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Conditional entropy chain and disjoint-block bounds

1 · Prerequisites

2 · Summary

This page proves the finite conditional relative-entropy chain and its disjoint-block bound, then develops the Gaussian momentum reference, marked configuration law, and marked periodic local-restriction convention used for a specified superstable regular pair model. Under the stated interior-density, differentiability, choice, and uniqueness hypotheses, a constructed periodic energy band has vanishing relative-entropy density from the canonical law. A gap construction transfers its positional law to the singleton variational state; conditional mark entropy then gives fixed-region convergence and the named kinetic-energy and momentum moments.

The physical preparation remains an adopted assumption. The deductions concern the constructed energy window and specified observables; they assert no equilibration, universal shell-width result, finite-volume grand convergence, or experimental measurement.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

LemmaStatement: AI-adaptedProof: AI-adaptedOpen item page →

Conditional entropy chain and disjoint-block bounds

Statement

Assume AC. Let X1,…,Xm be standard-Borel spaces, let Qi be probability measures on Xi, and let P be a probability on ∏i=1mXi. Write Pi for its ith marginal and use the directional extended relative entropy D(⋅∥⋅) of Relative Entropy of Probability Measures. Then D(P∥Q1⊗⋯⊗Qm)≥∑i=1mD(Pi∥Qi). If the left side is finite, the conditional chain rule gives the stronger equality D(P∥⨂iQi)=D(P1∥Q1)+∑i=2mEP D(PXi∣X1,…,Xi−1∥Qi), and each conditional increment is at least D(Pi∥Qi). If the left side is infinite, the displayed inequality is understood in the extended order and is automatic. For an integer d≥1 and disjoint spatial blocks with fixed particle counts ni∈{0,1,2,…} and fixed positions, apply this result to their mark spaces Xi=(Rd)ni, with Borel sigma-algebras and probability mark references Qi. The zero-fold product Xi=(Rd)0 is the singleton consisting of the empty mark tuple. On that singleton both Pi and Qi are its unique probability measure, so a zero-occupancy mark block contributes zero. No zero-divergence claim is made for an unconditioned occupancy law.

Facts & Assumptions

Given: Standard-Borel block spaces, probability reference laws, and the stated joint probability.

[A1]

AC supplies the conditional-law and entropy chain-rule hypotheses recorded in the current supplier.

[F1]

Relative Entropy Variational, Chain, and Conditioning Rules: D(R∥Q)=sup⁡ϕ∈Bb{R(ϕ)−log⁡Q(eϕ)}, where Bb consists of bounded real measurable functions; relative entropy is nonnegative and cannot increase under a measurable map; finite relative entropy against a product probability reference has the conditional chain rule.

[F2]

Relative Entropy of Probability Measures: D(P∥Q) is the extended directional KL divergence, equal to ∫hlog⁡h dQ for P≪Q, with value +∞ otherwise.

Proof

Given: The hypotheses and exact entropy conventions above.

1.1A1F1F2

If D(P∥⨂iQi)=+∞, then the inequality holds in the extended order. Suppose instead the joint entropy is finite. For 1≤i≤m, let P1:i be the marginal on the first i coordinates and set Di=D(P1:i∥⨂j=1iQj). Projection contraction in [F1] gives Di≤Dm<∞. For i≥2, apply the finite-entropy chain rule to P1:i with reference (⨂j<iQj)⊗Qi. It gives Di=Di−1+Gi, where Gi=EPD(PXi∣X1,…,Xi−1∥Qi). Each Gi is nonnegative and finite. Telescoping these equalities gives the stated chain equality without subtracting infinite terms.

2.1F1F2step 1.1∎

For i≥2, write S=(X1,…,Xi−1) and Ki(s,⋅)=PXi∣S=s for the conditional probability kernel in step 1.1. For every bounded real measurable ϕ:Xi→R, the variational formula [F1] gives D(Ki(s,⋅)∥Qi)≥∫ϕ dKi(s,⋅)−log⁡Qi(eϕ). Integrating against PS and using the conditional-law identity yields Gi≥Pi(ϕ)−log⁡Qi(eϕ). Taking the supremum over these tests and applying [F1] again gives Gi≥D(Pi∥Qi). Summing with the first chain term D1=D(P1∥Q1) proves the inequality. For m=1, the assertion is equality. On a zero-fold mark space, the density of its unique probability relative to itself is 1, so its marginal and conditional divergences are 1log⁡1=0.

LemmaStatement: AI-adaptedProof: AI-adaptedOpen item page →

Gaussian mark normalization, moments, and exponential controls

Statement

Let d≥1, mass m>0 in kilograms, reference momentum p∗>0 in kg m s−1, energy scale E0>0 in joules, and dimensionless inverse temperature b>0. On Rd use r(dp)=dp/p∗d and K(p)=∣p∣2/(2mE0). Then κb:=∫e−bK(p)r(dp)=(2πmE0bp∗2)d/2,νb(dp)=κb−1e−bK(p)r(dp) is a probability with Eνbpi=0, Eνbpipj=(mE0/b)δij, and EνbK=d/(2b). For each g among K,pi,pipj, and tilt parameter t in reciprocal units to g, the centered logarithmic moment-generating function cg(t):=log⁡Eνbexp⁡(t(g−Eνbg)) is finite and twice continuously differentiable on a neighborhood of 0, with cg(0)=cg′(0)=0. In particular cg(t)=O(t2) as t→0. Here pi has momentum units and K is energy in units of E0. For the optional physical-temperature parametrization, fix a positive scalar conversion parameter kB with units J K−1 and take T>0 in kelvin; then b=E0/(kBT).

Facts & Assumptions

Given: The constants and dimension specified above.

[F2]

Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: nonnegative product-measurable functions can be integrated by iterated integrals on the sigma-finite product reference.

[F4]

Dominated convergence: a pointwise convergent measurable family dominated by an integrable function has convergent integrals.

Proof

Given: The constants, reference, and suppliers in Facts & Assumptions.

1.1F1F2algebra

Substitute u=b/(2mE0) p in each one-dimensional integral; [F1] gives ∫Re−bp2/(2mE0)dp=2πmE0/b. Tonelli [F2] factors the nonnegative d-dimensional integral into d such terms. Dividing by p_*^d gives κ_b, so ν_b has mass one.

1.2F1F2F4algebra

For g=K or g=p_i p_j, use |p_i p_j|≤(p_i²+p_j²)/2 and K=|p|²/(2mE_0). For g=p_i, completing a square gives |t p_i|≤a p_i²/2+t²/(2a) for any a>0. For sufficiently small |t| these bounds dominate the unnormalized MGF integrands and their first two t-derivatives by a polynomial times exp(-a_0|p|²), for some a_0>0. That majorant is integrable: each polynomial factor is bounded after absorbing half the Gaussian exponent and the remaining Gaussian integral is finite by [F1] and [F2]. Dominated convergence [F4] makes each MGF twice continuously differentiable near zero; positivity makes its logarithm twice continuously differentiable as well.

2.1F1F3step 1.1algebra

Oddness gives E p_i=0 and E p_i p_j=0 for i≠j. On [-R,R], integration by parts [F3] with u(p)=p and v'(p)=p exp(-ap²), where a=b/(2mE_0), gives ∫−RRp2e−ap2dp=12a∫−RRe−ap2dp−Re−aR2a. The boundary term tends to zero and both integrals converge by Gaussian domination. Divide by the normalization from step 1.1 and let R→∞ to obtain E p_i²=1/(2a)=mE_0/b. Therefore E K=Σ_i E p_i²/(2mE_0)=d/(2b).

3.1step 1.2step 2.1algebra∎

At t=0 the centered log MGF is zero; its derivative is E(g-Eg)=0, using the means in step 2.1. Its second derivative is finite and continuous by step 1.2. Taylor's theorem at zero then gives c_g(t)=c_g''(ξ_t)t²/2=O(t²) near zero.

