Journal of Applied Probability

Quasistationarity in continuous-time Markov chains where absorption is not certain

S. J. Darlington and P. K. Pollett
Source: J. Appl. Probab. Volume 37, Number 2 (2000), 598-600.

Abstract

In a recent paper [4] it was shown that, for an absorbing Markov chain where absorption is not guaranteed, the state probabilities at time t conditional on non-absorption by t generally depend on t. Conditions were derived under which there can be no initial distribution such that the conditional state probabilities are stationary. The purpose of this note is to show that these conditions can be relaxed completely: we prove, once and for all, that there are no circumstances under which a quasistationary distribution can admit a stationary conditional interpretation.

First Page: Show Hide
Primary Subjects: 60J27
Secondary Subjects: 60J35
Full-text: Access denied (no subscription detected)
We're sorry, but we are unable to provide you with the full text of this article because we are not able to identify you as a subscriber.
If you have a personal subscription to this journal, then please login. If you are already logged in, then you may need to update your profile to register your subscription. Read more about accessing full-text
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.jap/1014842561
Digital Object Identifier: doi:10.1239/jap/1014842561
Mathematical Reviews number (MathSciNet): MR1781015
Zentralblatt MATH identifier: 0964.60076


2013 © Applied Probability Trust

Journal of Applied Probability

Journal of Applied Probability