm{hc}}(\gamma*\gamma)\quad\text{on }\{|x|>1\},\qquad\gamma=1\text{ on }\partial B_1. ( − Δ + 4 e ) γ = 2 e ρ hc ( γ ∗ γ ) on { ∣ x ∣ > 1 } , γ = 1 on ∂ B 1 .
Since the right-hand side is bounded (γ ∗ γ ≤ ∥ γ ∥ L 1 \gamma*\gamma\leq\|\gamma\|_{L^1} γ ∗ γ ≤ ∥ γ ∥ L 1 ), elliptic regularity makes γ \gamma γ continuous on { ∣ x ∣ > 1 } \{|x|>1\} { ∣ x ∣ > 1 } , and the equation holds classically.
Identification with τ \tau τ . Via the uniqueness property of τ \tau τ from Lemma 8 , it results immediately that γ = τ \gamma=\tau γ = τ .
The n iteration
We recall the definition of the ω n \omega_n ω n iteration
ω 0 = 0 , ( − Δ + 4 e + v n ) ω n = v n + 2 e ρ h c ω n − 1 ∗ ω n − 1 . (46) \omega_0=0,\qquad(-\Delta+4e+v_n)\omega_n=v_n+2e\rho_{\mathrm{hc}}\omega_{n-1}*\omega_{n-1}. \tag*{(46)} ω 0 = 0 , ( − Δ + 4 e + v n ) ω n = v n + 2 e ρ hc ω n − 1 ∗ ω n − 1 . (46)
In this section we prove that ω n \omega_n ω n converges to τ \tau τ in L 1 L^1 L 1 .
Lemma 11. For all n ≥ 0 n\geq0 n ≥ 0 , 0 ≤ ω n ≤ 1 0\leq\omega_n\leq1 0 ≤ ω n ≤ 1 , ω n ≤ τ \omega_n\leq\tau ω n ≤ τ , ω n ≥ γ n \omega_n\geq\gamma_n ω n ≥ γ n , and ω n ≤ ω n + 1 \omega_n\leq\omega_{n+1} ω n ≤ ω n + 1 .
Proof. Take ω 0 = 0 \omega_0=0 ω 0 = 0 . By induction; the case n = 0 n=0 n = 0 is trivial. Assume 0 ≤ ω n − 1 ≤ 1 0\leq\omega_{n-1}\leq1 0 ≤ ω n − 1 ≤ 1 , ω n − 1 ≤ τ \omega_{n-1}\leq\tau ω n − 1 ≤ τ , and ω n − 1 ≥ γ n − 1 \omega_{n-1}\geq\gamma_{n-1} ω n − 1 ≥ γ n − 1 .
Non-negativity. The right-hand side of (38) is non-negative and ( − Δ + 4 e + v n ) − 1 (-\Delta+4e+v_n)^{-1} ( − Δ + 4 e + v n ) − 1 is positivity preserving, so ω n ≥ 0 \omega_n\geq0 ω n ≥ 0 .
Upper bound ω n ≤ 1 \omega_n\leq1 ω n ≤ 1 . On R 3 \mathbb{R}^3 R 3 ,
( − Δ + 4 e + v n ) ( 1 − ω n ) = 4 e − 2 e ρ h c ω n − 1 ∗ ω n − 1 ≥ 4 e − 2 e = 2 e > 0 , (-\Delta+4e+v_n)(1-\omega_n)=4e-2e\rho_{\mathrm{hc}}\omega_{n-1}*\omega_{n-1}\geq4e-2e=2e>0, ( − Δ + 4 e + v n ) ( 1 − ω n ) = 4 e − 2 e ρ hc ω n − 1 ∗ ω n − 1 ≥ 4 e − 2 e = 2 e > 0 ,
using ω n − 1 ≤ 1 \omega_{n-1} \le1 ω n − 1 ≤ 1 and ρ h c ∫ ω n − 1 ≤ ρ h c ∫ τ = 1 \rho_{\mathrm{hc}} \int\omega_{n-1} \le\rho_{\mathrm{hc}} \int\tau= 1 ρ hc ∫ ω n − 1 ≤ ρ hc ∫ τ = 1 (which follows from the inductive hypothesis and Lemma 7); moreover 1 − ω n → 1 1-\omega_n \to1 1 − ω n → 1 at infinity. Lemma 4 with D = R 3 D = \mathbb{R}^3 D = R 3 , c = 4 e c = 4e c = 4 e , W = v n W = v_n W = v n gives ω n ≤ 1 \omega_n \le1 ω n ≤ 1 .
Monotonicity. Assuming ω n − 1 ≤ ω n \omega_{n-1} \le\omega_n ω n − 1 ≤ ω n , on R 3 \mathbb{R}^3 R 3 ,
( − Δ + 4 e + v n + 1 ) ( ω n + 1 − ω n ) = ( v n + 1 − v n ) ( 1 − ω n ) + 2 e ρ h c [ ω n ∗ ω n − ω n − 1 ∗ ω n − 1 ] ≥ 0 , (-\Delta+ 4e + v_{n+1})(\omega_{n+1}-\omega_n) = (v_{n+1}-v_n)(1-\omega_n) + 2e\rho_{\mathrm{hc}}[\omega_n * \omega_n-\omega_{n-1} * \omega_{n-1}] \ge0, ( − Δ + 4 e + v n + 1 ) ( ω n + 1 − ω n ) = ( v n + 1 − v n ) ( 1 − ω n ) + 2 e ρ hc [ ω n ∗ ω n − ω n − 1 ∗ ω n − 1 ] ≥ 0 ,
since v n + 1 ≥ v n v_{n+1} \ge v_n v n + 1 ≥ v n , ω n ≤ 1 \omega_n \le1 ω n ≤ 1 , and ω n ≥ ω n − 1 ≥ 0 \omega_n \ge\omega_{n-1} \ge0 ω n ≥ ω n − 1 ≥ 0 ; moreover ω n + 1 − ω n → 0 \omega_{n+1}-\omega_n \to0 ω n + 1 − ω n → 0 at infinity. Lemma 4 with D = R 3 D = \mathbb{R}^3 D = R 3 , c = 4 e c = 4e c = 4 e , W = v n + 1 W = v_{n+1} W = v n + 1 gives ω n + 1 ≥ ω n \omega_{n+1} \ge\omega_n ω n + 1 ≥ ω n .
Comparison ω n ≤ τ \omega_n \le\tau ω n ≤ τ . For ∣ x ∣ ≤ 1 |x| \le1 ∣ x ∣ ≤ 1 this reads ω n ≤ 1 = τ \omega_n \le1 = \tau ω n ≤ 1 = τ . On { ∣ x ∣ > 1 } \{|x| > 1\} { ∣ x ∣ > 1 } , (8) gives ( − Δ + 4 e ) τ = 2 e ρ h c τ ∗ τ (-\Delta+ 4e)\tau= 2e\rho_{\mathrm{hc}} \tau* \tau ( − Δ + 4 e ) τ = 2 e ρ hc τ ∗ τ , so
( − Δ + 4 e ) ( τ − ω n ) = 2 e ρ h c [ τ ∗ τ − ω n − 1 ∗ ω n − 1 ] ≥ 0 (-\Delta+ 4e)(\tau-\omega_n) = 2e\rho_{\mathrm{hc}}[\tau* \tau-\omega_{n-1} * \omega_{n-1}] \ge0 ( − Δ + 4 e ) ( τ − ω n ) = 2 e ρ hc [ τ ∗ τ − ω n − 1 ∗ ω n − 1 ] ≥ 0
by the induction hypothesis, while τ − ω n = 1 − ω n ( 1 ) ≥ 0 \tau-\omega_n = 1-\omega_n(1) \ge0 τ − ω n = 1 − ω n ( 1 ) ≥ 0 on ∂ B 1 \partial B_1 ∂ B 1 and lim inf ∣ x ∣ → ∞ ( τ − ω n ) ≥ 0 \liminf_{|x|\to\infty}(\tau-\omega_n) \ge0 lim inf ∣ x ∣ → ∞ ( τ − ω n ) ≥ 0 since τ ≥ 0 \tau\ge0 τ ≥ 0 and ω n → 0 \omega_n \to0 ω n → 0 . Lemma 4 with D = { ∣ x ∣ > 1 } D = \{|x| > 1\} D = { ∣ x ∣ > 1 } , c = 4 e c = 4e c = 4 e , W = 0 W = 0 W = 0 gives ω n ≤ τ \omega_n \le\tau ω n ≤ τ .
Comparison ω n ≥ γ n \omega_n \ge\gamma_n ω n ≥ γ n . On R 3 \mathbb{R}^3 R 3 , subtracting (37) from (38) ,
( − Δ + 4 e + v n ) ( ω n − γ n ) = 2 e [ ρ h c ω n − 1 ∗ ω n − 1 − ρ n − 1 γ n − 1 ∗ γ n − 1 ] ≥ 0 , (-\Delta+ 4e + v_n)(\omega_n-\gamma_n) = 2e[\rho_{\mathrm{hc}}\omega_{n-1} * \omega_{n-1}-\rho_{n-1}\gamma_{n-1} * \gamma_{n-1}] \ge0, ( − Δ + 4 e + v n ) ( ω n − γ n ) = 2 e [ ρ hc ω n − 1 ∗ ω n − 1 − ρ n − 1 γ n − 1 ∗ γ n − 1 ] ≥ 0 ,
since ρ h c ≥ ρ n − 1 \rho_{\mathrm{hc}} \ge\rho_{n-1} ρ hc ≥ ρ n − 1 (Lemmas 6 and 7) and ω n − 1 ≥ γ n − 1 ≥ 0 \omega_{n-1} \ge\gamma_{n-1} \ge0 ω n − 1 ≥ γ n − 1 ≥ 0 by the induction hypothesis and Lemma 9; moreover ω n − γ n → 0 \omega_n-\gamma_n \to0 ω n − γ n → 0 at infinity. Lemma 4 with D = R 3 D = \mathbb{R}^3 D = R 3 , c = 4 e c = 4e c = 4 e , W = v n W = v_n W = v n gives ω n ≥ γ n \omega_n \ge\gamma_n ω n ≥ γ n .
Corollary 12. ∥ ω n − τ ∥ L 1 → 0 \|\omega_n-\tau\|_{L^1} \to0 ∥ ω n − τ ∥ L 1 → 0 .
Proof. From γ n ≤ ω n ≤ τ \gamma_n \le\omega_n \le\tau γ n ≤ ω n ≤ τ and Lemma 10 we have ∫ ( τ − ω n ) ≤ ∫ ( τ − γ n ) → 0 \int(\tau-\omega_n) \le\int(\tau-\gamma_n) \to0 ∫ ( τ − ω n ) ≤ ∫ ( τ − γ n ) → 0 , which implies L 1 L^1 L 1 convergence.
The Soft-Core Simple Equation
We recall [11 Lemma 3.1-3.2, Equation (3.9)] :
Lemma 13. For all n ≥ 1 n \ge1 n ≥ 1 , σ m , n ≥ 0 \sigma_{m,n} \ge0 σ m , n ≥ 0 , σ m , n ≤ 1 \sigma_{m,n} \le1 σ m , n ≤ 1 , σ m , n ≤ σ m , n + 1 \sigma_{m,n} \le\sigma_{m,n+1} σ m , n ≤ σ m , n + 1 , ρ ˉ m , n ≤ ρ ˉ m , n + 1 \bar{\rho}_{m,n} \le\bar{\rho}_{m,n+1} ρ ˉ m , n ≤ ρ ˉ m , n + 1 , and
2 ∫ σ m , n = 1 / ρ ˉ m , n + ρ ˉ m , n − 1 ∥ σ m , n − 1 ∥ L 1 2 , ∫ σ m , n ≤ 1 / ρ ˉ m , n . (47) 2\int\sigma_{m,n} = 1/\bar{\rho}_{m,n}+\bar{\rho}_{m,n-1}\|\sigma_{m,n-1}\|_{L^1}^2,\qquad\int\sigma_{m,n} \le1/\bar{\rho}_{m,n}. \tag*{(47)} 2 ∫ σ m , n = 1/ ρ ˉ m , n + ρ ˉ m , n − 1 ∥ σ m , n − 1 ∥ L 1 2 , ∫ σ m , n ≤ 1/ ρ ˉ m , n . (47)
The proof uses the same tools as the proofs in section 3.
Per-n n n convergence to hard-core iterates
Lemma 14. For each fixed n ≥ 1 n \ge1 n ≥ 1 , ∥ σ m , n − τ n ∥ L 1 → 0 \|\sigma_{m,n}-\tau_n\|_{L^1} \to0 ∥ σ m , n − τ n ∥ L 1 → 0 and ρ ˉ m , n → ρ n \bar{\rho}_{m,n} \to\rho_n ρ ˉ m , n → ρ n as m → ∞ m \to\infty m → ∞ .
Proof. By induction on n n n . For n = 1 n = 1 n = 1 , solving (32) with σ m , 0 = 0 \sigma_{m,0}=0 σ m , 0 = 0 and the boundary conditions ∂ r σ m , 1 ( r ) ∣ r = 0 = 0 \partial_r\sigma_{m,1}(r)|_{r=0}=0 ∂ r σ m , 1 ( r ) ∣ r = 0 = 0 (which follows from the condition that σ m , 1 \sigma_{m,1} σ m , 1 is differentiable
and radially symmetric), lim r → ∞ σ m , 1 ( r ) = 0 \lim_{r\to\infty}\sigma_{m,1}(r)=0 lim r → ∞ σ m , 1 ( r ) = 0 , along with the condition that σ m , 1 ( r ) \sigma_{m,1}(r) σ m , 1 ( r ) and ∂ r σ m , 1 ( r ) \partial_r\sigma_{m,1}(r) ∂ r σ m , 1 ( r ) are continuous at r = 1 r=1 r = 1 , we find
σ m , 1 ( r ) = { m κ 2 ( 1 − 1 + 2 e κ cosh κ + 2 e sinh κ sinh ( κ r ) r ) , r < 1 , σ m , 1 ( 1 ) e − 2 e ( r − 1 ) r , r > 1 , κ = 4 e + m . \sigma_{m,1}(r)=
\begin{cases}
\frac{m}{\kappa^2}\left(1-\frac{1+2\sqrt{e}}{\kappa\cosh\kappa+2\sqrt{e}\sinh\kappa}\frac{\sinh(\kappa r)}{r}\right), & r<1,\\[6pt]
\sigma_{m,1}(1)\frac{e^{-2\sqrt{e}(r-1)}}{r}, & r>1,
\end{cases}
\qquad\kappa=\sqrt{4e+m}. σ m , 1 ( r ) = ⎩ ⎨ ⎧ κ 2 m ( 1 − κ c o s h κ + 2 e s i n h κ 1 + 2 e r s i n h ( κ r ) ) , σ m , 1 ( 1 ) r e − 2 e ( r − 1 ) , r < 1 , r > 1 , κ = 4 e + m .
with σ m , 1 ( 1 ) = m κ 2 κ cosh κ − sinh κ κ cosh κ + 2 e sinh κ = 1 − O ( 1 / m ) \sigma_{m,1}(1)=\frac{m}{\kappa^2}\frac{\kappa\cosh\kappa-\sinh\kappa}{\kappa\cosh\kappa+2\sqrt{e}\sinh\kappa}=1-O(1/\sqrt{m}) σ m , 1 ( 1 ) = κ 2 m κ c o s h κ + 2 e s i n h κ κ c o s h κ − s i n h κ = 1 − O ( 1/ m ) . In addition, it follows from integrating the first of (32) that
m ∫ B 1 ( 0 ) ( 1 − σ m , 1 ( ∣ x ∣ ) ) d x = 4 e ∫ R 3 σ m , 1 ( ∣ x ∣ ) d x (48) m\int_{B_1(0)}(1-\sigma_{m,1}(|x|))\,dx=4e\int_{\mathbb{R}^3}\sigma_{m,1}(|x|)\,dx \tag*{(48)} m ∫ B 1 ( 0 ) ( 1 − σ m , 1 ( ∣ x ∣ )) d x = 4 e ∫ R 3 σ m , 1 ( ∣ x ∣ ) d x (48)
so in particular ∫ B 1 ( 0 ) ∣ σ m , 1 − τ 1 ∣ ≡ ∫ B 1 ( 0 ) ( 1 − σ m , 1 ) = O ( 1 / m ) \int_{B_1(0)}|\sigma_{m,1}-\tau_1|\equiv\int_{B_1(0)}(1-\sigma_{m,1})=O(1/m) ∫ B 1 ( 0 ) ∣ σ m , 1 − τ 1 ∣ ≡ ∫ B 1 ( 0 ) ( 1 − σ m , 1 ) = O ( 1/ m ) . Combining this with σ m , 1 ( 1 ) = 1 + O ( 1 / m ) \sigma_{m,1}(1)=1+O(1/\sqrt{m}) σ m , 1 ( 1 ) = 1 + O ( 1/ m ) and (36), we find that ∥ σ m , 1 − τ 1 ∥ L 1 = O ( 1 / m ) \|\sigma_{m,1}-\tau_1\|_{L^1}=O(1/\sqrt{m}) ∥ σ m , 1 − τ 1 ∥ L 1 = O ( 1/ m ) . Finally, by (48), m ∫ B 1 ( 0 ) ( 1 − σ m , 1 ) = 4 e ∫ σ m , 1 → 4 e ∫ τ 1 = 2 e / ρ 1 m\int_{B_1(0)}(1-\sigma_{m,1})=4e\int\sigma_{m,1}\to4e\int\tau_1=2e/\rho_1 m ∫ B 1 ( 0 ) ( 1 − σ m , 1 ) = 4 e ∫ σ m , 1 → 4 e ∫ τ 1 = 2 e / ρ 1 (by Eq. (36) ), and therefore by the second of (32), ρ ‾ m , 1 → ρ 1 \overline{\rho}_{m,1}\to\rho_1 ρ m , 1 → ρ 1 .
