How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Curie–Weiss magnetization bifurcation at the mean-field critical point
Statement
This is a dimensionless mathematical model: , , , and are dimensionless, so is dimensionless. The labels “coupling” and “inverse-temperature parameter” are conventional names here and do not assign physical units.
Let with uniform reference law . For define its magnetization and the mean-field energy density , where . For inverse-temperature parameter , the canonical macrostate variational objective from the finite-alphabet model is where . This objective has the unique global minimizer when . When , its global minimizers are exactly , where is the unique positive solution of
Statement references
Finite-alphabet mean-field probability ensembles
Finite-alphabet mean-field ensembles and upper supporting lines
Finite relative entropy is continuous on a simplex with positive reference law
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 natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t
Facts & Assumptions
Given: The spin alphabet, uniform reference law, coupling , and parameter in the Statement.
Finite-alphabet mean-field probability ensembles: for a full-support finite reference law, a continuous , and , the canonical variational objective at is ; is the finite relative-entropy sum with zero-mass terms omitted.
Finite-alphabet mean-field ensembles and upper supporting lines: canonical equilibrium macrostates are exactly the global minimizers of .
The natural logarithm as the inverse of the exponential function and Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: is the inverse of on positive reals, is continuous and strictly increasing, is onto , and satisfies .
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with : differentiable real functions compose with derivative under the stated domain and limit-point hypotheses.
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with : a function continuous on a closed interval and differentiable on its interior has an interior derivative equal to its endpoint secant slope.
Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on takes every value between and : a continuous real function on a closed interval takes every value between its endpoint values.
Finite relative entropy is continuous on a simplex with positive reference law: for a finite alphabet and full-support reference law, is finite and continuous on the entire simplex, including its boundary; its proof establishes .
Proof
Write and . Substituting into [F1] with gives with the zero-mass endpoint term omitted. Since depends continuously on and [F8] makes continuous on the whole simplex, adding shows that is continuous on ; [F8] supplies the boundary limit behind the convention . The formula is even in .
For define . By [F3]–[F5] and direct differentiation, For put and define by . Then , , and for . The mean value theorem [F6] applies to on because is continuous there and differentiable on ; it gives , hence .
The same theorem [F6] applied to on gives for some ; as , and , so . As , , and the increasing onto logarithm [F3] gives , hence . Thus is continuous, strictly increasing from limiting value to on .
If , then for , by step 2.1. The mean value theorem [F6] on each subinterval of makes strictly increasing there; continuity includes the endpoint . Evenness then shows for every , so is the unique global minimizer.
If , the limits in step 2.1 give with , . Continuity of on and the intermediate value theorem [F7] give an with ; strict increase of makes it unique on . The derivative formula in step 1.2 is negative for and positive for . By [F6], strictly decreases on and strictly increases on , including the endpoint by continuity. Evenness proves that the only global minimizers on are ; in particular the stationary point is not a minimizer.
The equation is . If , then by [F3], so the stated formula for gives . Hence . Conversely, any solving this fixed-point equation yields by rearrangement of the stated formula; applying and [F3] gives . Strict increase of therefore proves uniqueness of the positive fixed point. By [F2], the global minimizers just classified are exactly the canonical equilibrium magnetizations.
Depends on
Finite-alphabet mean-field probability ensembles
Finite-alphabet mean-field ensembles and upper supporting lines
Finite relative entropy is continuous on a simplex with positive reference law
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 natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with
Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on takes every value between and