Ergodic Markov chains with finite convergence time

A necessary and sufficient condition for a finite ergodic homogeneous Markov chain to converge to the stationary distribution in a finite number of steps is given. This generalizes a recent result of Brosh and Gerchak, who consider only the irreducible case.

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Year of publication:	1981
Authors:	Lindqvist, Bo
Published in:	Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 11.1981, 1, p. 91-99
Publisher:	Elsevier
Keywords:	Ergodicity stationary distribution leading vectors maximal paths

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008875604