LemmaStatement: AI-adaptedProof: AI-adaptedOpen item page →

Measurable information contraction and Pinsker bound

Statement

Assume AC. Let P,Q be probability measures on a measurable space and let T be a measurable map to another measurable space. Then D(T∗P∥T∗Q)≤D(P∥Q),∥P−Q∥TV:=sup⁡A∣P(A)−Q(A)∣≤D(P∥Q)/2. The entropy convention is the directional KL definition of Kullback–Leibler divergence, and the total-variation convention is the event-supremum convention of Total variation distance for probability laws. The inequality remains valid when D=+∞.

Facts & Assumptions

Given: AC and probability measures on the stated measurable spaces.

[F1]

Relative Entropy Variational, Chain, and Conditioning Rules: for probability measures, D(P∥Q)=sup⁡g∈Bb(P(g)−log⁡Q(eg)), where Bb denotes bounded real measurable functions.

[F2]

Pinsker’s inequality with event-supremum total variation: under AC and the event-supremum convention sup⁡A∣P(A)−Q(A)∣, ∥P−Q∥TV≤D(P∥Q)/2 for all probabilities, including the extended-entropy case.

[F3]

Kullback–Leibler divergence and Total variation distance for probability laws: fix the direction P∥Q and the event-supremum normalization; no factor of two is inserted in the definition of total variation.

Proof

Given: The hypotheses and supplier conventions in Facts & Assumptions.

1.1F1F3algebra

For each bounded measurable target test g, the pullback g∘T is bounded and measurable. Thus P(g∘T)=T∗P(g) and Q(eg∘T)=T∗Q(eg). The variational formula [F1] bounds the target objective by the supremum over all bounded source tests, which is D(P∥Q). Taking the target supremum proves data processing.

2.1F2F3step 1.1∎

Apply the imported theorem [F2] with the precise event-supremum convention [F3]. It gives the displayed square-root constant 1/2 without changing normalization. When D=+∞, the right side is +∞ and the inequality is automatic.

DefinitionDefinition: AI-adaptedProof: Not applicableOpen item page →

Interacting marked phase-space and reference measures

Definition

Assume AC. Fix d≥1 and let ϕ:Rd→R∪{+∞} be the numerical even Borel pair potential. Assume the stability, cell-superstability, lower-regularity, and decreasing-integrable-tail conditions of Stability, superstability and regular tails, with its fixed cell side ℓ, and the superstable regular interaction, unit-coordinate, and periodic-image conventions of Superstable regular pair interactions and configurational ensemble notation. These are model hypotheses; the definitions do not prove that a particular material satisfies them. Use the finite-region phase-space and statistical-state conventions of Statistical states, densities, observables and expectations.

Let E0>0 joules be the energy unit, ℓ0>0 metres the length unit, m>0 kilograms the particle mass, and p∗>0 kg m s−1 the momentum reference. A physical position vector qphys∈Rd in metres has dimensionless numerical coordinate x=qphys/ℓ0. From here on, q⊆ΛL=[0,L)d denotes a finite configuration of these numerical coordinates, so the physical cube has side ℓ0L and its points are ℓ0x. Each momentum mark px∈Rd is an SI momentum vector in kg m s−1. Write VL=Ld for numerical volume. Fix also a primitive positive scalar conversion parameter kB with units J K−1, called the Boltzmann constant: the thermal-energy scale assigned to temperature T is kBT joules. Its value is fixed as part of the model data, not derived by this mathematical definition. If T>0 kelvin, put βphys=1/(kBT) in J−1 and b=βphysE0=E0/(kBT)>0.

The potential ϕ in the two interaction suppliers is numerical in units of E0 and takes dimensionless displacements as input. For a physical displacement r∈Rd measured in metres, its pair-potential map is Vpair(r):=E0ϕ(r/ℓ0) joules. For a finite positional configuration q⊆ΛL, set UL,free(q):=Hϕ(q) using Superstable regular pair interactions and configurational ensemble notation, and set UL,per(q):=HL,per(q) using that item's periodic-image sum. The periodic definition is used only for periods for which that sum is defined; the large-L results below use sufficiently large periods as supplied there. Thus E0UL,bc is the dimensional pair energy in either boundary convention.

Let QL be the unit-intensity Poisson probability on positional configurations in ΛL=[0,L)d, defined by Poisson Configuration Reference. Its N-particle conditional law QL,N is uniform on the unordered simple N-point configurations; in labelled coordinates it is L−dNdx1⋯dxN on the no-collision set. A finite marked configuration in this sector is a simple set ξ={(x,px):x∈q} with q⊆ΛL, N(q)=N, and px∈Rd. Equip the finite marked sector with the sigma-algebra generated by the counts NA×C(ξ)=#{(x,px)∈ξ:x∈A, px∈C} for bounded Borel A⊆Rd and Borel C⊆Rd. Let λd be Lebesgue measure on the SI numerical momentum coordinates and set r:=p∗−dλd. For each fixed q={x1,…,xN}, define r⊗q as the image of r⊗N under (p1,…,pN)↦{(xj,pj):1≤j≤N}; this is independent of the enumeration of q because r⊗N is permutation-invariant. The cell-code representation in Poisson Configuration Reference supplies a measurable enumeration on each finite sector, so q↦r⊗q is a measurable kernel for the marked-count sigma-algebra. The finite phase reference is RL,N(dq,dp):=QL(dq) r⊗q(dp) 1{N(q)=N}. It is sigma-finite, meaning the marked sector is covered by countably many measurable sets of finite reference measure: for each integer k≥1, restrict to marks satisfying ∣px∣≤kp∗ for every one of the N points. These sets exhaust the sector, and their reference measures are at most QL(N(q)=N)r(Bk)N<∞, where Bk={p:∣p∣≤kp∗} satisfies r(Bk)≤(2k)d because it lies in the box [−kp∗,kp∗]d of Lebesgue volume (2kp∗)d by the box-volume supplier in the dependency closure of Poisson Configuration Reference. The factor e−VL/N! from the Poisson sector is retained. In physical coordinates the corresponding one-particle product scale is hrefd=ℓ0dp∗d, an action to the power d; it is a reference convention, not a derived quantum constant.

For a marked configuration define the total dimensionless energy HL,bc(q,p)=UL,bc(q)+∑x∈qK(px),K(p)=∣p∣22mE0. The corresponding physical Hamiltonian is HL,bcphys:=E0HL,bc joules, so βphysHL,bcphys=bHL,bc. For b>0, Gaussian mark normalization, moments, and exponential controls gives κb=∫e−bKr(dp)=(2πmE0/(bp∗2))d/2 and the probability kernel νb(dp)=κb−1e−bK(p)r(dp). Whenever the positional canonical partition is finite and positive, nonnegative product integration Tonelli's theorem for nonnegative measurable functions on a sigma-finite product gives exact identities ZQ,L,N,bcph(b)=∫e−bHL,bcdRL,N=κbNZQ,L,N,bcpos(b),CL,N,bcph=CL,N,bcpos νb⊗q. Here ZQ,L,N,bcpos=EQL[1{N(q)=N}e−bUL,bc] and the canonical probabilities are the normalized respective integrands. Under a full grand preparation of activity zph, integrating each momentum changes the positional activity to z=zphκb; thus a positional activity z=eα corresponds to zph=eα/κb. These are exact definitions and normalizations; they do not assert dynamical equilibration or finite-volume grand convergence. Write TLd:=Rd/LZd for the periodic position space, represented by ΛL; translations act modulo L, and the translation-average is Lebesgue measure on ΛL divided by VL. For periodic boundary conditions, simultaneous translation of all positions modulo the period preserves RL,N and HL,per: the conditional position law is uniform on TLd, the mark reference is invariant under relabelling points, and the image energy depends only on pair displacements. Hence normalized canonical and finite band restrictions are invariant under every such translation.

