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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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