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Finite-spin Dobrushin comparison and boundary response

Statement

Assume the Axiom of Countable Choice. Let d≥1, let S be a finite nonempty set, and put X=SZd with its cylinder-generated Borel σ-algebra. Let γ and γ~ be proper consistent finite-range specifications on X, each with a uniform finite one-site influence radius. Finite range means that for every finite Δ and cylinder event A, each function η↦γΔ(1A∣η) and η↦γ~Δ(1A∣η) depends on only finitely many exterior coordinates, as in Lattice Gibbs kernels and DLR states. For each i,j∈Zd, let Cii=0 and let Cij≥0 dominate both Dobrushin coefficients cijγ and cijγ~ of Finite-spin Dobrushin influence matrix. Assume Cij=0 whenever ∥i−j∥∞>R for some finite integer R≥0 and assume

sup⁡i∈Zd∑j∈ZdCij≤c<1.

For each site i, define the one-site conditional discrepancy

bi:=sup⁡η∈SZd∖{i}∥γi(⋅∣η)−γ~i(⋅∣η)∥TV.

Write CΛ=(Cij)i,j∈Λ and DΛ:=∑n=0∞CΛn for finite Λ, with CΛ0 the identity matrix on Λ; also write Dij:=∑n=0∞(Cn)ij for the infinite-lattice resolvent entries. These sums are finite entrywise, because every row sum of Cn and CΛn is at most cn. A cylinder function is one depending only on the spins in some finite set. For a bounded real cylinder function f:X→R, define its oscillation by δi(f):=sup⁡σ,σ′: σk=σk′ (k≠i)∣f(σ)−f(σ′)∣; only finitely many δi(f) are nonzero.

For every nonempty finite Λ containing a finite coordinate set Kf on which f depends, and exterior configurations ξ,ζ∈SΛc, the corresponding finite-volume Gibbs distributions satisfy

∣γΛ(f∣ξ)−γ~Λ(f∣ζ)∣≤∑i∈Λδi(f)∑k∈ΛDikΛ(bk+∑j∉ΛCkj1{ξj≠ζj}).

Moreover, each specification has a unique DLR state, denoted μ and μ~, and every bounded real cylinder function satisfies

∣μ(f)−μ~(f)∣≤∑i∈Zdδi(f)∑j∈ZdDijbj.

In particular, when γ=γ~ the comparison bound is zero. The estimates are conditional mathematical consequences of the stated finite-spin specifications and strict row bound.

Facts & Assumptions

Given: The finite-spin configuration space and DLR convention, two proper consistent finite-range specifications γ,γ~, a common finite-range matrix C dominating both influence matrices, the strict row bound c<1, and a bounded cylinder function f.

[A1]

Assume Countable Choice: every countable family of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)). This is used only through the DLR existence theorem in [F6].

[F1]

A specification on SZd is proper and consistent when its kernels leave exterior events fixed and satisfy γΛγΔ=γΛ for finite Δ⊆Λ; its DLR states are probability measures satisfying μγΛ=μ for every finite Λ. Finite range means that every finite-volume kernel on a cylinder event depends on finitely many exterior coordinates (Lattice Gibbs kernels and DLR states).

[F2]

The coefficient cijγ bounds the total-variation change in the one-site conditional law at i when only boundary spin j changes, with the same definition for γ~ (Finite-spin Dobrushin influence matrix).

[F3]

For probability vectors on a finite set, a maximal coupling exists whose probability of disagreement equals their half-total-variation distance (Finite maximal coupling and heat-bath stationary law).

[F4]

Every bounded real sequence has a convergent subsequence (Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence).

[F5]

For 0≤c<1, ∑n=0∞cn=1/(1−c) and the tails tend to zero (For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges).

[F6]

Under Countable Choice, a proper consistent finite-alphabet specification with a uniform finite influence radius and strict Dobrushin row constant below 1 has exactly one DLR state (Finite-range Dobrushin uniqueness and boundary influence).

Proof

1.1givenF1algebra

Fix finite Λ and exterior configurations ξ,ζ. Consistency in [F1] makes each finite-volume Gibbs distribution stationary under the random-scan heat-bath chain that chooses a site uniformly from Λ and resamples its spin from the corresponding one-site kernel; the uniform mixture of invariant single-site updates remains invariant.

2.1F1F3F4step 1.1algebraconstruct

Couple the two finite-volume chains by choosing the same update site and using a maximal coupling from [F3] for the two one-site laws. Start the pair chain from the product of the two invariant marginals, so both marginals remain fixed at every time. The Cesàro averages of its distributions lie in a finite probability simplex; [F4] gives a convergent subsequence, and the limit is stationary because the difference between a Cesàro average and its one-step image is the initial-minus-final distribution divided by the averaging length. Its marginals are the two finite-volume Gibbs laws. Since a finite Λ and finite range leave only finitely many exterior coordinates in these transition kernels, choose one such stationary law for each of the finitely many boundary-pattern pairs; this gives a measurable family for integrating over exterior configurations.

3.1F2F3step 2.1algebra

Let qi be the stationary probability that the two configurations disagree at i∈Λ, and let ri be the mismatch probability if site i is selected for update. One random-scan step leaves coordinate i untouched with probability 1−∣Λ∣−1 and updates it with probability ∣Λ∣−1; stationarity therefore gives qi=(1−∣Λ∣−1)qi+∣Λ∣−1ri, hence qi=ri. The maximal-coupling property in [F3] makes ri the expected total-variation distance of the update laws. First change the kernel from γi to γ~i at the same boundary configuration, costing at most bi; then change the differing internal and exterior spins one at a time. By [F2] and the envelope C, the triangle inequality gives qi≤bi+∑j∈ΛCijqj+∑j∉ΛCij1{ξj≠ζj}. The last sum is finite by the common finite-range assumption.

4.1F5step 3.1algebra

Put ei=∑j∉ΛCij1{ξj≠ζj}. Iterating the vector inequality in step 3.1 gives q≤∑n=0N−1CΛn(b+e)+CΛN1. Since every row sum of CΛN is at most cN, [F5] makes the last term tend to zero, yielding q≤DΛ(b+e). Coordinatewise telescoping of f over its finite support then gives the stated finite-volume bound.

5.1F5step 4.1algebra

Let Λ exhaust Zd. For fixed i, each fixed-length path contributing to (CΛnb)i is eventually contained in Λ, and the omitted tail after length N is at most ∥b∥∞cN+1/(1−c) by [F5]. Thus ∑n(CΛnb)i→(Db)i. A path contributing to (CΛne)i must consist of n internal edges followed by one edge to Λc. Because each edge has length at most R, every such path has at least mΛ(i):=⌊dist⁡∞(i,Λc)/R⌋ edges when R>0; mΛ(i)→∞. The sum of weights of all paths of length at least mΛ(i) is at most ∑m≥mΛ(i)cm, which tends to zero by [F5]. If R=0, every off-diagonal coefficient is zero and the boundary term is identically zero.

6.1A1F1F6step 4.1step 5.1∎

The hypotheses of [F6] apply separately to γ and γ~, because their influence matrices are bounded entrywise by C and hence have row constants at most c<1. Their unique DLR states exist. For each finite Λ containing the support of f, integrate the finite-volume estimate from step 4.1 against the product of the two exterior marginals of μ and μ~. The DLR identities in [F1] identify the left side with ∣μ(f)−μ~(f)∣; then step 5.1 and the finite support of f give the asserted infinite-volume inequality. Setting b=0 gives equality of all cylinder expectations, hence equality of the two measures because cylinder events generate the Borel σ-algebra.

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