Berman-Konsowa principle for reversible Markov jump processes
Probability
2016-11-08 v2
Abstract
In this paper we prove a version of the Berman-Konsowa principle for reversible Markov jump processes on Polish spaces. The Berman-Konsowa principle provides a variational formula for the capacity of a pair of disjoint measurable sets. There are two versions, one involving a class of probability measures for random finite paths from one set to the other, the other involving a class of finite unit flows from one set to the other. The Berman-Konsowa principle complements the Dirichlet principle and the Thomson principle, and turns out to be especially useful for obtaining sharp estimates on crossover times in metastable interacting particle systems.
Cite
@article{arxiv.1309.1305,
title = {Berman-Konsowa principle for reversible Markov jump processes},
author = {F. den Hollander and S. Jansen},
journal= {arXiv preprint arXiv:1309.1305},
year = {2016}
}
Comments
26 pages, 1 figure