Estimates inside the core. We mimic the Boundary value step in the proof of Lemma 10, with the roles of n n n there played by m m m . Set ι m , n = 1 − σ m , n ≥ 0 \iota_{m,n}=1-\sigma_{m,n}\geq0 ι m , n = 1 − σ m , n ≥ 0 on B 1 ( 0 ) B_1(0) B 1 ( 0 ) ; it satisfies, for x ∈ B 1 ( 0 ) x\in B_1(0) x ∈ B 1 ( 0 ) ,
( − Δ + κ 2 ) ι m , n = 4 e − 2 e ρ ‾ m , n − 1 ( σ m , n − 1 ∗ σ m , n − 1 ) ≡ f , κ = 4 e + m , (-\Delta+\kappa^2)\iota_{m,n}=4e-2e\overline{\rho}_{m,n-1}(\sigma_{m,n-1}*\sigma_{m,n-1})\equiv f,\qquad\kappa=\sqrt{4e+m}, ( − Δ + κ 2 ) ι m , n = 4 e − 2 e ρ m , n − 1 ( σ m , n − 1 ∗ σ m , n − 1 ) ≡ f , κ = 4 e + m ,
with 0 ≤ f ≤ 4 e 0\leq f\leq4e 0 ≤ f ≤ 4 e : indeed 2 e ρ ‾ m , n − 1 ( σ m , n − 1 ∗ σ m , n − 1 ) ≤ 2 e ρ ‾ m , n − 1 ∥ σ m , n − 1 ∥ L ∞ ∥ σ m , n − 1 ∥ L 1 ≤ 2 e 2e\overline{\rho}_{m,n-1}(\sigma_{m,n-1}*\sigma_{m,n-1})\leq2e\overline{\rho}_{m,n-1}\|\sigma_{m,n-1}\|_{L^\infty}\|\sigma_{m,n-1}\|_{L^1}\leq2e 2 e ρ m , n − 1 ( σ m , n − 1 ∗ σ m , n − 1 ) ≤ 2 e ρ m , n − 1 ∥ σ m , n − 1 ∥ L ∞ ∥ σ m , n − 1 ∥ L 1 ≤ 2 e by Lemma 13. Decompose ι m , n = ι ~ m , n + h m , n \iota_{m,n}=\widetilde{\iota}_{m,n}+h_{m,n} ι m , n = ι m , n + h m , n , where ι ~ m , n ∣ ∂ B 1 = 0 \widetilde{\iota}_{m,n}|_{\partial B_1}=0 ι m , n ∣ ∂ B 1 = 0 and h m , n h_{m,n} h m , n is the homogeneous solution: ( − Δ + κ 2 ) h m , n = 0 (-\Delta+\kappa^2)h_{m,n}=0 ( − Δ + κ 2 ) h m , n = 0 with h m , n ( 1 ) = ι m , n ( 1 ) h_{m,n}(1)=\iota_{m,n}(1) h m , n ( 1 ) = ι m , n ( 1 ) , i.e. h m , n ( r ) = ι m , n ( 1 ) sinh ( κ r ) r sinh κ h_{m,n}(r)=\iota_{m,n}(1)\frac{\sinh(\kappa r)}{r\sinh\kappa} h m , n ( r ) = ι m , n ( 1 ) r s i n h κ s i n h ( κ r ) . Since ( − Δ + κ 2 ) h m , n = 0 (-\Delta+\kappa^2)h_{m,n}=0 ( − Δ + κ 2 ) h m , n = 0 , the function ι ~ m , n \widetilde{\iota}_{m,n} ι m , n satisfies the same equation as ι m , n \iota_{m,n} ι m , n , with ι ~ m , n = 0 \widetilde{\iota}_{m,n}=0 ι m , n = 0 on ∂ B 1 \partial B_1 ∂ B 1 ; Corollary 5 with D = B 1 ( 0 ) D=B_1(0) D = B 1 ( 0 ) , c = κ 2 c=\kappa^2 c = κ 2 , W = 0 W=0 W = 0 , F = 4 e F=4e F = 4 e gives 0 ≤ ι ~ m , n ≤ 4 e / κ 2 0\leq\widetilde{\iota}_{m,n}\leq4e/\kappa^2 0 ≤ ι m , n ≤ 4 e / κ 2 . Furthermore,
∫ B 1 ( 0 ) h m , n = 4 π ι m , n ( 1 ) κ 2 sinh κ ( κ cosh κ − sinh κ ) ∼ 4 π ι m , n ( 1 ) κ ( κ → ∞ ) . (49) \int_{B_1(0)}h_{m,n}=\frac{4\pi\iota_{m,n}(1)}{\kappa^2\sinh\kappa}(\kappa\cosh\kappa-\sinh\kappa)\sim\frac{4\pi\iota_{m,n}(1)}{\kappa}\qquad(\kappa\to\infty). \tag*{(49)} ∫ B 1 ( 0 ) h m , n = κ 2 sinh κ 4 π ι m , n ( 1 ) ( κ cosh κ − sinh κ ) ∼ κ 4 π ι m , n ( 1 ) ( κ → ∞ ) . (49)
Integrating (32) over R 3 \mathbb{R}^3 R 3 and using Lemma 13,
m ∫ B 1 ( 0 ) ι m , n = 4 e ∫ σ m , n − 2 e ρ ‾ m , n − 1 ∥ σ m , n − 1 ∥ L 1 2 ≤ 4 e ρ ‾ m , 1 , m\int_{B_1(0)}\iota_{m,n}=4e\int\sigma_{m,n}-2e\overline{\rho}_{m,n-1}\|\sigma_{m,n-1}\|_{L^1}^2\leq\frac{4e}{\overline{\rho}_{m,1}}, m ∫ B 1 ( 0 ) ι m , n = 4 e ∫ σ m , n − 2 e ρ m , n − 1 ∥ σ m , n − 1 ∥ L 1 2 ≤ ρ m , 1 4 e ,
and since ρ ‾ m , 1 → ρ 1 > 0 \overline{\rho}_{m,1}\to\rho_1>0 ρ m , 1 → ρ 1 > 0 , the right-hand side is bounded uniformly in m m m , so ∫ B 1 ( 0 ) ι m , n = O ( 1 / m ) \int_{B_1(0)}\iota_{m,n}=O(1/m) ∫ B 1 ( 0 ) ι m , n = O ( 1/ m ) . Since ι m , n = ι ~ m , n + h m , n ≥ h m , n \iota_{m,n}=\widetilde{\iota}_{m,n}+h_{m,n}\geq h_{m,n} ι m , n = ι m , n + h m , n ≥ h m , n , we thus have ∫ B 1 ( 0 ) h m , n = O ( 1 / m ) \int_{B_1(0)}h_{m,n}=O(1/m) ∫ B 1 ( 0 ) h m , n = O ( 1/ m ) , which, by (49), implies ι m , n ( 1 ) = O ( κ / m ) = O ( 1 / m ) \iota_{m,n}(1)=O(\kappa/m)=O(1/\sqrt{m}) ι m , n ( 1 ) = O ( κ / m ) = O ( 1/ m ) . Hence 1 − σ m , n ( 1 ) = O ( m − 1 / 2 ) 1-\sigma_{m,n}(1)=O(m^{-1/2}) 1 − σ m , n ( 1 ) = O ( m − 1/2 ) and ∫ B 1 ( 0 ) ( 1 − σ m , n ) = O ( m − 1 ) \int_{B_1(0)}(1-\sigma_{m,n})=O(m^{-1}) ∫ B 1 ( 0 ) ( 1 − σ m , n ) = O ( m − 1 ) .
Convergence outside B 1 ( 0 ) B_1(0) B 1 ( 0 ) . Let w = τ n − σ m , n w=\tau_n-\sigma_{m,n} w = τ n − σ m , n on { ∣ x ∣ > 1 } \{|x|>1\} { ∣ x ∣ > 1 } ; w w w is radial and bounded, with w ( 1 ) = 1 − σ m , n ( 1 ) w(1)=1-\sigma_{m,n}(1) w ( 1 ) = 1 − σ m , n ( 1 ) . Subtracting (32) from (33),
( − Δ + 4 e ) w = 2 e ( ρ n − 1 τ n − 1 ∗ τ n − 1 − ρ ‾ m , n − 1 σ m , n − 1 ∗ σ m , n − 1 ) ≡ β n on { ∣ x ∣ > 1 } . (-\Delta+4e)w=2e\left(\rho_{n-1}\tau_{n-1}*\tau_{n-1}-\overline{\rho}_{m,n-1}\sigma_{m,n-1}*\sigma_{m,n-1}\right)\equiv\beta_n\quad\text{on }\{|x|>1\}. ( − Δ + 4 e ) w = 2 e ( ρ n − 1 τ n − 1 ∗ τ n − 1 − ρ m , n − 1 σ m , n − 1 ∗ σ m , n − 1 ) ≡ β n on { ∣ x ∣ > 1 } .
Since w w w solves this equation only on the exterior, it cannot be represented directly by the Green’s function Y 4 e ( x ) = e − 2 e ∣ x ∣ / ( 4 π ∣ x ∣ ) Y_{4e}(x)=e^{-2\sqrt{e}|x|}/(4\pi|x|) Y 4 e ( x ) = e − 2 e ∣ x ∣ / ( 4 π ∣ x ∣ ) of − Δ + 4 e -\Delta+4e − Δ + 4 e on R 3 \mathbb{R}^3 R 3 . Instead, we extend the source term β n \beta_n β n to R n \mathbb{R}^n R n by setting it to zero inside B 1 ( 0 ) B_1(0) B 1 ( 0 ) : let W : = Y 4 e ∗ ( β n 1 B 1 c ) W := Y_{4e} * (\beta_n 1_{B_1^c}) W := Y 4 e ∗ ( β n 1 B 1 c ) be the bounded radial solution of ( − Δ + 4 e ) W = β n 1 B 1 c (-\Delta+ 4e)W = \beta_n 1_{B_1^c} ( − Δ + 4 e ) W = β n 1 B 1 c on R 3 \mathbb{R}^3 R 3 . On { ∣ x ∣ > 1 } \{|x| > 1\} { ∣ x ∣ > 1 } it is given by directly evaluating the convolution of β n \beta_n β n with Y 4 e Y_{4e} Y 4 e and using bipolar coordinates:
W ( r ) = 1 4 e r ∫ 1 ∞ s β n ( s ) ( e − 2 e ∣ r − s ∣ − e − 2 e ( r + s ) ) d s W(r) = \frac{1}{4\sqrt{e}r} \int_1^\infty s\beta_n(s)\left(e^{-2\sqrt{e}|r-s|} - e^{-2\sqrt{e}(r+s)}\right)\,ds W ( r ) = 4 e r 1 ∫ 1 ∞ s β n ( s ) ( e − 2 e ∣ r − s ∣ − e − 2 e ( r + s ) ) d s
so it is C 2 C^2 C 2 there and solves the equation classically. Both w w w and W W W solve ( − Δ + 4 e ) u = β n (-\Delta+ 4e)u = \beta_n ( − Δ + 4 e ) u = β n on the exterior, and we set W ( 1 ) = w ( 1 ) W(1) = w(1) W ( 1 ) = w ( 1 ) so that w ( r ) = W ( r ) w(r) = W(r) w ( r ) = W ( r ) for all r ≥ 1 r \ge1 r ≥ 1 , and so, for r ≥ 1 r \ge1 r ≥ 1 ,
w ( r ) = Y 4 e ∗ ( β n 1 B 1 ( 0 ) c ) . (50) w(r) = Y_{4e} * (\beta_n 1_{B_1(0)^c}). \tag*{(50)} w ( r ) = Y 4 e ∗ ( β n 1 B 1 ( 0 ) c ) . (50)
We then estimate ∥ w ∥ L 1 ( B 1 c ) ≤ ∥ w ∥ L 1 \|w\|_{L^1(B_1^c)} \le\|w\|_{L^1} ∥ w ∥ L 1 ( B 1 c ) ≤ ∥ w ∥ L 1 , and, by Young’s inequality and ∥ Y 4 e ∥ L 1 = 1 / ( 4 e ) \|Y_{4e}\|_{L^1} = 1/(4e) ∥ Y 4 e ∥ L 1 = 1/ ( 4 e ) ,
∥ w ∥ L 1 ( B 1 c ) ≤ ∥ β n ∥ L 1 4 e \|w\|_{L^1(B_1^c)} \le\frac{\|\beta_n\|_{L^1}}{4e} ∥ w ∥ L 1 ( B 1 c ) ≤ 4 e ∥ β n ∥ L 1
By the induction hypothesis and Young’s inequality,
∥ β n ∥ L 1 ≤ 2 e ∣ ρ n − 1 − ρ ˉ m , n − 1 ∣ ∥ τ n − 1 ∥ L 1 2 + 2 e ρ ˉ m , n − 1 ( ∥ τ n − 1 ∥ L 1 + ∥ σ m , n − 1 ∥ L 1 ) ∥ τ n − 1 − σ m , n − 1 ∥ L 1 → 0. \|\beta_n\|_{L^1} \le2e|\rho_{n-1}-\bar{\rho}_{m,n-1}|\|\tau_{n-1}\|_{L^1}^2+2e\bar{\rho}_{m,n-1}\left(\|\tau_{n-1}\|_{L^1}+\|\sigma_{m,n-1}\|_{L^1}\right)\|\tau_{n-1}-\sigma_{m,n-1}\|_{L^1}\to0. ∥ β n ∥ L 1 ≤ 2 e ∣ ρ n − 1 − ρ ˉ m , n − 1 ∣∥ τ n − 1 ∥ L 1 2 + 2 e ρ ˉ m , n − 1 ( ∥ τ n − 1 ∥ L 1 + ∥ σ m , n − 1 ∥ L 1 ) ∥ τ n − 1 − σ m , n − 1 ∥ L 1 → 0.
Combining with ∫ B 1 ( 0 ) ∣ τ n − σ m , n ∣ ≡ ∫ B 1 ( 0 ) ( 1 − σ m , n ) = O ( 1 / m ) \int_{B_1(0)}|\tau_n-\sigma_{m,n}| \equiv\int_{B_1(0)}(1-\sigma_{m,n}) = O(1/m) ∫ B 1 ( 0 ) ∣ τ n − σ m , n ∣ ≡ ∫ B 1 ( 0 ) ( 1 − σ m , n ) = O ( 1/ m ) , we conclude ∥ σ m , n − τ n ∥ L 1 → 0 \|\sigma_{m,n}-\tau_n\|_{L^1}\to0 ∥ σ m , n − τ n ∥ L 1 → 0 .
Density convergence. By the integral relation (47) and the L 1 L^1 L 1 convergence just proved,
1 ρ ˉ m , n = 2 ∫ σ m , n − ρ ˉ m , n − 1 ( ∫ σ m , n − 1 ) 2 ⟶ 2 ∫ τ n − ρ n − 1 ( ∫ τ n − 1 ) 2 = 1 ρ n , \frac{1}{\bar{\rho}_{m,n}}=2\int\sigma_{m,n}-\bar{\rho}_{m,n-1}\left(\int\sigma_{m,n-1}\right)^2 \longrightarrow2\int\tau_n-\rho_{n-1}\left(\int\tau_{n-1}\right)^2=\frac{1}{\rho_n}, ρ ˉ m , n 1 = 2 ∫ σ m , n − ρ ˉ m , n − 1 ( ∫ σ m , n − 1 ) 2 ⟶ 2 ∫ τ n − ρ n − 1 ( ∫ τ n − 1 ) 2 = ρ n 1 ,
the last equality being (43); hence ρ ˉ m , n → ρ n \bar{\rho}_{m,n}\to\rho_n ρ ˉ m , n → ρ n .
Convergence of the Converged Soft-Core Solution
Let σ m = lim n → ∞ σ m , n \sigma_m=\lim_{n\to\infty}\sigma_{m,n} σ m = lim n → ∞ σ m , n and ρ ˉ m = lim n → ∞ ρ ˉ m , n \bar{\rho}_m=\lim_{n\to\infty}\bar{\rho}_{m,n} ρ ˉ m = lim n → ∞ ρ ˉ m , n . Then, by [11 Lemma 3.3] , ( σ m , ρ ˉ m ) (\sigma_m,\bar{\rho}_m) ( σ m , ρ ˉ m ) solves
( − Δ + 4 e + v m ) σ m = v m + 2 e ρ ˉ m σ m ∗ σ m (51) (-\Delta+4e+v_m)\sigma_m=v_m+2e\bar{\rho}_m\sigma_m*\sigma_m \tag*{(51)} ( − Δ + 4 e + v m ) σ m = v m + 2 e ρ ˉ m σ m ∗ σ m (51)
with
ρ ˉ m = 2 e m ∫ B 1 ( 0 ) ( 1 − σ m ) . (52) \bar{\rho}_m=\frac{2e}{m\int_{B_1(0)}(1-\sigma_m)}. \tag*{(52)} ρ ˉ m = m ∫ B 1 ( 0 ) ( 1 − σ m ) 2 e . (52)
In particular, we have ρ ˉ m ∫ σ m = 1 \bar{\rho}_m\int\sigma_m=1 ρ ˉ m ∫ σ m = 1 .
Lemma 15. The map m ↦ ρ ˉ m m\mapsto\bar{\rho}_m m ↦ ρ ˉ m is differentiable and strictly decreasing; consequently ρ ˉ m ≥ ρ h c \bar{\rho}_m\ge\rho_{\mathrm{hc}} ρ ˉ m ≥ ρ hc for all m m m .
Proof. The derivative formula. For f ∈ L 1 f\in L^1 f ∈ L 1 , let C f C_f C f denote the convolution operator C f g : = f ∗ g C_f g:=f*g C f g := f ∗ g , and define the linearised resolvent
K m = ( − Δ + 4 e + v m − 4 e ρ ˉ m C σ m ) − 1 . (53) K_m=\left(-\Delta+4e+v_m-4e\bar{\rho}_m C_{\sigma_m}\right)^{-1}. \tag*{(53)} K m = ( − Δ + 4 e + v m − 4 e ρ ˉ m C σ m ) − 1 . (53)
The operator K m − 1 K_m^{-1} K m − 1 is symmetric and non-negative on L 2 L^2 L 2 (as v m v_m v m is real and σ m \sigma_m σ m is radial, so C σ m C_{\sigma_m} C σ m is self-adjoint with norm ∥ σ m ∥ L 1 = 1 / ρ ˉ m \|\sigma_m\|_{L^1}=1/\bar{\rho}_m ∥ σ m ∥ L 1 = 1/ ρ ˉ m ); K m [ v m ] : = ∫ 0 ∞ e − t K m − 1 v m d t K_m[v_m]:=\int_0^\infty e^{-tK_m^{-1}}v_m\,dt K m [ v m ] := ∫ 0 ∞ e − t K m − 1 v m d t is well defined and non-negative by the Trotter product formula, and Φ m : = K m [ v m ] \Phi_m:=K_m[v_m] Φ m := K m [ v m ] satisfies 0 ≤ Φ m ≤ 1 0\leq\Phi_m\leq1 0 ≤ Φ m ≤ 1 , with Φ m < 1 \Phi_m<1 Φ m < 1 on a set of positive measure [12 Lemma 7.5] .
