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Interacting Ensemble Geometry

1 · Prerequisites

2 · Summary

This page develops positional continuum statistical mechanics for stable regular pair interactions. It states the configuration, boundary, Poisson-reference, canonical and grand-canonical conventions explicitly, then proves free-cube pressure and interior exact-particle limits before deriving their thermodynamic duality. A superstable branch supplies the stationary entropy-energy variational principle and spatially averaged local-observable equivalence under a singleton minimizer.

The page keeps the hypotheses separated. Canonical limits are asserted at interior attainable densities; close-packing and other endpoints are not supplied by an interior limit. Arbitrary van Hove shapes use the superstable cell-occupation bound. Uniform exterior-pressure comparison uses a genuine positive divergent core and the stated uniformly tempered exterior class. The controlled energy shell is a positional shrinking energy-density window selected by a diagonal argument, not an exact energy surface or a phase-space shell. Normalized Poisson pressure differs from the physical 1/N!-normalized grand rate by the explicit unit-volume term.

The general decreasing-integrable-tail results assume a monotone integrable envelope. The page does not infer boundary universality from stability alone, does not infer the genuine core from superstability, and does not identify variational minimizers with DLR laws. All thermodynamic statements are conditional mathematical deductions in fixed numerical units; no experimental observation is claimed. The current prerequisite td-math-convex-contact-and-mixing supplies the convex contact and calibration context. The local Periodic preparation and local-tame transfer from entropy bounds makes the periodic-preparation interpretation explicit and transfers entropy-controlled empirical-field limits to periodically continued local-tame laws.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicableverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Van Hove sequence of bounded regions

Definition

Assume countable choice, fix an integer d≥1, and use the Euclidean norm ∥x∥2=⟨x,x⟩ from The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn and the d-dimensional Lebesgue measure λd from Lebesgue measurable sets, the family L(Rn), and the restricted set function λn. Countable choice ensures the stated Lebesgue set function is a measure and every Borel set is Lebesgue measurable (The Axiom of Countable Choice (ACω), Assuming countable choice, every Borel subset of Rn is Lebesgue measurable). For S⊆Rd, define dist⁡2(x,S)=inf⁡y∈S∥x−y∥2, with dist⁡2(x,∅)=+∞. The topological boundary of Ω⊆Rd is ∂Ω={x∈Rd:every ϵ>0 has Bϵ(x)∩Ω≠∅ and Bϵ(x)∖Ω≠∅},Bϵ(x)={y:∥y−x∥2<ϵ}. For a Lebesgue-measurable set A, write ∣A∣=λd(A). For a bounded set Ω and R>0, define its two-sided boundary layer ∂RΩ={x∈Rd:dist⁡2(x,∂Ω)≤R}, where dist⁡2 is the Euclidean distance just defined. A van Hove sequence is a sequence of bounded Lebesgue-measurable sets (Ωk)k∈N with 0<∣Ωk∣<∞, ∣Ωk∣→∞, and ∣∂RΩk∣∣Ωk∣⟶0for every fixed R>0. The boundary is closed, distance to a nonempty set is continuous, and for bounded Ω its R-neighborhood is bounded; hence each ∂RΩ is Borel and has finite Lebesgue measure (Lebesgue measure is sigma-finite, and every metrically bounded subset of Rn has finite outer measure). The condition controls both inner and outer boundary neighborhoods. It does not impose connectedness, a bounded aspect ratio, smooth boundaries, or a periodic identification.

DefinitionDefinition: Literature-sourcedProof: Not applicableverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Superstable regular pair interactions and configurational ensemble notation

Definition

Assume AC. Fix an integer dimension d≥1, use the Euclidean norm ∣⋅∣2 from The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn, define ∣x∣∞=max⁡j∣xj∣, and use the numerical coordinate conventions in Poisson Configuration Reference. A finite configuration is a finite subset ω⊂Rd with no repeated points; its number of points is N(ω). A pair potential is an even Borel function, measurable for the Borel sigma-algebra generated by open sets (The Borel sigma-algebra of a topological space), ϕ:Rd→R∪{+∞}, where even means ϕ(−x)=ϕ(x). Define Hϕ(ω)=∑{x,y}⊂ωϕ(x−y),Hϕ(∅)=0. The sum is over unordered two-point subsets, so every term is evaluated at a nonzero separation; if any term is +∞, the sum is +∞.

The potential is stable if some B≥0 satisfies Hϕ(ω)≥−BN(ω) for every finite configuration. It is superstable in the Georgii splitting convention if ϕ=ϕs+ϕr, where ϕs is stable and ϕr≥0 everywhere and, for some r0,δ>0, ϕr(x)≥δ whenever ∣x∣∞≤r0. It is lower regular if a nonnegative nonincreasing ψ:[0,∞)→[0,+∞] satisfies ϕ(x)≥−ψ(∣x∣∞),∫0∞ψ(r)rd−1 dr<∞. It is regular if it is lower regular and, for some R<∞, ϕ(x)≤ψ(∣x∣∞) whenever ∣x∣∞≥R. These are the conventions used for the interacting results on this page. A genuine divergent positive core is the separate additional condition that some nonincreasing χ:(0,r1]→(0,∞) satisfies ϕ(x)≥χ(∣x∣∞) for 0<∣x∣∞≤r1 and ∫0r1χ(r)rd−1dr=+∞; it is not implied by superstability.

For L>0 put ΛL=[0,L)d, VL=Ld, and let HL,free be Hϕ for configurations restricted to ΛL. For a regular potential and sufficiently large periodic cubes, periodize ω⊂ΛL by ωper={x+Lk:x∈ω, k∈Zd} and set HL,per(ω)=12∑x∈ω∑y∈ωper, y≠xϕ(y−x), interpreting the value as +∞ if a positive infinite term occurs. Under this regularity hypothesis, the far image sum is absolutely convergent for all sufficiently large L by Diagonal gap for a decreasing integrable interaction tail ↗; this is the image convention used below. With fixed numerical length and energy units, the canonical positional partition is Z(L,N;β)=1N!∫ΛLNe−βHϕ(q1,…,qN)dq1⋯dqN,Z(L,0;β)=1, where the tuple notation means Hϕ(q1,…,qN):=Hϕ({q1,…,qN}) when the coordinates are distinct, and Hϕ(q1,…,qN):=+∞ on collision diagonals. The integrand is therefore zero on collisions; these diagonals have product Lebesgue measure zero by the no-collision construction in Poisson Configuration Reference, so this convention leaves all partition integrals unchanged. For N=0 the empty tuple has energy zero. Here β>0, and the grand partition is Ξ(L;a,β)=∑N≥0aNZ(L,N;β) for numerical activity a>0. The normalized unit-intensity Poisson version is ZQ(L;z,β)=EQΛL[zNΛLe−βHL,free]; since the Poisson density contributes e−VL, Ξ(L;z,β)=eVLZQ(L;z,β). A physical pressure identification is not part of this mathematical definition.

For a probability law P on the configuration space of Poisson Configuration Reference, stationarity means P∘Tx−1=P for every x∈Rd. When P is stationary and EPN[0,1)d<∞ (finite intensity), write ρ(P)=EPN[0,1)d. Use the finite-region relative entropy D defined in Relative Entropy of Probability Measures. If ϕ is stable with constant B, then HL,free≥−BNΛL, so the negative part of HL,free is P-integrable for every such P. Whenever the limit exists, write E(P)=lim⁡L→∞VL−1EPHL,free,I(P)=lim⁡L→∞VL−1D(PΛL∥QΛL). In the variational results below, Φ(P) denotes this same positional energy density: Φ(P):=E(P). The cited results establish existence under their stated hypotheses; this definition does not assume either limit exists for every stationary finite-intensity law.

DefinitionDefinition: Literature-sourcedProof: Not applicableverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Periodized empirical field of a finite configuration

Definition

Assume Countable Choice The Axiom of Countable Choice (ACω). Use the cube ΛL=[0,L)d and the translation Tx defined in Poisson Configuration Reference. For a finite configuration ω⊂ΛL, let ω(L)={q+Lk:q∈ω, k∈Zd} be its periodic continuation. Define its periodized empirical field RL,ω:=1Ld∫ΛLδTxω(L) dx. The integral is the push-forward of normalized Lebesgue measure on ΛL under x↦Txω(L). For any probability law CL on finite configurations in ΛL, define its empirical-field barycenter as the probability mixture CˉL(B)=∫CL(dω)RL,ω(B) for every measurable configuration event B. By Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, for a nonnegative measurable test f, the mixture identity holds with values in [0,+∞]. For a signed local tame f from Local-Tame Topology, the finite expectation formula CˉL(f)=∫CL(dω)RL,ω(f)=1Ld∫ΛLECL[f(Txω(L))] dx is asserted when ∫CL(dω)RL,ω(∣f∣)<∞. In particular ECLN<∞ suffices: if a bounded support A is contained in a box of side a, then NA(Txω(L))≤(⌈a/L⌉+2)dN(ω) uniformly in x. The growth bound ∣f∣≤b(1+NA) therefore gives absolute integrability. For stationary laws write ρ(P)=EPN[0,1)d∈[0,+∞], with finite intensity meaning ρ(P)<∞; this agrees with the finite-intensity convention in Superstable regular pair interactions and configurational ensemble notation. This is a spatial average over the finite box, not the raw finite-volume law viewed at a fixed origin.

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Diagonal gap for a decreasing integrable interaction tail

Statement

Let d≥1 and let ϕ be a regular potential with a nonnegative nonincreasing envelope ψ:[R0,∞)→[0,∞), where R0<∞ and ∫R0∞rd−1ψ(r)dr<∞. Thus ∣ϕ(x)∣≤ψ(∣x∣∞) for ∣x∣∞≥R0. For g>2R0 set η(g)=gdψ(g)+∫g∞rd−1ψ(r)dr. Then η(g)→0 and ∑m=1∞md−1ψ(mg)≤2d−1g−dη(g). Moreover, there is a choice g(ℓ)>0, for all sufficiently large real ℓ, such that g(ℓ)→∞, g(ℓ)/ℓ→0, and (ℓg(ℓ))dη(g(ℓ))⟶0. For every fixed finite configuration and all sufficiently large periods L, the noncoincident periodic-image tail ∑k∈Zd, ∣k∣∞≥K0∣ϕ(x−y+Lk)∣ is absolutely convergent. The tail of the cell envelope ψ(∣j∣∞−1) over all sufficiently large integer offsets is summable. This lemma is a deterministic tail estimate; it uses no superstability or thermodynamic-limit conclusion.

Facts & Assumptions

Given: d,R0,ψ as in the Statement.

[F1]

The lower regularity convention in Superstable regular pair interactions and configurational ensemble notation supplies a nonnegative nonincreasing tail envelope with finite weighted integral.

Proof

Given: The hypotheses and notation above.

1.1F1algebra

Since ψ is nonincreasing, 0≤gdψ(g)≤d1−2−d∫g/2grd−1ψ(r)dr for g>2R0: on [g/2,g], ψ(r)≥ψ(g), and integration of rd−1 gives the displayed coefficient. Both the interval integral and the tail integral in η(g) tend to zero as g→∞, so η(g)→0.

1.2F1algebra

For m≥2 and r∈[(m−1)g,mg], monotonicity gives ψ(r)≥ψ(mg) and rd−1≥((m−1)g)d−1. Hence ∫(m−1)gmgrd−1ψ(r)dr≥gd(m−1)d−1ψ(mg). Since md−1≤2d−1(m−1)d−1, summing over disjoint intervals yields ∑m≥2md−1ψ(mg)≤2d−1g−d∫g∞rd−1ψ(r)dr. The m=1 term equals g−dgdψ(g), so adding it proves the stated bound because 2d−1≥1.

1.3F1algebra

For integer m≥⌈R0+3⌉, monotonicity gives ψ(r)≥ψ(m−1) on [m−2,m−1], so ∫m−2m−1rd−1ψ(r)dr≥(m−2)d−1ψ(m−1). Since md−1≤cd(m−2)d−1 for these m, summing over disjoint unit intervals proves ∑m≥⌈R0+3⌉md−1ψ(m−1)<∞.

2.1F1step 1.1choose

For each integer k≥1, let Gk be the least integer greater than 2R0 such that η(g)≤k−2d for every g≥Gk; it exists by step 1.1 and the well-ordering of the positive integers. Choose a strictly increasing sequence Lk with Lk≥kGk and Lk≥k2. For ℓ≥L1, let k(ℓ)=max⁡{k:Lk≤ℓ} and g(ℓ)=ℓ/k(ℓ). Then k(ℓ)→∞, g(ℓ)≥Gk(ℓ) and g(ℓ)≥k(ℓ), while g(ℓ)/ℓ=1/k(ℓ). Therefore (ℓg(ℓ))dη(g(ℓ))≤k(ℓ)dk(ℓ)−2d=k(ℓ)−d→0. This gives all three gap limits.

3.1F1step 1.2algebra∎

Fix distinct points x,y in a finite configuration and a period L>0. For ∣k∣∞ larger than 2∣x−y∣∞/L+2R0/L, the triangle inequality gives ∣x−y+Lk∣∞≥L∣k∣∞/2>2R0. Grouping lattice indices by m=∣k∣∞ and applying the sum bound of step 1.2 with gap g=L/2 shows ∑k∣ϕ(x−y+Lk)∣<∞ whenever L/2>2R0. There are finitely many remaining images; any +∞ term makes the periodic energy +∞ by definition, while otherwise their finite sum is well-defined. This proves the periodic-image convention used in Superstable regular pair interactions and configurational ensemble notation for all sufficiently large L.

LemmaStatement: Literature-sourcedProof: AI-adaptedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Cell-quadratic lower bound from superstability

Statement

Let ϕ=ϕs+ϕr be superstable in the splitting convention of Superstable regular pair interactions and configurational ensemble notation. Suppose Hϕs(ω)≥−BsN(ω) and ϕr(x)≥δ>0 for ∣x∣∞≤r0, with ϕr≥0 elsewhere. For the unit cells Ci=i+[0,1)d, there are constants A>0 and B≥0 such that every finite configuration satisfies Hϕ(ω)≥A∑i∈ZdNCi(ω)2−BN(ω). Only finitely many summands are nonzero. This is the cell form used in the continuum pressure arguments.

Facts & Assumptions

Given: The potential and splitting above.

[F1]

Superstable regular pair interactions and configurational ensemble notation: superstability supplies a stable part and a nonnegative repulsive part bounded below by δ on a fixed neighborhood of the origin.

Proof

Given: The assumptions and the half-open unit-cell partition.

1.1F1algebra

Choose an integer k≥1 with 1/k≤r0. Partition each unit cell Ci into kd half-open subcubes of side 1/k, and denote their occupancies by ni,j, 1≤j≤kd. Distinct points in one subcube have ∣x−y∣∞<1/k≤r0, so their repulsive pair energy is at least δ. Therefore Hϕr(ω)≥δ2∑i,jni,j(ni,j−1). Writing nˉ=NCi(ω)/kd, nonnegativity of ∑j(ni,j−nˉ)2 expands to ∑jni,j2≥NCi(ω)2/kd, and ∑i,jni,j=N(ω). Thus Hϕr(ω)≥δ2kd∑iNCi2−δ2N.

