Nonlinearly Perturbed Semi-Markov Processes

Contains an extended bibliography of works in the areas
Essential reference for theoretical and applied researchers
Allows use with mixed-level classes for doctoral and advanced undergraduate students

Contains an extended bibliography of works in the areas Essential reference for theoretical and applied researchers Allows use with mixed-level classes for doctoral and advanced undergraduate students Includes supplementary material: sn.pub/extras

Autorentext
Dmitrii Silvestrov: Candidate of Science [eq. PhD], (1969, Kiev University), Doctor of Science (1972, Kiev University), Professor at Kiev University (1974-1992), Mälardalen University (1999-2009) and Stockholm University from 2009. The main areas of research are stochastic processes and actuarial and financial mathematics. Author of 10 books and more than 140 research papers, co-editor of 15 collective books and proceedings. Supervised 22 doctoral students who subsequently obtained eq. PhD and PhD degrees.
Sergei Silvestrov: PhD (1996, Umeå University), Docent at Lund University (2002-2011), Professor at Mälardalen University from 2011. The main areas of research are non-commutative analysis and geometry and applied matrix analysis. Author of 1 book and more than 120 research papers, co-editor of 15 collective books and proceedings. Supervised 6 doctoral students who subsequently obtained PhDdegrees.

Klappentext

The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space screening procedures for sequential phase space reduction of semi-Markov processes combined with the systematical use of operational calculus for Laurent asymptotic expansions. Effective recurrent algorithms are composed for getting asymptotic expansions, without and with explicit upper bounds for remainders, for power moments of hitting times, stationary and conditional quasi-stationary distributions for nonlinearly perturbed semi-Markov processes. These results are illustrated by asymptotic expansions for birth-death-type semi-Markov processes, which play an important role in various applications. The book will be a useful contribution to the continuing intensive studies in the area. It is an essential reference for theoretical and applied researchersin the field of stochastic processes and their applications that will contribute to continuing extensive studies in the area and remain relevant for years to come.

Inhalt
Laurent Asymptotic Expansions.- Asymptotic Expansions for Moments of Hitting Times for Nonlinearly Perturbed Semi-Markov Processes.- Asymptotic Expansions for Stationary Distributions of Nonlinearly Perturbed Semi-Markov Processes.- Nonlinearly Perturbed Birth-Death-Type Semi-Markov Processes.- Examples and Survey of Applied Perturbed Stochastic Models.- A. Methodological and Bibliographical Remarks.