On Mixing of Markov Chains: Coupling, Spectral Independence, and Entropy Factorization
Antonio Blanca, Pietro Caputo, Zongchen Chen, Daniel Parisi, Daniel, \v{S}tefankovi\v{c}, Eric Vigoda

TL;DR
This paper establishes a connection between contractive couplings, spectral independence, and entropy decay in Markov chains, leading to improved bounds on mixing times and log-Sobolev constants for various spin systems.
Contribution
It introduces new techniques linking contractive couplings to spectral independence and entropy factorization, enabling optimal bounds for mixing times and entropy decay in spin systems.
Findings
Proves that contractive couplings imply spectral independence.
Establishes entropy factorization from spectral independence.
Derives optimal mixing time bounds for Glauber and Swendsen-Wang dynamics.
Abstract
For general spin systems, we prove that a contractive coupling for any local Markov chain implies optimal bounds on the mixing time and the modified log-Sobolev constant for a large class of Markov chains including the Glauber dynamics, arbitrary heat-bath block dynamics, and the Swendsen-Wang dynamics. This reveals a novel connection between probabilistic techniques for bounding the convergence to stationarity and analytic tools for analyzing the decay of relative entropy. As a corollary of our general results, we obtain mixing time and modified log-Sobolev constant of the Glauber dynamics for sampling random -colorings of an -vertex graph with constant maximum degree when for some fixed . We also obtain mixing time and modified log-Sobolev constant of the Swendsen-Wang…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics · Bayesian Methods and Mixture Models