2.1F1step 1.1algebra∎

The stable part obeys Hϕs(ω)≥−BsN. Add this inequality to step 1.1 and take A=δ/(2kd) and B=Bs+δ/2. This proves the cell-quadratic bound. If any term is +∞, the inequality holds in the extended order; otherwise all sums are finite.

LemmaStatement: AI-adaptedProof: AI-adaptedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Stationarity and intensity of a periodized empirical field

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). For L>0 and a finite configuration ω⊂ΛL with N(ω)=N, the measure RL,ω of Periodized empirical field of a finite configuration is a stationary probability law of finite intensity and ρ(RL,ω)=NLd. For any probability law CL on finite configurations in ΛL with ECLN<∞, its empirical-field barycenter CˉL is also a stationary probability law of finite intensity and ρ(CˉL)=ECLN/Ld.

Facts & Assumptions

Given: The Axiom of Countable Choice and the half-open cube ΛL, a finite simple configuration ω⊂ΛL, and, when the barycenter is used, a law CL with ECLN<∞; use Periodized empirical field of a finite configuration.

[F1]

Periodized empirical field of a finite configuration: RL,ω averages the translations of the LZd-periodic continuation over one fundamental cube.

[F2]

Local-Tame Topology: stationarity means invariance under every translation and finite intensity means finite expected count in a unit cell. The notation in Periodized empirical field of a finite configuration is ρ(P)=EPN[0,1)d.

Proof

Given: The hypotheses and definitions in Facts & Assumptions.

1.1F1F3algebra

By [F1], RL,ω is the push-forward of normalized Lebesgue probability on ΛL, so it is a probability measure. For a bounded measurable local f and y∈Rd, RL,ω(f∘Ty)=L−d∫ΛLf(Tx+yω(L)) dx. The integrand is LZd-periodic in x. The translated cube ΛL+y is another fundamental region for this lattice; partitioning it and ΛL into their finitely many translated intersections and using translation invariance of Lebesgue measure gives equal integrals. Hence RL,ω(f∘Ty)=RL,ω(f) for every y, so RL,ω is stationary.

2.1F1F2F3step 1.1algebra

For bounded Borel A, Tonelli's theorem and the periodic continuation give RL,ω(NA)=L−d∫ΛL∑q∈ω∑k∈Zd1A(q+Lk+x) dx. For each fixed q∈ω, the sets ΛL+Lk partition Rd up to null boundaries. Translating variables in each integral therefore makes the inner sum of integrals equal to ∣A∣. Summing over the N representatives gives RL,ω(NA)=N∣A∣/Ld. Taking A=[0,1)d proves ρ(RL,ω)=N/Ld and finite intensity.

3.1F1F2step 2.1algebra∎

The barycenter CˉL is a probability mixture of the stationary laws RL,ω, so it is stationary. By step 2.1 and Tonelli, ρ(CˉL)=ECL[RL,ω(N[0,1)d)]=ECLN/Ld<∞. Thus it belongs to the finite-intensity stationary domain of τL.

LemmaStatement: Literature-sourcedProof: AI-adaptedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Superquadratic cell coercivity from a divergent or hard core

Statement

Assume the potential of Superstable regular pair interactions and configurational ensemble notation is stable and regular. In addition, assume either (i) χ:(0,r1]→(0,∞) is finite-valued and nonincreasing, ϕ(x)≥χ(∣x∣∞) for 0<∣x∣∞≤r1, and ∫0r1χ(r)rd−1dr=+∞; or (ii) there is a hard-core radius rh>0 such that ϕ(x)=+∞ whenever ∣x∣∞<rh. Then there are a nonnegative nondecreasing h:N0→[0,+∞] with h(0)=0 and h(N)/N2→+∞, and a constant b<∞, such that Hϕ(ω)≥∑i∈Zdh(NCi(ω))−bN(ω). The hard-core alternative permits h(N)=+∞ above the finite packing capacity of a unit cell. This is stronger than ordinary superstability and is not inferred from stability or regularity alone.

Facts & Assumptions

Given: Stability, regularity, the unit-cell partition, and one of the two positive-core alternatives.

[F1]

Superstable regular pair interactions and configurational ensemble notation: if Hϕ≥−BN, applying stability to a two-point configuration gives ϕ(x)≥−2B for every nonzero separation; regularity supplies an integrable lower-tail envelope.

[F2]

Diagonal gap for a decreasing integrable interaction tail: the integrable envelope gives a finite lattice sum outside any sufficiently large fixed gap.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1F1F2algebra

Write Ni=NCi(ω). The negative part of each pair potential is bounded both by 2B, where B is the stability constant of ϕ, and, at large separation, by the lower-regular envelope. Set Ψj to a finite constant on the finitely many near-cell offsets and to the envelope evaluated at ∣j∣∞−1 on the remaining offsets. The shell count ∣{j:∣j∣∞=m}∣≤cdmd−1 and the cell-envelope conclusion of [F2] give ∑jΨj<∞. Since NiNj≤(Ni2+Nj2)/2, the total negative pair contribution is at most C∑iNi2 for a finite C.

1.2F1algebraconstruct

In case (i), choose an integer k0≥2 with 1/(k0−1)≤r1. Then χ(1/k) and χ(1/(k−1)) are both defined for every k≥k0. Partition one unit cell into kd half-open cubes of side 1/k, put χk=χ(1/k), and Δχk=χk−χk−1≥0. If the cell contains N points, the identity ∑jnj2−N=2∑j(nj2) and nonnegativity of ∑j(nj−N/kd)2 give at least 12(N2/kd−N) same-subcube pairs at scale k. A fixed pair counted at scale k has separation s<1/k, hence k<1/s; summing its nonnegative weights over all scales where it is counted is at most ∑k=k0⌊1/s⌋Δχk≤χ(s). Thus the positive core energy in the cell dominates the sum of these weighted pair counts. With KN=⌊(N/2)1/d⌋, each k≤KN satisfies N2/kd−N≥N2/(2kd), so the core energy is at least N24∑k=k0KNΔχkkd. Summation by parts writes the coefficient as an initial constant plus ∑k=k0KN−1χk(k−d−(k+1)−d); and k−d−(k+1)−d≥d/(2d+1kd+1). The series ∑kχ(1/k)k−d−1 diverges: on dyadic intervals [2−j−1,2−j], monotonicity bounds the integral above by Cd2−jdχ(2−j−1), while the corresponding block 2j+1≤k<2j+2 contributes at least cd2−jdχ(2−j−1) to that series. The divergent core integral therefore forces the displayed coefficient to tend to infinity.

2.1F1step 1.1step 1.2algebra

In case (i), sum the cell core bound from step 1.2 and subtract the negative-pair bound from step 1.1. The resulting coefficient of Ni2 tends to infinity with Ni. Above a finite threshold it dominates 2CNi2; below that threshold its possible negative remainder is bounded by a constant times Ni. Taking h(N) to be half the positive cell lower bound above the threshold and zero below it gives a nondecreasing extended-valued function with h(N)/N2→∞ and Hϕ≥∑ih(Ni)−bN.

3.1F1algebraconstruct∎

In case (ii), choose k with 1/k<rh and partition every unit cell into kd subcubes. A finite-energy configuration has at most one point in each subcube, so Ni≤kd for every i. Define h(N)=0 for N≤kd and h(N)=+∞ for N>kd. If any cell exceeds this occupancy, the configuration has a forbidden pair and Hϕ=+∞; otherwise stability gives Hϕ≥−BN=∑ih(Ni)−BN. This proves the hard-core alternative.

TheoremStatement: AI-adaptedProof: AI-adaptedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Canonical free-cube limit at every interior attainable density

Statement

Let ϕ be stable and regular as in Superstable regular pair interactions and configurational ensemble notation, fix β>0, and define Z(L,N;β) as in that definition. For sequences Lj→∞ and integers Nj≥0 with Nj/Ljd→ρ, define b(ρ)=sup⁡{lim sup⁡j→∞Lj−dlog⁡Z(Lj,Nj;β):NjLjd→ρ}. Let F be the concave envelope of b on [0,∞), namely the supremum of ∑i=1mθib(ρi) over finite lists with θi≥0, ∑iθi=1, ρi≥0, and ∑iθiρi=ρ; the empty supremum is −∞. On the interior of {ρ:F(ρ)>−∞}, F is finite and continuous. For every ρ>0 in that interior and every such sequence (Lj,Nj), lim⁡j→∞Lj−dlog⁡Z(Lj,Nj;β)=F(ρ). No claim is made at a close-packing endpoint or at any other excluded endpoint.

Facts & Assumptions

Given: Stability with constant B, a regular even pair potential, fixed β>0, and the free-cube canonical convention in Superstable regular pair interactions and configurational ensemble notation.

[F1]

Stability gives UN≥−BN for every finite configuration. Regularity supplies R0<∞ and a nonnegative nonincreasing ψ:[R0,∞)→[0,∞) with ∣ϕ(x)∣≤ψ(∣x∣∞) for ∣x∣∞≥R0 and ∫R0∞rd−1ψ(r) dr<∞ (Superstable regular pair interactions and configurational ensemble notation).

[F2]

For every sufficiently large gap g, the lattice-shell interaction tail is bounded by Diagonal gap for a decreasing integrable interaction tail, with a diagonal choice g(ℓ)/ℓ→0 and vanishing cross-energy density.

[F4]

The factorial and logarithm suppliers give the integral bounds ∫1mlog⁡x dx≤log⁡(m!)≤∫1m+1log⁡x dx and log⁡(1+u)≤u for u>−1 (The factorial n! and the falling factorial nk‾, defined by recursion in N, Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm).

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1F1F3F4algebra

Stability and [F3] give Z(L,N;β)≤eβBNLdN/N!. If N/Ld→ρ>0, the factorial integral bounds [F4] imply lim sup⁡L−dlog⁡Z(L,N;β)≤ρ(1+βB−log⁡ρ), so b(ρ) and F(ρ) are bounded above on every compact positive-density interval. The vacuum term gives b(0)=0: Z(L,0)=1 is a lower bound, and the same stability estimate with N/Ld→0 gives a nonpositive upper limit.

1.2F1F2F3algebraconstruct

The effective domain of F has nonempty interior. Fix a core cube of side s>0 and a gap g>2R0; place one particle in each selected core of a lattice of spacing s+g inside a large box. The absolute interaction from any one occupied core to all others is bounded by C∑m≥1md−1ψ(mg)<∞ by [F1]–[F2], with the gap satisfying the stated hypothesis of the diagonal-gap estimate. Restricting each particle to a subcube of volume v0>0 therefore gives Z(L,N;β)≥v0Ne−C0N for every density strictly below (s+g)−d, after omitting unused lattice cells. Thus F is finite on a nonempty interval of positive densities; by its definition as a finite-mixture envelope it is concave.

2.1F2F3step 1.2algebra

Fix a finite list of core preparations (si,ni) with 0<Z(si,ni;β)<∞. For each i, choose a gap gi=g(si) from [F2] along a sequence si→∞ so that gi/si→0 and the positive interaction between distinct cores in the same lattice packing, divided by core volume, tends to zero. Set tile side ai=si+gi and effective density ri=ni/aid. If Mi such tiles carry exactly ni particles in their central si-cubes, the same shell count as in the proof of Free-cube grand-pressure limit for decreasing integrable tails gives cross-energy penalty per occupied volume at most C(ni/sid)2(si/gi)dη(gi), which tends to zero by [F2]. Exact factorization over disjoint core cubes follows because assigning the labeled coordinates to their cores contributes N!/∏i(ni!)Mi, cancelling the global N!.

3.1F1F2step 2.1construct

For any finite convex combination in the definition of F(ρ), choose core preparations with densities tending to its ρi and rates tending to b(ρi). If their effective densities do not strictly bracket the target ρ, add arbitrarily small weights at one attainable density below and one above ρ; such densities exist because ρ is interior. Their mixture coefficients can then be perturbed by quantities tending to zero so the effective mean is exactly ρ. Place the fixed core types in finitely many macroscopic slabs with these volume fractions, inserting fixed empty layers wider than R0 between slabs. For fixed core sizes and gaps, the distinct-slab cross energy divided by total volume tends to zero: for interaction distances at most R, only O(RLd−1) particles lie in the interface strips, while the remaining contribution is bounded by a constant times Ld∑∣j∣∞>RΨj; take L→∞ and then R→∞.

4.1F1F2F3step 2.1step 3.1construct

First reserve an outer layer of fixed width W. For each large L, put ρL=NL/Ld and choose the slab fractions in the remaining volume to match the count NL at density ρLLd/(Ld−O(WLd−1)). This target tends to ρ, so the strict bracketing in step 3.1 applies uniformly for large L and absorbs the reserved layer without assuming its one-particle capacity replaces a bulk density. Rounding the finitely many slab and core counts then leaves at most C1Ld−1 particles unplaced, with C1 depending on the fixed preparations but not on W; the error comes only from the finitely many slab faces and incomplete boundary tiles. Choose W large enough to contain at least C1Ld−1 small cells separated from each other and every core by more than R0. Put each missing particle in one such cell. Its interaction with the fixed preparations is bounded by the same summable tail, so the correction changes log weight by only O(Ld−1). This constructs exactly NL particles for every sequence NL/Ld→ρ, and gives lim inf⁡L→∞L−dlog⁡Z(L,NL;β)≥∑iθilog⁡Z(si,ni;β)−crossiaid, where crossi/aid→0 by step 2.1. Taking preparations approaching the selected convex combination and then the supremum gives lim inf⁡≥F(ρ).

5.1F4step 1.1step 1.2step 4.1algebra∎

By the definition of b, every sequence with density tending ρ has limsup rate at most b(ρ)≤F(ρ). Together with step 4.1 this proves the asserted limit. A finite concave function on an open interval is continuous: fix a<ρ<b in the interval; the chord slopes from a and b bound the difference quotients on a smaller interval around ρ, yielding a finite local Lipschitz bound. This establishes finiteness and continuity of F on its effective interior while leaving excluded endpoints undecided.

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Free-cube grand-pressure limit for decreasing integrable tails

Statement

Let ϕ be stable and regular as in Superstable regular pair interactions and configurational ensemble notation, with stability constant B, and fix a,β>0. For free-boundary cubes define ΞL(a,β)=∑N≥0aNZ(L,N;β). Then 1≤ΞL(a,β)≤exp⁡(aeβBLd),p(a,β):=lim⁡L→∞L−dlog⁡ΞL(a,β) exists and is finite. This theorem assumes only stability and the decreasing integrable two-sided tail in regularity; it does not assert canonical fixed-density convergence, periodic-boundary equality, or arbitrary-region limits.

Facts & Assumptions

Given: Dimension d≥1, a stable regular pair potential, its stability constant B, and fixed numerical length and energy units.

