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Conditional Gibbs kernel consistency
Statement
Assume the finite-alphabet product-measure convention and conditional Gibbs formula of Lattice Gibbs kernels and DLR states, a finite-range interaction, and . For every finite and exterior , the displayed partition is finite and strictly positive, the formula defines a measurable proper probability kernel, and the family satisfies whenever finite .
Facts & Assumptions
Given: The finite-range interaction, , and the conditional Gibbs formula and operator convention of Lattice Gibbs kernels and DLR states.
The finite Gibbs variational identity defines the strictly positive normalized finite-volume law whenever the finite state set is nonempty and the energies are real (Finite Gibbs relative entropy and free-energy minimum).
The candidate kernel, specification terminology, and finite-range locality condition are defined in Lattice Gibbs kernels and DLR states.
Proof
For fixed finite , only finitely many translated interaction supports meet it, so every is a finite real number and is finite nonempty. Thus is a positive finite sum and [F1] supplies its normalized probability weights.
For , split the terms meeting into those meeting and those disjoint from . The second sum is independent of , so . Consequently . In , first sum over the spin assignment on while holding fixed. Its weights sum to , which cancels the denominator in . The remaining sum is , which is exactly by reindexing as a configuration on . The factor remains; it does not cancel by itself.
Each replacement map is continuous in the product topology, and each weight depends on finitely many boundary coordinates; finite sums therefore make measurable for bounded measurable . When for a cylinder event , its value additionally depends only on the finitely many coordinates specified by , so the resulting function of depends on finitely many coordinates. For an exterior event measurable in the exterior cylinder sigma-algebra, let . Then for every local assignment, so ; this is properness. Whenever a kernel is integrated against a probability on or composed with another kernel, its exterior argument is the restriction of that global configuration to the relevant complement.
Steps 1.1, 2.2 and 2.1 prove normalization, measurability, properness and consistency, so the candidate family is a specification.