Since ρ ˉ m ∫ σ m = 1 \bar{\rho}_m\int\sigma_m=1 ρ ˉ m ∫ σ m = 1 ,
K m − 1 1 = 4 e + v m − 4 e ρ ˉ m ∫ σ m = v m = K m − 1 Φ m , K_m^{-1}1=4e+v_m-4e\bar{\rho}_m\int\sigma_m=v_m=K_m^{-1}\Phi_m, K m − 1 1 = 4 e + v m − 4 e ρ ˉ m ∫ σ m = v m = K m − 1 Φ m ,
so 1 − Φ m 1-\Phi_m 1 − Φ m solves the homogeneous equation
( − Δ + 4 e + v m ) ( 1 − Φ m ) = 4 e ρ ˉ m σ m ∗ ( 1 − Φ m ) . (54) (-\Delta+4e+v_m)(1-\Phi_m)=4e\bar{\rho}_m\sigma_m*(1-\Phi_m). \tag*{(54)} ( − Δ + 4 e + v m ) ( 1 − Φ m ) = 4 e ρ ˉ m σ m ∗ ( 1 − Φ m ) . (54)
Multiplying (52) by 1 − Φ m 1-\Phi_m 1 − Φ m and (53) by σ m \sigma_m σ m , and integrating over R 3 \mathbb{R}^3 R 3 gives
∫ ( 1 − Φ m ) ( − Δ + 4 e + v m ) σ m = ∫ ( 1 − Φ m ) v m + 2 e ρ ˉ m ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) , (55) \int(1-\Phi_m)(-\Delta+4e+v_m)\sigma_m=\int(1-\Phi_m)v_m+2e\bar{\rho}_m\int(1-\Phi_m)(\sigma_m*\sigma_m), \tag*{(55)} ∫ ( 1 − Φ m ) ( − Δ + 4 e + v m ) σ m = ∫ ( 1 − Φ m ) v m + 2 e ρ ˉ m ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) , (55)
∫ σ m ( − Δ + 4 e + v m ) ( 1 − Φ m ) = 4 e ρ ˉ m ∫ σ m ( σ m ∗ ( 1 − Φ m ) ) . (56) \int\sigma_m(-\Delta+4e+v_m)(1-\Phi_m)=4e\bar{\rho}_m\int\sigma_m(\sigma_m*(1-\Phi_m)). \tag*{(56)} ∫ σ m ( − Δ + 4 e + v m ) ( 1 − Φ m ) = 4 e ρ ˉ m ∫ σ m ( σ m ∗ ( 1 − Φ m )) . (56)
All integrals converge: the right-hand side of (52) lies in L 1 L^1 L 1 and 0 ≤ 1 − Φ m ≤ 1 0\leq1-\Phi_m\leq1 0 ≤ 1 − Φ m ≤ 1 , while σ m ∈ L 1 \sigma_m\in L^1 σ m ∈ L 1 and σ m ∗ ( 1 − Φ m ) \sigma_m*(1-\Phi_m) σ m ∗ ( 1 − Φ m ) is bounded. We prove that the two left-hand sides coincide. The terms with 4 e + v m 4e+v_m 4 e + v m agree trivially. For the Laplacian terms we use integration by parts. To show that the boundary terms vanish, we use the fact that σ m ( x ) = O ( ∣ x ∣ − 4 ) \sigma_m(x)=O(|x|^{-4}) σ m ( x ) = O ( ∣ x ∣ − 4 ) [11 ] along with
∇ σ m = ∇ Y 4 e ∗ ( v m ( 1 − σ m ) + 2 e ρ ˉ m σ m ∗ σ m ) = O ( ∣ x ∣ − 4 ) (57) \nabla\sigma_m=\nabla Y_{4e}*(v_m(1-\sigma_m)+2e\bar{\rho}_m\sigma_m*\sigma_m)=O(|x|^{-4}) \tag*{(57)} ∇ σ m = ∇ Y 4 e ∗ ( v m ( 1 − σ m ) + 2 e ρ ˉ m σ m ∗ σ m ) = O ( ∣ x ∣ − 4 ) (57)
while ∣ Φ m ∣ ≤ 1 |\Phi_m|\leq1 ∣ Φ m ∣ ≤ 1 and
∇ Φ m = ∇ Y 4 e ∗ ( v m ( 1 − Φ m ) + 4 e ρ ˉ m σ m ∗ Φ m ) = O ( 1 ) . (58) \nabla\Phi_m=\nabla Y_{4e}*(v_m(1-\Phi_m)+4e\bar{\rho}_m\sigma_m*\Phi_m)=O(1). \tag*{(58)} ∇ Φ m = ∇ Y 4 e ∗ ( v m ( 1 − Φ m ) + 4 e ρ ˉ m σ m ∗ Φ m ) = O ( 1 ) . (58)
Thus,
∫ ( 1 − Φ m ) v m + 2 e ρ ˉ m ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) = 4 e ρ ˉ m ∫ σ m ( σ m ∗ ( 1 − Φ m ) ) . (59) \int(1-\Phi_m)v_m+2e\bar{\rho}_m\int(1-\Phi_m)(\sigma_m*\sigma_m)=4e\bar{\rho}_m\int\sigma_m(\sigma_m*(1-\Phi_m)). \tag*{(59)} ∫ ( 1 − Φ m ) v m + 2 e ρ ˉ m ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) = 4 e ρ ˉ m ∫ σ m ( σ m ∗ ( 1 − Φ m )) . (59)
Furthermore, Fubini’s theorem and the evenness of the radial function σ m \sigma_m σ m give
∫ σ m ( x ) ( σ m ∗ ( 1 − Φ m ) ) ( x ) d x = ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) \int\sigma_m(x)(\sigma_m*(1-\Phi_m))(x)\,dx=\int(1-\Phi_m)(\sigma_m*\sigma_m) ∫ σ m ( x ) ( σ m ∗ ( 1 − Φ m )) ( x ) d x = ∫ ( 1 − Φ m ) ( σ m ∗ σ m )
and so
∫ ( 1 − Φ m ) v m = 2 e ρ ˉ m ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) . (60) \int(1-\Phi_m)v_m=2e\bar{\rho}_m\int(1-\Phi_m)(\sigma_m*\sigma_m). \tag*{(60)} ∫ ( 1 − Φ m ) v m = 2 e ρ ˉ m ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) . (60)
Now differentiate in m m m . To justify this we argue with finite differences, following [12 Section 3] . Fix m ′ ≠ m m'\ne m m ′ = m and write δ m : = m ′ − m \delta m:=m'-m δ m := m ′ − m , δ σ : = σ m ′ − σ m \delta\sigma:=\sigma_{m'}-\sigma_m δ σ := σ m ′ − σ m , δ ρ : = ρ ˉ m ′ − ρ ˉ m \delta\rho:=\bar{\rho}_{m'}-\bar{\rho}_m δ ρ := ρ ˉ m ′ − ρ ˉ m , σ ~ : = 1 2 ( σ m + σ m ′ ) \tilde{\sigma}:=\frac{1}{2}(\sigma_m+\sigma_{m'}) σ ~ := 2 1 ( σ m + σ m ′ ) , and
K ~ − 1 : = − Δ + 4 e + v m ′ − 4 e ρ ˉ m ′ C σ ~ ; \widetilde{K}^{-1}:=-\Delta+4e+v_{m'}-4e\bar{\rho}_{m'}C_{\tilde{\sigma}}; K − 1 := − Δ + 4 e + v m ′ − 4 e ρ ˉ m ′ C σ ~ ;
by [12 Section 3] there is a bounded radial function Φ ~ \widetilde{\Phi} Φ with K ~ − 1 Φ ~ = v m ′ \widetilde{K}^{-1}\widetilde{\Phi}=v_{m'} K − 1 Φ = v m ′ and 0 ≤ Φ ~ ≤ 1 0\leq\widetilde{\Phi}\leq1 0 ≤ Φ ≤ 1 , and, as for Φ m \Phi_m Φ m , ∇ Φ ~ \nabla\widetilde{\Phi} ∇ Φ is bounded. Subtracting (52) at m m m from (52) at m ′ m' m ′ , and using σ m ′ ∗ σ m ′ − σ m ∗ σ m = 2 δ σ ∗ σ ~ \sigma_{m'}\ast\sigma_{m'}-\sigma_m\ast\sigma_m=2\delta\sigma\ast\widetilde{\sigma} σ m ′ ∗ σ m ′ − σ m ∗ σ m = 2 δ σ ∗ σ and v m ′ − v m = δ m 1 B 1 ( 0 ) v_{m'}-v_m=\delta m\,\mathbb{1}_{B_1(0)} v m ′ − v m = δ m 1 B 1 ( 0 ) , gives
K ~ − 1 δ σ = δ m 1 B 1 ( 0 ) ( 1 − σ m ) + 2 e δ ρ ( σ m ∗ σ m ) , (61) \widetilde{K}^{-1}\delta\sigma=\delta m\,\mathbb{1}_{B_1(0)}(1-\sigma_m)+2e\,\delta\rho\,(\sigma_m\ast\sigma_m), \tag*{(61)} K − 1 δ σ = δ m 1 B 1 ( 0 ) ( 1 − σ m ) + 2 e δ ρ ( σ m ∗ σ m ) , (61)
while subtracting 2 e / ρ ‾ m = m ∫ B 1 ( 0 ) ( 1 − σ m ) 2e/\overline{\rho}_m=m\int_{B_1(0)}(1-\sigma_m) 2 e / ρ m = m ∫ B 1 ( 0 ) ( 1 − σ m ) from 2 e / ρ ‾ m ′ = m ′ ∫ B 1 ( 0 ) ( 1 − σ m ′ ) 2e/\overline{\rho}_{m'}=m'\int_{B_1(0)}(1-\sigma_{m'}) 2 e / ρ m ′ = m ′ ∫ B 1 ( 0 ) ( 1 − σ m ′ ) gives
− 2 e δ ρ ρ ‾ m ρ ‾ m ′ = δ m ∫ B 1 ( 0 ) ( 1 − σ m ) − ∫ v m ′ δ σ . (62) -\frac{2e\,\delta\rho}{\overline{\rho}_m\overline{\rho}_{m'}}=\delta m\int_{B_1(0)}(1-\sigma_m)-\int v_{m'}\,\delta\sigma. \tag*{(62)} − ρ m ρ m ′ 2 e δ ρ = δ m ∫ B 1 ( 0 ) ( 1 − σ m ) − ∫ v m ′ δ σ . (62)
Multiplying K ~ − 1 Φ ~ = v m ′ \widetilde{K}^{-1}\widetilde{\Phi}=v_{m'} K − 1 Φ = v m ′ by δ σ \delta\sigma δ σ and integrating, and moving the operator onto δ σ \delta\sigma δ σ — the Laplacian terms by integration by parts, whose boundary terms vanish as above since δ σ , ∇ δ σ = O ( ∣ x ∣ − 4 ) \delta\sigma,\nabla\delta\sigma=O(|x|^{-4}) δ σ , ∇ δ σ = O ( ∣ x ∣ − 4 ) while Φ ~ , ∇ Φ ~ \widetilde{\Phi},\nabla\widetilde{\Phi} Φ , ∇ Φ are bounded, and the convolution terms by Fubini’s theorem and the evenness of σ ~ \widetilde{\sigma} σ — we find ∫ v m ′ δ σ = ∫ Φ ~ K ~ − 1 δ σ \int v_{m'}\,\delta\sigma=\int\widetilde{\Phi}\,\widetilde{K}^{-1}\delta\sigma ∫ v m ′ δ σ = ∫ Φ K − 1 δ σ , hence by (60)
∫ v m ′ δ σ = ∫ Φ ~ [ δ m 1 B 1 ( 0 ) ( 1 − σ m ) + 2 e δ ρ ( σ m ∗ σ m ) ] . (63) \int v_{m'}\,\delta\sigma=\int\widetilde{\Phi}\left[\delta m\,\mathbb{1}_{B_1(0)}(1-\sigma_m)+2e\,\delta\rho\,(\sigma_m\ast\sigma_m)\right]. \tag*{(63)} ∫ v m ′ δ σ = ∫ Φ [ δ m 1 B 1 ( 0 ) ( 1 − σ m ) + 2 e δ ρ ( σ m ∗ σ m ) ] . (63)
Using ∫ ( σ m ∗ σ m ) = ( ∫ σ m ) 2 = 1 / ρ ‾ m 2 \int(\sigma_m\ast\sigma_m)=(\int\sigma_m)^2=1/\overline{\rho}_m^2 ∫ ( σ m ∗ σ m ) = ( ∫ σ m ) 2 = 1/ ρ m 2 and δ ρ = ρ ‾ m ′ − ρ ‾ m \delta\rho=\overline{\rho}_{m'}-\overline{\rho}_m δ ρ = ρ m ′ − ρ m , we write
− 2 e δ ρ ∫ σ m ∗ σ m + 2 e ( δ ρ ) 2 ρ ‾ m ρ ‾ m ′ = − 2 e δ ρ ρ ‾ m 2 + 2 e δ ρ ( ρ ‾ m ′ − ρ ‾ m ) ρ ‾ m 2 ρ ‾ m ′ = − 2 e δ ρ ρ ‾ m ρ ‾ m ′ . (64) -2e\,\delta\rho\int\sigma_m\ast\sigma_m+\frac{2e(\delta\rho)^2}{\overline{\rho}_m\overline{\rho}_{m'}}=-\frac{2e\,\delta\rho}{\overline{\rho}_m^2}+\frac{2e\,\delta\rho(\overline{\rho}_{m'}-\overline{\rho}_m)}{\overline{\rho}_m^2\overline{\rho}_{m'}}=-\frac{2e\,\delta\rho}{\overline{\rho}_m\overline{\rho}_{m'}}. \tag*{(64)} − 2 e δ ρ ∫ σ m ∗ σ m + ρ m ρ m ′ 2 e ( δ ρ ) 2 = − ρ m 2 2 e δ ρ + ρ m 2 ρ m ′ 2 e δ ρ ( ρ m ′ − ρ m ) = − ρ m ρ m ′ 2 e δ ρ . (64)
so, inserting (62) and (63) into (61), we find
0 = δ m ∫ B 1 ( 0 ) ( 1 − Φ ~ ) ( 1 − σ m ) + 2 e δ ρ [ ∫ ( 1 − Φ ~ ) ( σ m ∗ σ m ) − δ ρ ρ ‾ m 2 ρ ‾ m ′ ] . 0=\delta m\int_{B_1(0)}(1-\widetilde{\Phi})(1-\sigma_m)+2e\,\delta\rho\left[\int(1-\widetilde{\Phi})(\sigma_m\ast\sigma_m)-\frac{\delta\rho}{\overline{\rho}_m^2\overline{\rho}_{m'}}\right]. 0 = δ m ∫ B 1 ( 0 ) ( 1 − Φ ) ( 1 − σ m ) + 2 e δ ρ [ ∫ ( 1 − Φ ) ( σ m ∗ σ m ) − ρ m 2 ρ m ′ δ ρ ] .
Solving for the difference quotient, we arrive at the exact identity
δ ρ δ m = ρ ‾ m ′ − ρ ‾ m m ′ − m = − ∫ B 1 ( 0 ) ( 1 − Φ ~ ) ( 1 − σ m ) 2 e [ ∫ ( 1 − Φ ~ ) ( σ m ∗ σ m ) − δ ρ ρ ‾ m 2 ρ ‾ m ′ ] . (65) \frac{\delta\rho}{\delta m}=\frac{\overline{\rho}_{m'}-\overline{\rho}_m}{m'-m}=-\frac{\int_{B_1(0)}(1-\widetilde{\Phi})(1-\sigma_m)}{2e\left[\int(1-\widetilde{\Phi})(\sigma_m\ast\sigma_m)-\frac{\delta\rho}{\overline{\rho}_m^2\overline{\rho}_{m'}}\right]}. \tag*{(65)} δ m δ ρ = m ′ − m ρ m ′ − ρ m = − 2 e [ ∫ ( 1 − Φ ) ( σ m ∗ σ m ) − ρ m 2 ρ m ′ δ ρ ] ∫ B 1 ( 0 ) ( 1 − Φ ) ( 1 − σ m ) . (65)
Now, following [12 Section 3 and Lemma 7.7] , we can show that as m ′ → m m'\to m m ′ → m , δ ρ → 0 \delta\rho\to0 δ ρ → 0 and Φ ~ → Φ m \widetilde{\Phi}\to\Phi_m Φ → Φ m almost everywhere; (the arguments in [12 Section 3 and Lemma 7.7] apply almost exactly using the fact that the dependence of K − 1 K^{-1} K − 1 on m m m is linear). Since 0 ≤ Φ ~ ≤ 1 0\leq\widetilde{\Phi}\leq1 0 ≤ Φ ≤ 1 , dominated convergence passes (64) to the limit, and eliminating the convolution integral via (59), which gives 2 e ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) = m ρ ‾ m ∫ B 1 ( 0 ) ( 1 − Φ m ) 2e\int(1-\Phi_m)(\sigma_m\ast\sigma_m)=\frac{m}{\overline{\rho}_m}\int_{B_1(0)}(1-\Phi_m) 2 e ∫ ( 1 − Φ m ) ( σ m ∗ σ m ) = ρ m m ∫ B 1 ( 0 ) ( 1 − Φ m ) , we arrive at
∂ m ρ ‾ m = − ρ ‾ m m ∫ B 1 ( 0 ) ( 1 − Φ m ) ( 1 − σ m ) ∫ B 1 ( 0 ) ( 1 − Φ m ) . (66) \partial_m\overline{\rho}_m=-\frac{\overline{\rho}_m}{m}\frac{\int_{B_1(0)}(1-\Phi_m)(1-\sigma_m)}{\int_{B_1(0)}(1-\Phi_m)}. \tag*{(66)} ∂ m ρ m = − m ρ m ∫ B 1 ( 0 ) ( 1 − Φ m ) ∫ B 1 ( 0 ) ( 1 − Φ m ) ( 1 − σ m ) . (66)
We can now prove that ρ ‾ \overline{\rho} ρ is strictly decreasing: 1 − Φ m ≥ 0 1-\Phi_m\geq0 1 − Φ m ≥ 0 does not vanish identically, so by (53) and the strict positivity of the kernel of ( − Δ + 4 e + v m ) − 1 (-\Delta+4e+v_m)^{-1} ( − Δ + 4 e + v m ) − 1 , in fact 1 − Φ m > 0 1-\Phi_m>0 1 − Φ m > 0 everywhere; since moreover ∫ B 1 ( 0 ) ( 1 − σ m ) = 2 e / ( m ρ ‾ m ) > 0 \int_{B_1(0)}(1-\sigma_m)=2e/(m\overline{\rho}_m)>0 ∫ B 1 ( 0 ) ( 1 − σ m ) = 2 e / ( m ρ m ) > 0 , both the numerator and the denominator of (65) are strictly positive, whence ∂ m ρ ‾ m < 0 \partial_m\overline{\rho}_m<0 ∂ m ρ m < 0 .
