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-rate fluctuation response and Green–Kubo inverse
Statement
Assume the Axiom of Choice The Axiom of Choice, countable choice The Axiom of Countable Choice (), and the rate model of Finite reversible stochastic rate model. Let be the stationary two-sided chain of Nonexplosive finite continuous-time chain and reversible spectral gap, with transition semigroup . For any real observables , write and , and define Define , where is pointwise multiplication. For any finite horizon , let be continuous and let be dimensionless. For , prescribe rates with negative row sums on the diagonal, and let evolve by the resulting finite forward equation. For , the derivative of the observable mean at is For a constant field , define the normalized perturbed Gibbs vector by It is stationary and its static susceptibility is .
For any bounded vector observable , set and These correlations are absolutely integrable. The Green–Kubo covariance limit is where is the inverse on the mean-zero subspace and is positive semidefinite.
Facts & Assumptions
Given: Choice, countable choice, and the connected finite reversible rate model.
The Axiom of Choice: every family of nonempty sets has a choice function.
The Axiom of Countable Choice (): for every sequence of nonempty sets , there is a choice function selecting one member of each .
Finite reversible stochastic rate model: and ; for , , is a positive probability vector, the positive-rate graph is connected, and .
Nonexplosive finite continuous-time chain and reversible spectral gap: is stochastic; is self-adjoint on with a one-dimensional constant kernel and a positive gap; from initial law there is a jointly measurable two-sided stationary chain.
Green–Kubo covariance limit under absolute integrability: for a jointly measurable, centered, second-order stationary process on a two-sided time axis with absolutely integrable covariances, the covariance of its time integral divided by converges to the symmetrized integrated covariance matrix, which is positive semidefinite.
Proof
Given: [A1]–[A2] and [F1]–[F3].
By [F2], choose an orthonormal eigenbasis of with and for , where . For centered , expand and . Then and . The sum is finite, so the correlation is absolutely integrable. Applying the same expansion to each component of gives , a symmetric positive-semidefinite matrix. The two-sided stationary chain in [F2] has bounded, jointly measurable ; its covariance is absolutely integrable by this expansion, so [F3] gives the stated covariance limit and agrees with this matrix.
For a finite time interval, the controlled off-diagonal rate matrix has the uniform expansion , where for and each diagonal entry makes its row sum zero. The remainder is uniform because is finite and is bounded. The finite forward equation has a unique solution: its Picard series converges uniformly, since the th iterated integral is bounded by when . Since is finite, is bounded, and the exponential factors are bounded uniformly for and , choose one larger than every controlled exit rate on this set. Then has nonnegative entries; after , its Picard series has nonnegative terms, so for all such . The row sums of are zero, hence total mass remains one. Subtracting the unperturbed equation and using gives on by successive substitution in the bounded linear integral equation. Put ; then . The second integrand converges uniformly to , since uniformly and uniformly. Subtracting the limiting integral equation bounds by a term tending uniformly to zero plus ; successive substitution bounds this difference by the forcing error times . Thus exists and satisfies , . Variation of constants, verified by differentiation, gives .
For each state , detailed balance in [F1] and the definition of give . Indeed, replacing by makes the first sum the negative of the second before its prefactor is applied. Thus . Self-adjointness of and imply , proving the response formula.
For constant , put and . Multiplying this by gives a common edge factor proportional to , symmetric in by detailed balance. Hence is stationary. Differentiating its finite normalization sum at gives , the stated static susceptibility.