Abstract
In this chapter, we present models of regularly and singularly perturbed semi-Markov processes and formulate basic perturbation conditions and asymptotic comparability conditions based on the notion of a complete family of asymptotically comparable functions. We also describe asymptotic procedures of removing virtual transitions and one-state reducing the phase space, and an asymptotic recurrent phase space reduction algorithm for perturbed semi-Markov processes. These procedures and algorithm are provided by explicit formulas for recalculating normalisation functions, Laplace transforms for limit distributions, and limit expectations appearing in perturbation conditions for semi-Markov processes with reduced phase space. This chapter includes four sections.
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References
Feller, W. (1971). An Introduction to Probability Theory and Its Applications, Vol. II. (Second edition, Wiley Series in Probability and Statistics, Wiley, New York, xxiv+669 pp. (First edition in 1966).
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Silvestrov, D. (2022). Perturbed Semi-Markov Processes and Reduction of Phase Space. In: Perturbed Semi-Markov Type Processes I. Springer, Cham. https://doi.org/10.1007/978-3-030-92403-4_9
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DOI: https://doi.org/10.1007/978-3-030-92403-4_9
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-92403-4
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