Comparison with the hard-core density. By Lemma 13 the iterates σ m , n \sigma_{m,n} σ m , n increase in n n n , so ρ ‾ m , n = 2 e / ( m ∫ B 1 ( 0 ) ( 1 − σ m , n ) ) \overline{\rho}_{m,n}=2e/(m\int_{B_1(0)}(1-\sigma_{m,n})) ρ m , n = 2 e / ( m ∫ B 1 ( 0 ) ( 1 − σ m , n )) increases in n n n towards ρ ‾ m \overline{\rho}_m ρ m ; in particular ρ ‾ m ≥ ρ ‾ m , n \overline{\rho}_m\geq\overline{\rho}_{m,n} ρ m ≥ ρ m , n for every n n n . By Lemma 14, ρ ‾ m , n → ρ n \overline{\rho}_{m,n}\to\rho_n ρ m , n → ρ n as m → ∞ m\to\infty m → ∞ , hence lim inf m → ∞ ρ ‾ m ≥ ρ n \liminf_{m\to\infty}\overline{\rho}_m\geq\rho_n lim inf m → ∞ ρ m ≥ ρ n for every n n n , and letting n → ∞ n\to\infty n → ∞ , lim inf m → ∞ ρ ‾ m ≥ ρ h c \liminf_{m\to\infty}\overline{\rho}_m\geq\rho_{\mathrm{hc}} lim inf m → ∞ ρ m ≥ ρ hc . Since ρ ‾ m \overline{\rho}_m ρ m is decreasing in m m m , the limit lim m → ∞ ρ ‾ m \lim_{m\to\infty}\overline{\rho}_m lim m → ∞ ρ m exists and is ≥ ρ h c \geq\rho_{\mathrm{hc}} ≥ ρ hc ; monotonicity then gives ρ ‾ m ≥ ρ h c \overline{\rho}_m\geq\rho_{\mathrm{hc}} ρ m ≥ ρ hc for every m m m .
Lemma 16. For all m ≥ 0 m \ge0 m ≥ 0 , σ m ≥ ω m \sigma_m \ge\omega_m σ m ≥ ω m .
Proof. Induction on m m m . The case m = 0 m=0 m = 0 is trivial. Assuming σ m − 1 ≥ ω m − 1 \sigma_{m-1} \ge\omega_{m-1} σ m − 1 ≥ ω m − 1 and recalling that v m = m 1 B 1 ( 0 ) v_m=m\mathbf{1}_{B_1(0)} v m = m 1 B 1 ( 0 )
( − Δ + 4 e + v m ) ( σ m − ω m ) = 2 e [ ρ ˉ m − 1 σ m − 1 ∗ σ m − 1 − ρ h c ω m − 1 ∗ ω m − 1 ] ≥ 0 , (-\Delta+4e+v_m)(\sigma_m-\omega_m)=2e\left[\bar{\rho}_{m-1}\sigma_{m-1}*\sigma_{m-1}-\rho_{\mathrm{hc}}\omega_{m-1}*\omega_{m-1}\right]\ge0, ( − Δ + 4 e + v m ) ( σ m − ω m ) = 2 e [ ρ ˉ m − 1 σ m − 1 ∗ σ m − 1 − ρ hc ω m − 1 ∗ ω m − 1 ] ≥ 0 ,
because ρ ˉ m − 1 ≥ ρ h c \bar{\rho}_{m-1}\ge\rho_{\mathrm{hc}} ρ ˉ m − 1 ≥ ρ hc and σ m − 1 ≥ ω m − 1 \sigma_{m-1}\ge\omega_{m-1} σ m − 1 ≥ ω m − 1 . Positivity-preservation of ( − Δ + 4 e + v m ) − 1 (-\Delta+4e+v_m)^{-1} ( − Δ + 4 e + v m ) − 1 yields the lemma.
Theorem 17. ∥ σ m − τ ∥ L 1 → 0 \|\sigma_m-\tau\|_{L^1}\to0 ∥ σ m − τ ∥ L 1 → 0 and ρ ˉ m → ρ h c \bar{\rho}_m\to\rho_{\mathrm{hc}} ρ ˉ m → ρ hc as m → ∞ m\to\infty m → ∞ .
Proof. From Lemma 16 we have σ m ≥ ω m \sigma_m\ge\omega_m σ m ≥ ω m . Thus
1 ρ ˉ m = ∫ σ m ≥ ∫ ω m ⟶ 1 ρ h c , \frac{1}{\bar{\rho}_m}=\int\sigma_m\ge\int\omega_m\longrightarrow\frac{1}{\rho_{\mathrm{hc}}}, ρ ˉ m 1 = ∫ σ m ≥ ∫ ω m ⟶ ρ hc 1 ,
by Corollary 12. Hence lim sup m → ∞ ρ ˉ m ≤ ρ h c \limsup_{m\to\infty}\bar{\rho}_m\le\rho_{\mathrm{hc}} lim sup m → ∞ ρ ˉ m ≤ ρ hc , which together with Lemma 15 gives ρ ˉ m → ρ h c \bar{\rho}_m\to\rho_{\mathrm{hc}} ρ ˉ m → ρ hc . For the L 1 L^1 L 1 convergence,
∥ σ m − τ ∥ L 1 ≤ ∥ σ m − ω m ∥ L 1 + ∥ ω m − τ ∥ L 1 . \|\sigma_m-\tau\|_{L^1}\le\|\sigma_m-\omega_m\|_{L^1}+\|\omega_m-\tau\|_{L^1}. ∥ σ m − τ ∥ L 1 ≤ ∥ σ m − ω m ∥ L 1 + ∥ ω m − τ ∥ L 1 .
The second term tends to zero by Corollary 12. Since σ m ≥ ω m \sigma_m\ge\omega_m σ m ≥ ω m ,
∥ σ m − ω m ∥ L 1 = ∫ σ m − ∫ ω m ⟶ 0. \|\sigma_m-\omega_m\|_{L^1}=\int\sigma_m-\int\omega_m\longrightarrow0. ∥ σ m − ω m ∥ L 1 = ∫ σ m − ∫ ω m ⟶ 0.
Hence ∥ σ m − τ ∥ L 1 → 0 \|\sigma_m-\tau\|_{L^1}\to0 ∥ σ m − τ ∥ L 1 → 0 .
Rate of Convergence
Theorem 18 (Proof of Theorem 3 (i)). ∣ ρ ˉ m − ρ h c ∣ = O ( m − 1 / 2 ) |\bar{\rho}_m-\rho_{\mathrm{hc}}|=O(m^{-1/2}) ∣ ρ ˉ m − ρ hc ∣ = O ( m − 1/2 ) .
Proof. From (66) , since the ratio appearing there is an average of 1 − σ m 1-\sigma_m 1 − σ m against the positive weight ( 1 − Φ m ) 1 B 1 ( 0 ) (1-\Phi_m)\mathbf{1}_{B_1(0)} ( 1 − Φ m ) 1 B 1 ( 0 ) ,
∣ ∂ m ρ ˉ m ∣ ≤ ρ ˉ m m sup B 1 ( 0 ) ( 1 − σ m ) . |\partial_m\bar{\rho}_m|\le\frac{\bar{\rho}_m}{m}\sup_{B_1(0)}(1-\sigma_m). ∣ ∂ m ρ ˉ m ∣ ≤ m ρ ˉ m B 1 ( 0 ) sup ( 1 − σ m ) .
We estimate the supremum as in the core estimate of Lemma 14, now at the level of the converged solution. Set ι m = 1 − σ m ≥ 0 \iota_m=1-\sigma_m\ge0 ι m = 1 − σ m ≥ 0 ; on B 1 ( 0 ) B_1(0) B 1 ( 0 ) , (32) at convergence reads
( − Δ + κ 2 ) ι m = 4 e − 2 e ρ ˉ m ( σ m ∗ σ m ) ≡ f , κ = 4 e + m , (-\Delta+\kappa^2)\iota_m=4e-2e\bar{\rho}_m(\sigma_m*\sigma_m)\equiv f,\qquad\kappa=\sqrt{4e+m}, ( − Δ + κ 2 ) ι m = 4 e − 2 e ρ ˉ m ( σ m ∗ σ m ) ≡ f , κ = 4 e + m ,
with 0 ≤ f ≤ 4 e 0\le f\le4e 0 ≤ f ≤ 4 e , since σ m ≤ 1 \sigma_m\le1 σ m ≤ 1 and ρ ˉ m ∫ σ m = 1 \bar{\rho}_m\int\sigma_m=1 ρ ˉ m ∫ σ m = 1 give ρ ˉ m ( σ m ∗ σ m ) ≤ 1 \bar{\rho}_m(\sigma_m*\sigma_m)\le1 ρ ˉ m ( σ m ∗ σ m ) ≤ 1 . Decompose ι m = ι ~ m + h m \iota_m=\tilde{\iota}_m+h_m ι m = ι ~ m + h m , where ι ~ m ∣ ∂ B 1 = 0 \tilde{\iota}_m|_{\partial B_1}=0 ι ~ m ∣ ∂ B 1 = 0 and h m ( r ) = ι m ( 1 ) sinh ( κ r ) r sinh κ h_m(r)=\iota_m(1)\frac{\sinh(\kappa r)}{r\sinh\kappa} h m ( r ) = ι m ( 1 ) r s i n h κ s i n h ( κ r ) is the homogeneous solution with h m ( 1 ) = ι m ( 1 ) h_m(1)=\iota_m(1) h m ( 1 ) = ι m ( 1 ) . Corollary 5 with D = B 1 ( 0 ) D=B_1(0) D = B 1 ( 0 ) , c = κ 2 c=\kappa^2 c = κ 2 , W = 0 W=0 W = 0 , F = 4 e F=4e F = 4 e gives 0 ≤ ι ~ m ≤ 4 e / κ 2 0\le\tilde{\iota}_m\le4e/\kappa^2 0 ≤ ι ~ m ≤ 4 e / κ 2 , while h m ≤ ι m ( 1 ) h_m\le\iota_m(1) h m ≤ ι m ( 1 ) on B 1 ( 0 ) B_1(0) B 1 ( 0 ) because r ↦ sinh ( κ r ) / r r\mapsto\sinh(\kappa r)/r r ↦ sinh ( κ r ) / r is increasing; hence
sup B 1 ( 0 ) ( 1 − σ m ) ≤ ( 1 − σ m ( 1 ) ) + 4 e κ 2 . \sup_{B_1(0)}(1-\sigma_m)\le(1-\sigma_m(1))+\frac{4e}{\kappa^2}. B 1 ( 0 ) sup ( 1 − σ m ) ≤ ( 1 − σ m ( 1 )) + κ 2 4 e .
For the boundary value, the definition of ρ ˉ m \bar{\rho}_m ρ ˉ m gives exactly ∫ B 1 ( 0 ) ι m = 2 e / ( m ρ ˉ m ) ≤ 2 e / ( m ρ h c ) \int_{B_1(0)} \iota_m = 2e/(m\bar{\rho}_m) \le2e/(m\rho_{\mathrm{hc}}) ∫ B 1 ( 0 ) ι m = 2 e / ( m ρ ˉ m ) ≤ 2 e / ( m ρ hc ) , using ρ ˉ m ≥ ρ h c \bar{\rho}_m \ge\rho_{\mathrm{hc}} ρ ˉ m ≥ ρ hc from Lemma 15, while ∫ B 1 ( 0 ) h m ∼ 4 π ι m ( 1 ) / κ \int_{B_1(0)} h_m \sim4\pi\iota_m(1)/\kappa ∫ B 1 ( 0 ) h m ∼ 4 π ι m ( 1 ) / κ as κ → ∞ \kappa\to\infty κ → ∞ , as in Lemma 14. Since ι m = ι ~ m + h m ≥ h m ≥ 0 \iota_m = \tilde{\iota}_m+h_m \ge h_m \ge0 ι m = ι ~ m + h m ≥ h m ≥ 0 , this forces ι m ( 1 ) = O ( κ / m ) = O ( m − 1 / 2 ) \iota_m(1) = O(\kappa/m) = O(m^{-1/2}) ι m ( 1 ) = O ( κ / m ) = O ( m − 1/2 ) , and altogether
sup B 1 ( 0 ) ( 1 − σ m ) = O ( m − 1 / 2 ) . \sup_{B_1(0)}(1-\sigma_m)=O(m^{-1/2}). B 1 ( 0 ) sup ( 1 − σ m ) = O ( m − 1/2 ) .
Since ρ ˉ m \bar{\rho}_m ρ ˉ m is decreasing, ρ ˉ m ≤ ρ ˉ 1 \bar{\rho}_m \le\bar{\rho}_1 ρ ˉ m ≤ ρ ˉ 1 for m ≥ 1 m \ge1 m ≥ 1 , so ∣ ∂ m ρ ˉ m ∣ ≤ C m − 3 / 2 |\partial_m\bar{\rho}_m| \le Cm^{-3/2} ∣ ∂ m ρ ˉ m ∣ ≤ C m − 3/2 . For any M > m M>m M > m , the fundamental theorem of calculus gives ρ ˉ M − ρ ˉ m = ∫ m M ∂ m ′ ρ ˉ m ′ d m ′ \bar{\rho}_M-\bar{\rho}_m=\int_m^M \partial_{m'}\bar{\rho}_{m'}\,\mathrm{d}m' ρ ˉ M − ρ ˉ m = ∫ m M ∂ m ′ ρ ˉ m ′ d m ′ ; letting M → ∞ M\to\infty M → ∞ , the left side tends to ρ h c − ρ ˉ m \rho_{\mathrm{hc}}-\bar{\rho}_m ρ hc − ρ ˉ m by Theorem 17, while the right side converges absolutely by the bound above. Hence
∣ ρ ˉ m − ρ h c ∣ ≤ ∫ m ∞ C ( m ′ ) − 3 / 2 d m ′ = 2 C m . |\bar{\rho}_m-\rho_{\mathrm{hc}}|\le\int_m^\infty C(m')^{-3/2}\,\mathrm{d}m'=\frac{2C}{\sqrt{m}}. ∣ ρ ˉ m − ρ hc ∣ ≤ ∫ m ∞ C ( m ′ ) − 3/2 d m ′ = m 2 C .
The LHY Formula
The scattering solution ϕ m \phi_m ϕ m of v m v_m v m is defined by
( − Δ + v m ) ϕ m = v m , ϕ m ( x ) → 0 as ∣ x ∣ → ∞ ; (-\Delta+v_m)\phi_m=v_m,\qquad\phi_m(x)\to0\text{ as }|x|\to\infty; ( − Δ + v m ) ϕ m = v m , ϕ m ( x ) → 0 as ∣ x ∣ → ∞ ;
equivalently, ψ m : = 1 − ϕ m \psi_m:=1-\phi_m ψ m := 1 − ϕ m is the zero-energy scattering solution, − Δ ψ m + v m ψ m = 0 -\Delta\psi_m+v_m\psi_m=0 − Δ ψ m + v m ψ m = 0 with ψ m → 1 \psi_m\to1 ψ m → 1 at infinity. For v m = m 1 B 1 ( 0 ) v_m=m\mathbb{1}_{B_1(0)} v m = m 1 B 1 ( 0 ) it is explicitly done by using the boundary conditions that require ∂ ψ m ( 0 ) = 0 \partial\psi_m(0)=0 ∂ ψ m ( 0 ) = 0 (due to differentiability and radial symmetry), and that ψ m \psi_m ψ m and ∂ m ψ \partial_m\psi ∂ m ψ be continuous at the boundary of the unit ball. This gives ψ m ( r ) = sinh ( m r ) r m cosh m \psi_m(r)=\frac{\sinh(\sqrt{m}r)}{r\sqrt{m}\cosh\sqrt{m}} ψ m ( r ) = r m c o s h m s i n h ( m r ) for r ≤ 1 r\le1 r ≤ 1 and ψ m ( r ) = 1 − a 0 ( m ) / r \psi_m(r)=1-a_0(m)/r ψ m ( r ) = 1 − a 0 ( m ) / r for r ≥ 1 r\ge1 r ≥ 1 , where matching at r = 1 r=1 r = 1 gives the scattering length
a 0 ( m ) = 1 − tanh m m . (67) a_0(m)=1-\frac{\tanh\sqrt{m}}{\sqrt{m}}. \tag*{(67)} a 0 ( m ) = 1 − m tanh m . (67)
which increases to 1 1 1 as m → ∞ m\to\infty m → ∞ ; moreover 0 ≤ ϕ m ≤ 1 0\le\phi_m\le1 0 ≤ ϕ m ≤ 1 .
We adopt the Fourier transform convention
f ^ ( k ) = ∫ e i k ⋅ x f ( x ) d x , f ( x ) = 1 ( 2 π ) 3 ∫ e − i k ⋅ x f ^ ( k ) d k . \hat{f}(k)=\int e^{ik\cdot x}f(x)\,\mathrm{d}x,\qquad f(x)=\frac{1}{(2\pi)^3}\int e^{-ik\cdot x}\hat{f}(k)\,\mathrm{d}k. f ^ ( k ) = ∫ e ik ⋅ x f ( x ) d x , f ( x ) = ( 2 π ) 3 1 ∫ e − ik ⋅ x f ^ ( k ) d k .