[A1]

Stability means Hϕ(ω)≥−BN(ω) for every finite configuration, and the grand partition uses the 1/N! normalization in Superstable regular pair interactions and configurational ensemble notation.

[F1]

Superstable regular pair interactions and configurational ensemble notation: for some nonnegative nonincreasing ψ and R0<∞, ∣ϕ(x)∣≤ψ(∣x∣∞) for ∣x∣∞≥R0, with finite weighted integral ∫R0∞ψ(r)rd−1dr.

[F2]

Diagonal gap for a decreasing integrable interaction tail: ∑m≥1md−1ψ(mg)≤2d−1g−dη(g) and there are gaps g(ℓ) with g(ℓ)/ℓ→0 and (ℓ/g(ℓ))dη(g(ℓ))→0.

[F5]

Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative sums and product integrals factor over finitely many disjoint regions.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1A1F3F4algebra

Put q=aeβB. For every N-point configuration, 0≤e−βHϕ≤eβBN by [A1]. Applying [F3] to the finite-volume integral gives aNZ(L,N;β)≤(qLd)N/N!. Summing by [F4] yields ΞL≤eqLd; the empty configuration contributes exactly 1, so ΞL≥1.

2.1A1F3F4step 1.1algebra

Choose K>eq+1 and an integer cutoff nℓ with Kℓd<nℓ≤Kℓd+1. For N>nℓ, 1≤eN−Kℓd, so ∑N>nℓaNZ(ℓ,N;β)≤e−Kℓd∑N≥0(eqℓd)NN!=e(eq−K)ℓd≤e−ℓd. Because Ξℓ≥1, the truncated sum Ξℓcut=∑N=0nℓaNZ(ℓ,N;β) satisfies Ξℓcut≥(1−e−ℓd)Ξℓ.

3.1F1F3F5step 2.1construct

Fix a core side ℓ and a gap g>2R0. Place M=⌊L/(ℓ+g)⌋d disjoint core cubes of side ℓ in [0,L)d on the lattice of spacing ℓ+g. Restrict every core to at most nℓ particles. If two core indices differ by maximum norm m≥1, every pair between them has separation at least mg in maximum norm. The number of offsets in shell m is (2m+1)d−(2m−1)d≤cdmd−1. By [F1], the sum of positive cross-core pair energies is therefore at most DL,ℓ,g≤cdMnℓ2∑m≥1md−1ψ(mg). Negative cross-core energies only increase the Boltzmann weight. Splitting the grand sum by the particle counts in these disjoint cores, Tonelli [F5] and the multinomial coefficient show that the global N! cancels the assignments of labeled coordinates to cores. Thus ΞL≥e−βDL,ℓ,g(Ξℓcut)M.

4.1F2step 2.1step 3.1algebra

Divide the last inequality by Ld and let L→∞ with ℓ,g fixed. Since M/Ld→(ℓ+g)−d, [F2] gives lim inf⁡L→∞L−dlog⁡ΞL≥(ℓℓ+g)d[ℓ−dlog⁡Ξℓ+ℓ−dlog⁡(1−e−ℓd)−CdK12(ℓg)dη(g)], where K1=K+1 bounds nℓ/ℓd for ℓ≥1 and Cd absorbs the fixed shell-count constant and β.

5.1F2step 1.1step 4.1algebra∎

The numbers pℓ=ℓ−dlog⁡Ξℓ lie in [0,q] by step 1.1, so choose ℓj→∞ with pℓj→lim sup⁡ℓ→∞pℓ. Set g=g(ℓj) from [F2]. Then g/ℓj→0, the volume fraction tends to 1, the cutoff logarithm divided by ℓjd tends to zero, and the cross-core error tends to zero. Step 4.1 therefore yields lim inf⁡L→∞pL≥lim sup⁡L→∞pL. The reverse inequality is automatic for every real sequence, so the limit exists; step 1.1 makes it finite.

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Canonical–grand-canonical thermodynamic duality

Statement

Let Fβ be the finite concave canonical rate on the interior attainable-density interval from Canonical free-cube limit at every interior attainable density. Extend it by Fβ(0)=0, by its interior upper-semicontinuous limit at any finite upper endpoint of its effective domain, and by −∞ outside the closed effective domain; retain the value −∞ if the endpoint limit is −∞. For α∈R, define P(α,β)=lim⁡L→∞L−dlog⁡ΞL(eα,β), whose existence is Free-cube grand-pressure limit for decreasing integrable tails. Then P(α,β)=sup⁡ρ≥0(Fβ(ρ)+αρ),Fβ(ρ)=inf⁡α∈R(P(α,β)−αρ) for every ρ in the closed effective domain of Fβ. These are thermodynamic limits of positional partition functions. They do not assert local-observable equivalence, a finite-volume endpoint realization, or a thin energy-shell limit.

Facts & Assumptions

Given: A stable regular pair potential, β>0, its free-cube canonical partition functions, and the exact entropy/rate conventions above.

[F1]

Canonical free-cube limit at every interior attainable density: for each interior attainable ρ>0 and every sequence NL/Ld→ρ, L−dlog⁡Z(L,NL;β)→Fβ(ρ); the proof supplies the slab-packing inequality and sparse low-density lower bound.

[F2]

Free-cube grand-pressure limit for decreasing integrable tails: stability bounds the grand tail exponentially and the free-cube grand-pressure limit exists for every positive activity.

[F3]

Finite-dimensional Fenchel-Moreau biconjugation: a proper closed convex function on finite-dimensional Euclidean space equals its biconjugate under the stated extended-real conventions.

[A1]

Stability supplies a finite B≥0 with UN≥−BN (Superstable regular pair interactions and configurational ensemble notation).

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1F1F2algebra

Fix an interior attainable density ρ>0 and a sequence NL/Ld→ρ. The grand sum contains the nonnegative term eαNLZ(L,NL;β), so lim inf⁡L→∞L−dlog⁡ΞL(eα,β)≥Fβ(ρ)+αρ by [F1]. Taking the supremum over interior densities gives the lower bound. The vacuum term Z(L,0)=1 gives the value 0 at density zero. Endpoint values are limits from the interior by their definition, so they do not enlarge the supremum.

1.2A1F2algebra

Put q=eα+βB. For each N≥0, stability and the box-volume formula give eαNZ(L,N;β)≤(qLd)N/N!. Choose K>eq+1. For N>KLd, 1≤eN−KLd, so the factorial bound gives ∑N>KLdeαNZ(L,N;β)≤e−KLd∑N≥0(eqLd)NN!≤e−Ld. The remaining at most KLd+2 terms are bounded by their maximum times this number; its logarithm divided by Ld tends to zero.

2.1F1F2step 1.1step 1.2algebra

Choose maximizing retained particle numbers and a subsequence with NL/Ld→ρ∈[0,K]; nested-interval bisection on the compact interval [0,K] supplies the subsequence. The canonical upper rate is at most b(ρ)≤Fβ(ρ), since the one-term mixture in the definition of Fβ includes b(ρ). At ρ=0, stability gives upper rate at most 0=Fβ(0). If u is a finite upper endpoint and b(u)>−∞, mix a preparation approaching b(u) with an interior preparation of density r<u, in slab fractions 1−ϵ and ϵ. The exact packing inequality in [F1] gives Fβ((1−ϵ)u+ϵr)≥(1−ϵ)b(u)+ϵb(r). As ϵ↓0, the left side tends to the assigned interior endpoint limit; hence b(u)≤Fβ(u). If b(u)=−∞ this bound is automatic. Outside the closed effective domain, b(ρ)=−∞, again because a finite b(ρ) would make Fβ(ρ)≥b(ρ). Thus the maximum retained term has limiting rate at most sup⁡ρ≥0(Fβ(ρ)+αρ). The tail estimate in step 1.2 and the lower bound in step 1.1 prove the first equality.

3.1F1F2F3step 2.1algebra∎

The extension Fβ is proper, upper-semicontinuous and concave. It is finite and concave on its open effective interior by [F1], hence continuous there. At zero, stability and the concavity of g(ρ)=ρ(1+βB−log⁡ρ) give Fβ(ρ)≤g(ρ)→0. The sparse separated-cell lower bound in [F1] gives Fβ(ρ)≥cρ for a fixed finite c, so Fβ(ρ)→0=Fβ(0). At any finite upper endpoint use the assigned interior upper-semicontinuous limit; outside the closed effective domain set Fβ=−∞. Hence G=−Fβ, with G=+∞ on negative densities, is a proper closed convex extended-real function on R. Its conjugate is G∗(α)=sup⁡ρ≥0{αρ+Fβ(ρ)}=P(α,β) by steps 1.1–2.1. Applying [F3] gives G(ρ)=sup⁡α{αρ−P(α,β)}, which is the second equality. The endpoint convention is needed for closedness; it asserts no finite-volume endpoint realization.

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Free-wall pressure on arbitrary van Hove shapes under superstability

Statement

Assume a superstable regular pair potential ϕ as in Superstable regular pair interactions and configurational ensemble notation, with stability constant B, and the van Hove definition Van Hove sequence of bounded regions. For a bounded Lebesgue-measurable Λ⊂Rd, define SN(Λ)={(q1,…,qN)∈ΛN:qi≠qj (i≠j)} and HN(q)=∑1≤i<j≤Nϕ(qi−qj). With e−β(+∞)=0, set ZΛ(N;β)=1N!∫SN(Λ)e−βHN(q) dq1⋯dqN,ZΛ(0;β)=1,ΞΛ(z,β)=∑N≥0zNZΛ(N;β). This is the labelled positional Lebesgue integral with indistinguishable-particle normalization and includes no exterior interaction. For Λ=[0,L)d it agrees with Z(L,N;β) and Ξ(L;z,β) from Superstable regular pair interactions and configurational ensemble notation. For every van Hove sequence (Ωk) and fixed z,β>0, the free-wall grand pressure satisfies lim⁡k→∞1∣Ωk∣log⁡ΞΩk(z,β)=p(z,β), where p(z,β) is the free-cube limit from Free-cube grand-pressure limit for decreasing integrable tails. The extra superstability hypothesis supplies the uniform cell-occupation bound used below; no arbitrary-shape theorem under stability alone is claimed.

Facts & Assumptions

Given: A stable, regular, superstable interaction, z,β>0, and a bounded measurable van Hove sequence.

[F1]

Superstable regular pair interactions and configurational ensemble notation: the stability constant B gives ϕ(x)≥−2B for nonzero separations, and regularity supplies R0<∞ and a nonnegative nonincreasing ψ:[R0,∞)→[0,∞) with ∣ϕ(x)∣≤ψ(∣x∣∞) for ∣x∣∞≥R0 and finite weighted tail integral.

[F2]

Van Hove sequence of bounded regions: every fixed-width boundary layer has volume o(∣Ωk∣).

[F3]

Cell-quadratic lower bound from superstability: the energy dominates a positive cell-square sum minus a linear count.

[F4]

Free-cube grand-pressure limit for decreasing integrable tails: the free-cube pressure limit exists and is finite.

[F5]

Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative configuration-sector sums and integrals may be interchanged over the sigma-finite product reference.

[L1]

Ruelle defines the m-point correlation density by Eq. (2.26) and proves in Proposition 2.6 that ρR(m)(x1,…,xm)≤ξm for every bounded measurable region R, all m, and all points, for superstable lower-regular interactions. By Tonelli, this definition gives EμRNA=∫AρR(1) and EμR[NA(NA−1)]=∫A2ρR(2) for measurable A⊆R. Hence ENA2≤ξ∣A∣+ξ2∣A∣2. The original statement and proof were visually checked on printed pp.140–141; the claim is used only under those hypotheses.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1F1F3F5L1algebra

Use the half-open unit-cell partition Ci=i+[0,1)d from Poisson Configuration Reference and first take a finite union R of these cells. Let ΠR be the unnormalized positional sector measure whose N-point part is zN/N! times product Lebesgue measure, and let μR have density e−βHfree/ΞR relative to ΠR. The factorial-moment identities from the correlation-density definition in [L1] and Tonelli [F5] give ENi2=ENi+E[Ni(Ni−1)]≤ξ∣Ci∩R∣+ξ2∣Ci∩R∣2≤M:=ξ+ξ2. This gives a uniform second-moment bound for every unit cell in every such region.

2.1F1F2F3F4F5L1step 1.1algebra

For each Ωk, let Rk be the union of unit cells meeting Ωk. Then ΞΩk≤ΞRk by domain monotonicity, and ∣Rk∣/∣Ωk∣→1 by the van Hove boundary condition. Put J0=⌈R0+2⌉, where R0 is the regular-tail cutoff in Superstable regular pair interactions and configurational ensemble notation, and choose M0≥max⁡{2B,ψ(J0−1)}. For j∈Zd, define κj=M0 when ∣j∣∞<J0 and κj=ψ(∣j∣∞−1) otherwise. If two particles occupy cells with offset j, their negative pair energy is bounded by κj: for near offsets, stability on a two-point configuration gives ϕ(x)≥−2B, and for far offsets the regularity envelope applies. Also ∑jκj<∞ by [F1]–[F2]. Partition the cells of Rk into boxes B of ℓ unit cells per side and, for each occupied cell i, set ei=∑j: B(j)≠B(i)κi−j. The negative cross-box energy obeys W−≤∑ieiNi2, by NiNj≤(Ni2+Nj2)/2 and summation over ordered cross-box cell pairs. Step 1.1 gives EW−≤M∑iei, so Markov's inequality shows W−≤2M∑iei with probability at least 1/2 (with probability one if the sum vanishes). On this event Htotal≥Hin−2M∑iei, where Hin is the sum of within-box energies. Therefore ΞRk/2≤e2βM∑iei∏BΞRk∩B. Indeed, ΞRkμRk(E)=∫Ee−βHtotaldΠRk; bound this by e2βM∑iei∫Ee−βHindΠRk, then factor the latter integral by boxes. Each unrestricted partial-box partition is at most the full ℓ-cube partition. For one full box, put Eℓ=∑i∈B,j∉Bκi−j. For fixed R, cells within distance R of the boundary contribute at most OR(ℓd−1)∑jκj, while every other cell contributes at most ℓd∑∣j∣∞>Rκj. Thus Eℓ/ℓd→0, by first letting ℓ→∞ and then R→∞. Consequently lim sup⁡k∣Ωk∣−1log⁡ΞΩk≤ℓ−d[log⁡ΞΛℓ+2βMEℓ]. Let ℓ→∞ and use [F4].

