Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-26T04:16:26.672Z Has data issue: false hasContentIssue false

Conditions for integrability of Markov chains

Published online by Cambridge University Press:  14 July 2016

K. Hamza*
Affiliation:
The University of Melbourne
F. C. Klebaner*
Affiliation:
The University of Melbourne
*
Postal address for both authors: Department of Statistics, The University of Melbourne, Parkville, VIC 3052, Australia.
Postal address for both authors: Department of Statistics, The University of Melbourne, Parkville, VIC 3052, Australia.

Abstract

We give simple sufficient conditions for integrability of continuous-time Markov chains in terms of their infinitesimal parameters. Similar conditions for regularity are stated first, and a simple proof given.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1995 

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.)

Footnotes

Research supported by the Australian Research Council.

References

[1] Chen, Mu-Fa (1991) On three classical problems for Markov chains with continuous time parameters. J. Appl. Prob. 28, 305320.CrossRefGoogle Scholar
[2] Chung, K. L. (1967) Markov Chains with Stationary Transition Probabilities. Springer-Verlag, New York.Google Scholar
[3] Dellacherie, C. and Meyer, P. (1982) Probabilities and Potential B. North-Holland, Amsterdam.Google Scholar
[4] Ethier, S. and Kurtz, T. (1986) Markov Processes, Characterization and Convergence. Wiley, New York.CrossRefGoogle Scholar
[5] Jacod, J. and Shiryaev, A. N. (1987) Limit Theorems for Stochastic Processes. Springer-Verlag, Berlin.CrossRefGoogle Scholar