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.
Fixed lapse two gas normalization
Grand-canonical classical ideal gas on a prescribed flat finite box with constant dimensionless lapse two and a stated Killing-generator normalization; the local temperature parameter is T_K/2 and is not a reported measurement.
Example
Let with , open, , and constant dimensionless lapse on the prescribed static metric , with . Choose positive particle mass in kilograms, in metres per second, action reference in joule-seconds, inverse Killing-energy parameter in inverse joules, and dimensionless fugacity . Select the grand-canonical branch, in which particle number is summed rather than fixed. Since the metric coefficients are independent of , choose the Killing generator to define . This fixes a normalization convention for the generator; is not identified with the proper temperature at the wall.
Facts & Assumptions
Given: The spatial box is bounded with positive finite volume, the static metric is prescribed, its lapse is the constant , the Killing generator has the stated normalization, , and the grand-canonical branch is selected.
On a prescribed bounded-lapse static background, the selected grand-canonical classical gas has , , and . (Constructed static gas redshift and hydrostatics)
Verification
The constant lapse satisfies with , the flat spatial box has positive finite volume, the classical parameters are positive, and the grand-canonical branch is selected; thus [F1] applies.
Apply [F1] to the selected branch: is finite and positive and is finite and positive. Substituting gives . These are normalization and parameter identities in the selected model and report no observed temperature.