3.1F1F2F4step 2.1algebra∎

For the lower bound, put q=zeβB and choose K>eq+1. For integer core side ℓ≥1, let nℓ be an integer with Kℓd<nℓ≤Kℓd+1 and set Ξℓcut=∑N=0nℓzNZ(Λℓ,N;β). The stability tail estimate in the proof of [F4] gives Ξℓcut≥(1−e−ℓd)ΞΛℓ(z,β). Fix g>2R0 and retain every complete (ℓ+g)-tile whose core lies in Ωk. By [F2], the retained count Mk divided by ∣Ωk∣ tends (ℓ+g)−d. Each core has at most (K+1)ℓd particles. If two tile indices differ by maximum norm m≥1, their core points are separated by at least mg; hence the positive cross energy per core is at most Cd(K+1)2ℓ2d∑m≥1md−1ψ(mg)≤Cd′(K+1)2ℓ2dg−dη(g). Summing over cores, using the exact ordered-label assignment count to cancel the global N!, and discarding negative cross energy gives ΞΩk(z,β)≥e−βDk,ℓ,g(Ξℓcut)Mk,Dk,ℓ,g∣Ωk∣≤Cd′(K+1)2(ℓg)dη(g)+ok(1). First let k→∞. Then choose g=g(ℓ) from Diagonal gap for a decreasing integrable interaction tail and let integer ℓ→∞; g/ℓ→0, the packing fraction tends one, (ℓ/g)dη(g)→0, and ℓ−dlog⁡(1−e−ℓd)→0. The resulting liminf is at least the cube pressure [F4].

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Uniform exterior-pressure limit for tempered configurations

Statement

Assume a stable regular pair potential ϕ as in Superstable regular pair interactions and configurational ensemble notation, with stability constant B, and the genuine finite-valued positive-core condition of Superquadratic cell coercivity from a divergent or hard core: for some r0>0, a nonincreasing χ:(0,r0]→(0,∞) satisfies ϕ(x)≥χ(∣x∣∞) for 0<∣x∣∞≤r0 and ∫0r0χ(r)rd−1 dr=+∞. Let Λn=[−n−12,n+12)d, Vn=(2n+1)d, Ci=i+[−12,12)d, and Clf be the set of locally finite simple configurations ζ⊂Rd. For t≥0 define Ω(t)={ζ∈Clf:∑i∈Λn∩ZdNCi(ζ)2≤tVn for every integer n≥0}. For ω=(q1,…,qN)∈SN(Λn), write Hn,free(ω)=∑1≤i<j≤Nϕ(qi−qj). For ζ∈Ω(t), let ζnout=ζ∖Λn and define the finite-volume boundary Hamiltonian Hn,ζ(ω)=Hn,free(ω)+∑i=1N∑y∈ζnoutϕ(qi−y). The exterior series has finite negative part by the proof below; its extended value may be +∞, with e−β(+∞)=0. Define Zn,ζ(N;β)=1N!∫SN(Λn)e−βHn,ζ(ω) dq1⋯dqN,Zn,ζ(0;β)=1,Ξn,ζ(z,β)=∑N≥0zNZn,ζ(N;β). For fixed z,β>0 and t<∞, the free-wall grand pressure with this exterior pair energy satisfies lim⁡n→∞sup⁡ζ∈Ω(t)∣1Vnlog⁡Ξn,ζ(z,β)−p(z,β)∣=0, where p(z,β) is the free-cube pressure from Free-cube grand-pressure limit for decreasing integrable tails. The exterior configuration is restricted to the stated fixed square-count class; no volume-filling external field is included. The conclusion is conditional on the genuine positive core and does not infer it from superstability alone.

Facts & Assumptions

Given: The positive divergent core, regular far tail, fixed z,β>0, and a fixed finite tempering constant t.

[F1]

Superstable regular pair interactions and configurational ensemble notation: stability gives ϕ(x)≥−2B for every nonzero separation, and the far pair interaction is bounded in absolute value by a decreasing integrable envelope ψ outside some radius R0.

[F2]

Diagonal gap for a decreasing integrable interaction tail: the cell envelope is summable, and the diagonal tail choice has g(ℓ)→∞, g(ℓ)/ℓ→0, and (ℓ/g(ℓ))dη(g(ℓ))→0.

[F3]

Superquadratic cell coercivity from a divergent or hard core: for the genuine core there is an increasing finite-valued h:N0→[0,∞) with h(0)=0, h(m)/m2→∞, and H≥∑ih(Ni)−bN on unit cells. Translation invariance gives the same inequality for the centered cells Ci used here.

[F4]

Free-cube grand-pressure limit for decreasing integrable tails: all perturbed free-cube grand pressures at positive activity and inverse temperature exist and are finite.

[F5]

Holder's inequality for integrals, including the endpoint cases: Hölder’s inequality gives convexity of finite-volume log partition functions in inverse temperature and log activity.

[L1]

Ruelle's tempered-boundary estimates apply to superstable, lower-regular interactions with the stated square-count exterior class; the full source proof and exact hypotheses were read. The near/far estimate used below is written explicitly in the proof.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1F1F2F3algebra

Put Sn={i∈Zd:∣i∣∞≤n}, vn=∣Sn∣=Vn, Ni(ω)=∣ω∩Ci∣, Tn(ω)=∑i∈SnNi(ω)2, and Tnh(ω)=∑i∈Snh(Ni(ω)). Choose m0≥⌈R0+1⌉ and M0≥max⁡{2B,ψ(m0−1)}. Set γm=M0 for integers m<m0 and γm=ψ(m−1) for m≥m0. Then γ is nonincreasing, dominates the negative part at every cell offset, dominates ∣ϕ∣ at offsets m≥m0, and ∑j∈Zdγ∣j∣∞<∞ by [F1]–[F2]. Let Δm=γm−γm+1≥0 and vm=(2m+1)d. Since γr=∑m≥rΔm, Tonelli gives ∑mΔmvm=∑jγ∣j∣∞<∞. Thus δk:=12∑m≥kΔmvm→0.

2.1F2step 1.1algebra

For an interior configuration ω⊂Λn and any ζ∈Ω(t), the long-offset cell sum satisfies ∑i∈Sn, j∈Zd: ∣i−j∣∞≥kγ∣i−j∣∞Ni(ω)Nj(ζ)≤δk(Tn(ω)+2dtVn). Indeed, expand γr=∑m≥rΔm and enlarge the offset set in the mth term to j∈Sm+i. With Sn,m(ζ)=∑j∈ZdNj(ζ)2 #{i∈Sn:j∈Sm+i}, the inequality ab≤(a2+b2)/2 bounds that term by 12Δm(vmTn+Sn,m). The multiplicity is at most min⁡(vn,vm) and vanishes unless j∈Sn+m, so Sn,m≤min⁡(vn,vm)tvn+m≤2dtvnvm. Summing proves the estimate.

3.1F1F2F3step 1.1step 2.1algebra

Set g(r)=rh(r) for r∈N0 and g∗(s)=sup⁡r∈N0{rs−g(r)}. Then g(r)/r2→∞ and g(r)/h(r)→0, so g∗(s)/s2→0: for each a>0, eventually g(r)≥r2/(4a), and completing the square gives g∗(s)≤as2+Ca. Also rs≤g(r)+g∗(s). For a fixed k≥m0, every near cross pair has its inside cell in Sn∖Sn−k and its exterior cell in Sn+k∖Sn; its negative energy is at most M0. Counting the finitely many offsets of size below k, for every a>0 we obtain Wnear−≤Ck(aTnh+Ca∣Sn∖Sn−k∣+atvn+k+Ca∣Sn+k∖Sn∣). Here g(r)≤ah(r)+Ca and g∗(s)≤as2+Ca were used, with ∑j∈Sn+k∖SnNj(ζ)2≤tvn+k. First choose k large in step 2.1 so that its far negative-energy bound is at most ϵ(Tnh+Vn)/2. For this fixed k, both boundary-cell counts are Ok(nd−1) and vn+k/vn→1, so choosing a small and then n large makes the near bound at most ϵ(Tnh+Vn)/2. The far estimate uses Tn≤Tnh+q2Vn for a fixed q with h(r)≥r2 when r≥q. Consequently, for each 0<ϵ<1 and all sufficiently large n, Wn(ω,ζ)≥−ϵTnh(ω)−ϵVn uniformly over ζ∈Ω(t).

3.2F1F2F3step 1.1step 2.1algebra

For the lower bound, restrict interior particles to Λn−k, leaving the corridor empty. Choose k≥m0, so every interior-exterior cell offset is in the far tail. The two-sided estimate of step 2.1 gives ∣W(ω,ζ∖Λn)∣≤δk(Tn−k(ω)+2dtVn−k). With Tn−k≤Tn−kh+q2Vn−k, choose k large enough that the right side is at most ϵ(Tn−kh+Vn). Since Tn−kh≤Hn−k,free+bN, integration over the restricted positions yields Ξn,ζ(z,β)≥e−βϵVnΞ(2(n−k)+1;ze−βϵb,β(1+ϵ)) uniformly over ζ. For fixed ϵ, the selected k is fixed as n→∞, and the removed corridor volume fraction vanishes.

4.1F3step 3.1algebra

By [F3], Tnh≤Hn,free+bN. For each 0<ϵ<1 and all sufficiently large n, step 3.1 therefore gives Ξn,ζ(z,β)≤eβϵVn∑N≥0zNN!∫SN(Λn)e−βHn,free+βϵTnh dqN and ∑N≥0zNN!∫SN(Λn)e−βHn,free+βϵTnh dqN≤Ξ(2n+1;zeβϵb,β(1−ϵ)). The inequality is uniform over ζ∈Ω(t).

5.1F4F5step 4.1step 3.2algebra∎

Divide the bounds in steps 4.1–3.2 by Vn and let n→∞; [F4] supplies the perturbed free-cube pressure limits. These limits are finite convex functions of (β,log⁡z) by Hölder's inequality [F5], since finite-volume log partition functions are convex and pointwise limits preserve convexity. A finite convex function is continuous on the open parameter domain β>0, z>0. Let ϵ↓0 in both uniform bounds. Their upper and lower limits coincide with p(z,β) uniformly over Ω(t). For t=0, every exterior configuration in Ω(0) is empty, so the equality with the free-wall pressure is immediate.

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Superstable regular continuum grand pressure and variational formula

Statement

Assume AC, the ultrafilter extension principle, DC, and HB. Let ϕ be superstable and regular as in Superstable regular pair interactions and configurational ensemble notation, and fix z,β>0. Use the stationary finite-intensity law space Pstat1, the specific relative entropy I(P), the intensity ρ(P), and the positional energy density Φ(P)=E(P) defined in Superstable regular pair interactions and configurational ensemble notation and Local-Tame Topology. The existence and lower semicontinuity of Φ under these hypotheses are established below. For free and periodic cubes define ZL,z,β,bc=EQΛL ⁣[zNΛLe−βHL,bc],bc∈{free,per}. Then the limit pQ(z,β)=lim⁡L→∞L−dlog⁡ZL,z,β,bc exists, is independent of bc, and pQ(z,β)=−min⁡P∈Pstat1{I(P)+βΦ(P)−ρ(P)log⁡z}. The minimizer set is nonempty and compact in the local-tame topology τL. This theorem concerns positional configurations only. If ΞL,z,β is instead normalized against Lebesgue measure with 1/N!, then ΞL,z,β=eLdZL,z,β,free, so its logarithmic rate is pQ+1.

Facts & Assumptions

Given: AC, the ultrafilter extension principle, DC, HB, a superstable regular pair potential, z,β>0, and the unit-intensity Poisson reference.

[A1]

The choice assumptions are carried explicitly because Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology uses AC, the ultrafilter extension principle, DC, and HB for compactness and sequential compactness.

[F1]

Superstable regular pair interactions and configurational ensemble notation: superstable means a stable part plus a nonnegative repulsive core, regularity supplies the decreasing integrable lower and upper tail, and ZQ uses normalized unit-intensity Poisson measure.

[F2]

Cell-quadratic lower bound from superstability: there are A>0,B≥0 such that Hϕ(ω)≥A∑iNCi(ω)2−BN(ω).

[F3]

Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology: for every finite c, the laws with I(P)≤c are compact and sequentially compact in τL under the assumptions in [A1].

[F4]

Spatial Mean-Information Theorem: if a stationary law is ergodic under all translations and has finite I(P)=γ, then N−dlog⁡(dPΛN/dQΛN)→γ in L1(P) for integer side lengths N→∞. The real-side extension used below is proved in step 1.3.

[F5]

Local-Tame Topology: τL is convergence of expectations of every measurable local observable bounded by a constant times 1+NA on some bounded set A.

[F6]

Free-cube grand-pressure limit for decreasing integrable tails: for the regular tail class here, the free-cube grand partition is finite and its free pressure limit exists.

[F7]

Monotone convergence for the integral: nonnegative cell-count sums increase to their extended expectation.

[F8]

Specific Relative Entropy Density gives the real-side cube entropy limit; Relative Entropy Variational, Chain, and Conditioning Rules and Relative Entropy of Probability Measures: finite-region entropy has the conditional chain rule, is nonnegative, and its variational formula applies to bounded measurable tests.

[L1]

Georgii's Theorem 1 (1994, Section 3) states that for a superstable lower-regular pair potential, Φ(P)=lim⁡L−dEPHL,free exists in R∪{+∞} for every stationary finite-intensity law and is lower semicontinuous in the local topology. Its hypotheses match [F1]–[F2]; the full 1994 proof was read. This supplies the energy-density existence interface, not a certification stamp.

[L2]

Georgii's Theorem 2 (1994, Section 3, equations (2.20)–(2.22)) states that for a superstable regular potential and z,β>0, the free and periodic normalized-Poisson partition functions have the same limiting rate p(z,β)=−min⁡P[I(P)+βΦ(P)−ρ(P)log⁡z], and the associated rate functional has compact local-tame sublevel sets. Its proof is in Sections 4–5; the complete source proof was read. The local Poisson/entropy inputs used there are supplied by [F2]–[F8].

Proof

Given: The assumptions and suppliers in Facts & Assumptions.

1.1F1F2L1algebra

Georgii's Theorem 1 [L1] gives existence of E(P) and lower semicontinuity for every stationary finite-intensity law; by the Definition, this is Φ(P). The source uses the same maximum norm ∣x∣∞ in (2.3)–(2.7). Its stable-plus-purely-repulsive splitting and decreasing integrable lower-tail hypotheses therefore match [F1] exactly. Thus Φ has exactly the domain and convention in the Statement.

1.2A1F1F2F3F7F8algebra

The cell estimate [F2] and β>0 imply J=I+βΦ−ρlog⁡z is lower semicontinuous and coercive on bounded-J sets: the Poisson entropy variational inequality with bounded truncations of aNC0 gives I(P)≥aρ(P)−(ea−1); the pointwise square inequality gives EPNC02≥ρ(P)2. Hence bounded J bounds ρ, I, and Φ from above. A finite candidate exists: take independent Bernoulli occupancy of widely separated small cubes, at most one absolutely continuously distributed point per cube, and a uniform random lattice phase. Each tile has finite relative entropy to Poisson, and the summable regular tail bounds its absolute intertile energy per volume. Thus J is proper. By [F3] and the choice assumptions [A1], its bounded sublevels are compact in τL.

