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.
A strictly convex entropy interval with no canonical energies
Example
Take the binary alphabet with uniform reference and continuous energy-density map on . With and , the constrained entropy from the finite-alphabet mean-field model is for . For , Each such energy lies in an interval of strict convexity and therefore has no affine upper supporting line of any slope. Consequently none of these microcanonical energies is realized by a canonical mean-field ensemble at any .
Example references
Finite-alphabet mean-field probability ensembles
Finite-alphabet mean-field ensembles and upper supporting lines
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 binary alphabet, uniform reference, energy map, entropy convention, and the definitions and suppliers listed below.
Finite-alphabet mean-field probability ensembles: , , and the canonical variational objective is .
Finite-alphabet mean-field ensembles and upper supporting lines: an energy is canonical at slope only if on the whole energy range.
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 , is strictly increasing, and satisfies .
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with : derivatives of real function compositions obey the chain rule under the stated domain hypotheses.
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with : for a continuous function on a closed interval differentiable in its interior, the endpoint secant slope equals an interior derivative.
Verification
If , then forces and , so the constraint fiber is the singleton . By [F1], , and therefore . If , then forces and , again a singleton fiber. The relative-entropy formula in [F1] gives ; hence .
For , [F4]–[F5] give and therefore . Differentiating once more yields , where .
On , decreases and increases, so decreases. At , and . Since , [F3] gives ; and [F4] gives because on with strict inequality on . Thus . Also by integer multiplication, so and throughout . In particular on that interval. By applying [F6] first to and then to , positive second derivative makes strictly increasing and every interior chord lie strictly above the graph; hence is strictly convex on .
Fix and choose so that , possible because . Strict convexity from step 3.1 gives . If an upper supporting line with slope existed at , its inequalities at and would instead give , a contradiction. By [F2], no such energy is canonical for any real .
Depends on
Finite-alphabet mean-field probability ensembles
Finite-alphabet mean-field ensembles and upper supporting lines
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