DefinitionDefinition: AI-adaptedProof: Not applicableOpen item page →

Marked periodic continuation and local restriction

Definition

Let Ω be the positional configuration space of Poisson Configuration Reference. The marked configuration space Ωmark consists of marked point sets ξ⊆Rd×Rd with spatial projection q={x∈Rd:∃p∈Rd, (x,p)∈ξ} that is simple and locally finite, and with exactly one mark px paired to each x∈q. Its sigma-algebra is generated by the marked counts NA×C(ξ)=#{(x,p)∈ξ:x∈A, p∈C} for bounded Borel A⊆Rd and Borel C⊆Rd. The positional projection is π(ξ)=q∈Ω. For a bounded Borel set Δ, the marked local restriction is ξΔ={(x,p)∈ξ:x∈Δ} with the induced count sigma-algebra; write NΔ(ξ)=#ξΔ. A marked-local observable on Δ is a real measurable function of ξΔ; it is bounded when its supremum norm is finite.

Let d≥1, L>0, and ΛL=[0,L)d. A finite marked configuration consists of a finite simple set of positions q⊆ΛL and a mark map p:q→Rd, as in Interacting marked phase-space and reference measures. Its marked periodic continuation is ωL,q,pper:={(x+Lk,px):x∈q, k∈Zd}. The spatial positions in this set are distinct: if x+Lk=y+Lj for x,y∈[0,L)d, then coordinatewise x−y=L(j−k) forces j=k and x=y. Every bounded spatial region meets finitely many lattice translates of the finite set q, so the continuation has a locally finite spatial projection.

For a bounded Borel set Δ⊆Rd, define its marked local restriction by ωL,q,pper∣Δ:={(y,px)∈ωL,q,pper:y∈Δ}. This is an element of Ωmark, with the induced sigma-algebra of marked counts above. If Δ⊆ΛL, the restriction is exactly the original marked points with positions in Δ.

LemmaStatement: AI-adaptedProof: AI-adaptedOpen item page →

Existence of the independent Gaussian-marked positional lift

Statement

Assume AC. Let P be any probability law on the simple locally finite positional configuration space Ω of Poisson Configuration Reference, and let ν be a probability on the momentum mark space Rd. Use the marked configuration space Ωmark and local restrictions ξΔ of Marked periodic continuation and local restriction. Define translations by Tyq={x+y:x∈q} and Tymarkξ={(x+y,p):(x,p)∈ξ}. Then there is a unique probability law Pmark on Ωmark whose positional projection is P and whose marks, conditional on the entire positional configuration, are independent with common law ν. If P is translation invariant, meaning (Ty)#P=P for every y∈Rd, then (Tymark)#Pmark=Pmark for every y. For the Gaussian νb of Interacting marked phase-space and reference measures, this is the independent Gaussian-marked positional lift. This is a mathematical marking construction, not a physical preparation or a convergence result.

Facts & Assumptions

Given: A probability law P on Ω and a probability mark law ν on R^d.

[A1]

AC is required by the standard-Borel coordinate extension used below (The Axiom of Choice).

[F1]

Poisson Configuration Reference: Ω has countably many unit-cell coordinates; each cell is a finite configuration represented by its count and lexicographically ordered point list, and its sigma-algebra is generated by Borel count maps.

[F2]

Marked periodic continuation and local restriction: Ω^mark has the marked-count sigma-algebra, positional projection, and finite-region restrictions ξ_Δ used in the statement.

[F3]

Gaussian mark normalization, moments, and exponential controls: in the marked model, the normalized Gaussian kernel ν_b is a probability on R^d.

[F4]

Assuming the Axiom of Choice, Kolmogorov extension for arbitrary families of standard Borel coordinate spaces: the consistent finite-dimensional product laws ν^{⊗J}, for finite J in a countable index set, extend uniquely to a probability on the countable product.

Proof

Given: The positional probability P and mark probability ν above.

1.1givenA1F4F5construct

Let I=Z^d×N index one potential mark slot for each cell and each within-cell rank. For finite J⊂I prescribe the mark law ν^{⊗J}. These laws are consistent under coordinate restriction and are probabilities because ν is a probability by the Given hypothesis, so [F4] gives a probability ν^I under [A1]. The product probability P⊗ν^I exists by [F5].

2.1F1F2F4F5step 1.1construct

For each cell i, write its finite positional list as x_{i,1},...,x_{i,N_i}, in the measurable lexicographic code of [F1]. Define Ψ(q,p) by pairing x_{i,k} with p_{i,k} for every i and 1≤k≤N_i(q). Every bounded spatial region meets finitely many unit cells, and each list is finite, so Ψ(q,p) is locally finite and simple in its positions. By [F2], it belongs to Ω^mark. For bounded Borel spatial A and Borel momentum set C, its marked count is the finite sum NA×C(Ψ(q,p))=∑i:Ci∩A≠∅∑k=1Ni(q)1{xi,k∈A}1{pi,k∈C}. Each summand is measurable in the cell code and mark coordinate by [F1, F4], so Ψ is measurable for the sigma-algebra generated by these counts from [F2]. Its pushforward of P⊗ν^I is the required law P^mark.

3.1F1F2F3F4givenstep 1.1step 2.1∎

Given q, each occupied point uses a distinct coordinate of the product ν^I, so its finite mark families have product law ν^{⊗J}, independent of q. This proves the conditional independence property and fixes every finite marked-count cylinder probability. Those cylinders generate the marked configuration sigma-algebra by [F2], so any law with the same position marginal and conditional product kernel agrees with the pushforward in step 2.1 on a generating class and is identical. Thus the lift exists and is unique. By [F3], the Gaussian kernel ν_b of the model is an admissible probability choice for ν. For each y, the map T_y^mark is measurable because it sends the count N_{A×C} to N_{(A-y)×C}. If P is translation invariant, translating the constructed law by y leaves its positional marginal P and its conditional independent mark kernel ν unchanged; uniqueness therefore gives (T_y^mark)_#P^mark=P^mark.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Total-energy concentration and controlled canonical windows

Statement

Assume AC, the ultrafilter extension principle, DC, and HB. Use the model and dimensionless energy HL,per of Interacting marked phase-space and reference measures. Let Ln→∞, Vn=Lnd, and integers Nn satisfy Nn/Vn→ρ>0, where ρ is an interior attainable density for the positional canonical rate. Fix b>0. Assume Fb(ρ) is the periodic exact-particle log-partition rate supplied by Periodic fixed-particle canonical limit for every b′ in a neighborhood of b, and is differentiable at b. Write Cnph for the full fixed-Nn canonical law, and define eb(ρ)=−∂bFb(ρ)+dρ2b. Then, for each fixed ε>0, there exist cε>0 and n0 such that Cnph ⁣(∣HLn,per/Vn−eb(ρ)∣>ε)≤2e−cεVn(n≥n0). Consequently there is a nonincreasing sequence δn↓0 for which the full phase band An={N=Nn, ∣HLn,per/Vn−eb(ρ)∣≤δn} has Cnph(An)→1. It has positive finite phase-reference measure for all sufficiently large n. This constructs a controlled shrinking window; it makes no claim about every prescribed shell width or an exact energy surface.

Facts & Assumptions

Given: The interaction assumptions in Interacting marked phase-space and reference measures, b>0, the exact-Nn sequence, the interior-density condition, and differentiability of Fb(ρ) at the selected b.

[A1]

Differentiability at b is an additional hypothesis of this item; it is not inferred from stability or from the existence of the partition limit.

[F1]

Periodic fixed-particle canonical limit: at an interior attainable density, the periodic exact-N positional log partition divided by volume tends to Fb′(ρ) for every sequence Nn/Vn→ρ and every fixed b′>0; its hypotheses include the four choice principles in [A2].

[F2]

Gaussian mark normalization, moments, and exponential controls and Interacting marked phase-space and reference measures: the momentum integral is κb′Nn and log⁡κb′=d2log⁡(2πmE0/(b′p∗2)).

[F3]

Stability, superstability and regular tails and Superstable regular pair interactions and configurational ensemble notation: stability gives UL,per≥−BNn and makes the phase band finite in the finite region when its total energy is bounded above.

Proof

Given: The hypotheses and exact conventions in Facts & Assumptions.