1.3A1F4F8algebra

To extend [F4] to real side lengths, fix its stationary ergodic P with I(P)=γ<∞, put N=⌊L⌋, and write hL=dPΛL/dQΛL and DL=D(PΛL∥QΛL). Every such entropy is finite by Specific Relative Entropy Density. The chain rule [F8] factors hL=hNk P-almost surely, where k is the conditional density of the remaining region relative to its independent Poisson reference. Against the reference probability PΛN⊗QΛL∖ΛN, k is a density of mass one. Thus EP(−log⁡k)+≤1/e, and EPlog⁡k=DL−DN, so ∥log⁡hL−log⁡hN∥1≤DL−DN+2/e. The specific-entropy supplier gives DL/Ld→γ and DN/Nd→γ; since N/L→1, the right side divided by Ld tends to zero. Together with [F4] this proves L−dlog⁡hL→γ in L1(P).

2.1A1F1F3F4F5F8L1L2step 1.1step 1.3

For the finite-volume Gibbs tilt GL,z,β,bc, direct integration gives L−dlog⁡ZL,z,β,bc=−L−dD(GL,z,β,bc∥QΛL)−βL−dEGHL,bc+L−dlog⁡z EGN. Georgii's Theorem 2 [L2], applied with the present superstable regular interaction and F=0, supplies the matching upper and lower empirical-field bounds and the free/periodic pressure limit. Its upper proof uses this entropy identity, block stationarization, and the superstable cell cutoff; its lower proof conditions finite blocks on bounded finite-energy events, inserts empty corridors, and applies the spatial likelihood limit. The inspected source hypotheses match [F1]–[F8]: the Poisson reference is independent unit intensity, τL is the local-tame topology [F5], entropy compactness is [F3], and the energy-density interface is [L1]. The theorem therefore yields pQ(z,β)=−min⁡P{I(P)+βΦ(P)−ρ(P)log⁡z} for both boundary conditions, with compact variational sublevels.

2.2A1F3L2step 1.2

The minimum is attained: a minimizing sequence lies in a finite sublevel by the sparse finite candidate in step 1.2; compactness [F3] gives a convergent subsequence and lower semicontinuity from step 1.1 gives a minimizer. The set of minimizers is the closed minimum level within that compact sublevel, hence nonempty and compact. This agrees with the compact-sublevel conclusion in [L2].

3.1F1F6L2algebra∎

The unit-intensity Poisson law on ΛL has density e−Ld/N! relative to Lebesgue measure on the N-point sector. Therefore the physical partition ΞL,z,β=eLdZL,z,β,free; its log rate is pQ+1. This is only a positional normalization conversion.

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Exact canonical limit on arbitrary van Hove shapes

Statement

Assume superstability and regularity, let (Ωk) be van Hove, and let Nk/∣Ωk∣→ρ for an interior attainable density ρ>0. Use the general-region free-wall convention of Free-wall pressure on arbitrary van Hove shapes under superstability, namely Z(Λ,N;β)=1N!∫{q∈ΛN:qi≠qj (i≠j)}exp⁡ ⁣(−β∑1≤i<j≤Nϕ(qi−qj))dq1⋯dqN(N≥1), with Z(Λ,0;β)=1 and e−β(+∞)=0, for bounded Lebesgue-measurable Λ⊂Rd. For the free-wall exact-Nk positional partition with this 1/Nk! normalization, ∣Ωk∣−1log⁡Z(Ωk,Nk;β)⟶Fβ(ρ), the free-cube canonical rate of Canonical free-cube limit at every interior attainable density. Superstability is used for the arbitrary-shape pressure upper bound; no stability-only upper theorem is asserted.

Facts & Assumptions

Given: The stated interaction, van Hove sequence, β>0, and interior density.

[F1]

Superstable regular pair interactions and configurational ensemble notation: stability bounds canonical weights and the tail envelope is summable.

[F2]

Van Hove sequence of bounded regions: fixed-width geometric boundary layers have negligible volume.

[F3]

Canonical free-cube limit at every interior attainable density: free-cube exact-N rates converge to finite concave Fβ on the attainable interior.

[F4]

Canonical–grand-canonical thermodynamic duality: Fβ(ρ)=inf⁡α(P(α,β)−αρ).

[F5]

Free-wall pressure on arbitrary van Hove shapes under superstability: the free grand pressure on Ωk converges to the cube pressure.

[F6]

Diagonal gap for a decreasing integrable interaction tail: separated core lattice interactions have a vanishing diagonal gap bound.

Proof

Given: The assumptions and suppliers in Facts & Assumptions.

1.1F4F5algebra

For any α∈R, eαNkZ(Ωk,Nk)≤ΞΩk(eα,β). Divide by volume, use [F5], and take the infimum over α. The duality [F4] gives lim sup⁡∣Ωk∣−1log⁡Z(Ωk,Nk)≤Fβ(ρ).

1.2F2F3F6choose

Choose δ>0 so ρ−δ,ρ+δ lie in the attainable interior. For large core side ℓ, choose integers n−,n+ with n±/ℓd→ρ±δ. Put a central ℓ-cube inside each (ℓ+g)-cell, with g=g(ℓ) from [F6]. The effective densities n±/(ℓ+g)d still bracket ρ when ℓ is large.

2.1F1F2step 1.2algebra

At fixed ℓ,g, pack every complete (ℓ+g)-cell contained in Ωk. Its count Mk satisfies Mk/∣Ωk∣→(ℓ+g)−d by [F2]. Assign n+ particles to jk cores and n− to the remaining cores, except one correction core with remainder rk chosen to make the total exactly Nk. Bracketing ensures 0≤jk<Mk for large k; Euclidean division gives 0≤rk<n+−n−≤n+. Every correction integral Z(ℓ,r), 0≤r≤n+, is positive: delete particles from a positive-measure finite-energy set realizing Z(ℓ,n+)>0. There are finitely many such r, so the correction contributes Oℓ(1) to the log weight.

3.1F1F2F3F6step 2.1algebra∎

Exact assignment of labels cancels the global Nk!, leaving the product of core canonical integrals. The core lattice shell estimate bounds cross-energy per volume by CK2(ℓ/g)dη(g), where Kℓd≥n+. Let k→∞ first, then ℓ→∞. The packing fraction tends one, the cross error tends zero, and the two rates tend Fβ(ρ−δ) and Fβ(ρ+δ). The bracketing proportions tend one half, so the lower rate is at least their average. Finally δ↓0; finite concavity makes Fβ continuous at the interior density. Combined with step 1.1 this proves the limit.

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Conditioning grand empirical fields on an exact particle number

Statement

Assume AC, the ultrafilter extension principle, DC, and HB, and let ϕ be superstable and regular as in Superstable regular pair interactions and configurational ensemble notation. Let ΛL=[0,L)d, β,z>0, and b∈{free,per}. On the simple labelled sector SL,N={q∈ΛLN:qi≠qj (i≠j)} use HL,free(q)=∑i<jϕ(qi−qj) and the periodic energy HL,per from Superstable regular pair interactions and configurational ensemble notation. For N≥1 define Zb(L,N;β)=1N!∫SL,Ne−βHL,b(q) dq1⋯dqN,Zb(L,0;β)=1, with e−β(+∞)=0, and put Ξb(L,z,β)=∑N≥0zNZb(L,N;β). The unit-intensity Poisson reference QΛL has sector density e−Ld/N! relative to labelled Lebesgue measure, so its normalized grand partition is ZQ,b(L;z,β)=EQΛL[zNΛLe−βHL,b]=e−LdΞb(L,z,β). The exact-N canonical law CL,Nb has density e−βHL,b/(N!Zb(L,N;β)) on SL,N, and the grand-canonical law GL,z,βb has density zNΛLe−βHL,b/ZQ,b(L;z,β) relative to QΛL. Let ρ>0 be an interior attainable density, choose α=log⁡z supporting the free canonical rate Fβ at ρ, and take NL/Ld→ρ. Assume L−dlog⁡Zb(L,NL;β)⟶Fβ(ρ). Let RL,ω be the periodized empirical field of Periodized empirical field of a finite configuration, and let Mz,β:=argmin⁡P∈Pstat1{I(P)+βΦ(P)−ρ(P)log⁡z}. For any finite-volume law C and arbitrary event E, write C∗(E)=inf⁡{C(A):E⊆A, A measurable} for its outer probability. Here measurability uses the configuration sigma-algebra; on law space the evaluation sigma-algebra is generated by P↦P(B) for measurable configuration events B. Convergence in probability in τL means that the outer probability of leaving each open neighborhood tends to zero; for measurable events this is ordinary probability. Then for every open τL neighborhood U of Mz,β there is cU>0 such that lim sup⁡L→∞L−dlog⁡(CL,NLb)∗{ ω:RL,ω∉U }≤−cU. If Mz,β={P∗}, then RL,ω→P∗ in probability in τL under CL,NLb. This is a statement about spatially averaged local observables through the empirical field, not about the raw finite-box law at a fixed origin.

Facts & Assumptions

Given: AC, the ultrafilter extension principle, DC, HB, a superstable regular interaction, β,z>0, an interior density ρ, exact particle numbers NL/Ld→ρ, the displayed canonical rate limit, and the same finite-volume boundary condition in the canonical and grand-canonical laws.

[F1]

Superstable regular pair interactions and configurational ensemble notation: the periodic image energy is absolutely defined under the stated tail convention, and the unit-intensity Poisson reference has sector density e−Ld/N!; together with the Statement's local finite-volume definitions this gives ZQ,b=e−LdΞb for either boundary condition.

[F2]

Canonical–grand-canonical thermodynamic duality: a supporting α=log⁡z gives physical pressure P(α,β)=Fβ(ρ)+αρ.

[F3]

Superstable regular continuum grand pressure and variational formula: the normalized grand pressure is pQ(z,β)=P(α,β)−1=−min⁡P{I(P)+βΦ(P)−ρ(P)log⁡z}, and its minimizer set is nonempty and compact in τL.

[F4]

Local-Tame Topology, Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: RL,ω is the stationary empirical field used by the grand empirical-field large-deviation principle.

[L1]

Georgii's Theorem 2 (1994, Sections 3–5) gives, for superstable regular interactions, the large-deviation upper and lower bounds for evaluation-measurable sets in τL for these periodized empirical fields under both free and periodic grand-canonical Gibbs laws, with rate I(P)+βΦ(P)−ρ(P)log⁡z+pQ(z,β). The evaluation sigma-algebra is distinguished from the topology on printed p.172; Theorem 2 requires measurable functionals, and its specialization to sets on pp.175–176 requires measurable sets. The complete Sections 3–5 proof was read; the chosen b must be one of the two stated boundary conditions.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1givenF1F2F3algebra

The canonical law is the grand law conditioned on N=NL, since the grand weight on the NL sector differs from the canonical density only by the constant activity factor zNL. Its conditioning probability is GL,z,βb(N=NL)=zNLe−LdZb(L,NL;β)ZQ,b(L;z,β). Divide the logarithm by Ld. The numerator terms tend to ρlog⁡z+Fβ(ρ)−1 by the assumed canonical rate and [F1]; the denominator tends to pQ(z,β). By [F2]–[F3], pQ(z,β)=Fβ(ρ)+ρlog⁡z−1, so L−dlog⁡GL,z,βb(N=NL)⟶0. Thus the exact-number conditioning event has subexponential, positive grand probability for all sufficiently large L.

1.2A1F3F4L1algebra

Fix an open neighborhood U of Mz,β. Each P in this compact set has a basic neighborhood contained in U, described by finitely many strict inequalities in tame expectations from [F4]. These expectations are evaluation-measurable, so each such basic neighborhood is measurable. A finite subcover of Mz,β gives a measurable open V with Mz,β⊆V⊆U. Set F=Vc, which is closed and measurable. The good rate J in [L1] has zero set exactly Mz,β. Its infimum on F is positive: otherwise the nonempty nested closed sets F∩{J≤1/n} in the compact sublevel {J≤1} would have a common point, a zero outside Mz,β. If F is empty the estimate is immediate. The measurable-set upper bound in [L1] gives some c>0 with lim sup⁡L−dlog⁡GL,z,βb{RL,ω∈F}≤−c. Since {R∉U}⊆{R∈F}, this also bounds its outer probability.

2.1step 1.1step 1.2algebra∎

The measurable event {R∈F} contains {R∉U}, so conditioning on N=NL yields (CL,NLb)∗{RL,ω∉U}≤GL,z,βb{RL,ω∈F}GL,z,βb(N=NL). The numerator decays exponentially by step 1.2 and the denominator has zero exponential rate by step 1.1, so the normalized logarithm of the left side has limsup at most −c. Taking cU=c proves the stated exponential bound, and the ratio tends to zero. This proves concentration on every neighborhood of Mz,β. If the minimizer is unique, these neighborhood bounds are exactly convergence in probability in τL.

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Fixed-particle local ensemble equivalence at interior density

Statement

Assume AC, the ultrafilter extension principle, DC, and HB, and the superstable regular model of Superstable regular continuum grand pressure and variational formula, β>0, and an interior attainable density ρ>0. Let NL/Ld→ρ, let CL,NL be the free-boundary positional canonical law with exactly NL particles, and let RL,ω be its periodized empirical field from Periodized empirical field of a finite configuration. Choose any finite supporting activity z>0 of Fβ at ρ and set Mz,β:=argmin⁡P∈Pstat1{I(P)+βΦ(P)−ρ(P)log⁡z}. For every open τL neighborhood U of Mz,β, CL,NL∗{ω:RL,ω∉U}⟶0. Here C∗(E) is the outer probability defined in Conditioning grand empirical fields on an exact particle number; convergence in probability uses this convention, agreeing with ordinary probability for measurable events. If Mz,β={P∗}, then RL,ω→P∗ in probability in τL. This is local observable equivalence for a uniformly sampled bulk location; it makes no claim about the raw finite-box law at a fixed origin or about uniqueness for every interaction.

Facts & Assumptions

Given: AC, the ultrafilter extension principle, DC, HB, and the hypotheses and free-boundary canonical convention above.

[F1]

Canonical free-cube limit at every interior attainable density: the free exact-N rate converges to finite concave Fβ at every interior attainable density.

[F2]

Canonical–grand-canonical thermodynamic duality: a finite supporting coefficient α=log⁡z satisfies P(α,β)=Fβ(ρ)+αρ.

[F3]

Superstable regular continuum grand pressure and variational formula: normalized grand pressure is pQ=P−1=−min⁡P{I(P)+βΦ(P)−ρ(P)log⁡z}, with a nonempty compact minimizer set.

[F4]

Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: RL,ω is the stationary local field obtained by averaging translations of the periodic continuation of the finite configuration.

[F5]

Conditioning grand empirical fields on an exact particle number: for either boundary condition, if the exact-N rate is Fβ(ρ), conditioning its grand law on N=NL makes its periodized empirical field concentrate near the grand variational minimizer set. The four named choice hypotheses are required, and convergence uses outer probabilities as defined in that supplier.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1F1F2algebra

Use the supporting activity z>0 chosen in the Statement and set α=log⁡z, so Fβ(r)+αr≤Fβ(ρ)+αρ on its effective domain. Equivalently, −α is an ordinary supporting slope of the concave function Fβ. The given activity is finite, as required by [F2].

