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Explicit nonadditive transition and ensemble inequivalence
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 and joules. Let be disjoint finite sectors with , , and , and define the energy to be , , and on those sectors, respectively. The model is global and size-dependent. Here product-additive means that one fixed finite one-site alphabet supplies for every , and one fixed one-site energy function (with values measured in joules) satisfies . The present family is non-product-additive; no local, short-range, or fluid interpretation is assumed.
Use counting measure on each as the reference measure, so every individual state has weight one. For a real inverse-energy parameter in joules, define the finite exponential-tilt probability by For this is the adopted canonical preparation. For it is only the same finite counting formula used algebraically; no negative-temperature reservoir is asserted. Also, for a shell half-width in joules with , define and give it the uniform counting probability for .
For every real , the finite exponential-tilt probability of obeys whereas the shell probability of is . Define the dimensionless normalized log partition function . Then For , define the canonical mean energy per member by and, when the limit exists, set . The corner occurs at the positive inverse temperature . The limit exists for every and equals for , at , and for . In this item, a first-order transition point means a positive- point where has finite but unequal one-sided limits; thus the jump at is first order under this explicit convention. Every finite- function 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 , and the finite exponential-tilt and shell laws in the Statement.
For the canonical branch, use the adopted preparation convention only when ; the expression is a finite algebraic extension, not a physical negative-temperature claim.
The shell comparison is the separately specified uniform probability on ; it is not derived from dynamics or from a general equivalence principle.
Declared example preparations and thermodynamic interpretation: a canonical probability is the normalized weight relative to a specified reference measure when and the partition function is finite and positive.
The natural logarithm as the inverse of the exponential function: for , is the unique real with .
Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: is strictly increasing and for positive .
The real exponential function and the number by a power series: is the everywhere-convergent real power series.
A real-analytic function on an open subset of 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.
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.
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.
Real analytic inverse and implicit functions: a real-analytic map with invertible derivative has a real-analytic local inverse.
The exponential function is smooth and : for every real .
Finite probability spaces, outcome weights, events, and event probabilities: a finite probability space is a finite outcome set with nonnegative weights summing to , and event probabilities are sums of the weights.
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 .
Proof
Given: The exact model data and law in the Statement; is positive for the canonical physical interpretation and may be any real number in the separate finite algebraic claims.
If this family were product-additive under the definition in the Statement, its fixed alphabet would have , forcing . But . Thus no such product decomposition exists. The three sector weights in the finite exponential tilt are , , and , where ; they sum to the displayed positive finite , so division by gives a finite probability law as in [F10]. For , [A1] and [F1] identify this normalized counting weight with the adopted canonical branch; for it remains only the stated algebraic expression.
The energies of and differ from by exactly . The condition excludes both sectors from , while . Thus the shell is exactly the one-state set and its uniform counting probability assigns probability one.
Put . If , then ; if , then since . Hence . By [F2]–[F3], so taking logarithms in gives , and consequently .
By [F4], is a power series converging for every real argument, so [F6] makes real analytic on . The affine polynomial is real analytic, hence [F7] makes real analytic as well.
Since , . Therefore , and division by gives .
The equality from [F3] gives the unique corner . On , the larger branch is and has slope ; on the larger branch is and has slope . The one-sided slopes differ.
The exponential is positive, so for every real . Its expression as a sum and product of the analytic function in step 1.4 is real analytic by [F7].
By [F12], with [F11] identifying as a finite real random variable, the mean energy per member is for . If , divide numerator and denominator by the high-sector weight : the low-to-high ratio is and the middle-to-high ratio is , so . If , both non-low weights and tend to zero, so . At , the three sector weights are , , and , so . These limits give the stated piecewise and its unequal one-sided limits.
Fix and put . By step 1.4, is real analytic; [F9] gives , so [F8] gives a real-analytic local inverse near . By the inverse definition [F2], that local inverse is on this neighborhood, hence is real analytic near .
By [F5] the target property is real analyticity, and [F7] makes the composition real analytic using steps 2.3 and 3.2. Hence every finite- function is real analytic. The derivative jump in step 2.2 belongs to the limiting function, not to a finite- 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 , including -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.
Depends on
Declared example preparations and thermodynamic interpretation
The natural logarithm as the inverse of the exponential function
Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm
The real exponential function and the number by a power series
Finite probability spaces, outcome weights, events, and event probabilities
Real random variables on finite probability spaces and their finite distributions
Expectation of a real random variable on a finite probability space
A real-analytic function on an open subset of is locally represented by a convergent real power series
The sum of a real power series is real analytic throughout the open interval determined by its radius
Real-analytic functions are closed under sums, products and compositions, and under quotients where the denominator is nonzero
Real analytic inverse and implicit functions
The exponential function is smooth and