1.1A1A2F1F2algebra

Integrating the marks in Interacting marked phase-space and reference measures gives the canonical marked partition as κb′NnZLn,Nn,perpos(b′). The exact-Nn positional sector of the unit-intensity Poisson reference contributes the common factor e−Vn relative to the Lebesgue 1/Nn! partition; it cancels in the ratio of marked partition functions. By [F1], for each fixed t with b−t>0, lim⁡n→∞Vn−1log⁡ECnphetH=Λ(t):=Fb−t(ρ)−Fb(ρ)+ρlog⁡(κb−t/κb), by [F1, F2]. Differentiability and the explicit Gaussian factor give Λ(0)=0 and Λ′(0)=−Fb′(ρ)+dρ/(2b)=eb(ρ).

2.1step 1.1algebra

Fix ε>0. By the derivative at zero, choose a sufficiently small fixed t>0 so Λ(t)−t(eb+ε)<0. On the upper event, 1≤et(H−Vn(eb+ε)), so integrating this pointwise inequality gives Cnph(H/Vn≥eb+ε)≤e−tVn(eb+ε)ECnphetH; its logarithm divided by Vn tends to that strictly negative number, so it is at most −c+Vn in the exponent for some c+>0 and all large n. Choose a sufficiently small fixed t<0 instead; on {H/Vn≤eb−ε} one has etH≥etVn(eb−ε), so integrating this lower-tail pointwise bound gives an exponent with limit Λ(t)−t(eb−ε)<0. Taking the smaller positive decay constant proves the two-sided bound.

3.1F3step 2.1construct∎

For each integer j≥1, the fixed-width conclusion of step 2.1 supplies an integer nj increasing strictly such that for all n≥nj the probability outside width 1/j is at most 1/j. Let j(n)=max⁡{j:nj≤n} for n≥n1, and put δn=1/j(n); assign any positive nonincreasing values before n1. Then j(n)→∞, so δn↓0, and the probability outside An tends to zero. Since the canonical density is strictly positive at every finite-energy point, Cnph(An)>0 for large n implies positive reference measure. On An, 0≤∑K(px)≤Vn(eb+δn)+BNn by stability [F3]; the momenta thus lie in a bounded Euclidean ball, while positions lie in a finite cube. The sigma-finite product reference in Interacting marked phase-space and reference measures assigns finite measure to that bounded sector, so the band has finite reference measure.

PostulateStatement: Literature-sourcedProof: Not applicableOpen item page →

Classical full-phase interacting ensemble preparations

Physical scope

Adopted single-species classical massive-particle preparations for the specified superstable regular pair model and its explicitly matched phase reference; no assertion of dynamical equilibration, measured accuracy, or finite-volume grand convergence.

Postulate

Fix the model, physical reference conventions, mass, potential and energy window specified by Interacting marked phase-space and reference measures and Total-energy concentration and controlled canonical windows. This is a single-species model on the flat torus of side ℓ0L, represented by ΛL=[0,L)d. Identify the action reference a0 of Classical particle counting and physical observables with href=ℓ0p∗ from the marked model, and take the controls λ=(L,bc) in Canonical thermal preparation. Its physical Hamiltonian is HN,λ=HL,bcphys=E0HL,bc from Interacting marked phase-space and reference measures, so βphysHN,λ=bHL,bc. In the corresponding canonical coordinates, the exact-N reference RL,N of that mathematical model is e−VLmˉNphys, where mˉNphys is the one-species quotient reference of Classical particle counting and physical observables. The factor e−VL is independent of N and cancels when normalizing a fixed-N canonical law, a fixed-N band restriction, or the full grand-sector law. Adopt the following alternative preparations whenever their normalizations are finite and positive:

  1. At fixed exact particle number N, controls and T>0, use the canonical density proportional to e−βH relative to the declared phase reference, as in Canonical thermal preparation.
  2. For a sequence satisfying all hypotheses of Total-energy concentration and controlled canonical windows—including AC, the ultrafilter extension principle, DC, HB, an interior attainable density, the periodic exact-particle log-rate hypothesis near b, and differentiability at b—at fixed exact Nn use the uniform full-phase reference law restricted to its constructed band An. “Uniform” means normalized restriction of that finite reference measure; it is an energy-window preparation, not a zero-width surface measure. This postulate makes no existence claim for that specific band when those theorem hypotheses fail.
  3. For particle exchange, use the countable-sector grand preparation of Grand canonical particle-exchange preparation. Its full dimensionless activity is the fugacity zph:=eβphysμ>0, where βphys=1/(kBT) in J−1 and the chemical potential μ is in J per particle. When matching positional activity z=eα at inverse temperature b, choose zph=z/κb, as in Interacting marked phase-space and reference measures.

These laws are adopted statistical preparations. They do not follow from Hamiltonian energy conservation, do not assert that any isolated dynamics reaches these distributions, and do not encode an experimental observation. The band sequence is the particular controlled shrinking window constructed conditionally by Total-energy concentration and controlled canonical windows.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Full uniform phase shell has vanishing specific canonical KL

Statement

Assume AC and the hypotheses and notation of Total-energy concentration and controlled canonical windows. Let Rn=RLn,Nn be the finite phase reference of Interacting marked phase-space and reference measures, let An be the constructed band, and set Mnph(E)=Rn(E∩An)/Rn(An). Let Cnph be the full fixed-Nn canonical probability. Then Dn=D(Mnph∥Cnph) satisfies Dn/Vn→0. This is a mathematical statement about a normalized measure restriction; it does not assert Dn→0 or global total-variation convergence.

Facts & Assumptions

Given: AC, the finite-reference phase measure, the canonical law, stability, and the window hypotheses.

[A1]

AC is used by the conditional entropy chain rule (The Axiom of Choice).

[F1]

Total-energy concentration and controlled canonical windows: Cnph(An)→1, δn→0, and An is a finite positive-reference-measure energy band ∣H/Vn−eb∣≤δn at fixed Nn.

[F2]

Interacting marked phase-space and reference measures: relative to phase reference Rn, Cnph has density e−bH/Zn; by the definition in the Statement, Mnph=Rn(⋅∩An)/Rn(An).

[F3]

Relative Entropy of Probability Measures and Conditional entropy chain and disjoint-block bounds: relative entropy is nonnegative and the exact directional convention is D(P∥Q).

Proof

Given: The hypotheses and supplier definitions above.

1.1F1F2algebra

On A_n, the density of M_n^ph relative to C_n^ph is Z_n e^{bH}/R_n(A_n). Therefore Dn=−log⁡Rn(An)+log⁡Zn+bEMnphH. The lower band edge gives Rn(An)=ZnECnph[1AnebH]≥ZnCnph(An)ebVn(eb−δn).

2.1A1F1F3step 1.1algebra∎

The upper band edge gives EMnphH≤Vn(eb+δn). Substituting the step 1.1 lower bound for Rn(An) yields Dn≤−log⁡Cnph(An)+2bVnδn. Relative entropy is nonnegative by [F3]; since Cnph(An)→1 and δn→0 by [F1], this proves 0≤Dn/Vn→0.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Full phase shell marginal satisfies the positional variational bound

Statement

Assume AC, the ultrafilter extension principle, DC and HB, the exact superstable regular pair interaction and periodic-image convention of Interacting marked phase-space and reference measures, and integer side lengths Ln→∞ with exact particle numbers Nn/Vn→ρ>0 at an interior attainable density. Fix b>0. Assume the positional canonical log rate is Fb(ρ), and choose finite α with PLeb(α,b)=Fb(ρ)+αρ, where PLeb is the grand pressure per numerical volume with Lebesgue 1/N! normalization. Let the positional grand variational minimizer of Superstable regular continuum grand pressure and variational formula at activity exp⁡(α) and inverse temperature b be the singleton {P∗}. Let Rn=RLn,Nn be the phase reference of Interacting marked phase-space and reference measures, let An be the band of Total-energy concentration and controlled canonical windows, set Mnph(E)=Rn(E∩An)/Rn(An), and let Bn be its positional marginal. For any local-tame test f, write Bn[f]=EBnf(ω(Ln)) and Cnpos[f]=ECnposf(ω(Ln)), where ω(Ln) is the periodic continuation. Let Bˉn be the barycenter of RLn,ω under Bn. Then Bˉn converges to P∗ in τL, equivalently Bn[f]→P∗(f) for every local-tame f; also Cnpos[f]→P∗(f) for every such f. The periodized empirical fields of the exact-Nn canonical laws converge in probability in τL to P∗ by Periodic fixed-particle canonical limit, and P∗ has intensity ρ. Here P∗ is an infinite-volume positional variational state; no finite-volume grand-canonical local convergence or DLR identification is asserted.

