Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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 G=(V,E) be a finite simple graph, so V is finite and E is a set of two-element subsets of V. Fix an integer Q≥2, write [Q]={1,…,Q}, and assign to each edge e∈E a finite activity ve∈[0,∞). A spin configuration is a function σ:V→[Q]. Its unnormalized Potts weight and partition function are wP(σ):=∏e={ue,we}∈E(1+ve1{σ(ue)=σ(we)}),ZP(Q,v):=∑σ:V→[Q]wP(σ). For A⊆E, let GA=(V,A), and let kG(A) be its number of connected components, counting isolated vertices; equivalently, these are the equivalence classes generated by the endpoint pairs of edges in A. Put vA:=∏e∈Ave, with empty product 1. The unnormalized Fortuin–Kasteleyn (FK) weight and partition function are wFK(A):=QkG(A)vA,ZFK(Q,v):=∑A⊆EwFK(A). Both normalizers are finite and positive: the spin sum is finite with every term at least 1, while the empty-edge FK term is Q∣V∣>0. These are finite mathematical weights; no physical units or empirical status are assigned.

Depends on

Dependency tree · 2 levels

Sources