Algebraic convergence of Markov chains
type: Item
instance of: scholarly article
title: Algebraic convergence of Markov chains
zbMATH Open document ID: 1030.60070
author: Yingzhe Wang
author: Mu-Fa Chen
published in: The Annals of Applied Probability
publication date: 2003-11-17T00:00:00Z
review text: The authors investigate criteria for the polynomial, i.e., algebraic, convergence of time-homogeneous reversible Markov chains on countable state spaces with respect to \(L^2\)-norms. The results are in particular applied to birth-death random walks in continuous time. Moreover, the technical results are illustrated by several concrete examples.
reviewed by: Michael Voit
Mathematics Subject Classification ID: 60J27
Mathematics Subject Classification ID: 60F25
zbMATH DE Number: 2005170
zbMATH Keywords: Markov chains
zbMATH Keywords: polynomial convergence
zbMATH Keywords: birth-death chains
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aoap/1050689596
OpenAlex ID: W2096038502
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DOI: 10.1214/AOAP/1050689596
description: scientific article; zbMATH DE number 2005170