Facts & Assumptions

Given: The choice hypotheses, model, exact-N_n sequence, shell law, interior density, supporting activity and singleton minimizer in the Statement.

[A1]

AC, the ultrafilter extension principle, DC and HB are exactly the choice hypotheses assumed by the current local-tame compactness, continuum pressure and periodic fixed-N suppliers.

[F1]

Full uniform phase shell has vanishing specific canonical KL: D(M_n^ph || C_n^ph)=o(V_n) for the specified full phase band and canonical reference.

[F2]

Superstable regular pair interactions and configurational ensemble notation and Cell-quadratic lower bound from superstability: for the unit cells Ci=i+[0,1)d, with NCi their point counts, every finite configuration has Hϕ≥A∑iNCi2−BN for fixed A>0,B≥0, and stability gives Hϕ≥−B0N. Applying the same stability inequality to a two-point configuration gives ϕ(x)≥−2B0 for every nonzero separation x. The periodic versions used below are proved by period replication in step 2.1.

[F3]

Diagonal gap for a decreasing integrable interaction tail: the regular tail has a nonnegative summable unit-cell envelope Ψ(k) whose tail sum tends to zero, and supplies real corridor widths g~(L)→∞ with g~(L)/L→0.

[F4]

Periodic fixed-particle canonical limit: at an interior density the exact positional 1/N! canonical log-partition rate is F_b(ρ) for the chosen sequence; the theorem also supplies canonical empirical-field concentration near the positional variational minimizers.

[F5]

Compactness of Finite-Specific-Entropy Levels in the Local-Tame Topology and Specific Relative Entropy Density: bounded specific entropy gives compactness in τ_L, and I(P) is the large-cube relative-entropy limit and is lower semicontinuous there.

[F6]

Superstable regular continuum grand pressure and variational formula and Canonical–grand-canonical thermodynamic duality: normalized-Poisson pressure is -min_P{I(P)+bΦ(P)-ρ(P)α}, the Lebesgue 1/N! pressure is one larger, and the supporting equality makes the minimum 1-F_b(ρ)-αρ; Φ is lower semicontinuous.

[F7]

Total-energy concentration and controlled canonical windows and Interacting marked phase-space and reference measures: the band An has finite positive reference measure and is contained in the energy window ∣H/Vn−eb(ρ)∣≤δn with δn→0; its normalized restriction defines Mnph, and the finite canonical and band laws are invariant under torus translations.

[F8]

Relative Entropy Variational, Chain, and Conditioning Rules: finite-region relative entropy obeys the conditional chain rule, restriction contraction, its bounded-test variational formula, and nonnegativity. For the finite-Nn chain rules use the common labelled-coordinate representation from [F11]; its position and mark spaces are standard Borel.

[F9]

Periodized empirical field of a finite configuration and Stationarity and intensity of a periodized empirical field: a finite torus configuration determines a stationary empirical field RLn,ω of intensity Nn/Vn; for a finite-volume law C, its empirical-field barycenter is stationary with intensity ECNn/Vn. Its evaluation on an integrable local-tame f is measurable and equals the spatial average Vn−1∫TLnf(Txω(Ln)) dx.

[F10]

Poisson Reference Counts and Translation Invariance: restrictions of the unit-intensity Poisson law to disjoint bounded Borel sets are independent, and the probability of an empty region of volume v is e−v.

[F11]

The exact-Nn configuration space in the integer cube ΛLn is a standard-Borel Borel subset of the finite product of the standard-Borel cell spaces in Poisson Configuration Reference. The exact results used from its current mathematical dependency closure are Finite products of standard Borel spaces are standard Borel, Borel subspaces admit polish presentations, Assuming the Axiom of Choice, Kolmogorov extension for arbitrary families of standard Borel coordinate spaces, and For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique. Equivalently, for finite-Nn entropy chain rules use labelled positions in the Borel no-collision subset of ΛLnNn and marks in RdNn; these are standard Borel, and the common symmetric labelled densities retain the same 1/Nn! factor, which cancels in likelihood ratios. The countable product law of independent tile configurations exists by the Kolmogorov extension result in that closure, and its product with the uniform lattice phase exists by the sigma-finite product-measure result there.

Proof

Given: The hypotheses and exact current suppliers in Facts & Assumptions.

1.1A1F1F4F8F11algebra

Put D_n=D(M_n^ph || C_n^ph), and let B_n be the positional marginal. The conditional chain rule gives Dn=D(Bn∣∣Cnpos)+EBnD(bn(.∣q)∣∣νb⊗Nn), so D(B_n||C_n^pos)≤D_n by the conditional chain rule [F8]. The canonical positional density relative to full Poisson probability Q_Λn is 1_{N=N_n} exp(-bU_n,per)/Z_Q,n^pos, where Z_Q,n^pos=exp(-V_n)Z_n,N_n^pos. Integrating the log likelihood against B_n gives D(Bn∣∣QΛn)+bEBnUn,per=D(Bn∣∣Cnpos)−log⁡ZQ,npos≤Dn−log⁡ZQ,npos. By [F1] and [F4], V_n^-1 log Z_Q,n^pos→F_b(ρ)-1; hence the right side divided by V_n has limsup at most 1-F_b(ρ).

2.1F1F2F3F7step 1.1algebra

For every sufficiently large n, the periodized-image series is absolutely convergent by [F3]. Given a finite q⊂ΛLn in the shell, form qM=⋃a∈{0,…,M−1}d(q+Lna). Since Ln is an integer, its unit-cell occupation pattern repeats exactly Md times. In the pair sum for Hϕ(qM)/Md, each fixed image offset k∈Zd has multiplicity factor ∏j=1d(1−∣kj∣/M)+, which tends to 1 and is bounded by 1. For finite periodic energy, absolute convergence lets us first restrict to finitely many offsets with arbitrarily small omitted absolute tail; the factors converge on that finite set and keep the omitted tail bounded, so Hϕ(qM)/Md→Un,per(q). If any image term is +∞, the desired lower bound is automatic. Applying [F2] to qM, dividing by Md, and taking the limit proves Un,per≥A∑iNCi2−BNn; the same replication applied to the stability bound proves Un,per≥−B0Nn. On the full shell from [F7], Un,per=Hn−∑K≤Vn(eb+δn). The periodized cell bound yields EBn∑iNCi2/Vn≤A−1(eb+δn+BNn/Vn), uniformly bounded. Because Ln is an integer, its torus is tiled by Vn unit cells; torus translation invariance makes all EBnNCi2 equal, so each is bounded by the preceding sum divided by Vn. Cauchy–Schwarz then gives a uniform bound EBnNCiNCj≤C for every pair of cells. For the negative pair terms, each bounded-distance cell has finitely many neighboring cells and each term is bounded below by −2B0 by [F2]; for remaining offsets, [F3] supplies the summable envelope Ψ. Hence the expected sum of negative pair magnitudes is O(Vn), and so is the total negative part of Un,per. The shell upper bound on EUn,per then gives EBnUn,per+=O(Vn). Since the sum of positive pair terms equals Un,per plus the sum of negative pair magnitudes, its expectation is also O(Vn). Therefore EBn∣Un,per∣=O(Vn).

