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Uniform lattice-shell counts and explicit Gaussian tail controllers

Statement

Assume Countable Choice. For an invertible real 3×3 matrix B, put Γ=BZ3 and CB=(2∥B−1∥2(1+3∥B∥2)+1)3. Here ∥⋅∥2 is the Euclidean operator norm. Uniformly over every translate y+Γ and every integer shell m≥0, #{z∈y+Γ:m≤∣z∣<m+1}≤CB(m+1)3.

For β>0, any integer p≥0, and integer M≥0, set Tp(β,M)=∑m=M∞(m+1)pe−βm2. For any integer J≥M satisfying 2βJ(J+1)≥p, define I0(J,β)=π2βerfc⁡(βJ),I1(J,β)=e−βJ22β, and recursively for 2≤s≤p, Is(J,β)=Js−1e−βJ22β+s−12βIs−2(J,β). Then the finite controller Up(β,M,J)=∑m=MJ(m+1)pe−βm2+∑s=0p(ps)Is(J,β) satisfies Tp(β,M)≤Up(β,M,J). Such a J exists for every β>0, M≥0, and integer p≥0.

Facts & Assumptions

Given: Countable Choice, the full-rank cell matrix A and angular reciprocal lattice from Neutral point sources and Fourier data on a three-dimensional torus, an arbitrary invertible B∈GL3(R), a translate y+BZ3, β>0, integer p≥0, and M∈N.

[F1]

Each coset of a full-rank lattice has a representative in its closed fundamental parallelotope, whose coordinates lie in [0,1]3 (Fundamental parallelotopes of a lattice tile Euclidean space with covolume volume).

[F2]

erfc⁡(s) is the nonnegative Gaussian tail 2π∫s∞e−t2dt for s≥0 (Gaussian screened Coulomb kernel and its self limit).

[F3]

For every real X there is an integer greater than X (Every complete ordered field is Archimedean).

[F4]

Integration by parts holds on a finite interval when the factors and derivatives satisfy the stated integrability hypotheses (If u,v are differentiable on [a,b] with u′,v′ integrable, then ∫abuv′=u(b)v(b)−u(a)v(a)−∫abu′v).

[A1]

Countable Choice is assumed by the Gaussian-tail and lattice-tiling interfaces used here (The Axiom of Countable Choice (ACω)).

Proof

technique · direct
1.1givenA1F1algebra

Under Countable Choice [A1], use [F1] to replace y modulo BZ3 by a vector y0=Bv with v∈[0,1]3. Thus ∣y0∣≤3∥B∥2. If z=y0+Bn lies in the shell m≤∣z∣<m+1, then ∣n∣≤∥B−1∥2(m+1+3∥B∥2). The number of integer triples with this bound is at most (2∥B−1∥2(m+1+3∥B∥2)+1)3≤CB(m+1)3, proving the uniform shell count.

1.2givenF3algebra

Choose J≥M with 2βJ(J+1)≥p, which exists by [F3]. For x≥J, the derivative of f(x)=(x+1)pe−βx2 has the sign of p/(x+1)−2βx≤0, so f is nonincreasing. Therefore ∑m=J+1∞f(m)≤∫J∞f(x)dx. Expanding (x+1)p by the binomial theorem gives ∫J∞f(x)dx=∑s=0p(ps)Is(J,β).

2.1A1F2F4step 1.2algebra∎

The formulas for I0 and I1 follow by the substitutions t=βx and u=βx2. For s≥2, choose an integer L>(s+1)/2; eβx2≥(βx2)L/L! shows xse−βx2=O(xs−2L) is integrable at infinity. Apply [F4] on [J,R] and let R→∞; the same inequality makes the boundary term Rs−1e−βR2 vanish. This gives Is=Js−1e−βJ2/(2β)+(s−1)Is−2/(2β). Hence the finite sum through J plus the integral tail in step 1.2 equals Up and bounds Tp.

Remarks

  • The shell estimate is intentionally coarse. Its cubic factor is enough because every later term has Gaussian decay; no asymptotic lattice-point theorem is used.
  • For real-space estimates take B=A. For reciprocal estimates take B=2πA−T, whose lattice points are exactly the angular physical frequencies κk.

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