Hostname: page-component-74656f9884-g96k6 Total loading time: 0 Render date: 2026-11-11T01:38:52.050Z Has data issue: false hasContentIssue false

On determining absorption probabilities for Markov chains in random environments

Published online by Cambridge University Press:  01 July 2016

Richard D. Bourgin*
Affiliation:
Howard University
Robert Cogburn*
Affiliation:
The University of New Mexico
*
∗ Postal address: Department of Mathematics, Howard University, Washington, DC 20059, U.S.A.
∗∗ Postal address: Department of Mathematics and Statistics, The University of New Mexico, Albuquerque, NM 87131, U.S.A.

Abstract

The general framework of a Markov chain in a random environment is presented and the problem of determining extinction probabilities is discussed. An efficient method for determining absorption probabilities and criteria for certain absorption are presented in the case that the environmental process is a two-state Markov chain. These results are then applied to birth and death, queueing and branching chains in random environments.

Information

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1981 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable