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Explicit nonadditive transition and ensemble inequivalence

Physical scope

A specified finite global three-sector model with N-dependent multiplicities; its positive-temperature canonical limit has a jump in mean energy per member and a middle-sector ensemble-inequivalence witness. No volume density, short-range model, or empirical system is asserted.

Statement

Fix N≥1 and ϵ>0 joules. Let ΩN=AN⊔BN⊔CN be disjoint finite sectors with ∣AN∣=1, ∣BN∣=1, and ∣CN∣=4N, and define the energy HN to be 0, Nϵ, and 2Nϵ on those sectors, respectively. The model is global and size-dependent. Here product-additive means that one fixed finite one-site alphabet Γ supplies ΩN=ΓN for every N, and one fixed one-site energy function h:Γ→R (with values measured in joules) satisfies HN(γ1,…,γN)=∑i=1Nh(γi). The present family is non-product-additive; no local, short-range, or fluid interpretation is assumed.

Use counting measure on each ΩN as the reference measure, so every individual state has weight one. For a real inverse-energy parameter β in joules−1, define the finite exponential-tilt probability by ZN(β)=∑ω∈ΩNe−βHN(ω)=1+e−βNϵ+4Ne−2βNϵ,Pβ,N(ω)=e−βHN(ω)ZN(β). For β>0 this is the adopted canonical preparation. For β≤0 it is only the same finite counting formula used algebraically; no negative-temperature reservoir is asserted. Also, for a shell half-width Δ in joules with 0≤Δ<Nϵ, define SN,Δ={ω:∣HN(ω)−Nϵ∣≤Δ} and give it the uniform counting probability QN,Δ(ω)=∣SN,Δ∣−1 for ω∈SN,Δ.

For every real β, the finite exponential-tilt probability of BN obeys Pβ,N(BN)≤12N+1+1, whereas the shell probability of BN is 1. Define the dimensionless normalized log partition function ψN(β)=N−1log⁡ZN(β). Then ψN(β)⟶ψ(β):=max⁡{0,log⁡4−2βϵ},0≤ψN(β)−ψ(β)≤log⁡3N. For β>0, define the canonical mean energy per member by uN(β):=N−1EPβ,N[HN] and, when the limit exists, set u(β):=lim⁡N→∞uN(β). The corner occurs at the positive inverse temperature βc=(log⁡2)/ϵ. The limit u(β) exists for every β>0 and equals 2ϵ for 0<β<βc, ϵ at β=βc, and 0 for β>βc. In this item, a first-order transition point means a positive-β point where u has finite but unequal one-sided limits; thus the jump at βc is first order under this explicit convention. Every finite-N function ψN is real analytic. This is one explicit global finite-state countermodel, not a universal criterion for phase transitions or ensemble equivalence in short-range matter.

Facts & Assumptions

Given: The stated finite sectors, their counting measure, the energy function, the dimensionful parameter ϵ>0, and the finite exponential-tilt and shell laws in the Statement.

[A1]

For the canonical branch, use the adopted preparation convention only when β>0; the β≤0 expression is a finite algebraic extension, not a physical negative-temperature claim.

[A2]

The shell comparison is the separately specified uniform probability on SN,Δ; it is not derived from dynamics or from a general equivalence principle.

[F1]

Declared example preparations and thermodynamic interpretation: a canonical probability is the normalized e−βH weight relative to a specified reference measure when β>0 and the partition function is finite and positive.

[F2]

The natural logarithm as the inverse of the exponential function: for x>0, log⁡x is the unique real y with exp⁡(y)=x.

[F3]

Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: log⁡ is strictly increasing and log⁡(xy)=log⁡x+log⁡y for positive x,y.

[F4]

The real exponential function and the number e by a power series: exp⁡ is the everywhere-convergent real power series.

[F5]

A real-analytic function on an open subset of R is locally represented by a convergent real power series: a function is real analytic on an open real domain when it has a convergent power-series representation on a neighbourhood of every point.

[F6]

The sum of a real power series is real analytic throughout the open interval determined by its radius: the sum of a real power series is real analytic in the interior of its radius of convergence.

[F7]

Real-analytic functions are closed under sums, products and compositions, and under quotients where the denominator is nonzero: sums, products, nonvanishing quotients, and compatible compositions of real-analytic functions are real analytic.

[F8]

Real analytic inverse and implicit functions: a real-analytic map with invertible derivative has a real-analytic local inverse.

[F9]

The exponential function is smooth and (exp⁡)′=exp⁡: exp⁡′(x)=exp⁡(x)>0 for every real x.

[F10]

Finite probability spaces, outcome weights, events, and event probabilities: a finite probability space is a finite outcome set with nonnegative weights summing to 1, and event probabilities are sums of the weights.

