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Lattice Gaussian Riemann limits and the singular Bose endpoint
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be an integer, , and . Define for and for finite . For each , both and are continuous, and for every fixed integer their polynomially weighted lattice sums converge with The convergence is uniform when ranges over a compact subset of for bosons or for fermions. At the Bose endpoint , define for . For every fixed and , monotone convergence gives as , where the extended endpoint value is It is finite exactly when . In that case the missing-origin lattice sums satisfy No value is assigned to .
Facts & Assumptions
Given: ; the Lebesgue integral and product-space conventions of the linked measure definitions; , .
Gaussian, gamma and beta product integrals, Statement and proof: the Gaussian integral is for , and its finite products give the dimensional Gaussian value. Its full parameter-derivative clause is separately proved by differentiating the independently evaluated moments; this theorem uses only its Gaussian evaluation clause, not parameter differentiation.
Lebesgue measurable sets, the family , and the restricted set function and The nonnegative Lebesgue integral: boxes have their usual volume and nonnegative integrals are defined by increasing simple-function approximation.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative measurable functions may be integrated in either order, including countable sums against Lebesgue measure.
Monotone convergence for the integral: increasing nonnegative measurable functions have integrals converging to the integral of their pointwise limit.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: an axis-parallel box has Lebesgue measure equal to the product of its side lengths.
is the mesh size; and are fixed positive real parameters. In later physical uses has units energy·length, has units length, and has units energy.
Proof
For , the Bose denominator is bounded below by on compact sets; for finite , the Fermi denominator is at least . At large , each occupation is bounded by for positive constants depending on a compact parameter neighborhood. A polynomial factor is absorbed by a slower Gaussian because is bounded on . Thus the continuum integrands and their polynomially weighted tails are integrable by comparison with products of one dimensional Gaussians and Tonelli [F3,F1]. For each fixed , the max-norm shell has at most points, and its summand is bounded by a fixed polynomial in times ; the ratio of successive polynomial-Gaussian terms is eventually below a constant less than one, proving every lattice sum is finite.
At and , gives . If , the number of integer lattice points in that shell is , while . Hence for , when ; the last estimate follows by comparison on each unit interval with the integral of (and for the sum is bounded by a constant times ). The continuum small-ball integral has the same bound by decomposing into dyadic annuli, each with volume at most a constant times its radius to power .
On a fixed compact cube, uniform continuity of implies that replacing its value on each mesh cube by its value at the lattice corner changes the integral by at most the cube volume times the common modulus of continuity; summing finitely many cubes makes this error tend to zero. The measure of each mesh cube is by [F5]. This proves convergence on compact cubes.
To control tails uniformly for , let . For , . The Gaussian bound from step 1.1 therefore bounds each weighted lattice summand times by a fixed constant times the integral of a slower Gaussian over ; the polynomial weight is absorbed by reducing its exponent once more. Cubes whose centers satisfy lie outside the ball of radius . The integral of the slower Gaussian on that exterior tends to zero as , by [F1,F3]. Compact convergence from step 2.1 and this uniform tail bound prove the stated full-space limit and finiteness of every lattice sum.
Outside any fixed ball around zero, is continuous and has Gaussian tails, so the compact-annulus and tail argument in steps 2.1 and 3.1 applies. Split both the sum and integral into , , and . First take on the annulus, then using Gaussian tails, and finally using step 1.2. This proves convergence of the missing-origin Bose sums without assigning an origin value.
For , the positive geometric series gives . Its partial sums increase pointwise, so [F4] and Tonelli [F3] give the equality as extended nonnegative integrals . The product Gaussian integral [F1] evaluates each term as . The resulting positive series converges exactly when , by comparison of with , and diverges otherwise. For , increases pointwise to as , so [F4] also gives convergence of the corresponding integrals to this endpoint value. This proves the extended endpoint formula, its divergence for , and the integral limit used by the Bose condensation theorem.
Remarks
The in-run supplier Gaussian, gamma and beta product integrals is a batch-34 draft. Its current complete argument proves the Gaussian values used here and its full moment-derivative clause; the latter follows from evaluated moments and the Gamma recurrence, without an improper-integral differentiation interchange or a research M17 premise. This theorem uses the Gaussian evaluation and finite-product integrability only. The singular-origin and uniform-tail arguments are supplied locally above. Ordinary native review remains required; this supplier compatibility check grants no readiness.
Depends on
Lebesgue measurable sets, the family , and the restricted set function
The nonnegative Lebesgue integral
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Monotone convergence for the integral
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included
Gaussian, gamma and beta product integrals
The Axiom of Countable Choice ()