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 Potts and Fortuin–Kasteleyn weights
Definition
Let be a finite simple graph, so is finite and is a set of two-element subsets of . Fix an integer , write , and assign to each edge a finite activity . A spin configuration is a function . Its unnormalized Potts weight and partition function are For , let , and let be its number of connected components, counting isolated vertices; equivalently, these are the equivalence classes generated by the endpoint pairs of edges in . Put , with empty product . The unnormalized Fortuin–Kasteleyn (FK) weight and partition function are Both normalizers are finite and positive: the spin sum is finite with every term at least , while the empty-edge FK term is . These are finite mathematical weights; no physical units or empirical status are assigned.