Coupling and Ergodic Theorems for Semi-Markov-Type Processes II : Semi-Markov Processes and Multi-Alternating Regenerative Processes with Semi-Markov Modulation / by Dmitrii Silvestrov.

Format:

Book

Author/Creator:

Silvestrov, Dmitrii.

Series:

Mathematics and Statistics Series

Language:

English

Subjects (All):

Probabilities.

Applied Probability.

Probability Theory.

Local Subjects:

Applied Probability.

Probability Theory.

Physical Description:

1 online resource (853 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

Ergodic theorems are a cornerstone of the theory of stochastic processes and their applications. This book is the second volume of a two-volume monograph dedicated to ergodic theorems. While the first volume centers on Markovian and regenerative models, the second volume extends the scope to semi-Markov processes and multi-alternating regenerative processes with semi-Markov modulation and delves into ergodic theorems with explicit power and exponential upper bounds for convergence rates for such processes. The book offers a powerful and constructive probabilistic framework by employing coupling ergodic theorems presented in the first volume in conjunction with the method of artificial regeneration and test functions. Theoretical findings are illustrated with applications to semi-Markov Monte Carlo algorithms and perturbed queuing systems featuring explicit convergence rate bounds. Many results presented in the book are groundbreaking, appearing in publication for the first time. Designed with researchers and advanced students in mind, the content is thoughtfully structured by complexity, making it suitable for self-study or as a resource for upper-level coursework. Each chapter is self-contained and complemented by a comprehensive bibliography, ensuring its value as a long-lasting reference. An essential resource for theoretical and applied research, this book significantly contributes to the field of stochastic processes and will remain a key reference for years to come. .

Contents:

Preface

Introduction

Summary of Ergodic Theorems for Regenerative Processes

Modifications of Hitting Times

Birth-Death-Type Processes

Semi-Markov Processes with Discrete State Spaces and Embedded Regenerative Processes

Ergodic Theorems for Queuing Systems

Semi-Markov Processes with General State Spaces with Atoms

Semi-Markov Processes with General State Spaces and Distributional Atoms

Semi-Markov Processes with General State Spaces and One-Step Artificial Regeneration

Semi-Markov Processes with General State Spaces and Multi-Step Artificial Regeneration

Multi-Alternating Regenerative Processes with Semi-Markov Modulation

Multi-Alternating Regenerative Processes Modulating by Uniformly Recurrent Semi-Markov Processes

Appendix A. Methodological and Bibliographical Notes

References

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031893155

OCLC:

1547693813