3.1F1F2F3F7step 2.1construct

Let g~n=g~(Ln) be the real corridor width supplied by [F3] at Ln, and set gn=⌈g~n⌉. Then gn→∞ and gn/Ln→0, and an=Ln+gn is an integer. By [F11], take independent tile configurations with law Bn on Zd and independently choose a uniform phase in [0,an)d. The map from these data to the union configuration is measurable: for each bounded Borel observation set, only finitely many tile indices can meet it, and each resulting count is a finite sum of Borel indicators of the finite cell-coordinate lists. Thus the constructed law Pn is well-defined and locally finite. Translating the phase preserves its uniform law and only relabels the independent, identically distributed tiles, so Pn is translation-stationary. Put ρn=Nn/Vn. Its intensity is Nn/and=ρnVn/and→ρ. For a fixed local-tame test f supported in a bounded set A, choose r larger than its coordinate diameter. The random phase puts A wholly inside an occupied tile with probability at least (Ln−2r)d/and→1. On this event torus translation invariance of Bn gives exactly its local law. For any Borel set E⊆ΛLn, torus invariance and the exact count Nn give EBnNE=1Vn∫TLndEBnNE+y dy=Nn∣E∣Vn. The first equality uses invariance; for each fixed configuration, the integral in the numerator sums over its Nn points, and each point lies in E+y for a set of translations of measure ∣E∣. Apply this identity to each occupied portion of A on the bad phase set; gap portions contain no points. The phase-averaged expectation of (1+NA) on that set is at most its probability times 1+ρn∣A∣. Since ∣f∣≤C(1+NA) and ρn is bounded, Pn(f)−Bn(f)→0.

4.1F1F2F3F5F8F10step 1.1step 2.1step 3.1algebra

Fix n and a lattice phase, and restrict to a large observation cube. Its intersections with complete occupied tiles have independent laws Bn; its gap pieces are empty; and only On(surface area) tile intersections meet the observation boundary. The Poisson restrictions on these disjoint pieces are independent by [F10]. For each complete occupied tile, the relative entropy is D(Bn∥QΛLn); restriction contraction [F8] bounds each boundary-tile contribution by this same finite value. An empty gap piece G has entropy D(δ∅∥QG)=−log⁡QG(∅)=∣G∣. Product additivity follows by iterating the chain rule [F8]. For the mixture over the uniform phase, integrate the variational objective from [F8] for any bounded test and bound it by the phase-average conditional entropy; taking the supremum shows the mixture entropy is at most that average. Divide by observation volume and let the cube grow: the complete-tile density tends to an−d, the gap-volume density to (and−Lnd)/and, and the boundary contribution to zero. The specific-entropy limit exists by [F5], so I(Pn)≤D(Bn∥QΛLn)+and−Lndand. For the energy comparison, assign half of each pair term to each endpoint cell. Step 2.1 gives EBnNCiNCj≤C uniformly, a bound O(Vn) on the total negative pair magnitude, and a bound O(Vn) on the total positive pair sum: the latter is the total energy plus the negative pair magnitude, hence is bounded by the positive part of the total energy plus that magnitude. Fix R>R0. Periodic-image pairs of torus separation at most R that are absent from the finite-tile free energy ULn,free cross a tile face; their endpoints lie in a boundary strip of width R+1 containing O(RLnd−1) unit cells. The negative contribution per such cell is bounded by the finite number of near offsets, ϕ≥−2B0 from [F2], and the pair-count bound; the expected positive contribution per cell is bounded by the total positive pair-sum estimate and torus translation invariance. Thus the expected absolute fixed-range discrepancy divided by Vn is O(R/Ln). For remaining pairs, [F3] bounds the expected absolute energy per volume by C∑∣k∣∞>R−cdΨ(k), tending to zero as R→∞. Cross-tile pairs have separation at least gn; the same tail bound with cutoff gn tends to zero as gn→∞. Taking first n→∞ at fixed R and then R→∞ therefore gives Φ(Pn)=EBnUn,per/and+o(1). Combining the entropy bound, step 1.1, and and/Vn→1 gives lim sup⁡n[I(Pn)+bΦ(Pn)]≤1−Fb(ρ). Here the gap fraction vanishes because gn/Ln→0.

5.1A1F4F5F6F9step 3.1step 4.1∎

Stability gives Φ(Pn)≥−B0ρ(Pn), so step 4.1 bounds I(Pn). Compactness [F5] supplies a convergent subsequence from every subsequence. If P is a cluster point, intensity is continuous in τL because the unit-cell count is a local-tame test, hence ρ(P)=ρ. Lower semicontinuity and step 4.1 give I(P)+bΦ(P)≤1−Fb(ρ). Subtract αρ and apply the variational lower bound and exact minimum [F6]; P must attain the grand variational minimum. The singleton hypothesis forces P=P∗. Thus every cluster point is P∗, compactness gives Pn→P∗, and step 3.1 gives Bn[f]→P∗(f) for every local-tame f. By [F9], Bˉn is stationary with intensity Nn/Vn, and torus invariance gives Bˉn(f)=Bn[f]; therefore Bˉn→P∗ in τL. For the exact-Nn canonical law Cnpos, [F4] says its periodized empirical field RLn,ω converges in outer probability in τL to P∗. For a local-tame f with ∣f∣≤c(1+NA), [F9] makes Xn:=RLn,ω(f) measurable and gives ∣Xn∣≤c(1+Nn∣A∣/Vn), uniformly in n. Thus Xn→P∗(f) in probability and the variables are uniformly bounded; for each ϵ>0, ∣EXn−P∗(f)∣≤ϵ+(M+∣P∗(f)∣)Pr⁡(∣Xn−P∗(f)∣>ϵ) for a common bound M, so EXn→P∗(f). Torus translation invariance and [F9] identify EXn=Cnpos[f]. Hence the exact-Nn canonical positional local expectations also converge to P∗.

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Spatial random-occupation conditional mark entropy bound

Statement

Assume AC and the hypotheses of Full phase shell marginal satisfies the positional variational bound. Let Mnph be the normalized phase-reference restriction to An, and let Bn be its positional marginal. Given the full position configuration q, let bn,A(⋅∣q) be the shell conditional law of marks on the marked local restriction of Marked periodic continuation and local restriction. By torus translation invariance, represent any bounded Borel region Δ by a fixed translate inside ΛLn for all sufficiently large n. Choose an axis-parallel half-open cube C⊇Δ of side ℓ>0, independent of n, and pack Lnpack=⌊Ln/ℓ⌋d disjoint translates of C into the periodic cube, so Lnpack/Vn→1/∣C∣. For the independent Gaussian mark reference νb of Interacting marked phase-space and reference measures, EBnD(bn,Δ(⋅∣q)∣∣νb⊗NΔ(q))≤D(Mnph∣∣Cnph)/Lnpack. Thus the left side tends to zero. When Δ itself is an axis-parallel half-open cube, take C=Δ to obtain the stated packing rate 1/∣Δ∣. Occupancy NΔ(q) is random; the comparison is for the full spatially selected set of particles, not a fixed set of labels.

Facts & Assumptions

Given: AC, the shell and canonical phase laws, standard-Borel finite-region restrictions, a fixed bounded Borel region, and the Gaussian mark kernel.

[A1]

AC is used in the conditional-law and entropy-chain results (The Axiom of Choice).

[F1]

Interacting marked phase-space and reference measures and Full phase shell marginal satisfies the positional variational bound: conditional canonical marks are νb⊗Nn; the shell conditional kernel is obtained by restricting the finite mark reference to its energy band; the shell law is invariant under torus translations.

[F2]

Poisson Configuration Reference and Marked periodic continuation and local restriction: finite configurations have measurable cell counts and lexicographic coordinate codes; marked periodic restrictions to bounded regions are finite and measurable, so after conditioning on positions each block is a finite-dimensional standard-Borel coordinate space.

[F3]

Conditional entropy chain and disjoint-block bounds: relative entropy against a product reference is at least the sum of disjoint-block conditional mark divergences.

[F4]

Measurable information contraction and Pinsker bound: measurable restriction of a mark vector cannot increase its relative entropy against the corresponding product reference.

[F5]

Full uniform phase shell has vanishing specific canonical KL: full shell-to-canonical relative entropy is finite and o(Vn).

Proof

Given: The hypotheses and definitions above.

