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.
Isobaric volume and enthalpy fluctuations
Finite isothermal-isobaric preparation with fixed declared joint reference, positive temperature and pressure, and uniform local envelopes for volume and enthalpy moments.
Statement
For the joint preparation of Isothermal-isobaric joint preparation, write for its Hamiltonian and set . Suppose the local exponential envelopes hold for on the measurable finite-energy set , with the joint reference restricted to . The Gibbs weight is zero off ; there and are finite real-valued statistics and the restricted reference remains sigma-finite. At fixed and , When , the model isothermal compressibility equals . These are finite preparation responses for the specified reference; they need not equal macroscopic response functions absent an additional limit argument.
Facts & Assumptions
Given: The adopted joint volume-phase law, positive finite normalizer, fixed reference data and uniform local exponential-moment envelopes.
The pressure prior is and the normalizer is positive finite by the adopted Isothermal-isobaric joint preparation. The local exponential envelopes on dominating the required powers of and are the additional hypotheses in the Statement.
, the shape reference and are temperature independent, and with (SI quantities and unit conventions).
Under the common envelope, derivatives of log normalizers are means and covariances of their sufficient statistics (Dominated exponential normalization and covariance).
Proof
Given: [A1]–[A2] and the joint preparation and exponential-derivative interfaces [F1].
In , differentiate with respect to using [F1], with statistic and coefficient . This gives . Differentiating that expectation once more gives . The definition of then gives its displayed formula.
At fixed pressure, use sufficient statistic with parameter . [F1] yields and . Since , the chain rule gives . Both variances are nonnegative integrals of squares.