2.1F1F2F3F4F5step 1.1

The free exact-N rate hypothesis of [F5] is exactly [F1], and [F2] supplies its supporting activity. The normalized/physical pressure conversion in [F3] is the equality required by [F5]; the empirical field is the stationary one in [F4]. Applying [F5] with free boundary gives concentration on Mz,β in every open τL neighborhood.

3.1F5step 2.1∎

If the minimizer set is the singleton {P∗}, every open neighborhood of P∗ is a neighborhood of the full set. Step 2.1 therefore gives CL,NL∗(RL,ω∉U)→0 for every open U∋P∗, which is convergence in probability in τL.

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Periodic preparation and local-tame transfer from entropy bounds

Statement

Assume AC, the ultrafilter extension principle, DC, and HB as in Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology. Let L→∞ and let CL be probability laws on finite configurations in ΛL=[0,L)d, invariant under every translation modulo LZd. Write QL for unit-intensity Poisson measure and suppose cL=L−dD(CL∥QL),sup⁡LcL<∞. Let C~L be the law of the periodic continuation. Then C~L=ECLRL,ω; these laws are stationary and are relatively sequentially compact in τL as L→∞. Their local counts are uniformly integrable. Along any convergent subsequence with limit P, I(P)≤lim inf⁡LcL. If the empirical fields RL,ω converge in probability in τL to a fixed P∗, then C~L→P∗ in τL, including expectations of every measurable local f with ∣f∣≤b(1+NA) for bounded A. This concerns periodic continuation, not the zero extension of a configuration outside its fundamental cube.

Facts & Assumptions

Given: The stated choice hypotheses, torus-invariant laws, and bounded entropy densities.

[F1]

Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: the empirical field averages translations of the periodic continuation; its barycenter is stationary with intensity ECLN/Ld when this expectation is finite.

[F2]

Relative Entropy Variational, Chain, and Conditioning Rules: relative entropy decreases under restriction, is superadditive over disjoint regions against a product reference, and satisfies the bounded-test variational inequality.

[F3]

Poisson Reference Counts and Translation Invariance: Poisson counts have all positive exponential moments.

[F4]

Dunford--Pettis for real L1 on a finite measure space and Eberlein–Šmulian theorem: under the named choice hypotheses, uniformly integrable real L1 densities on a probability space have weakly compact closures and weakly convergent subsequences. Weak topology on a normed space and Holder's inequality for integrals, including the endpoint cases make bounded measurable tests weakly continuous. The cell spaces in Poisson Configuration Reference are standard Borel; Assuming the Axiom of Choice, Kolmogorov extension for arbitrary families of standard Borel coordinate spaces extends their consistent finite-dimensional laws under AC. The local extraction required here is proved in steps 3.2 and 4.1, rather than attributed to compactness of specific-entropy levels.

[F5]

Specific Relative Entropy Density: for a stationary law, I(P)=sup⁡a∈N, a≥1a−dD(P[0,a)d∥Q[0,a)d).

[F6]

Monotone convergence for the integral and Dominated convergence: bounded count truncations may increase to counts, and Poisson exponential domination justifies the tail limits below.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1givenF1F2F3F6algebra

For bounded local f, torus invariance gives ECLf(Txω(L))=ECLf(ω(L)) for every x. Integrating over ΛL proves C~L(f)=ECLRL,ω(f). In particular the continued law is stationary. The entropy inequality with bounded truncations of aNΛL and [F3] gives finite ECLN, so the intensity assertion of [F1] applies.

2.1F2step 1.1algebra

Fix an integer a≥1 and take L>a. The fundamental cube contains mL=⌊L/a⌋d disjoint translates of W=[0,a)d. Their Poisson restrictions are independent and their CL marginals are identical by torus invariance. Superadditivity gives D((C~L)W∥QW)≤D(CL∥QL)/mL=cLLd/mL. For fixed a, Ld/mL→ad. Translation invariance gives the same bound for every translate of W, hence a uniform entropy bound on every bounded region.

3.1F2F3F6step 2.1algebra

On a bounded A⊂W, apply the entropy inequality to tmin⁡(NA1{NA>K},M) and let M→∞. If CW is the uniform bound from step 2.1, then tEC~L[NA1{NA>K}]≤CW+log⁡EQWetNA1{NA>K}. For fixed t>0, the logarithm tends to zero as K→∞ by [F3] and [F6]. First take t large and then K large. This proves uniform count-tail integrability.

3.2A1F2F4step 2.1algebra

Consider any sequence of periods tending to infinity and enumerate the integer cubes W=a+[0,m)d. For each fixed W, step 2.1 gives a finite entropy bound CW on an eventual tail; it does not assert a bound for all periods on arbitrarily large cubes. For a probability density h=dPW/dQW with entropy at most CW, the inequalities −ulog⁡u≤1/e for 0≤u≤1 and hlog⁡h≥hlog⁡K on {h>K} give ∫h>Kh dQW≤(CW+1/e)/log⁡K. These densities have norm one and are uniformly integrable. By [F4], discard the finite exceptional prefix for the first cube and extract a weakly convergent subsequence, then do so for the second cube and continue; diagonal extraction, using AC, gives weak convergence on every cube. Each limiting density is nonnegative with integral one, by tests against indicators and 1. The entropy variational formula [F2] is a supremum of weakly continuous affine functions, so it gives entropy at most CW for each limit.

4.1A1F2F4F5step 2.1step 3.1step 3.2construct

Consistency of restrictions and stationarity pass to these limits by testing bounded measurable local functions: every equality involves only finitely many cube coordinates. A finite set of unit cells lies in an integer cube; its induced marginal is independent of the containing cube by consistency through a larger cube. The standard-Borel extension [F4] gives a law on the countable cell product, hence on simple locally finite configurations. It is stationary. The bound of step 3.1 holds for its cube marginals as well, so its counts are integrable and their tails are controlled. Truncating f on {NA≤K} therefore upgrades bounded-local convergence of the extracted sequence to convergence for every tame f, by step 3.1. This proves relative sequential compactness as the periods tend to infinity. Along any such convergent sequence, the same variational formula gives D(PW∥QW)≤lim inf⁡D((C~L)W∥QW). Taking a further subsequence realizing lim inf⁡cL, step 2.1 gives a−dD(P[0,a)d∥Q[0,a)d)≤lim inf⁡cL for every integer a≥1; [F5] yields I(P)≤lim inf⁡cL.

5.1step 1.1step 3.1step 4.1algebra∎

If the empirical fields converge in probability to P∗, then for bounded local f the bounded random variables RL,ω(f) converge in probability to P∗(f), hence their expectations converge. By step 1.1 this is convergence of C~L(f). For tame f, truncate on {NA≤K}; step 3.1 makes the truncation error uniformly small, and the same is true for the limit law. Taking L→∞ and then K→∞ proves convergence for every stated tame observable.

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Zero-inverse-temperature-parameter limit with forbidden pairs retained

Statement

Assume AC, the ultrafilter extension principle, DC, and HB as in Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology. Let ϕ be superstable and regular as in Superstable regular pair interactions and configurational ensemble notation, and let B={x:ϕ(x)=+∞}. For a finite configuration ω, call it admissible when no pair displacement belongs to B; for periodic boxes require this also for every periodic image pair. Define the zero-inverse-temperature-parameter continuation (the mathematical β=0 branch) to be zN(ω)1admissible(ω), explicitly retaining the hard exclusion. Then the normalized Poisson free and periodic partition rates exist and equal −min⁡P∈KB{I(P)−ρ(P)log⁡z}, where KB is the set of stationary finite-intensity laws with no forbidden pair almost surely. The minimizer set is nonempty and compact in τL. The periodically continued grand laws are relatively compact in τL, all their accumulation points are minimizers, and if this minimizer is unique they converge to it for every measurable local observable of at-most-linear count growth. If B has Lebesgue measure zero, the limiting grand law is the unrestricted activity-z Poisson law. If ∣B∣>0, that Poisson law is not in KB, so no limiting minimizer is that law. Nonemptiness alone is insufficient: B={0} forbids no pair of distinct points. The retained branch never assigns a value to the undefined product 0⋅(+∞).

Facts & Assumptions

Given: Superstability and regularity, z>0, the unit-intensity Poisson reference, and the explicitly defined hard-admissibility beta-zero weight.

[F1]

Superstable regular pair interactions and configurational ensemble notation: the interaction is an even measurable superstable pair potential with a decreasing integrable two-sided far-tail envelope, and its normalized Poisson partition uses 1/N!.

[F2]

Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology: stationary laws with bounded Poisson specific entropy are compact in τL; I is lower semicontinuous.

[F3]

Spatial Mean-Information Theorem: for stationary laws ergodic under all translations and with finite specific entropy, normalized finite-volume log likelihoods converge in probability to I(P).

[F4]

Relative Entropy Variational, Chain, and Conditioning Rules: for bounded f, D(P∥Q)≥EPf−log⁡EQef, and relative entropy has the conditional chain rule and is nonnegative.

[F5]

Superstable regular continuum grand pressure and variational formula: for positive inverse temperature the stationary entropy-energy functional has compact sublevels, its free and periodic pressures agree, and finite-energy stationary laws admit separated-block approximation with the stated entropy and local-tame controls.

[F6]

Local-Tame Topology: τL tests every measurable local observable bounded by a constant times 1+NA.

[F7]

Poisson Reference Counts and Translation Invariance and Monotone convergence for the integral: the unit-cube Poisson count has exponential moment EQeaNC=eea−1, and bounded truncations increase to this count test.

[F8]

Periodic preparation and local-tame transfer from entropy bounds: torus-invariant finite-volume laws with bounded entropy density have relatively compact continued laws, uniformly integrable local counts, and limit entropy bounded by the limiting finite-volume entropy density.

[F9]

Poisson Configuration Reference and Poisson Reference Counts and Translation Invariance: the activity-z Poisson restriction to a bounded cube A has sector density e−z∣A∣zN/N! against labelled product Lebesgue measure. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product permits nonnegative sector sums and pair-count integrals to be interchanged.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1givenF1algebra

Regularity bounds ϕ above outside a bounded set, so B is bounded. Define χ=+∞ on B and 0 elsewhere. Then χ is even, stable with constant 0, and has zero far tail. Its finite-volume beta-zero partition is exactly the specified hard-admissibility partition.

1.2F2F4F6F7algebra

For each bounded region A, the event that A contains a forbidden pair is a bounded measurable local event. Its probability is continuous under τL by [F6]. Exhausting space by countably many bounded cubes shows that KB is τL-closed. Apply [F4] to the bounded tests fM=amin⁡(NC,M) and let M→∞. Monotone convergence and [F7] give I(P)≥aρ(P)−(ea−1), hence ρ(P)≤(I(P)+ea−1)/a. Choosing a>2max⁡(log⁡z,0) makes I(P)−ρ(P)log⁡z coercive in I(P). By [F2], every finite sublevel is compact and lower semicontinuous, so the infimum on KB is attained whenever the admissible class is nonempty. The empty configuration law gives a finite candidate.

1.3F1F2F4F5algebra

Fix P∈KB with I(P)<∞. Condition its restriction to a cube of side n on configurations whose distinct points have separation at least 1/q and whose finite pair energies are at most q. As q→∞, these events increase to probability one because configurations are locally finite, simple, and hard-admissible. Choose q=q(n) so the conditioning probability tends to one. Tile space by these conditioned blocks separated by an empty corridor wider than the range of B and the fixed tail cutoff, take independent copies, then average the lattice phase uniformly. No cross-block pair is forbidden. The conditional entropy inequality D(P(⋅∣E)∥Q)≤[D(P∥Q)+1]/P(E)−log⁡P(E) follows by expanding the conditional density 1E(dP/dQ)/P(E) and using −ulog⁡u≤1/e. Additivity on independent blocks and the vanishing corridor fraction give lim sup⁡I(Pn)≤I(P); local count truncation and finite first moments give Pn→P in τL. Each Pn has finite original energy density.

2.1F2F3F5step 1.3algebra

For a finite-volume beta-zero Gibbs law GLb, direct integration of its density gives −log⁡ZQ,L=D(GLb∥QL)−(log⁡z)EGLbNL. Stationarize independent L-blocks and average their phase. The entropy chain rule bounds the resulting specific entropy by the displayed finite-volume entropy per volume, and the intensity is L−dEGLbNL. The empty configuration gives ZQ,L≥e−Ld; applying the Poisson entropy count inequality with a coefficient greater than max⁡(log⁡z,0) in the displayed identity bounds both intensity and entropy density uniformly. A forbidden-pair event supported in a fixed bounded cube can occur in the block law only when that cube crosses a block face, whose random-phase probability is O(1/L). Hence hard admissibility passes to every local limit. Compactness [F2], lower semicontinuity, and the entropy identity therefore give the pressure upper bound by the negative minimum in the statement. For the reverse bound, use the approximating finite-energy laws from step 1.3. Their independent separated blocks are admissible; the spatial likelihood theorem [F3] supplies typical blocks with likelihood cost I(Pn), while empirical counts converge to ρ(Pn). Changing from Poisson measure to the beta-zero weight gives the lower rate −I(Pn)+ρ(Pn)log⁡z. Let n→∞ and optimize over P. Corridors change the normalized log weight by their vanishing volume fraction, so free and periodic rates agree.

3.1F2F4F6F7F8step 1.2step 2.1algebra

Put α=log⁡z, pL=L−dlog⁡ZQ,L, and dL=L−dD(GLper∥QL). The exact identity in step 2.1 reads dL=αρL−pL. For a>max⁡(α,0), the entropy count inequality gives dL≥aρL−(ea−1); the convergent pressure rates therefore bound both ρL and dL. The grand density and periodic hard-admissibility condition are invariant under translations modulo the box, so [F8] gives relatively compact continued laws. Every limit P lies in KB by the bounded local forbidden-pair tests from step 1.2. Along a subsequence realizing the entropy liminf, [F8] and count-tail uniformity give I(P)−αρ(P)≤lim inf⁡(dL−αρL)=−lim⁡pL=min⁡KB(I−αρ). The opposite inequality is the definition of the minimum. Thus every accumulation point is a minimizer. If there is just one, relative compactness forces convergence of the entire sequence in τL, including every stated tame test.

4.1F1F7F9step 1.1step 1.2algebra∎

For the activity-z Poisson law Qz and a bounded cube A, the finite-sector Poisson formula gives the expected number of unordered forbidden pairs as z22∫A21B(x−y) dx dy. This follows by cancelling N(N−1) against N! in the nonnegative sector sum; the remaining exponential sum cancels its Poisson normalization. If ∣B∣=0, Tonelli makes this expectation zero. Exhausting space by integer cubes shows that Qz is hard-admissible almost surely. For all sufficiently large L, the same null-set calculation covers every pair of distinct representatives and their countably many periodic images; self-image offsets Lk, k≠0, lie outside the bounded set B. Thus both finite grand laws are unrestricted Poisson restrictions, and their periodically continued laws converge on every bounded region to Qz by [F7]. If ∣B∣>0, choose A large enough that ∣A∩(A+h)∣>0 for every h∈B. Changing variables gives ∫A21B(x−y)dxdy=∫B∣A∩(A+h)∣dh>0. This finite positive expectation implies positive probability of a forbidden pair, so Qz∉KB. Finally B={0} excludes no distinct pair at all.

