Limit Profiles for Reversible Markov Chains

Fuente: arXiv
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Auteurs principaux: Nestoridi, Evita, Olesker-Taylor, Sam
Format: Preprint
Publié: 2020
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author Nestoridi, Evita
Olesker-Taylor, Sam
author_facet Nestoridi, Evita
Olesker-Taylor, Sam
contents In a recent breakthrough, Teyssier [Tey20] introduced a new method for approximating the distance from equilibrium of a random walk on a group. He used it to study the limit profile for the random transpositions card shuffle. His techniques were restricted to conjugacy-invariant random walks on groups; we derive similar approximation lemmas for random walks on homogeneous spaces and for general reversible Markov chains. We illustrate applications of these lemmas to some famous problems: the $k$-cycle shuffle, improving results of Hough [Hou16] and Berestycki, Schramm and Zeitouni [BSZ11]; the Ehrenfest urn diffusion with many urns, improving results of Ceccherini-Silberstein, Scarabotti and Tolli [CST07]; a Gibbs sampler, which is a fundamental tool in statistical physics, with Binomial prior and hypergeometric posterior, improving results of Diaconis, Khare and Saloff-Coste [DKS08].
format Preprint
id arxiv_https___arxiv_org_abs_2005_13437
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Limit Profiles for Reversible Markov Chains
Nestoridi, Evita
Olesker-Taylor, Sam
Probability
Combinatorics
Group Theory
Representation Theory
20C15, 20C30, 43A30, 43A65, 43A90, 60B15, 60J10, 60J20
In a recent breakthrough, Teyssier [Tey20] introduced a new method for approximating the distance from equilibrium of a random walk on a group. He used it to study the limit profile for the random transpositions card shuffle. His techniques were restricted to conjugacy-invariant random walks on groups; we derive similar approximation lemmas for random walks on homogeneous spaces and for general reversible Markov chains. We illustrate applications of these lemmas to some famous problems: the $k$-cycle shuffle, improving results of Hough [Hou16] and Berestycki, Schramm and Zeitouni [BSZ11]; the Ehrenfest urn diffusion with many urns, improving results of Ceccherini-Silberstein, Scarabotti and Tolli [CST07]; a Gibbs sampler, which is a fundamental tool in statistical physics, with Binomial prior and hypergeometric posterior, improving results of Diaconis, Khare and Saloff-Coste [DKS08].
title Limit Profiles for Reversible Markov Chains
topic Probability
Combinatorics
Group Theory
Representation Theory
20C15, 20C30, 43A30, 43A65, 43A90, 60B15, 60J10, 60J20
url https://arxiv.org/abs/2005.13437