Algebraic convergence of Markov chains
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.
scientific article; zbMATH DE number 2005170