1.1A1F1F3F5construct

The phase reference has a measurable density. For each q, integrate the band indicator over the Nn-mark reference; Tonelli gives a measurable normalizer. On the Bn-full set where it is positive, division gives the conditional kernel bn(⋅∣q); choose a fixed probability kernel on the null complement. The conditional chain rule, nonnegativity of the positional divergence, and [F3] give Jn:=EBnD(bn(.∣q)∣∣νb⊗Nn)≤D(Mnph∣∣Cnph).

2.1F1F2F3step 1.1algebra

For each q, partition its finitely many points into those in each of the Lnpack disjoint translates Cj packed in the periodic cube, plus the remainder. This is a measurable finite partition; ordering the points by the cell codes in [F2] identifies each block with a finite-dimensional standard-Borel mark space, even though its size depends on q. The Gaussian product reference factors over these disjoint sets. Applying [F3] conditionally gives D(bn(.∣q)∣∣νb⊗Nn)≥∑j=1LnpackD(bn,j(.∣q)∣∣νb⊗NΔj(q)), where an empty block contributes zero. Joint torus-translation invariance transports each block law and its reference kernel, so the integrated divergence is the same for every translate. Averaging and discarding the nonnegative remainder term bounds the divergence for a chosen translate of C by Jn/Lnpack.

3.1F4F5step 2.1∎

For Δ⊆C, restriction of the ordered mark vector on q∩C to the points in q∩Δ is measurable. Data processing [F4] gives D(bn,Δ(⋅∣q)∣∣νb⊗NΔ(q))≤D(bn,C(⋅∣q)∣∣νb⊗NC(q)) for Bn-almost every q. Integrating and applying step 2.1 bounds the left side by Jn/Lnpack. By [F5], Jn=o(Vn), while Lnpack/Vn→1/∣C∣>0; therefore the bound tends to zero.

TheoremStatement: AI-adaptedProof: AI-adaptedOpen item page →

Full interacting shell, canonical, and variational-grand local marked equivalence

Statement

Assume AC and the hypotheses and notation of Full phase shell marginal satisfies the positional variational bound, including its AC, ultrafilter extension principle, DC, and HB assumptions. Fix a bounded Borel region Δ and use the marked periodic continuation and local restriction defined in Marked periodic continuation and local restriction. By translating Δ and the spatial argument of G together, take a representative with Δ⊆[0,∞)d; then Δ⊆ΛLn for all sufficiently large n. This translation preserves the expectations because the finite laws are torus-translation invariant and the limiting independent mark lift of the stationary positional state is stationary. Let Mnph be the uniform full-phase band law, Cnph the exact-Nn full canonical law, and P∗ the singleton positional grand variational minimizer. Give points of P∗ independent marks with kernel νb of Interacting marked phase-space and reference measures, and denote the resulting infinite marked law by P∗mark, whose existence is supplied by Existence of the independent Gaussian-marked positional lift. For finite-volume expectations, evaluate G on the restriction ωLn,q,pper∣Δ; under P∗mark, evaluate it on ξΔ. Then for every bounded marked-local observable G on Δ in the sense of Marked periodic continuation and local restriction, EMnphG→EP∗markG,ECnphG→EP∗markG. The matched full grand activity is exp⁡(α)/κb by the normalization identity in Interacting marked phase-space and reference measures; P∗mark is the independent-Gaussian marked lift associated with that positional variational minimizer. If additionally ∣G∣≤C(1+NΔ), shell convergence also holds for G. This is fixed-region convergence, not uniform over growing regions or arbitrary unbounded momentum observables. No finite-volume grand-canonical convergence or DLR converse is asserted.

Facts & Assumptions

Given: The interaction, density, temperature, band, and singleton-minimizer hypotheses from Full phase shell marginal satisfies the positional variational bound.

[A1]

AC is also required by Pinsker's inequality and the countable-coordinate marked-lift construction (The Axiom of Choice).

[F1]

Spatial random-occupation conditional mark entropy bound: for each fixed Δ, the average conditional mark relative entropy on points spatially inside Δ tends to zero, although their number is random.

[F2]

Measurable information contraction and Pinsker bound: measurable restrictions decrease KL divergence, and event-supremum total variation is at most sqrt(D/2).

[F3]

Full phase shell marginal satisfies the positional variational bound: for every local-tame f, the shell and exact-Nn canonical expectations of f on the periodic continuation converge to P∗(f); the shell empirical-field barycenters converge to P∗ in τL, and canonical empirical fields converge in probability there.

[F4]

Interacting marked phase-space and reference measures: canonical marks are independently ν_b-marked, and the full activity corresponding to positional activity exp(α) is exp(α)/κ_b.

[F5]

Existence of the independent Gaussian-marked positional lift and Marked periodic continuation and local restriction: the independent mark kernel defines a unique marked lift of P∗ and preserves stationarity, the local observable is measurable on the finite restriction ξΔ, and finite-torus restrictions use the explicitly defined marked periodic continuation.

[F6]

Local-Tame Topology: every measurable local function bounded by a constant times 1+NΔ is local-tame; in particular every bounded measurable local observable and each bounded indicator of a local count value is an admissible positional convergence test.

[F7]

Superstable regular continuum grand pressure and variational formula: its minimization is over stationary finite-intensity positional laws; hence the variational minimizer P∗ is stationary.

Proof

Given: The hypotheses and exact supplier interfaces in Facts & Assumptions.

1.1A1F1F2construct

Let Bn be the shell positional marginal and let B^n sample Bn followed by independent νb marks. Form two augmented laws on (all positions q, marks attached to q∩Δ): the first is the corresponding marginal of Mnph and the second is that of B^n. Conditional on q, their mark laws are bn,Δ(⋅∣q) and νb⊗NΔ(q). The relative-entropy chain rule therefore makes the augmented divergence exactly the conditional KL average in [F1]. Restricting the augmented observation to positions and marks in Δ is measurable; data processing and Pinsker [F2] show that the local marked restrictions of Mnph and B^n have total variation tending to zero. For bounded G, the expectation difference is at most 2∥G∥∞ times this event-supremum distance, hence tends to zero.

2.1A1F3F4F5F6step 1.1

Integrate G against the finite product νb marks at fixed local q and call the result g(q∩Δ). The lift construction [F5] gives this measurable kernel and its infinite marked law; since G is bounded, ∣g∣≤∥G∥∞. By [F6], g is local-tame. Therefore EB^nG=Bn(g)→P∗(g)=EP∗markG by [F3]. The canonical factorization in [F4] and canonical positional convergence in [F3] give the second limit. By [F4], the matching full activity is exp⁡(α)/κb; this identifies the same infinite variational marked state and says nothing about convergence of finite-volume grand laws.

3.1F1F3F5F6F7step 1.1step 2.1∎

Suppose |G|≤C(1+N_Δ). By [F6], bounded indicators of each count value are local-tame, so their probabilities converge under B_n by [F3]; the mean count also converges because N_Δ is local-tame. For integer K, E_{B_n}(N_Δ-K)^+=E_{B_n}N_Δ-E_{B_n}(N_Δ∧K); for fixed K this converges to the corresponding P_* expectation. If N_Δ>2K, then N_Δ≤2(N_Δ-K), so E[N_Δ1_{N_Δ>2K}]≤2E(N_Δ-K)^+. First take limsup over n, then K→∞; integrability of N_Δ under P_* makes this tail vanish. Indeed P_* is stationary with finite unit-cell intensity by [F7], and bounded Δ meets only finitely many unit cells. This proves uniform integrability of 1+N_Δ under B_n. The shell and Gaussian lift have the same local count law. The limiting marked lift has the same local count as P_*, so its tail also vanishes. Truncate G to N_Δ≤K; it is bounded, so step 1.1 applies. Both finite-volume omitted tails are bounded by C E[(1+N_Δ)1_{N_Δ>K}], uniformly vanishing as K→∞. Let n→∞ and then K→∞ to obtain the claimed shell limit.

