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Conditions for strong ergodicity using intensity matrices

Published online by Cambridge University Press:  14 July 2016

Jean Johnson*
University of Kansas
Dean Isaacson*
Iowa State University
Postal address: Department of Mathematics, University of Kansas, Lawrence, KS 66045, USA.
∗∗ Postal address: Department of Statistics, Iowa State University, Ames, IA 50011, USA.


Sufficient conditions for strong ergodicity of discrete-time non-homogeneous Markov chains have been given in several papers. Conditions have been given using the left eigenvectors ψn of Pn(ψ nPn = ψ n) and also using the limiting behavior of Pn. In this paper we consider the analogous results in the case of continuous-time Markov chains where one uses the intensity matrices Q(t) instead of P(s, t). A bound on the rate of convergence of certain strongly ergodic chains is also given.

Research Papers
Copyright © Applied Probability Trust 1988 

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