A Martingale approach to metastability
J. Beltr\'an, C. Landim

TL;DR
This paper introduces a new martingale-based method to analyze metastability in continuous-time Markov chains, focusing on mixing and relaxation times instead of direct jumps among metastable states.
Contribution
It extends previous approaches by replacing the jump-based assumptions with conditions on mixing and relaxation times, broadening the applicability of metastability analysis.
Findings
New martingale approach for metastability analysis
Conditions on mixing and relaxation times replace jump assumptions
Broader applicability to continuous-time Markov chains
Abstract
We presented in \cite{bl2,bl7} an approach to derive the metastable behavior of continuous-time Markov chains. We assumed in these articles that the Markov chains visit points in the time scale in which it jumps among the metastable sets. We replace this condition here by assumtpions on the mixing times and on the relaxation times of the chains reflected at the boundary of the metastable sets.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics · Gene Regulatory Network Analysis