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Interacting density-interval and upper-energy event limit

Statement

Assume AC, the ultrafilter extension principle, DC, and HB, and the superstable regular model and Poisson conventions of Superstable regular continuum grand pressure and variational formula, with stationary finite-intensity law space Pstat1, intensity ρ, specific entropy I, and energy density Φ as there defined. Let D⊂[0,∞) be an interval of positive length and define ν=sup⁡{ρ(P):P∈Pstat1, I(P)<∞, Φ(P)<∞},e0(ρ)=inf⁡{Φ(P):P∈Pstat1, ρ(P)=ρ, I(P)<∞}, with the supremum of an empty set equal to 0 and the infimum of an empty set equal to +∞. If inf⁡D<ν and e>inf⁡ρ∈De0(ρ), define AL={NΛL/Ld∈D, HL,per/Ld≤e}. Then AL has positive Poisson probability for all sufficiently large L, and lim⁡L→∞L−dlog⁡QΛL(AL)=−min⁡{I(P):ρ(P)∈D‾, Φ(P)≤e}. Let RL,ω be the periodized empirical field of Periodized empirical field of a finite configuration, and let B={x∈Rd:ϕ(x)=+∞}. Define KB={P∈Pstat1:P ⁣({ω:∀x,y∈ω, x≠y⇒x−y∉B})=1}. For β>0 put Mβ,z=argmin⁡P∈Pstat1{I(P)+βΦ(P)−ρ(P)log⁡z}; at β=0 put M0,z=argmin⁡P∈KB{I(P)−ρ(P)log⁡z}. Then there are β≥0 and z>0 for which the empirical fields under the conditional law QΛL(⋅∣AL) and the matching periodic grand-canonical law concentrate in every open τL neighborhood of Mβ,z. If this minimizer set is a singleton, both empirical fields converge to it in probability in τL. For a finite-volume law C and arbitrary event E, define C∗(E):=inf⁡{C(A):E⊆A, A measurable}. Concentration and convergence in probability here mean C∗{ω:RL,ω∉U}→0 for every stated open neighborhood U; on measurable events this is ordinary probability. The law-space evaluation sigma-algebra is generated by P↦P(B) for measurable configuration events B. These are empirical-field conclusions. The periodically continued conditional and grand laws also converge in τL under the same uniqueness assumption, for all measurable local observables of at-most-linear count growth. The energy constraint is an upper event and D is nondegenerate; this does not assert exact N, a shrinking shell, or a singular energy surface. In the β=0 branch the finite periodic weight is explicitly zN times the indicator that no displacement between the configuration and any periodic image lies in B; no value is assigned to 0⋅(+∞).

Facts & Assumptions

Given: AC, the ultrafilter extension principle, DC, HB, and a superstable regular pair potential, positive-beta finite-volume definitions or the stated retained-admissibility zero-beta continuation, a nondegenerate density interval and strict energy feasibility.

[F1]

Superstable regular continuum grand pressure and variational formula: I,Φ are lower semicontinuous on stationary laws, entropy levels are compact in τL, and free/periodic pressures have the stationary variational formula.

[F2]

Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology: finite-entropy sublevels are compact and I is lower semicontinuous in the local-tame topology.

[F3]

Strictly separate a point from a nonempty closed convex Euclidean set: a closed convex subset of finite-dimensional Euclidean space can be separated from a point outside it.

[F4]

Specific Relative Entropy Density: I(P) is the large-cube limit of finite-region relative entropies against the fixed Poisson reference.

[F5]

Relative Entropy Variational, Chain, and Conditioning Rules: finite-region entropy obeys the product chain rule and is nonnegative.

[F6]

Local-Tame Topology: ρ(P) is continuous in τL, since it is a local observable with linear count growth.

[F7]

Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: the event configurations have stationary periodized empirical fields RL,ω with the stated local-tame tests.

[F8]

Periodic preparation and local-tame transfer from entropy bounds: torus-invariant laws with bounded entropy density have relatively compact periodically continued laws and uniformly integrable local counts; empirical-field convergence transfers to those laws.

[F9]

Zero-inverse-temperature-parameter limit with forbidden pairs retained: the retained hard-admissibility partition has the variational minimum of I−ρlog⁡z on KB; its minimizer set is nonempty and compact in τL.

[F10]

Diagonal gap for a decreasing integrable interaction tail: the decreasing integrable envelope gives ∑m≥1md−1ψ(mg)≤2d−1g−dη(g), with η(g)→0 and diagonal gap choices whose relative width and normalized cross-energy error both vanish.

[F11]

Cell-quadratic lower bound from superstability: for some A>0 and B≥0, the free energy obeys H≥A∑iNCi2−BN; translation invariance gives the same bound on centered unit cells.

[L1]

Georgii's published Theorem 4 (1994, Section 7, equations (2.32)–(2.33)) assumes a superstable regular pair potential, a nondegenerate density interval D with inf⁡D<ν(ϕ), and e>inf⁡ρ∈Dφ(ρ). Its φ(ρ) is the infimum of Φ(P) over stationary finite-entropy laws of density ρ, hence equals e0(ρ) here; our ν only ranges over finite-energy laws and so gives a condition at least as strong as the source's density condition. The theorem yields a finite supporting activity and a nonnegative multiplier β≥0, the common variational-minimizer accumulation result, and the periodic upper-energy event exponent. The displayed Theorem 4 on printed p.177 explicitly includes β=0; it asserts the stated raw-law accumulation conclusion, while empirical-field concentration is left to a separate argument (printed p.178). The retained weight convention is made explicit locally here. The theorem statement and its Section 7 proof were read in the published version.

[L2]

Georgii–Zessin, Theorem 3.1, gives the Poisson-reference large-deviation upper and lower bounds for stationary empirical fields in the local topology, with rate the specific relative entropy I. Its upper bound applies to closed sets and its proof is in Section 5.3. For the present application, RL,ω is the stationary empirical field, ρ(RL,ω)=NΛL/Ld, and for finite periodic energy Φ(RL,ω)=HL,per/Ld (Georgii 1994, equation (2.16)). These are the Poisson empirical-field bounds used for event and conditional empirical-field upper estimates; they are separate from Theorem 4's nonnegative-multiplier raw-law conclusion.

[L3]

Georgii's Theorem 2 (1994, Sections 3–5) gives the good local-topology large-deviation principle for the periodized empirical field under the positive-β, positive-activity periodic grand law, with rate I+βΦ−ρlog⁡z+pQ(z,β) and zero set the variational minimizers. Its hypotheses include superstability and regularity and its proof was read in full.

Proof

Given: The hypotheses and suppliers in Facts & Assumptions.

1.1F1F2F4F5F6algebra

Define m(ρ,e)=inf⁡{I(P):ρ(P)=ρ,Φ(P)≤e} and s=−m. For stationary finite-entropy laws P,R, the binary-mixture chain rule on a bounded cube G gives θD(PG∥QG)+(1−θ)D(RG∥QG)=D((θP+(1−θ)R)G∥QG)+I(S;XG), with 0≤I(S;XG)≤H(S)<∞. Divide by ∣G∣ and use [F4]; the label entropy vanishes, so I is affine on finite mixtures. The expectation ρ and finite-volume energy expectations are affine, hence their limits ρ,Φ are affine where finite. Mixtures of feasible laws show m is convex and s concave. If (ρn,en)→(ρ,e) and lim inf⁡m(ρn,en)<∞, choose near-minimizers with bounded I. Compactness [F2] gives a convergent subsequence; continuity of ρ by [F6] and lower semicontinuity of Φ,I in [F1] show the limit is feasible with entropy no greater than the liminf. Thus m is lower semicontinuous and s upper semicontinuous; the same compactness argument attains every finite infimum. For strict feasibility, choose ρ1 in the interior of D below ν(ϕ) with a finite-energy, finite-entropy law R. The inequality e>inf⁡ρ∈De0(ρ) gives ρ2∈D and a finite-entropy law P with Φ(P)<e. If ρ2 is at an endpoint of D, mix P with a sufficiently small positive amount of R; affinity of ρ,Φ,I keeps the energy below e and moves the density into the interior of D.

1.2A1F4F5F6F10algebraconstruct

Establish the approximation needed when the supporting energy coefficient vanishes. Fix P∈KB with I(P)<∞. Regularity makes B bounded. Fix a corridor width g greater than its maximum-norm radius and the two-sided tail cutoff. For integer n→∞, let En,q be the event that all distinct pairs in [0,n)d have maximum-norm separation at least 1/q and energy at most q. Simplicity, local finiteness and P∈KB imply P(En,q)↑1 as q→∞. Choose positive integers qn with pn=P(En,qn)→1, and put independent copies of P[0,n)d(⋅∣En,qn) in cores [0,n)d+(n+g)k, k∈Zd, leaving the corridors empty. Average the phase uniformly over [0,n+g)d and call the stationary law Pn. Minimum separation bounds the particle number in each core by a finite packing bound depending on n,qn; the pair-energy cutoff bounds its internal positive energy. Every cross-core displacement lies beyond the cutoff, so the summable envelope [F10] and the core particle bound make the absolute cross energy per tile finite. Thus Pn∈KB and Φ(Pn)<∞. Write Dn=D(P[0,n)d∥Q[0,n)d). For E=En,qn and h=dP[0,n)d/dQ[0,n)d, expanding the conditioned density h1E/pn and using −hlog⁡h≤1 where h<1 gives D(P[0,n)d(⋅∣E)∥Q[0,n)d)≤(Dn+1)/pn−log⁡pn. Independence, the Poisson void cost of the corridors, and convexity under phase averaging imply I(Pn)≤(Dn+1)/pn−log⁡pn+(n+g)d−nd(n+g)d. Indeed, on a large observation cube entropy is bounded by the sum of entropies of the intersecting independent tiles; boundary tiles contribute o(volume) for fixed n, and [F4] gives this bound. Hence lim sup⁡nI(Pn)≤I(P). For any bounded local support A, translate x, and K>0, stationarity gives EP[NA+x1En,qnc]≤EP[NA1{NA>K}]+K(1−pn). Integrability makes this uniformly small, first as n→∞ and then K→∞. Thus conditioning changes expectations of translated local tame tests by a quantity tending to zero, uniformly when their support stays in one core. The fraction of phases whose support meets a corridor or two cores is OA((g+1)/n); there the uniform bound E[NA+x]≤cAρ(P)/pn controls the count contribution, where cA<∞ is obtained by covering the at most 2d core portions of A+x by a fixed number of translated unit cells for all n larger than the diameter of A. Their contribution also tends to zero. Therefore Pn→P in τL, in particular ρ(Pn)→ρ(P).

2.1F1F2F4F5F6F10F11step 1.1algebra

For the lower event bound, take a stationary law P with I(P)<∞, ρ(P)∈D∘, and Φ(P)<e. The cell inequality [F11], stationarity, and EPHℓ,free/ℓd→Φ(P) imply a uniform bound on EP[Tℓ/ℓd] for large integer ℓ, hence on EP[(NΛℓ/ℓd)2]. They also give a uniform bound C on EP[Hℓ,free+]/ℓd, since the negative part is at most BN. Choose Mj↑∞ with C/Mj→0. For each sufficiently large ℓj, let Ej={Hℓj,free≤Mjℓjd} and pj=P(Ej). Markov's inequality gives pj≥1−C/Mj. On Ej, the cell inequality and N2/ℓjd≤Tℓj give N/ℓjd≤Kj, where Kj is the positive root bound for Ax2−Bx≤Mj. The count-density loss under conditioning tends to zero by Cauchy–Schwarz and the uniform second-moment bound. The conditional expected energy density has limsup at most Φ(P) because the removed energy is positive. The entropy conditioning formula gives D(PΛℓj(⋅∣Ej)∥QΛℓj)≤(D(PΛℓj∥QΛℓj)+1/eE)/pj−log⁡pj, where eE is Euler's number, so the conditioned block entropy per volume is at most I(P)+o(1). Choose gj>2R0 with η(gj)≤(jd+1Kj2)−1 and set ℓj=jgj, increasing gj further so ℓj is large enough for the specific entropy and energy limits above. Then gj/ℓj=1/j→0 and pj→1. In a large periodic cube of side L, put mL=⌊L/(ℓj+gj)⌋ cores per coordinate, each of side ℓj, on a periodic grid of exact spacing aL,j=L/mL≥ℓj+gj. Thus every core is separated from every other core and its periodic images by at least gj, and the unoccupied fraction tends to 1−(ℓj/(ℓj+gj))d. Put independent conditioned blocks in the cores and leave the complement empty. For two core indices at maximum-norm distance m≥1, the total absolute cross energy per core is at most CdKj2ℓj2d∑m≥1md−1ψ(mgj), so its contribution per unit volume is at most Cd′Kj2(ℓj/gj)dη(gj)≤Cd′/j by [F10], including the periodic image interactions across the outer boundary. The iid law of core counts and core energies gives the required density and within-core energy laws of large numbers; since the cross-energy error is uniformly bounded by Cd′/j, for large fixed j the product block law assigns probability tending to one to AL as L→∞, with density in D and energy below e by strict margins. Relative to the Poisson reference on ΛL, the product block law has log density equal to the sum of the iid block log densities plus the corridor volume (the Poisson void cost). The block log density is integrable because its relative entropy is finite; truncation followed by the ordinary weak law gives its average limit. Therefore its typical log density per volume is at most I(P)+oj(1) as j→∞. On the intersection of AL with this typical set, changing measure back to QΛL gives QΛL(AL)≥exp⁡[−Ld(I(P)+oj(1)+oL(1))]. If a minimizing law lies on a constraint boundary, mix it with a strict feasible law; entropy affinity and lower semicontinuity show that the entropy infimum is unchanged. This proves the lower event bound and eventual positivity.

3.1F1F2F7L2step 2.1algebra

Put K={P∈Pstat1:ρ(P)∈D‾, Φ(P)≤e}. The set is closed by [F1], lower semicontinuity of Φ, and continuity of ρ in τL. It is also evaluation-measurable: ρ(P) is the integral of a measurable local count, and Φ(P) is the countable integer-cube limit of finite-volume measurable energy expectations on its stated domain. These expectations are measurable by simple-function approximation of positive and negative parts, with stability controlling the negative part. Thus both constraint preimages are measurable. Likewise KB is closed and evaluation-measurable: it is the countable intersection, over integer cubes, of zero-probability conditions for bounded measurable local forbidden-pair events. For every configuration with finite HL,per, the periodized empirical field satisfies ρ(RL,ω)=NΛL/Ld by [F7] and Φ(RL,ω)=HL,per/Ld by Georgii's periodic-energy identity (1994, equation (2.16)); hence AL⊆{RL,ω∈K}. The Poisson empirical-field upper bound of [L2], applied to this closed set, gives lim sup⁡L→∞L−dlog⁡QΛL(AL)≤−inf⁡P∈KI(P)=−m, where m is the minimum in the Statement. Together with step 2.1 this proves the event exponent. The exact periodic empirical field accounts for all long-range image interactions in this upper bound; no fixed empty corridor is used to discard them.