For each m > 0 m>0 m > 0 , define
S m ( k ) = ρ ˉ m 2 e ∫ e i k ⋅ x ( 1 − σ m ( x ) ) v m ( x ) d x . (68) S_m(k)=\frac{\bar{\rho}_m}{2e}\int e^{ik\cdot x}(1-\sigma_m(x))v_m(x)\,\mathrm{d}x. \tag*{(68)} S m ( k ) = 2 e ρ ˉ m ∫ e ik ⋅ x ( 1 − σ m ( x )) v m ( x ) d x . (68)
and let w m w_m w m be the decaying solution of − Δ w m = ( 1 − σ m ) v m -\Delta w_m=(1-\sigma_m)v_m − Δ w m = ( 1 − σ m ) v m , that is, w ^ m ( k ) = 2 e S m ( k ) / ( ρ ˉ m k 2 ) \hat{w}_m(k)=2eS_m(k)/(\bar{\rho}_m k^2) w ^ m ( k ) = 2 e S m ( k ) / ( ρ ˉ m k 2 ) . Fourier transforming (32) at convergence gives the quadratic equation 2 e ρ ˉ m σ ^ m 2 − ( k 2 + 4 e ) σ ^ m + 2 e ρ ˉ m S m = 0 2e\bar{\rho}_m\hat{\sigma}_m^2-(k^2+4e)\hat{\sigma}_m+\frac{2e}{\bar{\rho}_m}S_m=0 2 e ρ ˉ m σ ^ m 2 − ( k 2 + 4 e ) σ ^ m + ρ ˉ m 2 e S m = 0 ; selecting the root that vanishes as ∣ k ∣ → ∞ |k|\to\infty ∣ k ∣ → ∞ yields [12 Eq. (1.43)]
σ ^ m ( k ) = 1 ρ ˉ m ( k 2 4 e + 1 − ( k 2 4 e + 1 ) 2 − S m ( k ) ) . (69) \hat{\sigma}_m(k)=\frac{1}{\bar{\rho}_m}\left(\frac{k^2}{4e}+1-\sqrt{\left(\frac{k^2}{4e}+1\right)^2-S_m(k)}\right). \tag*{(69)} σ ^ m ( k ) = ρ ˉ m 1 4 e k 2 + 1 − ( 4 e k 2 + 1 ) 2 − S m ( k ) . (69)
(As a consistency check, note that σ ^ m ( 0 ) = 1 / ρ ˉ m \hat{\sigma}_m(0)=1/\bar{\rho}_m σ ^ m ( 0 ) = 1/ ρ ˉ m , which is the normalization ρ ˉ m ∫ σ m = 1 \bar{\rho}_m\int\sigma_m=1 ρ ˉ m ∫ σ m = 1 .)
Lemma 19. S m ( k ) S_m(k) S m ( k ) is real, ∣ S m ( k ) ∣ ≤ 1 |S_m(k)| \le1 ∣ S m ( k ) ∣ ≤ 1 for all k k k , m m m , and S m ( 0 ) = 1 S_m(0)=1 S m ( 0 ) = 1 .
Proof. ( 1 − σ m ) v m (1-\sigma_m)v_m ( 1 − σ m ) v m is non-negative and radial, so S m S_m S m is real with ∣ S m ( k ) ∣ ≤ S m ( 0 ) = ρ ˉ m 2 e ∫ ( 1 − σ m ) v m = 1 |S_m(k)| \le S_m(0) = \frac{\bar{\rho}_m}{2e}\int(1-\sigma_m)v_m = 1 ∣ S m ( k ) ∣ ≤ S m ( 0 ) = 2 e ρ ˉ m ∫ ( 1 − σ m ) v m = 1 , the last equality follows from the definition of ρ ˉ m \bar{\rho}_m ρ ˉ m (cf. [12 Sec. 5] ). □ \square □
Lemma 20. Let g ( k ~ , s ) : = k ~ 2 + 1 − ( k ~ 2 + 1 ) 2 − s − s 2 k ~ 2 g(\tilde{k},s):=\tilde{k}^{2}+1-\sqrt{(\tilde{k}^{2}+1)^{2}-s}-\frac{s}{2\tilde{k}^{2}} g ( k ~ , s ) := k ~ 2 + 1 − ( k ~ 2 + 1 ) 2 − s − 2 k ~ 2 s and h ( k ~ ) : = g ( k ~ , − 1 ) − g ( k ~ , 1 ) h(\tilde{k}):=g(\tilde{k},-1)-g(\tilde{k},1) h ( k ~ ) := g ( k ~ , − 1 ) − g ( k ~ , 1 ) . Then h ∈ L 1 ( R 3 ) h\in L^{1}(\mathbb{R}^{3}) h ∈ L 1 ( R 3 ) , and for all x ∈ R 3 x\in\mathbb{R}^{3} x ∈ R 3 , m > 0 m>0 m > 0 ,
∣ σ m ( x ) − w m ( x ) ∣ ≤ C 0 e 3 / 2 ρ ˉ m , C 0 : = 1 π 3 ∫ h ( k ~ ) d 3 k ~ . |\sigma_m(x)-w_m(x)|\le\frac{C_0e^{3/2}}{\bar{\rho}_m},\qquad C_0:=\frac{1}{\pi^{3}}\int h(\tilde{k})\,d^{3}\tilde{k}. ∣ σ m ( x ) − w m ( x ) ∣ ≤ ρ ˉ m C 0 e 3/2 , C 0 := π 3 1 ∫ h ( k ~ ) d 3 k ~ . Proof. Set k ~ = k / ( 2 e ) \tilde{k}=k/(2\sqrt{e}) k ~ = k / ( 2 e ) . By (68), the definition of w ^ m \widehat{w}_m w m ,
σ m ( x ) − w m ( x ) = e 3 / 2 ρ ˉ m π 3 ∫ e − 2 i e k ~ ⋅ x g ( k ~ , S m ( 2 e k ~ ) ) d 3 k ~ . (70) \sigma_m(x)-w_m(x)=\frac{e^{3/2}}{\bar{\rho}_m\pi^{3}}\int e^{-2i\sqrt{e}\tilde{k}\cdot x}g(\tilde{k},S_m(2\sqrt{e}\tilde{k}))\,d^{3}\tilde{k}. \tag*{(70)} σ m ( x ) − w m ( x ) = ρ ˉ m π 3 e 3/2 ∫ e − 2 i e k ~ ⋅ x g ( k ~ , S m ( 2 e k ~ )) d 3 k ~ . (70) (cf. [12 Eq. (5.13)] for the analogous representation). The map s ↦ g ( k ~ , s ) s\mapsto g(\tilde{k},s) s ↦ g ( k ~ , s ) is decreasing on [ − 1 , 1 ] [-1,1] [ − 1 , 1 ] , since ∂ s g = 1 2 ( k ~ 2 + 1 ) 2 − s − 1 2 k ~ 2 ≤ 0 \partial_sg=\frac{1}{2\sqrt{(\tilde{k}^{2}+1)^{2}-s}}-\frac{1}{2\tilde{k}^{2}}\le0 ∂ s g = 2 ( k ~ 2 + 1 ) 2 − s 1 − 2 k ~ 2 1 ≤ 0 , with g ( k ~ , 0 ) = 0 g(\tilde{k},0)=0 g ( k ~ , 0 ) = 0 ; hence, by Lemma 19, ∣ g ( k ~ , S m ) ∣ ≤ max { − g ( k ~ , 1 ) , g ( k ~ , − 1 ) } ≤ h ( k ~ ) |g(\tilde{k},S_m)|\le\max\{-g(\tilde{k},1),g(\tilde{k},-1)\}\le h(\tilde{k}) ∣ g ( k ~ , S m ) ∣ ≤ max { − g ( k ~ , 1 ) , g ( k ~ , − 1 )} ≤ h ( k ~ ) (note that g ( k ~ , − 1 ) ≥ 0 ≥ g ( k ~ , 1 ) g(\tilde{k},-1)\ge0\ge g(\tilde{k},1) g ( k ~ , − 1 ) ≥ 0 ≥ g ( k ~ , 1 ) ) (cf. the analogous two-sided bound [12 Eq. (5.14)] ). As k ~ → 0 \tilde{k}\to0 k ~ → 0 , h ( k ~ ) = O ( k ~ − 2 ) h(\tilde{k})=O(\tilde{k}^{-2}) h ( k ~ ) = O ( k ~ − 2 ) ; as k ~ → ∞ \tilde{k}\to\infty k ~ → ∞ , h ( k ~ ) = O ( k ~ − 4 ) h(\tilde{k})=O(\tilde{k}^{-4}) h ( k ~ ) = O ( k ~ − 4 ) ; so h ∈ L 1 ( R 3 ) h\in L^{1}(\mathbb{R}^{3}) h ∈ L 1 ( R 3 ) , and the claim follows by the triangle inequality. □ \square □
Lemma 21. (See also [11] Eq. (4.21 and 4.40))
e − 2 π ρ ˉ m a 0 ( m ) = ρ ˉ m 2 ∫ ( w m − σ m ) ( 1 − ϕ m ) v m d x . (71) e-2\pi\bar{\rho}_ma_0(m)=\frac{\bar{\rho}_m}{2}\int(w_m-\sigma_m)(1-\phi_m)v_m\,dx. \tag*{(71)} e − 2 π ρ ˉ m a 0 ( m ) = 2 ρ ˉ m ∫ ( w m − σ m ) ( 1 − ϕ m ) v m d x . (71) Proof. From e = ρ ˉ m 2 ∫ ( 1 − σ m ) v m e=\frac{\bar{\rho}_m}{2}\int(1-\sigma_m)v_m e = 2 ρ ˉ m ∫ ( 1 − σ m ) v m and 2 π ρ ˉ m a 0 ( m ) = ρ ˉ m 2 ∫ ( 1 − ϕ m ) v m 2\pi\bar{\rho}_ma_0(m)=\frac{\bar{\rho}_m}{2}\int(1-\phi_m)v_m 2 π ρ ˉ m a 0 ( m ) = 2 ρ ˉ m ∫ ( 1 − ϕ m ) v m ,
e − 2 π ρ ˉ m a 0 ( m ) = ρ ˉ m 2 ∫ ( ϕ m − σ m ) v m . e-2\pi\bar{\rho}_ma_0(m)=\frac{\bar{\rho}_m}{2}\int(\phi_m-\sigma_m)v_m. e − 2 π ρ ˉ m a 0 ( m ) = 2 ρ ˉ m ∫ ( ϕ m − σ m ) v m . Set ξ m = w m − ϕ m \xi_m=w_m-\phi_m ξ m = w m − ϕ m . Then ( − Δ + v m ) ξ m = − ( σ m − w m ) v m (-\Delta+v_m)\xi_m=-(\sigma_m-w_m)v_m ( − Δ + v m ) ξ m = − ( σ m − w m ) v m . Using the self-adjointness of ( − Δ + v m ) − 1 (-\Delta+v_m)^{-1} ( − Δ + v m ) − 1 and ( − Δ + v m ) − 1 v m = ϕ m (-\Delta+v_m)^{-1}v_m=\phi_m ( − Δ + v m ) − 1 v m = ϕ m , we obtain ∫ ξ m v m = ∫ ( w m − σ m ) ϕ m v m \int\xi_mv_m=\int(w_m-\sigma_m)\phi_mv_m ∫ ξ m v m = ∫ ( w m − σ m ) ϕ m v m . The result follows from ϕ m − σ m = ( w m − σ m ) − ξ m \phi_m-\sigma_m=(w_m-\sigma_m)-\xi_m ϕ m − σ m = ( w m − σ m ) − ξ m (cf. [11 Eq. (4.21 and 4.40)] ). □ \square □
Proof of Theorem 1. Let A : = 32 2 15 π 2 = − π − 3 ∫ R 3 g ( k ~ , 1 ) d 3 k ~ A:=\frac{32\sqrt{2}}{15\pi^{2}}=-\pi^{-3}\int_{\mathbb{R}^{3}}g(\tilde{k},1)\,d^{3}\tilde{k} A := 15 π 2 32 2 = − π − 3 ∫ R 3 g ( k ~ , 1 ) d 3 k ~ (with ( k ~ 2 + 1 ) 2 − 1 = k ~ k ~ 2 + 2 \sqrt{(\tilde{k}^{2}+1)^{2}-1}=\tilde{k}\sqrt{\tilde{k}^{2}+2} ( k ~ 2 + 1 ) 2 − 1 = k ~ k ~ 2 + 2 the radial integral is elementary; cf. the low-density computation in [11 ] ), and define
ρ ˉ m f e , m ( x ) : = σ m ( x ) − w m ( x ) + A e 3 / 2 ρ ˉ m . (72) \sqrt{\bar{\rho}_m}f_{e,m}(x):=\sigma_m(x)-w_m(x)+\frac{Ae^{3/2}}{\bar{\rho}_m}. \tag*{(72)} ρ ˉ m f e , m ( x ) := σ m ( x ) − w m ( x ) + ρ ˉ m A e 3/2 . (72)
By the representation Eq. (70) and the definition of A A A ,
f e , m ( x ) = e 3 / 2 ρ ˉ m 3 / 2 π 3 ∫ R 3 ( e − 2 i e k ~ ⋅ x g ( k ~ , S m ( 2 e k ~ ) ) − g ( k ~ , 1 ) ) d 3 k ~ . (73) f_{e,m}(x)=\frac{e^{3/2}}{\bar{\rho}_m^{3/2}\pi^{3}}\int_{\mathbb{R}^{3}}\left(e^{-2i\sqrt{e}\tilde{k}\cdot x}g(\tilde{k},S_m(2\sqrt{e}\tilde{k}))-g(\tilde{k},1)\right)\,d^{3}\tilde{k}. \tag*{(73)} f e , m ( x ) = ρ ˉ m 3/2 π 3 e 3/2 ∫ R 3 ( e − 2 i e k ~ ⋅ x g ( k ~ , S m ( 2 e k ~ )) − g ( k ~ , 1 ) ) d 3 k ~ . (73)
We claim that
λ ( e ) : = π − 3 ∫ R 3 sup m > 0 , ∣ x ∣ ≤ 1 ∣ e − 2 i e k ~ ⋅ x g ( k ~ , S m ( 2 e k ~ ) ) − g ( k ~ , 1 ) ∣ d 3 k ~ ⟶ 0 ( e → 0 ) . \lambda(e):=\pi^{-3}\int_{\mathbb{R}^{3}}\sup_{m>0,\ |x|\le1}\left|e^{-2i\sqrt{e}\tilde{k}\cdot x}g(\tilde{k},S_m(2\sqrt{e}\tilde{k}))-g(\tilde{k},1)\right|\,d^{3}\tilde{k}\longrightarrow0\qquad(e\to0). λ ( e ) := π − 3 ∫ R 3 m > 0 , ∣ x ∣ ≤ 1 sup e − 2 i e k ~ ⋅ x g ( k ~ , S m ( 2 e k ~ )) − g ( k ~ , 1 ) d 3 k ~ ⟶ 0 ( e → 0 ) .
Indeed, d ν m ( y ) : = ρ ˉ m 2 ( 1 − σ m ( y ) ) v m ( y ) d y d\nu_m(y) := \frac{\bar{\rho}_m}{2}(1-\sigma_m(y))v_m(y)\,dy d ν m ( y ) := 2 ρ ˉ m ( 1 − σ m ( y )) v m ( y ) d y is a probability measure supported in B 1 ( 0 ) B_1(0) B 1 ( 0 ) by Lemma 19 , and S m ( k ) = ∫ B 1 ( 0 ) e i k ⋅ y d ν m ( y ) S_m(k) = \int_{B_1(0)} e^{ik\cdot y}\,d\nu_m(y) S m ( k ) = ∫ B 1 ( 0 ) e ik ⋅ y d ν m ( y ) . In addition, ∣ e − 2 i e k ~ ⋅ x − 1 ∣ ≤ 2 e ∣ k ~ ∣ \lvert e^{-2i\sqrt{e}\,\tilde{k}\cdot x}-1\rvert\le2\sqrt{e}\lvert\tilde{k}\rvert ∣ e − 2 i e k ~ ⋅ x − 1 ∣ ≤ 2 e ∣ k ~ ∣ , so ∣ S m ( 2 e k ~ ) − 1 ∣ ≤ 2 e ∣ k ~ ∣ \lvert S_m(2\sqrt{e}\,\tilde{k})-1\rvert\le2\sqrt{e}\lvert\tilde{k}\rvert ∣ S m ( 2 e k ~ ) − 1 ∣ ≤ 2 e ∣ k ~ ∣ uniformly in m m m and ∣ x ∣ ≤ 1 \lvert x\rvert\le1 ∣ x ∣ ≤ 1 . Since s ↦ g ( k ~ , s ) s\mapsto g(\tilde{k},s) s ↦ g ( k ~ , s ) is continuous on [ − 1 , 1 ] [-1,1] [ − 1 , 1 ] for each fixed k ~ ≠ 0 \tilde{k}\ne0 k ~ = 0 , the integrand in the definition of λ ( e ) \lambda(e) λ ( e ) tends to zero pointwise in k ~ \tilde{k} k ~ as e → 0 e\to0 e → 0 , and it is bounded by h ( k ~ ) h(\tilde{k}) h ( k ~ ) (using the monotonicity of s ↦ g ( k ~ , s ) s\mapsto g(\tilde{k},s) s ↦ g ( k ~ , s ) and the fact that g ( k ~ , − 1 ) ≥ 0 ≥ g ( k ~ , 1 ) g(\tilde{k},-1)\ge0\ge g(\tilde{k},1) g ( k ~ , − 1 ) ≥ 0 ≥ g ( k ~ , 1 ) ) with h ∈ L 1 ( R 3 ) h\in L^1(\mathbb{R}^3) h ∈ L 1 ( R 3 ) as in Lemma 20 ; dominated convergence gives λ ( e ) → 0 \lambda(e)\to0 λ ( e ) → 0 .
Next we bound e / ρ ˉ m e/\bar{\rho}_m e / ρ ˉ m uniformly at low density. By Lemma 13, ρ ˉ m ≥ ρ ˉ m , 1 \bar{\rho}_m\ge\bar{\rho}_{m,1} ρ ˉ m ≥ ρ ˉ m , 1 , and from the explicit solution σ m , 1 \sigma_{m,1} σ m , 1 in the proof of Lemma 14, with α = 2 e \alpha=2\sqrt{e} α = 2 e and κ = 4 e + m \kappa=\sqrt{4e+m} κ = 4 e + m ,
2 e ρ ˉ m , 1 = m ∫ B 1 ( 0 ) ( 1 − σ m , 1 ) = 4 π m ( α 2 3 κ 2 + ( 1 + α ) m ( κ cosh κ − sinh κ ) κ 4 ( κ cosh κ + α sinh κ ) ) ≤ 4 π ( α 2 3 + 1 + α ) . \frac{2e}{\bar{\rho}_{m,1}}=m\int_{B_1(0)}(1-\sigma_{m,1})=4\pi m\left(\frac{\alpha^2}{3\kappa^2}+\frac{(1+\alpha)m(\kappa\cosh\kappa-\sinh\kappa)}{\kappa^4(\kappa\cosh\kappa+\alpha\sinh\kappa)}\right)\le4\pi\left(\frac{\alpha^2}{3}+1+\alpha\right). ρ ˉ m , 1 2 e = m ∫ B 1 ( 0 ) ( 1 − σ m , 1 ) = 4 π m ( 3 κ 2 α 2 + κ 4 ( κ cosh κ + α sinh κ ) ( 1 + α ) m ( κ cosh κ − sinh κ ) ) ≤ 4 π ( 3 α 2 + 1 + α ) .
using m / κ 2 < 1 m/\kappa^2<1 m / κ 2 < 1 and 0 ≤ ( κ cosh κ − sinh κ ) / ( κ cosh κ + α sinh κ ) ≤ 1 0\le(\kappa\cosh\kappa-\sinh\kappa)/(\kappa\cosh\kappa+\alpha\sinh\kappa)\le1 0 ≤ ( κ cosh κ − sinh κ ) / ( κ cosh κ + α sinh κ ) ≤ 1 . Hence there are e 0 > 0 e_0>0 e 0 > 0 and c > 0 c>0 c > 0 , independent of m m m , such that ρ ˉ m ≥ c e \bar{\rho}_m\ge ce ρ ˉ m ≥ ce for all 0 < e ≤ e 0 0<e\le e_0 0 < e ≤ e 0 and all m > 0 m>0 m > 0 . Combining this with (73) ,
sup m > 0 sup ∣ x ∣ ≤ 1 ∣ f e , m ( x ) ∣ ≤ c − 3 / 2 λ ( e ) ⟶ 0 ( e → 0 ) . \sup_{m>0}\sup_{\lvert x\rvert\le1}\lvert f_{e,m}(x)\rvert\le c^{-3/2}\lambda(e)\longrightarrow0\qquad(e\to0). m > 0 sup ∣ x ∣ ≤ 1 sup ∣ f e , m ( x )∣ ≤ c − 3/2 λ ( e ) ⟶ 0 ( e → 0 ) .
