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.
Finite canonical partition, energy, variance, entropy and free-energy identities
Exact finite-sum predictions for the adopted canonical law on a fixed finite microstate list with fixed internal energies; the statistical free-energy value is not automatically identified with a macroscopic Legendre potential or an empirical thermodynamic measurement.
Statement
Let be a finite microstate model with energies from Finite statistical microstate model. Let , , and be the adopted preparation of Canonical sampling assumption for finite and normalized statistical models. With , , and , the finite partition sum is positive and Consequently the statistical free-energy value satisfies . The derivatives hold the finite state set and its energy list fixed. No equivalence with a macroscopic entropy or Helmholtz potential is asserted.
Facts & Assumptions
Given: A finite nonempty state set, a fixed energy list in joules, , the fixed SI value of , and the adopted canonical weights.
Finite statistical microstate model: is finite and nonempty and each is a fixed energy in joules.
The exponential function is smooth and : for each fixed .
The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t and The natural logarithm as the inverse of the exponential function: for differentiable positive , .
Proof
Given: The finite canonical model and its fixed energy values.
Since is finite and nonempty and every , the finite sum is strictly positive and finite. The weights therefore sum to one by their definition.
Differentiating the finite sum term by term using [F3] gives and . Applying [F4] yields and .
For each , . Substituting this into the finite entropy sum gives . Since , rearrangement gives .