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Phase Merging of Semi-Markov Processes

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Semi-Markov Random Evolutions

Part of the book series: Mathematics and Its Applications ((MAIA,volume 308))

Abstract

The algorithms of phase merging (phase averaging) for the semi-Markov processes and semi-Markov random evolutions are based on the inversion limit theorems for the perturbed invertibly reducible operators (see Korolyuk and Turbin [2]). In both cases, the role of invertibly reducible operator is played the generating operator Q = PI of a uniformly ergodic Markov chain with the operator of transition probabilities P (see Section 1.4). In the algorithms of phase merging for the semi-Markov processes, the perturbations are given by bounded operators, while in the case of the semi-Markov random evolutions these are closed densely defined operators.

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© 1995 Springer Science+Business Media Dordrecht

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Korolyuk, V., Swishchuk, A. (1995). Phase Merging of Semi-Markov Processes. In: Semi-Markov Random Evolutions. Mathematics and Its Applications, vol 308. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1010-5_3

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  • DOI: https://doi.org/10.1007/978-94-011-1010-5_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4439-4

  • Online ISBN: 978-94-011-1010-5

  • eBook Packages: Springer Book Archive

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