Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedverified 2026-10-22 (gpt-6.1-sol)
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Finite-spin Dobrushin influence matrix

Definition

Let d≥1, let S be a finite nonempty set, and put X=SZd with the σ-algebra generated by finite-coordinate cylinders. A specification on X is a family γ=(γΛ) of probability kernels indexed by finite Λ⊂Zd. It is proper when each kernel leaves every exterior-measurable event fixed, and consistent when γΛγΔ=γΛ for all finite Δ⊆Λ. For i∈Zd, write γi(⋅∣η) for its one-site conditional probability vector on S, where η∈SZd∖{i}. For probability vectors p,q on S, define their total-variation distance by ∥p−q∥TV:=12∑s∈S∣p(s)−q(s)∣. The influence coefficient of site j on the conditional law at site i is

cijγ:={0,i=j,sup⁡η,η′∈SZd∖{i}ηk=ηk′ for every k∉{i,j}∥γi(⋅∣η)−γi(⋅∣η′)∥TV,i≠j.

The matrix Cγ=(cijγ)i,j∈Zd is the Dobrushin influence matrix of γ. Its coefficients lie in [0,1]; a supremum need not be attained. The Dobrushin row constant is cγ:=sup⁡i∑jcijγ, with value +∞ allowed. A common uniform finite influence radius R means cijγ=0 whenever ∥i−j∥∞>R.

Remarks

The arrow j→i below means that changing spin j can change the conditional law at i; its weight is Cij. A length-n path from j to i contributes the product of its edge weights to (Cn)ij. The picture fixes this index convention only; proofs use the matrix definitions above.

jkiCkjCikCij

Depends on

Dependency tree · 2 levels

Sources