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A formula for singular perturbations of Markov chains

Published online by Cambridge University Press:  14 July 2016

Jean B. Lasserre*
Affiliation:
LAAS-CNRS
*
Postal address: LAAS-CNRS, 7 Avenue du Colonel Roche, 31 077 Toulouse Cédex, France.

Abstract

We give formulas for updating both the steady-state probability distribution and the fundamental matrices of a singularly perturbed Markov chain. This formula generalizes Schweitzer's regular perturbation formulas to the case of singular perturbations.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1994 

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References

[1] Abbad, M. and Filar, J. (1992) Algorithms for singularly perturbed limiting average cost control problems. IEEE Trans. Autom. Control. 37, 14211425.CrossRefGoogle Scholar
[2] Delebecque, F. and Quadrat, J. P. (1981) Optimal control of Markov chains admitting strong and weak interactions. Automatica 17, 281296.Google Scholar
[3] Schweitzer, P. J. (1968) Perturbation theory and finite Markov chains. J. Appl. Prob. 5, 401413.CrossRefGoogle Scholar
[4] Schweitzer, P. J. (1968) Perturbation theory and undiscounted Markov renewal programming. Operat. Res. 17, 716727.Google Scholar
[5] Kemeny, J. G. and Snell, J. L. (1960) Finite Markov Chains. Van Nostrand, Princeton, NJ.Google Scholar
[6] Yosida, K. (1980) Functional Analysis. Springer-Verlag, New York.Google Scholar