Substituting (72) into the identity of Lemma 21 gives
e − 2 π ρ ˉ m a 0 ( m ) = A e 3 / 2 2 ∫ ( 1 − ϕ m ) v m − ρ ˉ m 3 / 2 2 ∫ f e , m ( 1 − ϕ m ) v m . e-2\pi\bar{\rho}_m a_0(m)=\frac{Ae^{3/2}}{2}\int(1-\phi_m)v_m-\frac{\bar{\rho}_m^{3/2}}{2}\int f_{e,m}(1-\phi_m)v_m. e − 2 π ρ ˉ m a 0 ( m ) = 2 A e 3/2 ∫ ( 1 − ϕ m ) v m − 2 ρ ˉ m 3/2 ∫ f e , m ( 1 − ϕ m ) v m .
Since ∫ ( 1 − ϕ m ) v m = 4 π a 0 ( m ) \int(1-\phi_m)v_m=4\pi a_0(m) ∫ ( 1 − ϕ m ) v m = 4 π a 0 ( m ) (cf. [11 Lemma 4.2] ), the first term equals 64 2 a 0 ( m ) 15 π e 3 / 2 \frac{64\sqrt{2}a_0(m)}{15\pi}e^{3/2} 15 π 64 2 a 0 ( m ) e 3/2 , while
∣ ρ ˉ m 3 / 2 2 ∫ f e , m ( 1 − ϕ m ) v m ∣ ≤ 2 π a 0 ( m ) ρ ˉ m 3 / 2 sup ∣ x ∣ ≤ 1 ∣ f e , m ( x ) ∣ , \left\lvert\frac{\bar{\rho}_m^{3/2}}{2}\int f_{e,m}(1-\phi_m)v_m\right\rvert\le2\pi a_0(m)\bar{\rho}_m^{3/2}\sup_{\lvert x\rvert\le1}\lvert f_{e,m}(x)\rvert, 2 ρ ˉ m 3/2 ∫ f e , m ( 1 − ϕ m ) v m ≤ 2 π a 0 ( m ) ρ ˉ m 3/2 ∣ x ∣ ≤ 1 sup ∣ f e , m ( x )∣ ,
Define R m ( e ) : = − ρ ˉ m 3 / 2 2 ∫ f e , m ( 1 − ϕ m ) v m d x R_m(e):=-\frac{\bar{\rho}_m^{3/2}}{2}\int f_{e,m}(1-\phi_m)v_m\,dx R m ( e ) := − 2 ρ ˉ m 3/2 ∫ f e , m ( 1 − ϕ m ) v m d x , the second term above. Since a 0 ( m ) ≤ 1 a_0(m)\le1 a 0 ( m ) ≤ 1 , due to Eq. (67) , and sup ∣ x ∣ ≤ 1 ∣ f e , m ∣ ≤ e 3 / 2 ρ ˉ m − 3 / 2 λ ( e ) \sup_{\lvert x\rvert\le1}\lvert f_{e,m}\rvert\le e^{3/2}\bar{\rho}_m^{-3/2}\lambda(e) sup ∣ x ∣ ≤ 1 ∣ f e , m ∣ ≤ e 3/2 ρ ˉ m − 3/2 λ ( e ) , due to Eq. (73) , the bound just displayed gives ∣ R m ( e ) ∣ ≤ 2 π ρ ˉ m 3 / 2 ⋅ e 3 / 2 ρ ˉ m − 3 / 2 λ ( e ) = 2 π λ ( e ) e 3 / 2 \lvert R_m(e)\rvert\le2\pi\bar{\rho}_m^{3/2}\cdot e^{3/2}\bar{\rho}_m^{-3/2}\lambda(e)=2\pi\lambda(e)e^{3/2} ∣ R m ( e )∣ ≤ 2 π ρ ˉ m 3/2 ⋅ e 3/2 ρ ˉ m − 3/2 λ ( e ) = 2 π λ ( e ) e 3/2 , and we conclude that for all m > 0 m>0 m > 0 and e ≤ e 0 e\le e_0 e ≤ e 0 ,
e = 2 π ρ ˉ m a 0 ( m ) + 64 2 a 0 ( m ) 15 π e 3 / 2 + R m ( e ) , ∣ R m ( e ) ∣ ≤ 2 π λ ( e ) e 3 / 2 , (74) e=2\pi\bar{\rho}_m a_0(m)+\frac{64\sqrt{2}a_0(m)}{15\pi}e^{3/2}+R_m(e),\qquad\lvert R_m(e)\rvert\le2\pi\lambda(e)e^{3/2}, \tag*{(74)} e = 2 π ρ ˉ m a 0 ( m ) + 15 π 64 2 a 0 ( m ) e 3/2 + R m ( e ) , ∣ R m ( e )∣ ≤ 2 π λ ( e ) e 3/2 , (74)
where λ ( e ) → 0 \lambda(e)\to0 λ ( e ) → 0 as e → 0 e\to0 e → 0 , λ \lambda λ does not depend on m m m , and λ ( e ) ≤ C 0 \lambda(e)\le C_0 λ ( e ) ≤ C 0 for all e e e , with C 0 C_0 C 0 as in Lemma 20 , since the integrand defining λ \lambda λ is bounded by h h h . Now fix m 0 > 0 m_0>0 m 0 > 0 and restrict to m ≥ m 0 m\ge m_0 m ≥ m 0 , so that a 0 ( m ) ≥ a 0 ( m 0 ) > 0 a_0(m)\ge a_0(m_0)>0 a 0 ( m ) ≥ a 0 ( m 0 ) > 0 by the monotonicity of a 0 a_0 a 0 in Eq. (67) ; this lower bound on a 0 ( m ) a_0(m) a 0 ( m ) is the only place where m 0 m_0 m 0 enters.
The uniform expansion. Define ϵ m ( e ) \epsilon_m(e) ϵ m ( e ) by e 2 π ρ ˉ m a 0 ( m ) = 1 + ϵ m ( e ) \frac{e}{2\pi\bar{\rho}_m a_0(m)}=1+\epsilon_m(e) 2 π ρ ˉ m a 0 ( m ) e = 1 + ϵ m ( e ) . Since a 0 ( m ) ≤ 1 a_0(m)\le1 a 0 ( m ) ≤ 1 and λ ( e ) ≤ C 0 \lambda(e)\le C_0 λ ( e ) ≤ C 0 , Eq. (74) gives ∣ e − 2 π ρ ˉ m a 0 ( m ) ∣ ≤ C 1 e 3 / 2 \lvert e-2\pi\bar{\rho}_m a_0(m)\rvert\le C_1e^{3/2} ∣ e − 2 π ρ ˉ m a 0 ( m )∣ ≤ C 1 e 3/2 with C 1 : = 64 2 15 π + 2 π C 0 C_1:=\frac{64\sqrt{2}}{15\pi}+2\pi C_0 C 1 := 15 π 64 2 + 2 π C 0 , and dividing by 2 π ρ ˉ m a 0 ( m ) ≥ 2 π c e a 0 ( m 0 ) 2\pi\bar{\rho}_m a_0(m)\ge2\pi c e a_0(m_0) 2 π ρ ˉ m a 0 ( m ) ≥ 2 π ce a 0 ( m 0 ) , which uses ρ ˉ m ≥ c e \bar{\rho}_m\ge ce ρ ˉ m ≥ ce from above and a 0 ( m ) ≥ a 0 ( m 0 ) a_0(m)\ge a_0(m_0) a 0 ( m ) ≥ a 0 ( m 0 ) ,
∣ ϵ m ( e ) ∣ ≤ C 2 e ( m ≥ m 0 , e ≤ e 0 ) , C 2 : = C 1 2 π c a 0 ( m 0 ) . \lvert\epsilon_m(e)\rvert\le C_2\sqrt{e}\qquad(m\ge m_0,\ e\le e_0),\qquad C_2:=\frac{C_1}{2\pi c a_0(m_0)}. ∣ ϵ m ( e )∣ ≤ C 2 e ( m ≥ m 0 , e ≤ e 0 ) , C 2 := 2 π c a 0 ( m 0 ) C 1 .
Dividing (74) by 2 π ρ ˉ m a 0 ( m ) 2\pi\bar{\rho}_m a_0(m) 2 π ρ ˉ m a 0 ( m ) and writing e 3 / 2 = ( 2 π ρ ˉ m a 0 ( m ) ) 3 / 2 ( 1 + ϵ m ( e ) ) 3 / 2 e^{3/2}=(2\pi\bar{\rho}_m a_0(m))^{3/2}(1+\epsilon_m(e))^{3/2} e 3/2 = ( 2 π ρ ˉ m a 0 ( m ) ) 3/2 ( 1 + ϵ m ( e ) ) 3/2 ,
e 2 π ρ ˉ m a 0 ( m ) = 1 + 64 2 a 0 ( m ) 15 π 2 π ρ ˉ m a 0 ( m ) ( 1 + ϵ m ( e ) ) 3 / 2 + R m ( e ) 2 π ρ ˉ m a 0 ( m ) . \frac{e}{2\pi\bar{\rho}_m a_0(m)}=1+\frac{64\sqrt{2}a_0(m)}{15\pi}\sqrt{2\pi\bar{\rho}_m a_0(m)}(1+\epsilon_m(e))^{3/2}+\frac{R_m(e)}{2\pi\bar{\rho}_m a_0(m)}. 2 π ρ ˉ m a 0 ( m ) e = 1 + 15 π 64 2 a 0 ( m ) 2 π ρ ˉ m a 0 ( m ) ( 1 + ϵ m ( e ) ) 3/2 + 2 π ρ ˉ m a 0 ( m ) R m ( e ) .
Since 64 2 15 π 2 π = 128 15 π \frac{64\sqrt{2}}{15\pi}\sqrt{2\pi}=\frac{128}{15\sqrt{\pi}} 15 π 64 2 2 π = 15 π 128 , ∣ ( 1 + ϵ ) 3 / 2 − 1 ∣ ≤ 2 ∣ ϵ ∣ \lvert(1+\epsilon)^{3/2}-1\rvert\leq2\lvert\epsilon\rvert ∣( 1 + ϵ ) 3/2 − 1 ∣ ≤ 2 ∣ ϵ ∣ for ∣ ϵ ∣ ≤ 1 2 \lvert\epsilon\rvert\leq\frac{1}{2} ∣ ϵ ∣ ≤ 2 1 (which holds for e ≤ e 0 e\leq e_0 e ≤ e 0 , shrinking e 0 e_0 e 0 if necessary), a 0 ( m 0 ) ≤ a 0 ( m ) ≤ 1 a_0(m_0)\leq a_0(m)\leq1 a 0 ( m 0 ) ≤ a 0 ( m ) ≤ 1 , and ∣ R m ( e ) ∣ ≤ 2 π λ ( e ) e 3 / 2 ≤ 2 π λ ( e ) c − 3 / 2 ρ ˉ m 3 / 2 \lvert R_m(e)\rvert\leq2\pi\lambda(e)e^{3/2}\leq2\pi\lambda(e)c^{-3/2}\bar{\rho}_m^{3/2} ∣ R m ( e )∣ ≤ 2 π λ ( e ) e 3/2 ≤ 2 π λ ( e ) c − 3/2 ρ ˉ m 3/2 by e ≤ ρ ˉ m / c e\leq\bar{\rho}_m/c e ≤ ρ ˉ m / c , we obtain, for all m ≥ m 0 m\geq m_0 m ≥ m 0 and e ≤ e 0 e\leq e_0 e ≤ e 0 ,
∣ e 2 π ρ ˉ m a 0 ( m ) − 1 − 128 15 π ρ ˉ m a 0 ( m ) 3 / 2 ∣ ≤ Λ ( e ) ρ ˉ m , Λ ( e ) : = 256 C 2 15 π e + c − 3 / 2 a 0 ( m 0 ) λ ( e ) , (75) \left\lvert\frac{e}{2\pi\bar{\rho}_m a_0(m)}-1-\frac{128}{15\sqrt{\pi}}\sqrt{\bar{\rho}_m}a_0(m)^{3/2}\right\rvert\leq\Lambda(e)\sqrt{\bar{\rho}_m},\qquad\Lambda(e):=\frac{256C_2}{15\sqrt{\pi}}\sqrt{e}+\frac{c^{-3/2}}{a_0(m_0)}\lambda(e), \tag*{(75)} 2 π ρ ˉ m a 0 ( m ) e − 1 − 15 π 128 ρ ˉ m a 0 ( m ) 3/2 ≤ Λ ( e ) ρ ˉ m , Λ ( e ) := 15 π 256 C 2 e + a 0 ( m 0 ) c − 3/2 λ ( e ) , (75)
where Λ ( e ) → 0 \Lambda(e)\to0 Λ ( e ) → 0 as e → 0 e\to0 e → 0 and Λ \Lambda Λ does not depend on m m m . This is the uniform expansion asserted in part (i) of Theorem 3 .
Passage to the hard core. Fix e ≤ e 0 e\leq e_0 e ≤ e 0 and let m → ∞ m\to\infty m → ∞ in (75) : ρ ˉ m → ρ h c \bar{\rho}_m\to\rho_{\mathrm{hc}} ρ ˉ m → ρ hc by Theorem 17, a 0 ( m ) → 1 a_0(m)\to1 a 0 ( m ) → 1 , and the right-hand side does not depend on m m m . Hence
∣ e 2 π ρ h c − 1 − 128 15 π ρ h c ∣ ≤ Λ ( e ) ρ h c for all e ≤ e 0 , \left\lvert\frac{e}{2\pi\rho_{\mathrm{hc}}}-1-\frac{128}{15\sqrt{\pi}}\sqrt{\rho_{\mathrm{hc}}}\right\rvert\leq\Lambda(e)\sqrt{\rho_{\mathrm{hc}}}\qquad\text{for all }e\leq e_0, 2 π ρ hc e − 1 − 15 π 128 ρ hc ≤ Λ ( e ) ρ hc for all e ≤ e 0 ,
and passing to the limit in ρ ˉ m ≥ c e \bar{\rho}_m\geq ce ρ ˉ m ≥ ce gives ρ h c ≥ c e \rho_{\mathrm{hc}}\geq ce ρ hc ≥ ce , so ρ h c → 0 \rho_{\mathrm{hc}}\to0 ρ hc → 0 forces e → 0 e\to0 e → 0 and Λ ( e ) → 0 \Lambda(e)\to0 Λ ( e ) → 0 as ρ h c → 0 \rho_{\mathrm{hc}}\to0 ρ hc → 0 ; multiplying by 2 π ρ h c 2\pi\rho_{\mathrm{hc}} 2 π ρ hc ,
e = 2 π ρ h c ( 1 + 128 15 π ρ h c + o ( ρ h c ) ) ( ρ h c → 0 ) , e=2\pi\rho_{\mathrm{hc}}\left(1+\frac{128}{15\sqrt{\pi}}\sqrt{\rho_{\mathrm{hc}}}+o\left(\sqrt{\rho_{\mathrm{hc}}}\right)\right)\qquad(\rho_{\mathrm{hc}}\to0), e = 2 π ρ hc ( 1 + 15 π 128 ρ hc + o ( ρ hc ) ) ( ρ hc → 0 ) ,
as claimed.
Condensate Fraction
Soft-core condensate fraction
Until now we have fixed the energy e e e . For μ ≥ 0 \mu\geq0 μ ≥ 0 , let ( σ μ , m , e μ , m ) (\sigma_{\mu,m},e_{\mu,m}) ( σ μ , m , e μ , m ) solve the perturbed soft-core equation
( − Δ + 2 μ + 4 e μ , m + v m ) σ μ , m = v m + 2 e μ , m ρ ˉ m ( σ μ , m ∗ σ μ , m ) , e μ , m = ρ ˉ m 2 ∫ v m ( 1 − σ μ , m ) , (76) (-\Delta+2\mu+4e_{\mu,m}+v_m)\sigma_{\mu,m}=v_m+2e_{\mu,m}\bar{\rho}_m(\sigma_{\mu,m}\ast\sigma_{\mu,m}),\qquad e_{\mu,m}=\frac{\bar{\rho}_m}{2}\int v_m(1-\sigma_{\mu,m}), \tag*{(76)} ( − Δ + 2 μ + 4 e μ , m + v m ) σ μ , m = v m + 2 e μ , m ρ ˉ m ( σ μ , m ∗ σ μ , m ) , e μ , m = 2 ρ ˉ m ∫ v m ( 1 − σ μ , m ) , (76)
where the density ρ ˉ m \bar{\rho}_m ρ ˉ m is held fixed at its unperturbed value and e μ , m e_{\mu,m} e μ , m is determined by the energy relation; for each fixed m m m the solution exists and is differentiable in μ \mu μ by [12 Section 5] . At μ = 0 \mu=0 μ = 0 this reduces to the unperturbed equation. The energy e μ , m e_{\mu,m} e μ , m of (75) omits the constant condensate contribution of the observable, so that, consistently with (22) , its μ \mu μ -derivative is the depletion ; we set
ϑ μ , m : = ∂ μ e μ , m , ϑ m : = ϑ 0 , m , η m : = 1 − ϑ m , (77) \vartheta_{\mu,m}:=\partial_\mu e_{\mu,m},\qquad\vartheta_m:=\vartheta_{0,m},\qquad\eta_m:=1-\vartheta_m, \tag*{(77)} ϑ μ , m := ∂ μ e μ , m , ϑ m := ϑ 0 , m , η m := 1 − ϑ m , (77)
the soft-core depletion and condensate fraction.