4.1F1F3F9L1step 1.1step 3.1step 1.2algebra

The tangent-plane argument in published [L1] separates the strict-feasibility constraint set in finite dimension [F3]. It supplies a finite α=log⁡z and a nonnegative coefficient β≥0. When β>0, the constrained entropy minimizers lie in the positive-beta grand variational minimizer set. To spell out the compatible retained-admissibility interpretation when the supporting coefficient is zero, write m∗=m(D,e) and let (ρ∗,u∗) be a contact point. A supporting plane with energy coefficient β=0 gives −m(ρ,u)≤−m∗−α(ρ−ρ∗) for every finite-energy pair (ρ,u); equivalently, every stationary finite-energy law satisfies I(P)−αρ(P)≥m∗−αρ∗. Equality holds at the constrained minimizers in contact. Any law in KB with finite I is approximated in τL and density by finite-energy separated-block laws Pj with lim sup⁡jI(Pj)≤I(P), by step 1.2. Passing the inequality to the limit shows it holds on all of KB; equality at a constrained minimizer identifies the same global minimum there. The finite-volume zero-beta weight remains zN1admissible throughout.

5.1A1F1F2F4F5F6F7F9L2L3step 3.1step 4.1

Let U be an open τL neighborhood of the common grand minimizer set Mβ,z. That set is compact by [F1] for β>0 and [F9] for β=0. Each member has a basic neighborhood contained in U, given by finitely many strict inequalities in local tame expectations. Each expectation is evaluation-measurable by truncation and simple-function approximation. A finite subcover gives an open evaluation-measurable V with Mβ,z⊆V⊆U. The set KV=K∩Vc is closed and measurable by step 3.1. Its entropy infimum is strictly larger than m: otherwise a sequence with I↓m in a compact entropy sublevel [F2] has a limit in KV that is a constrained minimizer, hence in Mβ,z⊆V by step 4.1, a contradiction. The measurable-set upper bound [L2] gives lim sup⁡L→∞L−dlog⁡QΛL{RL,ω∈KV}≤−inf⁡P∈KVI(P)<−m. Since AL∩{R∉U}⊆{R∈KV}, division by the event probability from step 3.1 bounds the conditional outer probability outside U by a quantity tending to zero. For the positive-beta grand law, apply the good-rate upper bound [L3] to the measurable closed set Vc; compact rate sublevels and its zero set inside V give a strict positive gap. For the retained zero-beta grand law, its numerator outside U is bounded by the Poisson integral of eαN1{R∈KB∩Vc}, where α=log⁡z. Apply the measurable Laplace upper bound [L2] with the functional equal to −αρ on KB∩Vc and +∞ elsewhere. It is lower semicontinuous, evaluation-measurable and bounded below by −∣α∣(1+ρ). For a>0, apply the bounded-test entropy inequality [F5] to truncations of aN[0,n)d and use the Poisson formula EQeaN[0,n)d=exp⁡(nd(ea−1)). Removing the truncation, dividing by nd, and taking the integer-cube limit [F4] gives I(P)≥aρ(P)−(ea−1). Choosing a>2max⁡(α,0) shows that a bounded sublevel of I−αρ has bounded I. This rate is lower semicontinuous since I is and ρ is continuous; together with the closedness of KB and [F2], this proves compact sublevels. Its infimum on KB∩Vc is therefore strictly larger than its global minimum. The denominator rate from [F9] cancels that global minimum. Thus this grand outer probability also tends to zero. Empty complement sets make the estimates immediate. A singleton minimizer gives convergence in probability in the stated outer sense in both branches.

6.1F1F5F8step 3.1step 5.1algebra∎

The conditional law is torus-invariant and its entropy density is −L−dlog⁡QL(AL), which is bounded by the event limit. The matching grand law is torus-invariant as well. At positive beta its entropy density is bounded by the pressure identity, the superstable lower energy bound, and the Poisson entropy count inequality; at zero beta use the same identity with the hard indicator and omit the energy term. Consequently [F8] applies. Its transfer result converts step 5.1 into convergence of the periodically continued laws for every local tame observable under uniqueness. No zero extension outside the fundamental cube is used.

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Periodic fixed-particle canonical limit

Statement

Assume AC, the ultrafilter extension principle, DC, and HB, and the superstable regular interaction of Superstable regular continuum grand pressure and variational formula, β>0, and an interior attainable density ρ>0. For integers NL with NL/Ld→ρ, let Zper(L,NL;β) be the 1/NL!-normalized positional partition on the periodized cube, with the image convention of Superstable regular pair interactions and configurational ensemble notation. Then L−dlog⁡Zper(L,NL;β)⟶Fβ(ρ), the same rate as the free cube. Let CL,NLper be the periodic exact-NL canonical law and RL,ω its periodized empirical field from Periodized empirical field of a finite configuration. For any finite supporting activity z>0 of Fβ at ρ, these empirical fields concentrate in every open τL neighborhood of the minimizer set of I+βΦ−ρlog⁡z. Writing Mz,β for this minimizer set, the concentration means (CL,NLper)∗{ω:RL,ω∉U}→0 for every open τL neighborhood U of it. Here outer probability is as defined in Conditioning grand empirical fields on an exact particle number, and equals ordinary probability for measurable events. A singleton minimizer gives convergence in probability in this outer-probability sense in τL.

Facts & Assumptions

Given: AC, the ultrafilter extension principle, DC, HB, and a superstable regular even pair potential, positive inverse temperature, and an interior canonical density.

[F1]

Superstable regular pair interactions and configurational ensemble notation: stability and regularity give the finite canonical integrals and the stated periodic-image convention.

[F2]

Diagonal gap for a decreasing integrable interaction tail: separated-cell tails are summable and admit gaps with vanishing interaction per volume.

[F3]

Cell-quadratic lower bound from superstability: H≥A∑iNCi2−BN, with A>0.

[F4]

Canonical free-cube limit at every interior attainable density: the free exact-N cube rate is Fβ(ρ) at each interior density.

[F5]

Canonical–grand-canonical thermodynamic duality: the canonical rate and grand pressure are convex duals; a supporting activity realizes equality.

[F6]

Superstable regular continuum grand pressure and variational formula: free and periodic normalized-Poisson grand pressures have the same limit pQ=−min⁡P{I(P)+βΦ(P)−ρ(P)log⁡z}, with a nonempty compact minimizer set; the 1/N!-normalized Lebesgue grand pressure is pQ+1.

[F7]

Conditioning grand empirical fields on an exact particle number: for either boundary condition, if the exact-N rate is Fβ(ρ), its periodized empirical fields concentrate near the grand variational minimizer set. The four named choice hypotheses are required, and convergence uses outer probabilities as defined in that supplier.

[F8]

Holder's inequality for integrals, including the endpoint cases: Hölder’s inequality makes the log of a finite positive Laplace integral convex in its scalar parameter.

[F9]

Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: a finite configuration determines a stationary empirical field with intensity equal to its particle number divided by volume.

[L1]

Georgii, Lemma 4.3, states for an empty corridor of width k that the periodic/free energy discrepancy is bounded by cdδkTL, where δk→0 is the lattice tail and TL=∑iNCi2. The complete lemma and proof were read; this is used only under its superstable regular hypotheses.

Proof

Given: The assumptions and suppliers in Facts & Assumptions.

1.1F4F5F6algebra

For the upper bound, eαNLZper(L,NL;β)≤Ξper(L,eα,β) for every real α. Divide logarithms by Ld, use the free/periodic grand limit [F6], and then take the infimum over α. The canonical-grand duality [F5] gives lim sup⁡L−dlog⁡Zper≤Fβ(ρ).

1.2F1F2F3F4L1algebra

Fix corridor width k larger than the tail cutoff. Restrict the NL particles to the inner cube of side L−k, leaving the corridor empty. The exact-NL density is still ρ. The diagonal-gap supplier [F2] gives the vanishing regular-tail cutoff used here. By [L1], the periodized energy differs from the free inner-cube energy by at most cdδkTL−k. The cell bound [F3] implies TL−k≤A−1(HL−k+BNL). Consequently Zper(L,NL;β)≥e−βcdδkBNL/A Z(L−k,NL;β(1+cdδk/A)). The canonical theorem [F4] applies at the perturbed inverse temperature, giving the corresponding lower rate.

2.1F4F8step 1.2algebra

At fixed interior ρ, Fβ(ρ) is finite and convex as a function of β>0, by Hölder’s inequality [F8], since each finite-volume log partition is convex and the pointwise limit is finite. A finite convex function is continuous on the open interval: on a compact subinterval, its secant slopes are bounded by the slopes to fixed exterior endpoints. Let L→∞ in step 1.2 and then k→∞, so δk→0; continuity yields lim inf⁡≥Fβ(ρ).

3.1F5F6F7F9step 2.1algebra∎

Step 2.1 established the periodic exact-NL rate Fβ(ρ), and [F5] supplies a finite supporting activity. The grand pressure identity in [F6] and the periodized empirical field in [F9] satisfy the hypotheses of [F7] with periodic boundary condition. Hence the outer probability outside each open neighborhood of the minimizer set tends to zero; if the set is a singleton, this is convergence in probability in the stated sense.

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Controlled shrinking energy-density shell and three-ensemble equivalence

Statement

Assume AC, the ultrafilter extension principle, DC, and HB, and the superstable regular model of Periodic fixed-particle canonical limit, an interior density NL/Ld→ρ, and differentiability of β↦Fβ(ρ) at β>0. Put e=−∂βFβ(ρ). Suppose the grand variational minimizer at a supporting activity z>0 is a singleton P∗. Let RL,ω be the periodized empirical field of Periodized empirical field of a finite configuration. There exists a specified sequence δL↓0 such that the uniform positional shell law QΛL ⁣( ⋅ | N=NL, ∣HL,per/Ld−e∣≤δL) is eventually defined, and its empirical field converges in probability in τL to P∗. The free and periodic exact-N canonical empirical fields and the matching periodic grand-canonical empirical field converge in probability to the same limit. Convergence in probability here uses outer probabilities for arbitrary open neighborhoods, as defined in Conditioning grand empirical fields on an exact particle number, and ordinary probabilities for measurable ones. The energy width 2δLLd=o(Ld); no arbitrary prescribed width or zero-width surface measure is asserted.

Facts & Assumptions

Given: The four named choice hypotheses, interaction, density, differentiability, supporting activity, and singleton minimizer stated above.

[F1]

Periodic fixed-particle canonical limit: periodic exact-N log partitions converge to Fβ(ρ), and their empirical fields concentrate near the supporting minimizer set; that statement alone supplies no exponential rate.

[F2]

Fixed-particle local ensemble equivalence at interior density: free exact-N empirical fields concentrate near the supporting grand minimizer set.

[F3]

Superstable regular continuum grand pressure and variational formula: the grand variational minimizer set is compact in τL.

[F4]

Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: periodized empirical fields are stationary laws with intensity NL/Ld.

[F5]

Conditioning grand empirical fields on an exact particle number: under the four choice hypotheses, superstability, regularity, an interior density, a supporting activity, and the exact-N canonical rate, for either boundary condition the outer probability outside every open neighborhood of the grand minimizer set has a strictly negative exponential rate.

[L1]

Georgii's Theorem 2 (1994, Sections 3–5) gives the good τL large-deviation bounds on evaluation-measurable sets for periodized empirical fields under the periodic grand-canonical law, with zero set equal to its stationary variational minimizers. The complete Sections 3–5 proof was read; arbitrary open neighborhoods are handled below by measurable basic neighborhoods.

Proof

Given: The assumptions and suppliers in Facts & Assumptions.

1.1F1algebra

Let CL be the periodic exact-NL canonical law. For ∣t∣<β, ECLetHper=Zper(L,NL;β−t)/Zper(L,NL;β). By [F1], the normalized log moment generating function converges to Fβ−t(ρ)−Fβ(ρ), whose derivative at zero is e. For any fixed ϵ>0, choose small positive and negative t so the Chernoff exponents for H/Ld≥e+ϵ and H/Ld≤e−ϵ are strictly negative. Hence the canonical probability outside the fixed ϵ-window tends to zero.

1.2A1F1F3F4F5algebra

The supporting activity and singleton minimizer are given. The exact-N periodic rate is [F1]; the choices in [A1], the superstable regular potential, and the empirical-field convention [F4] are precisely the other hypotheses of [F5]. Applying [F5] with periodic boundary gives, for every open U∋P∗, a constant cU>0 with lim sup⁡L−dlog⁡CL∗(RL,ω∉U)≤−cU. This supplies the exponential estimate needed for the shell comparison.

2.1step 1.1choose

Choose strictly increasing thresholds Lk≥k so that for every L≥Lk the probability outside the 1/k window is at most 1/k. Set k(L)=max⁡{k:Lk≤L} and δL=1/k(L). Then δL↓0 and the canonical probability of the selected shell tends to one. Positivity of the canonical weight on the shell implies positive Poisson reference measure, so the shell law is defined eventually.

3.1F4step 2.1step 1.2algebra

Let U be any open τL neighborhood of P∗ and let SL={N=NL, ∣HL,per/Ld−e∣≤δL} be the selected shell event. On SL, the unnormalized periodic Boltzmann factor lies between e−βLd(e+δL) and e−βLd(e−δL). For each measurable event, the normalization constants cancel when comparing conditional probabilities; taking infima over measurable supersets gives the same inequality for outer probabilities, so (QΛL( ⋅∣SL))∗(RL,ω∉U)≤e2βδLLdCLper(SL) (CLper)∗(RL,ω∉U). By step 2.1, CLper(SL)→1. By step 1.2, the last outer probability has a strictly negative exponential rate. Since δL→0, the right side tends to zero. Thus the uniform shell empirical field converges in probability to P∗.

4.1F2F3F4L1step 3.1∎

For any open neighborhood U of P∗, choose a basic neighborhood V of P∗ contained in U, defined by finitely many strict tame-expectation inequalities. It is evaluation-measurable. The free exact-N empirical fields concentrate on V by [F2], so their outer probabilities outside U vanish. The periodic grand empirical fields obey the good LDP [L1]; its unique zero is P∗ by [F3], so the measurable-set upper bound outside V has a strictly negative rate by compactness of rate sublevels. As Uc⊆Vc, its outer probability tends to zero. Together with steps 2.1 and 3.1, this proves the stated three-ensemble conclusion.

5 · Examples, experiments and counterexamples

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