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General solidarity theorems for semi-Markov processes

Published online by Cambridge University Press:  14 July 2016

Choong K. Cheong*
Affiliation:
Catholic University of Louvain, Belgium
Jozef L. Teugels
Affiliation:
Catholic University of Louvain, Belgium
*
*Now at the University of Malaya, Kuala Lumpur.

Abstract

Let {Zt, t ≧ 0} be an irreducible regular semi-Markov process with transition probabilities Pij (t). Let f(t) be non-negative and non-decreasing to infinity, and let λ ≧ 0. This paper identifies a large set of functions f(t) with the solidarity property that convergence of the integral ≧ eλtf(t)Pij(t) dt for a specific pair of states i and j implies convergence of the integral for all pairs of states. Similar results are derived for the Markov renewal functions Mij (t). Among others it is shown that f(t) can be taken regularly varying.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1972 

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References

[1] Callaert, H. and Teugels, J. L. (1972) Regular variation of Markov renewal functions. (To appear.) Google Scholar
[2] Cheong, C. K. (1968) Ergodic and ratio limit theorems for a-recurrent semi-Markov processes. Zeit. Wahrscheinlichkeitsth. 9, 270286.Google Scholar
[3] Chung, K. L. (1967) Markov Chains with Stationary Transition Probabilities. Springer-Verlag, New York.Google Scholar
[4] Feller, W. (1966) An Introduction to the Theory of Probability and its Applications. Vol. II. J. Wiley, New York.Google Scholar
[5] Pyke, R. (1961) Markov renewal processes: definitions and preliminary properties and Markov renewal processes with finitely many states. Ann. Math. Statist. 32, 12311259.CrossRefGoogle Scholar
[6] Teugels, J. L. (1968) Exponential ergodicity in Markov renewal processes. J. Appl. Prob. 5, 387400.Google Scholar
[7] Teugels, J. L. (1970) Regular variation of Markov renewal functions. J. London Math. Soc. II, 2, 179190.CrossRefGoogle Scholar