Hard-core condensate fraction
For μ ≥ 0 \mu\ge0 μ ≥ 0 , let ( τ μ , e μ , h c ) (\tau_\mu,e_{\mu,\mathrm{hc}}) ( τ μ , e μ , hc ) solve the perturbed hard-core equation:
Δ τ μ = ( 4 e μ , h c + 2 μ ) τ μ − 2 e μ , h c ρ h c ( τ μ ∗ τ μ ) on { ∣ x ∣ > 1 } , τ μ = 1 on B 1 , ρ h c ∫ τ μ = 1 , (78) \Delta\tau_\mu=(4e_{\mu,\mathrm{hc}}+2\mu)\tau_\mu-2e_{\mu,\mathrm{hc}}\rho_{\mathrm{hc}}(\tau_\mu\ast\tau_\mu)\quad\text{on }\{|x|>1\},\quad\tau_\mu=1\text{ on }B_1,\quad\rho_{\mathrm{hc}}\int\tau_\mu=1, \tag*{(78)} Δ τ μ = ( 4 e μ , hc + 2 μ ) τ μ − 2 e μ , hc ρ hc ( τ μ ∗ τ μ ) on { ∣ x ∣ > 1 } , τ μ = 1 on B 1 , ρ hc ∫ τ μ = 1 , (78)
with e μ , h c e_{\mu,\mathrm{hc}} e μ , hc determined by the integrated relation (12) . Analogously, the hard-core depletion ϑ h c \vartheta_{\mathrm{hc}} ϑ hc and condensate fraction η h c \eta_{\mathrm{hc}} η hc are
ϑ h c : = ∂ μ e μ , h c ∣ μ = 0 , η h c : = 1 − ϑ h c . (79) \vartheta_{\mathrm{hc}}:=\left.\partial_\mu e_{\mu,\mathrm{hc}}\right|_{\mu=0},\qquad\eta_{\mathrm{hc}}:=1-\vartheta_{\mathrm{hc}}. \tag*{(79)} ϑ hc := ∂ μ e μ , hc ∣ μ = 0 , η hc := 1 − ϑ hc . (79)
Uniform estimates and limit exchange
We first compute the depletion at μ = 0 \mu=0 μ = 0 . We rely on [12 Section 5] , whose results apply to v = v m v=v_m v = v m for each fixed m m m since ( 1 + ∣ x ∣ 4 ) v m ∈ L 1 ( R 3 ) ∩ L 2 ( R 3 ) (1+|x|^4)v_m\in L^1(\mathbb{R}^3)\cap L^2(\mathbb{R}^3) ( 1 + ∣ x ∣ 4 ) v m ∈ L 1 ( R 3 ) ∩ L 2 ( R 3 ) ; what we add is the uniformity in m m m . Define
K m : = ( − Δ + 4 e + v m − 4 e ρ ˉ m C σ m ) − 1 , Y m : = ( − Δ + 4 e − 4 e ρ ˉ m C σ m ) − 1 K_m:=\left(-\Delta+4e+v_m-4e\bar{\rho}_m C_{\sigma_m}\right)^{-1},\qquad Y_m:=\left(-\Delta+4e-4e\bar{\rho}_m C_{\sigma_m}\right)^{-1} K m := ( − Δ + 4 e + v m − 4 e ρ ˉ m C σ m ) − 1 , Y m := ( − Δ + 4 e − 4 e ρ ˉ m C σ m ) − 1
Φ m : = K m [ v m ] , ξ m : = Y m [ ρ ˉ m σ m ] , \Phi_m:=K_m[v_m],\qquad\xi_m:=Y_m[\bar{\rho}_m\sigma_m], Φ m := K m [ v m ] , ξ m := Y m [ ρ ˉ m σ m ] ,
the operators K e K_e K e , Y e Y_e Y e and functions K e v K_ev K e v , ξ \xi ξ of [12 (1.8), (1.40), (5.11)] . By [12 Theorem 1.6, (1.30)] ,
ϑ m = N m 1 − 2 N m + D m , N m : = ρ ˉ m ∫ Φ m σ m d x , D m : = ρ ˉ m 2 ∫ Φ m ( σ m ∗ σ m ) d x (80) \vartheta_m=\frac{N_m}{1-2N_m+D_m},\qquad N_m:=\bar{\rho}_m\int\Phi_m\sigma_m\,dx,\qquad D_m:=\bar{\rho}_m^2\int\Phi_m(\sigma_m\ast\sigma_m)\,dx \tag*{(80)} ϑ m = 1 − 2 N m + D m N m , N m := ρ ˉ m ∫ Φ m σ m d x , D m := ρ ˉ m 2 ∫ Φ m ( σ m ∗ σ m ) d x (80)
and by [12 (5.10)] , N m = ∫ v m ( 1 − Φ m ) ξ m d x N_m=\int v_m(1-\Phi_m)\xi_m\,dx N m = ∫ v m ( 1 − Φ m ) ξ m d x .
Fourier representation of ξ m \xi_m ξ m . With S m S_m S m as in (68) , k = 2 e κ k=2\sqrt{e}\,\kappa k = 2 e κ and F ( κ , s ) : = κ 2 + 1 ( κ 2 + 1 ) 2 − s F(\kappa,s):=\dfrac{\kappa^2+1}{\sqrt{(\kappa^2+1)^2-s}} F ( κ , s ) := ( κ 2 + 1 ) 2 − s κ 2 + 1 , [12 (5.13), (5.16)] read
ξ ^ m ( 2 e κ ) = F ( κ , S m ( 2 e κ ) ) − 1 4 e , ξ m ( x ) = e 4 π 3 ∫ R 3 e − 2 i e κ ⋅ x ( F ( κ , S m ( 2 e κ ) ) − 1 ) d 3 κ . (81) \widehat{\xi}_m(2\sqrt{e}\,\kappa)=\frac{F(\kappa,S_m(2\sqrt{e}\,\kappa))-1}{4e},\qquad\xi_m(x)=\frac{\sqrt{e}}{4\pi^3}\int_{\mathbb{R}^3}e^{-2i\sqrt{e}\,\kappa\cdot x}\bigl(F(\kappa,S_m(2\sqrt{e}\,\kappa))-1\bigr)\,d^3\kappa. \tag*{(81)} ξ m ( 2 e κ ) = 4 e F ( κ , S m ( 2 e κ )) − 1 , ξ m ( x ) = 4 π 3 e ∫ R 3 e − 2 i e κ ⋅ x ( F ( κ , S m ( 2 e κ )) − 1 ) d 3 κ . (81)
By [12 (5.14)] , ∣ F ( κ , s ) − 1 ∣ ≤ h 1 ( κ ) : = F ( κ , 1 ) − F ( κ , − 1 ) |F(\kappa,s)-1|\le h_1(\kappa):=F(\kappa,1)-F(\kappa,-1) ∣ F ( κ , s ) − 1∣ ≤ h 1 ( κ ) := F ( κ , 1 ) − F ( κ , − 1 ) for ∣ s ∣ ≤ 1 |s|\le1 ∣ s ∣ ≤ 1 , with h 1 ∈ L 1 ( R 3 ) h_1\in L^1(\mathbb{R}^3) h 1 ∈ L 1 ( R 3 ) , and by [12 (5.15)] , 1 4 π 3 ∫ ( F ( κ , 1 ) − 1 ) d 3 κ = 2 3 π 2 \dfrac{1}{4\pi^3}\int(F(\kappa,1)-1)\,d^3\kappa=\dfrac{\sqrt{2}}{3\pi^2} 4 π 3 1 ∫ ( F ( κ , 1 ) − 1 ) d 3 κ = 3 π 2 2 . Hence sup x ∣ ξ m ( x ) ∣ ≤ c 2 e \sup_x|\xi_m(x)|\le c_2\sqrt{e} sup x ∣ ξ m ( x ) ∣ ≤ c 2 e for all m m m , with c 2 : = 1 4 π 3 ∫ h 1 d 3 κ c_2:=\dfrac{1}{4\pi^3}\int h_1\,d^3\kappa c 2 := 4 π 3 1 ∫ h 1 d 3 κ , and
ξ m ( x ) = 2 e 3 π 2 + r m ( x ) , sup m > 0 ∣ x ∣ ≤ 1 ∣ r m ( x ) ∣ ≤ e Ω ( e ) , (82) \xi_m(x)=\frac{\sqrt{2e}}{3\pi^2}+r_m(x),\qquad\sup_{\substack{m>0\\ |x|\le1}}|r_m(x)|\le\sqrt{e}\,\Omega(e), \tag*{(82)} ξ m ( x ) = 3 π 2 2 e + r m ( x ) , m > 0 ∣ x ∣ ≤ 1 sup ∣ r m ( x ) ∣ ≤ e Ω ( e ) , (82)
where Ω ( e ) : = 1 4 π 3 sup m > 0 ∣ x ∣ ≤ 1 ∫ ∣ e − 2 i e κ ⋅ x ( F ( κ , S m ( 2 e κ ) ) − 1 ) − ( F ( κ , 1 ) − 1 ) ∣ d 3 κ \Omega(e):=\dfrac{1}{4\pi^3}\sup_{\substack{m>0\\ |x|\le1}}\int\left|e^{-2i\sqrt{e}\,\kappa\cdot x}\bigl(F(\kappa,S_m(2\sqrt{e}\,\kappa))-1\bigr)-(F(\kappa,1)-1)\right|\,d^3\kappa Ω ( e ) := 4 π 3 1 sup m > 0 ∣ x ∣ ≤ 1 ∫ e − 2 i e κ ⋅ x ( F ( κ , S m ( 2 e κ )) − 1 ) − ( F ( κ , 1 ) − 1 ) d 3 κ . For each fixed m m m the corresponding integral without the supremum over m m m tends to zero as e → 0 e\to0 e → 0 [12 (5.12), (5.16)–(5.19)] . The same proof gives Ω ( e ) → 0 \Omega(e)\to0 Ω ( e ) → 0 , since neither of its ingredients depends on m m m : the integrand is bounded by 2 h 1 2h_1 2 h 1 , and it tends to zero pointwise by ∣ e − 2 i e κ ⋅ x − 1 ∣ ≤ 2 e ∣ κ ∣ |e^{-2i\sqrt{e}\,\kappa\cdot x}-1|\le2\sqrt{e}|\kappa| ∣ e − 2 i e κ ⋅ x − 1∣ ≤ 2 e ∣ κ ∣ for ∣ x ∣ ≤ 1 |x|\le1 ∣ x ∣ ≤ 1 and by [12 (5.18)] , 0 ≤ F ( κ , 1 ) − F ( κ , S m ) ≤ ( κ 2 + 1 ) ( 1 − S m ( 2 e κ ) ) 2 ( ( κ 2 + 1 ) 2 − 1 ) 3 / 2 0\le F(\kappa,1)-F(\kappa,S_m)\le\dfrac{(\kappa^2+1)(1-S_m(2\sqrt{e}\,\kappa))}{2((\kappa^2+1)^2-1)^{3/2}} 0 ≤ F ( κ , 1 ) − F ( κ , S m ) ≤ 2 (( κ 2 + 1 ) 2 − 1 ) 3/2 ( κ 2 + 1 ) ( 1 − S m ( 2 e κ )) , together with 1 − S m ( k ) ≤ ∣ k ∣ 2 / 2 1-S_m(k)\le|k|^2/2 1 − S m ( k ) ≤ ∣ k ∣ 2 /2 (the measure ρ ˉ m 2 e ( 1 − σ m ) v m d x \dfrac{\bar{\rho}_m}{2e}(1-\sigma_m)v_m\,dx 2 e ρ ˉ m ( 1 − σ m ) v m d x being a probability measure on B 1 ( 0 ) B_1(0) B 1 ( 0 ) ).
Lemma 22. Uniformly in m > 0 m > 0 m > 0 , for e ≤ e 0 e \le e_0 e ≤ e 0 , 0 ≤ D m ≤ C e 1 / 4 0 \le D_m \le C e^{1/4} 0 ≤ D m ≤ C e 1/4 and ∣ N m ∣ ≤ C e 1 / 2 |N_m| \le C e^{1/2} ∣ N m ∣ ≤ C e 1/2 .
Consequently
ϑ m = ∫ v m ( 1 − Φ m ) ξ m d x + O ( e 3 / 4 ) . (83) \vartheta_m = \int v_m(1-\Phi_m)\,\xi_m\,dx + O(e^{3/4}). \tag*{(83)} ϑ m = ∫ v m ( 1 − Φ m ) ξ m d x + O ( e 3/4 ) . (83)
Proof. This is similar to [12 (5.9)–(5.10)] except it is uniform in ∥ v m ∥ 1 \|v_m\|_1 ∥ v m ∥ 1 . By (60) and ∫ σ m ∗ σ m = ρ ˉ m − 2 \int\sigma_m * \sigma_m = \bar{\rho}_m^{-2} ∫ σ m ∗ σ m = ρ ˉ m − 2 , ∫ v m ( 1 − Φ m ) = 2 e ρ ˉ m ( 1 − D m ) ≤ 2 e ρ ˉ m \int v_m(1-\Phi_m) = \frac{2e}{\bar{\rho}_m}(1-D_m) \le\frac{2e}{\bar{\rho}_m} ∫ v m ( 1 − Φ m ) = ρ ˉ m 2 e ( 1 − D m ) ≤ ρ ˉ m 2 e . By the resolvent identity [12 (1.41)] , Φ m = Y m [ v m ( 1 − Φ m ) ] \Phi_m = Y_m[v_m(1-\Phi_m)] Φ m = Y m [ v m ( 1 − Φ m )] , and by the proof of [12 Lemma 7.3] , which uses only (69) and ∣ S m ∣ ≤ 1 |S_m| \le1 ∣ S m ∣ ≤ 1 , ∥ Y m f ∥ 2 ≤ C e − 1 / 4 ∥ f ∥ 1 \|Y_m f\|_2 \le C e^{-1/4}\|f\|_1 ∥ Y m f ∥ 2 ≤ C e − 1/4 ∥ f ∥ 1 with C C C independent of m m m ; hence ∥ Φ m ∥ 2 ≤ C e − 1 / 4 2 e ρ ˉ m \|\Phi_m\|_2 \le C e^{-1/4}\frac{2e}{\bar{\rho}_m} ∥ Φ m ∥ 2 ≤ C e − 1/4 ρ ˉ m 2 e .
Using ∥ σ m ∗ σ m ∥ 2 ≤ ∥ σ m ∥ 1 ∥ σ m ∥ 2 \|\sigma_m * \sigma_m\|_2 \le\|\sigma_m\|_1\|\sigma_m\|_2 ∥ σ m ∗ σ m ∥ 2 ≤ ∥ σ m ∥ 1 ∥ σ m ∥ 2 , ρ ˉ m ∥ σ m ∥ 1 = 1 \bar{\rho}_m\|\sigma_m\|_1 = 1 ρ ˉ m ∥ σ m ∥ 1 = 1 and ∥ σ m ∥ 2 ≤ ρ ˉ m − 1 / 2 \|\sigma_m\|_2 \le\bar{\rho}_m^{-1/2} ∥ σ m ∥ 2 ≤ ρ ˉ m − 1/2 , we get D m ≤ ρ ˉ m ∥ Φ m ∥ 2 ≤ C e 3 / 4 ρ ˉ m − 1 / 2 ≤ C e 1 / 4 D_m \le\sqrt{\bar{\rho}_m}\|\Phi_m\|_2 \le C e^{3/4}\bar{\rho}_m^{-1/2} \le C e^{1/4} D m ≤ ρ ˉ m ∥ Φ m ∥ 2 ≤ C e 3/4 ρ ˉ m − 1/2 ≤ C e 1/4 , by ρ ˉ m ≥ c e \bar{\rho}_m \ge ce ρ ˉ m ≥ ce . Next, ∣ N m ∣ ≤ ∫ v m ( 1 − Φ m ) sup x ∣ ξ m ∣ ≤ 2 e ρ ˉ m c 2 e ≤ C e 1 / 2 |N_m| \le\int v_m(1-\Phi_m)\sup_x|\xi_m| \le\frac{2e}{\bar{\rho}_m} c_2\sqrt{e} \le C e^{1/2} ∣ N m ∣ ≤ ∫ v m ( 1 − Φ m ) sup x ∣ ξ m ∣ ≤ ρ ˉ m 2 e c 2 e ≤ C e 1/2 . Finally ϑ m − N m = N m ( 2 N m − D m ) / ( 1 − 2 N m + D m ) = O ( e 3 / 4 ) \vartheta_m-N_m = N_m(2N_m-D_m)/(1-2N_m+D_m)=O(e^{3/4}) ϑ m − N m = N m ( 2 N m − D m ) / ( 1 − 2 N m + D m ) = O ( e 3/4 ) . □
Combining (83) , (82) and ∫ v m ( 1 − Φ m ) = 2 e ρ ˉ m ( 1 − D m ) \int v_m(1-\Phi_m) = \frac{2e}{\bar{\rho}_m}(1-D_m) ∫ v m ( 1 − Φ m ) = ρ ˉ m 2 e ( 1 − D m ) with 2 e ρ ˉ m = 4 π a 0 ( m ) ( 1 + ϵ m ( e ) ) \frac{2e}{\bar{\rho}_m}=4\pi a_0(m)(1+\epsilon_m(e)) ρ ˉ m 2 e = 4 π a 0 ( m ) ( 1 + ϵ m ( e )) from § 7 , where 4 π a 0 ( m ) = ∫ v m ( 1 − ϕ m ) 4\pi a_0(m)=\int v_m(1-\phi_m) 4 π a 0 ( m ) = ∫ v m ( 1 − ϕ m ) [11 Lemma 4.2] , we obtain, uniformly in m m m ,
ϑ m = 2 e 3 π 2 ⋅ 4 π a 0 ( m ) ( 1 + O ( e 1 / 4 ) ) + O ( e Ω ( e ) ) + O ( e 3 / 4 ) = 4 2 3 π e a 0 ( m ) + o ( e ) , (84) \vartheta_m = \frac{\sqrt{2e}}{3\pi^2}\cdot4\pi a_0(m)(1+O(e^{1/4}))+O(\sqrt{e}\,\Omega(e))+O(e^{3/4}) = \frac{4\sqrt{2}}{3\pi}\sqrt{e}\,a_0(m)+o(\sqrt{e}), \tag*{(84)} ϑ m = 3 π 2 2 e ⋅ 4 π a 0 ( m ) ( 1 + O ( e 1/4 )) + O ( e Ω ( e )) + O ( e 3/4 ) = 3 π 4 2 e a 0 ( m ) + o ( e ) , (84)
which is [12 (5.25)] with the error uniform in m m m .
