Spatial Mixing and Systematic Scan Markov chains
Antonio Blanca, Pietro Caputo, Alistair Sinclair, Eric Vigoda

TL;DR
This paper establishes a connection between strong spatial mixing (SSM) and rapid mixing of various Markov chains on lattice graphs, providing new bounds and proofs for systematic scan and Swendsen-Wang dynamics.
Contribution
It introduces a combinatorial framework linking SSM to rapid mixing, proving $O( ext{log} n)$ mixing for systematic scan and $O(1)$ relaxation time for Swendsen-Wang dynamics.
Findings
SSM implies $O( ext{log} n)$ mixing for systematic scan dynamics.
SSM implies $O(1)$ relaxation time for Swendsen-Wang dynamics.
Relaxation time of Swendsen-Wang in 2D is $O(1)$ in the subcritical regime.
Abstract
We consider spin systems on the integer lattice graph with nearest-neighbor interactions. We develop a combinatorial framework for establishing that exponential decay with distance of spin correlations, specifically the strong spatial mixing condition (SSM), implies rapid mixing of a large class of Markov chains. As a first application of our method we prove that SSM implies mixing of systematic scan dynamics (under mild conditions) on an -vertex -dimensional cube of the integer lattice graph . Systematic scan dynamics are widely employed in practice but have proved hard to analyze. A second application of our technology concerns the Swendsen-Wang dynamics for the ferromagnetic Ising and Potts models. We show that SSM implies an bound for the relaxation time (i.e., the inverse spectral gap). As a by-product of this implication we…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics · Complex Network Analysis Techniques