[F11]

Real random variables on finite probability spaces and their finite distributions: a real random variable on a finite probability space is a function from the outcome set to R.

[F12]

Expectation of a real random variable on a finite probability space: E[Y]=∑ω∈ΩY(ω)w(ω).

Proof

Given: The exact model data and law in the Statement; β is positive for the canonical physical interpretation and may be any real number in the separate finite algebraic claims.

1.1givenA1F1F10algebra

If this family were product-additive under the definition in the Statement, its fixed alphabet would have ∣Γ∣=∣Ω1∣=6, forcing ∣Ω2∣=∣Γ∣2=36. But ∣Ω2∣=1+1+42=18. Thus no such product decomposition exists. The three sector weights in the finite exponential tilt are 1, x, and 4Nx2, where x=e−βNϵ>0; they sum to the displayed positive finite ZN(β), so division by ZN gives a finite probability law as in [F10]. For β>0, [A1] and [F1] identify this normalized counting weight with the adopted canonical branch; for β≤0 it remains only the stated algebraic expression.

1.2givenA2algebra

The energies of AN and CN differ from Nϵ by exactly Nϵ. The condition Δ<Nϵ excludes both sectors from SN,Δ, while BN⊆SN,Δ. Thus the shell is exactly the one-state set BN and its uniform counting probability assigns BN probability one.

1.3givenF2F3algebra

Put MN=max⁡{1,4Nx2}. If x≤1, then x≤MN; if x>1, then 4Nx2≥x since N≥1. Hence MN≤ZN≤3MN. By [F2]–[F3], 1Nlog⁡MN=max⁡{0,log⁡4−2βϵ}=ψ(β), so taking logarithms in MN≤ZN≤3MN gives 0≤ψN−ψ≤(log⁡3)/N, and consequently ψN→ψ.

1.4givenF4F6F7algebra

By [F4], exp⁡ is a power series converging for every real argument, so [F6] makes exp⁡ real analytic on R. The affine polynomial β↦−βNϵ is real analytic, hence [F7] makes β↦e−βNϵ real analytic as well.

2.1givenF10step 1.1algebra

Since (1−2Nx)2≥0, 1+4Nx2≥2N+1x. Therefore ZN=1+x+4Nx2≥(2N+1+1)x, and division by ZN>0 gives Pβ,N(BN)≤(2N+1+1)−1.

2.2givenF2F3step 1.3algebra

The equality log⁡4=2log⁡2 from [F3] gives the unique corner βc=(log⁡2)/ϵ>0. On 0<β<βc, the larger branch is log⁡4−2βϵ and has slope −2ϵ; on β>βc the larger branch is 0 and has slope 0. The one-sided slopes differ.

2.3givenF2F7step 1.4algebra

The exponential is positive, so ZN=1+e−βNϵ+4Ne−2βNϵ>0 for every real β. Its expression as a sum and product of the analytic function in step 1.4 is real analytic by [F7].

3.1givenF11F12step 2.2algebra

By [F12], with [F11] identifying HN as a finite real random variable, the mean energy per member is uN(β)=ϵ(x+2⋅4Nx2)/ZN for β>0. If 0<β<βc, divide numerator and denominator by the high-sector weight 4Nx2: the low-to-high ratio is e−N(log⁡4−2βϵ)→0 and the middle-to-high ratio is eN(βϵ−log⁡4)≤2−N→0, so uN(β)→2ϵ. If β>βc, both non-low weights x=e−βNϵ and 4Nx2=eN(log⁡4−2βϵ) tend to zero, so uN(β)→0. At β=βc, the three sector weights are 1, 2−N, and 1, so uN(βc)=ϵ(2−N+2)/(2+2−N)→ϵ. These limits give the stated piecewise u and its unequal one-sided limits.

3.2givenF2F8F9step 1.4step 2.3algebra

Fix β0∈R and put z0=ZN(β0)>0. By step 1.4, exp⁡ is real analytic; [F9] gives exp⁡′(log⁡z0)=z0≠0, so [F8] gives a real-analytic local inverse near z0. By the inverse definition [F2], that local inverse is log⁡ on this neighborhood, hence log⁡ is real analytic near z0.

4.1givenF5F7step 2.2step 2.3step 3.2algebra∎

By [F5] the target property is real analyticity, and [F7] makes the composition N−1log⁡ZN real analytic using steps 2.3 and 3.2. Hence every finite-N function ψN is real analytic. The derivative jump in step 2.2 belongs to the limiting function, not to a finite-N singularity.

Remarks

The uniform shell and the positive-temperature canonical law are two explicitly specified preparations. The strict middle-sector probability bound is uniform in all real β, including N-dependent choices. It establishes one ensemble-inequivalence observable in this global finite-sector sequence; it does not establish behavior for additive or short-range systems.

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