Lemma 23 (Uniform convergence of the energy). There exists K > 0 K > 0 K > 0 independent of μ \mu μ and m m m such that for all μ ∈ [ 0 , μ 0 ] \mu\in[0,\mu_0] μ ∈ [ 0 , μ 0 ] and m ≥ m 0 m \ge m_0 m ≥ m 0 ,
∣ e μ , m − e μ , h c ∣ ≤ K m . (85) |e_{\mu,m}-e_{\mu,\mathrm{hc}}| \le\frac{K}{\sqrt{m}}. \tag*{(85)} ∣ e μ , m − e μ , hc ∣ ≤ m K . (85)
Proof. For each fixed μ \mu μ , the proofs of Theorems 17 and 18 apply verbatim to (76) and (78) , with 4 e 4e 4 e replaced by 4 e μ , m + 2 μ 4e_{\mu,m}+2\mu 4 e μ , m + 2 μ in the operator and 2 e 2e 2 e by 2 e μ , m 2e_{\mu,m} 2 e μ , m in the nonlinearity, and give ∣ e μ , m − e μ , h c ∣ ≤ K ( μ ) m − 1 / 2 |e_{\mu,m}-e_{\mu,\mathrm{hc}}| \le K(\mu)m^{-1/2} ∣ e μ , m − e μ , hc ∣ ≤ K ( μ ) m − 1/2 . Since ρ ˉ m \bar{\rho}_m ρ ˉ m does not depend on μ \mu μ , the constant K ( μ ) K(\mu) K ( μ ) depends on μ \mu μ only through e μ , m e_{\mu,m} e μ , m , e μ , h c e_{\mu,\mathrm{hc}} e μ , hc and the shift 2 μ 2\mu 2 μ , and it is bounded as long as these remain in a compact subset of ( 0 , ∞ ) (0,\infty) ( 0 , ∞ ) . This is the case: by the mean value theorem, e μ , m = e + μ ϑ μ ∗ , m e_{\mu,m}=e+\mu\vartheta_{\mu^*,m} e μ , m = e + μ ϑ μ ∗ , m for some μ ∗ ∈ ( 0 , μ ) \mu^* \in(0,\mu) μ ∗ ∈ ( 0 , μ ) , and ∣ ϑ μ ∗ , m ∣ ≤ ∣ ϑ m ∣ + ω ( μ 0 ) |\vartheta_{\mu^*,m}| \le|\vartheta_m|+\omega(\mu_0) ∣ ϑ μ ∗ , m ∣ ≤ ∣ ϑ m ∣ + ω ( μ 0 ) by Lemma 24 below, with ∣ ϑ m ∣ ≤ C e |\vartheta_m| \le C\sqrt{e} ∣ ϑ m ∣ ≤ C e by (84) , so that ∣ e μ , m − e ∣ ≤ μ 0 ( C e + ω ( μ 0 ) ) |e_{\mu,m}-e| \le\mu_0(C\sqrt{e}+\omega(\mu_0)) ∣ e μ , m − e ∣ ≤ μ 0 ( C e + ω ( μ 0 )) uniformly in m ≥ m 0 m \ge m_0 m ≥ m 0 ; and e μ , h c e_{\mu,\mathrm{hc}} e μ , hc remains in a compact interval for μ ∈ [ 0 , μ 0 ] \mu\in[0,\mu_0] μ ∈ [ 0 , μ 0 ] by continuity of the hard-core energy in μ \mu μ . Hence K : = sup μ ∈ [ 0 , μ 0 ] K ( μ ) < ∞ K:=\sup_{\mu\in[0,\mu_0]}K(\mu)<\infty K := sup μ ∈ [ 0 , μ 0 ] K ( μ ) < ∞ . □
Lemma 24 (Equicontinuity in μ \mu μ ). There is a function ω \omega ω with ω ( δ ) → 0 \omega(\delta)\to0 ω ( δ ) → 0 as δ → 0 \delta\to0 δ → 0 , independent of m m m , such that ∣ ϑ μ , m − ϑ ν , m ∣ ≤ ω ( ∣ μ − ν ∣ ) |\vartheta_{\mu,m}-\vartheta_{\nu,m}| \le\omega(|\mu-\nu|) ∣ ϑ μ , m − ϑ ν , m ∣ ≤ ω ( ∣ μ − ν ∣ ) for all μ , ν ∈ [ 0 , μ 0 ] \mu,\nu\in[0,\mu_0] μ , ν ∈ [ 0 , μ 0 ] and m ≥ m 0 m\ge m_0 m ≥ m 0 .
Proof. For μ ∈ [ 0 , μ 0 ] \mu\in[0,\mu_0] μ ∈ [ 0 , μ 0 ] let K μ , m K_{\mu,m} K μ , m , Y μ , m Y_{\mu,m} Y μ , m , Φ μ , m \Phi_{\mu,m} Φ μ , m , ξ μ , m \xi_{\mu,m} ξ μ , m , N μ , m N_{\mu,m} N μ , m and D μ , m D_{\mu,m} D μ , m be defined as K m K_m K m , Y m Y_m Y m , Φ m \Phi_m Φ m , ξ m \xi_m ξ m , N m N_m N m and D m D_m D m were before (80) , with 4 e 4e 4 e replaced by 4 e μ , m + 2 μ 4e_{\mu,m}+2\mu 4 e μ , m + 2 μ in the operators and e e e by e μ , m e_{\mu,m} e μ , m elsewhere. Differentiating (76) in μ \mu μ at fixed ρ ˉ m \bar{\rho}_m ρ ˉ m and pairing with Φ μ , m \Phi_{\mu,m} Φ μ , m exactly as for (80) gives the exact formula
ϑ μ , m = N μ , m 1 − 2 N μ , m + D μ , m , N μ , m = ∫ v m ( 1 − Φ μ , m ) ξ μ , m d x , \vartheta_{\mu,m}=\frac{N_{\mu,m}}{1-2N_{\mu,m}+D_{\mu,m}},\qquad N_{\mu,m}=\int v_m(1-\Phi_{\mu,m})\,\xi_{\mu,m}\,dx, ϑ μ , m = 1 − 2 N μ , m + D μ , m N μ , m , N μ , m = ∫ v m ( 1 − Φ μ , m ) ξ μ , m d x ,
so it suffices to show that N μ , m N_{\mu,m} N μ , m and D μ , m D_{\mu,m} D μ , m are continuous in μ \mu μ uniformly in m m m , and that ∣ N μ , m ∣ + D μ , m ≤ 1 4 |N_{\mu,m}|+D_{\mu,m}\le\frac14 ∣ N μ , m ∣ + D μ , m ≤ 4 1 for μ 0 \mu_0 μ 0 small. The Fourier representation (81) holds at parameter $\mu with the rescaling k = 2 e ~ μ , m k = 2\sqrt{\widetilde{e}_{\mu,m}} k = 2 e μ , m , e ~ μ , m : = e μ , m + μ / 2 \widetilde{e}_{\mu,m} := e_{\mu,m} + \mu/2 e μ , m := e μ , m + μ /2 , the prefactor e ~ μ , m 3 / 2 / ( 4 π 3 e μ , m ) \widetilde{e}_{\mu,m}^{3/2}/(4\pi^{3}e_{\mu,m}) e μ , m 3/2 / ( 4 π 3 e μ , m ) , and S m S_m S m replaced by θ μ , m S μ , m \theta_{\mu,m}S_{\mu,m} θ μ , m S μ , m , where θ μ , m : = ( e μ , m / e ~ μ , m ) 2 \theta_{\mu,m} := (e_{\mu,m}/\widetilde{e}_{\mu,m})^{2} θ μ , m := ( e μ , m / e μ , m ) 2 and S μ , m S_{\mu,m} S μ , m is (67) for the perturbed solution; the dominator [12 (5.14)] and the bound 1 − S μ , m ( k ) ≤ ∣ k ∣ 2 / 2 1-S_{\mu,m}(k) \leq\lvert k\rvert^{2}/2 1 − S μ , m ( k ) ≤ ∣ k ∣ 2 /2 are unchanged. Hence μ ↦ ξ μ , m \mu\mapsto\xi_{\mu,m} μ ↦ ξ μ , m is continuous in L ∞ ( B 1 ( 0 ) ) L^{\infty}(B_{1}(0)) L ∞ ( B 1 ( 0 )) uniformly in m m m , by dominated convergence exactly as in (82) . The same holds for μ ↦ Φ μ , m \mu\mapsto\Phi_{\mu,m} μ ↦ Φ μ , m in L 2 L^{2} L 2 and for D μ , m D_{\mu,m} D μ , m , by the resolvent identity and the L 1 → L 2 L^{1} \to L^{2} L 1 → L 2 bound of [12 Lemma 7.3] , whose constant depends on μ \mu μ only through e μ , m e_{\mu,m} e μ , m , together with the mass bound
∫ v m ( 1 − Φ μ , m ) ≤ 2 ( e μ , m + μ 2 + 4 μ e μ , m ) ρ ‾ m . \int v_m(1-\Phi_{\mu,m}) \leq\frac{2(e_{\mu,m}+\sqrt{\mu^{2}+4\mu e_{\mu,m}})}{\overline{\rho}_m}. ∫ v m ( 1 − Φ μ , m ) ≤ ρ m 2 ( e μ , m + μ 2 + 4 μ e μ , m ) .
obtained as (59) was, from K μ , m − 1 1 = v m + 2 μ 2 + 4 μ e μ , m K_{\mu,m}^{-1}1=v_m+2\sqrt{\mu^{2}+4\mu e_{\mu,m}} K μ , m − 1 1 = v m + 2 μ 2 + 4 μ e μ , m . The smallness ∣ N μ , m ∣ + D μ , m ≤ 1 4 \lvert N_{\mu,m}\rvert+D_{\mu,m}\leq\frac14 ∣ N μ , m ∣ + D μ , m ≤ 4 1 follows from Lemma 22 at μ = 0 \mu=0 μ = 0 and this continuity, for μ 0 \mu_0 μ 0 small depending only on e e e .
Lemma 25 (Differentiability of the hard-core energy). e μ , h c e_{\mu,\mathrm{hc}} e μ , hc is differentiable at μ = 0 \mu=0 μ = 0 with derivative ϑ h c \vartheta_{\mathrm{hc}} ϑ hc .
Proof. Set s = ∂ μ τ μ ∣ μ = 0 s=\left.\partial_\mu\tau_\mu\right|_{\mu=0} s = ∂ μ τ μ ∣ μ = 0 . Differentiating (77) at μ = 0 \mu=0 μ = 0 gives an elliptic equation for s s s with smooth data, so s s s exists and is regular. Differentiating the energy relation (12) at μ = 0 \mu=0 μ = 0 expresses ϑ h c \vartheta_{\mathrm{hc}} ϑ hc in terms of ∂ r s ∣ 1 + \left.\partial_rs\right|_{1+} ∂ r s ∣ 1 + and ∫ B 1 ( 0 ) ( τ ∗ s ) \int_{B_1(0)}(\tau*s) ∫ B 1 ( 0 ) ( τ ∗ s ) ; the differentiation under the integral sign is a straightforward application of dominated convergence.
Theorem 26 (Limit exchange; proof of part (ii) of Theorem 3). lim m → ∞ ϑ m = ϑ h c \lim_{m\to\infty}\vartheta_m=\vartheta_{\mathrm{hc}} lim m → ∞ ϑ m = ϑ hc , equivalently lim m → ∞ η m = η h c \lim_{m\to\infty}\eta_m=\eta_{\mathrm{hc}} lim m → ∞ η m = η hc , which is (28).
Proof. Fix ε > 0 \varepsilon>0 ε > 0 . By Lemma 25 there exists δ 0 > 0 \delta_0>0 δ 0 > 0 such that for all 0 < δ < δ 0 0<\delta<\delta_0 0 < δ < δ 0 ,
∣ e δ , h c − e 0 , h c δ − ϑ h c ∣ < ε . \left\lvert\frac{e_{\delta,\mathrm{hc}}-e_{0,\mathrm{hc}}}{\delta}-\vartheta_{\mathrm{hc}}\right\rvert<\varepsilon. δ e δ , hc − e 0 , hc − ϑ hc < ε .
Fix such a δ \delta δ . For every m ≥ m 0 m\geq m_0 m ≥ m 0 , the mean value theorem gives δ ∗ ∈ ( 0 , δ ) \delta^*\in(0,\delta) δ ∗ ∈ ( 0 , δ ) with
e δ , m − e 0 , m δ = ϑ δ ∗ , m , \frac{e_{\delta,m}-e_{0,m}}{\delta}=\vartheta_{\delta^*,m}, δ e δ , m − e 0 , m = ϑ δ ∗ , m ,
so by Lemma 24,
∣ ϑ m − e δ , m − e 0 , m δ ∣ = ∣ ϑ 0 , m − ϑ δ ∗ , m ∣ ≤ ω ( δ ) , \left\lvert\vartheta_m-\frac{e_{\delta,m}-e_{0,m}}{\delta}\right\rvert=\lvert\vartheta_{0,m}-\vartheta_{\delta^*,m}\rvert\leq\omega(\delta), ϑ m − δ e δ , m − e 0 , m = ∣ ϑ 0 , m − ϑ δ ∗ , m ∣ ≤ ω ( δ ) ,
while Lemma 23 gives
∣ e δ , m − e 0 , m δ − e δ , h c − e 0 , h c δ ∣ ≤ 2 K δ m . \left\lvert\frac{e_{\delta,m}-e_{0,m}}{\delta}-\frac{e_{\delta,\mathrm{hc}}-e_{0,\mathrm{hc}}}{\delta}\right\rvert\leq\frac{2K}{\delta\sqrt{m}}. δ e δ , m − e 0 , m − δ e δ , hc − e 0 , hc ≤ δ m 2 K .
Combining the three estimates,
∣ ϑ m − ϑ h c ∣ ≤ ω ( δ ) + 2 K δ m + ε . \lvert\vartheta_m-\vartheta_{\mathrm{hc}}\rvert\leq\omega(\delta)+\frac{2K}{\delta\sqrt{m}}+\varepsilon. ∣ ϑ m − ϑ hc ∣ ≤ ω ( δ ) + δ m 2 K + ε .
Letting m → ∞ m\to\infty m → ∞ at fixed δ \delta δ eliminates the middle term, so lim sup m → ∞ ∣ ϑ m − ϑ h c ∣ ≤ ω ( δ ) + ε \limsup_{m\to\infty}\lvert\vartheta_m-\vartheta_{\mathrm{hc}}\rvert\leq\omega(\delta)+\varepsilon lim sup m → ∞ ∣ ϑ m − ϑ hc ∣ ≤ ω ( δ ) + ε ; since δ < δ 0 \delta<\delta_0 δ < δ 0 and ε > 0 \varepsilon>0 ε > 0 were arbitrary, ϑ m → ϑ h c \vartheta_m\to\vartheta_{\mathrm{hc}} ϑ m → ϑ hc , hence η m = 1 − ϑ m → 1 − ϑ h c = η h c \eta_m=1-\vartheta_m\to1-\vartheta_{\mathrm{hc}}=\eta_{\mathrm{hc}} η m = 1 − ϑ m → 1 − ϑ hc = η hc .
Corollary 27 (Proof of Theorem 2). Each soft-core equation satisfies (24) with a 0 a_0 a 0 replaced by a 0 ( m ) a_0(m) a 0 ( m ) and error uniform in m m m , which is the remaining assertion of part (ii) of Theorem 3; and the hard-core condensate fraction satisfies
η h c = 1 − 8 3 π ρ h c + o ( ρ h c ) , (86) \eta_{\mathrm{hc}}=1-\frac{8}{3\sqrt{\pi}}\sqrt{\rho_{\mathrm{hc}}}+o(\sqrt{\rho_{\mathrm{hc}}}), \tag*{(86)} η hc = 1 − 3 π 8 ρ hc + o ( ρ hc ) , (86) which is Theorem 2.
Proof. By (84) , ϑ m = 4 2 3 π e a 0 ( m ) + o ( e ) \vartheta_m = \frac{4\sqrt{2}}{3\pi}\sqrt{e}\,a_0(m) + o(\sqrt{e}) ϑ m = 3 π 4 2 e a 0 ( m ) + o ( e ) uniformly in m ≥ m 0 m \ge m_0 m ≥ m 0 . By the uniform expansion (75) , e = 2 π ρ ˉ m a 0 ( m ) ( 1 + o ( 1 ) ) e = 2\pi\bar{\rho}_m a_0(m)(1+o(1)) e = 2 π ρ ˉ m a 0 ( m ) ( 1 + o ( 1 )) uniformly in m m m , so e = 2 π ρ ˉ m a 0 ( m ) ( 1 + o ( 1 ) ) \sqrt{e} = \sqrt{2\pi\bar{\rho}_m a_0(m)}(1+o(1)) e = 2 π ρ ˉ m a 0 ( m ) ( 1 + o ( 1 )) and
η m = 1 − 8 3 π ρ ˉ m a 0 ( m ) 3 + o ( ρ ˉ m ) , \eta_m = 1 - \frac{8}{3\sqrt{\pi}}\sqrt{\bar{\rho}_m a_0(m)^3} + o(\sqrt{\bar{\rho}_m}), η m = 1 − 3 π 8 ρ ˉ m a 0 ( m ) 3 + o ( ρ ˉ m ) ,
uniformly in m ≥ m 0 m \ge m_0 m ≥ m 0 , which is (24) with a 0 a_0 a 0 replaced by a 0 ( m ) a_0(m) a 0 ( m ) . Sending m → ∞ m \to\infty m → ∞ at fixed e e e , Theorem 26 , a 0 ( m ) → 1 a_0(m) \to1 a 0 ( m ) → 1 and ρ ˉ m → ρ h c \bar{\rho}_m \to\rho_{\mathrm{hc}} ρ ˉ m → ρ hc (Theorem 17) give ϑ h c = 4 2 3 π e + o ( e ) \vartheta_{\mathrm{hc}} = \frac{4\sqrt{2}}{3\pi}\sqrt{e} + o(\sqrt{e}) ϑ hc = 3 π 4 2 e + o ( e ) ; substituting e = 2 π ρ h c ( 1 + o ( 1 ) ) \sqrt{e} = \sqrt{2\pi\rho_{\mathrm{hc}}}(1+o(1)) e = 2 π ρ hc ( 1 + o ( 1 )) from Theorem 1 yields (86) .
Acknowledgements. We thank Elliott Lieb for many useful advice and discussions. IJ gratefully acknowledges support through NSF Grant DMS-2349077.
AI disclosure. AI was used for formatting and grammatical corrections to the paper.