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Local kinetic energy and first and second momentum expectations

Statement

Assume AC and the hypotheses of Spatial random-occupation conditional mark entropy bound. Fix a bounded half-open cube Δ⊆[0,∞)d; then Δ⊆ΛLn for all sufficiently large n. By torus translation invariance this placement gives the same limits as any fixed translate of the cube. Let NΔ(q)=#(q∩Δ). For b>0 and K(p)=∣p∣2/(2mE0), the full shell law satisfies EMnph∑x∈q∩ΔK(px)→dρ∣Δ∣/(2b),EMnph∑x∈q∩Δpx,i→0, EMnph∑x∈q∩Δpx,ipx,j→(mE0ρ∣Δ∣/b)δij. The corresponding canonical and marked variational-grand laws have the same limits by their independent Gaussian marking. Momentum is in kg m s^-1, E_0K is in joules, and b=E_0/(k_BT) is dimensionless. These conclusions concern only the named moments, not every unbounded mark observable.

Facts & Assumptions

Given: A fixed cube, the model and Gaussian kernel, the shell and canonical laws, and the local conditional KL bound.

[A1]

AC is used in the relative-entropy variational inequality (The Axiom of Choice).

[F1]

Spatial random-occupation conditional mark entropy bound: expected conditional KL for the marks attached to points in Δ, relative to νb⊗NΔ, tends to zero.

[F2]

Gaussian mark normalization, moments, and exponential controls: for g=K,p_i,p_ip_j the centered log moment-generating function c_g(t) is finite near zero and O(t²); the respective means are d/(2b), 0, and (mE_0/b)δ_ij.

[F3]

Total-energy concentration and controlled canonical windows and Interacting marked phase-space and reference measures: the shell is supported on ∣H/Vn−eb∣≤δn, stability bounds the positional energy below, and the positional shell and canonical laws are torus-translation invariant.

[F4]

Relative Entropy Variational, Chain, and Conditioning Rules: for every bounded measurable h, D(P||Q)≥P(h)-log Q(e^h).

[F5]

Full phase shell marginal satisfies the positional variational bound: the exact-N positional canonical expectations of every local-tame test, including NΔ, converge to P∗, and NΔ is local-tame.

[F6]

Existence of the independent Gaussian-marked positional lift: P∗ has a probability lift whose marks, conditional on positions, are independent with law νb.

Proof

Given: The stated assumptions and supplier definitions.

1.1A1F1F2F3F4construct

Fix one named g and write SΔ=∑x∈q∩Δ(g(px)−Eνg). For positive t in reciprocal units to g, the unbounded test tSΔ is dimensionless; define hM:=max⁡(−M,min⁡(M,tSΔ)) and first use this bounded truncation in [F4]. The bounds ∣hM∣≤t∣SΔ∣ and ehM≤1+etSΔ, together with shell integrability from [F3] and the Gaussian exponential moment [F2], permit dominated convergence as M→∞. Since NΔ≤Nn and cg(t) is finite near zero, the reference exponential moment is finite at each n. Thus the variational inequality extends to tSΔ and gives tEbn,Δ(.∣q)SΔ≤D(bn,Δ(.∣q)∣∣νb⊗NΔ)+NΔcg(t) for sufficiently small t>0. Testing with -tS_Δ gives the analogous inequality for -E S_Δ and c_g(-t). The integrals are finite: the shell bounds total kinetic energy at each n, and the Gaussian exponential moments exist by [F2]. Averaging over B_n yields ∣EMnphSΔ∣≤{EBnD(bn,Δ∣∣νb⊗NΔ)+EBnNΔmax⁡(cg(t),cg(−t))}/t.

2.1A1F1F2F3F5F6step 1.1algebra∎

For any fixed exact-Nn configuration on the torus, averaging NΔ over all torus translations gives Nn∣Δ∣/Vn: each of its Nn points is translated into Δ for a set of translation parameters of Lebesgue measure ∣Δ∣. Translation invariance of Bn and Cnpos therefore gives EBnNΔ=ECnposNΔ=Nn∣Δ∣/Vn→ρ∣Δ∣. For fixed t>0, the first numerator term in step 1.1 vanishes by [F1]. The limsup is at most ρ∣Δ∣max⁡(cg(t),cg(−t))/t; this tends to zero as t↓0 because cg(±t)=O(t2) by [F2]. Hence EMnphSΔ→0. Adding EBnNΔ Eνbg and substituting the three means in [F2] proves the shell formulas. By [F5], EP∗NΔ=lim⁡nECnposNΔ=ρ∣Δ∣. Conditional independent marking [F6] gives the same three limits for the variational-grand marked law; the exact canonical law has them by independent marking as well.

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Physical interacting local phase-space ensemble bridge

Physical scope

Conditional predictions for fixed marked local observables and the named momentum moments in the adopted single-species classical preparation model; no equilibration, experiment, material fit, finite-volume grand limit, or universal shell-width claim.

Statement

Under the hypotheses and adopted preparations below, shell and exact-N canonical expectations of every fixed bounded marked-local observable converge to the same Gaussian-marked positional variational state. The shell also has the kinetic-energy, first-momentum and second-momentum expectation limits stated in Local kinetic energy and first and second momentum expectations. This is a conditional deduction from the model assumptions, not an observation or an equilibration claim.

Facts & Assumptions

Given: AC, the ultrafilter extension principle, DC and HB; an integer dimension d≥1; integer side lengths Ln→∞, Vn=Lnd, and exact particle numbers Nn∈N with Nn/Vn→ρ>0 at an interior attainable density; T>0 kelvin, kB>0 J K−1, βphys:=1/(kBT) in J−1, and b=E0βphys=E0/(kBT); the superstable regular interaction with periodic boundary condition bc=per; existence of the positional canonical log rate Fb′(ρ) for every b′ in a neighborhood of b, differentiability at b, a finite supporting α with PLeb(α,b)=Fb(ρ)+αρ, and a singleton positional grand variational minimizer. Adopt the single-species preparations of Classical full-phase interacting ensemble preparations under the exact conditions stated there. By that postulate and Interacting marked phase-space and reference measures, the finite-volume physical Hamiltonian is E0HLn,per, and the physical preparation laws match the normalized mathematical canonical and band laws. Here ℓ0 is the positive position unit in metres, E0 the positive energy unit in joules, m the positive mass in kilograms, p∗ the positive momentum reference in kg m s−1, and the local region is fixed in dimensionless x=q/ℓ0 coordinates. The numerical intensity ρ corresponds to physical number density ρ/ℓ0d in m−d.

[A1]

The full phase-band, canonical, and grand laws are adopted preparations under Classical full-phase interacting ensemble preparations; no dynamical or empirical premise is added.

[F1]

Full interacting shell, canonical, and variational-grand local marked equivalence: shell and exact-N canonical expectations converge for each fixed bounded measurable marked-local observable to the same Gaussian-marked positional variational state; shell convergence also covers |G|≤C(1+N_Δ).

[F2]

Local kinetic energy and first and second momentum expectations: shell expectations of local kinetic energy and the first and second momentum sums have the stated limits.

[F3]

Interacting marked phase-space and reference measures: integrating the finite-volume grand preparation's momentum factors maps full activity zph to positional activity zphκb. Thus the activity matching eα is eα/κb; this normalization identity makes no finite-volume grand-convergence claim.

Proof

Given: The hypotheses and adopted preparation above.

1.1A1A2F1F3

A fixed bounded marked-local observable is bounded on its named region, so [F1] applies directly to shell and canonical preparations. Their common limiting law is the independent Gaussian mark lift of the positional grand variational minimizer P∗. The finite-volume normalization in [F3] identifies the full-grand activity that matches positional activity exp⁡(α) as exp⁡(α)/κb; it does not assert convergence of finite-volume grand preparations.

2.1A1F2algebra∎

For the named momentum-moment limits, fix a bounded half-open cube Δ⊆[0,∞)d, or any fixed translate of such a cube, as in [F2]. Apply [F2] on this cube. Restoring units multiplies dimensionless kinetic energy by E0 and uses E0/b=kBT=1/βphys; the local kinetic-energy limit is dρ∣Δ∣/(2βphys) joules. The first momentum sum tends to zero, and the momentum-product sum tends to mρ∣Δ∣δij/βphys in SI units. These are conditional model deductions, not measured values or claims of equilibration.

5 · Examples, experiments and counterexamples

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