Markov Processes, Semigroups and Generators (de Gruyter Studies in Mathematics)

Markov Processes, Semigroups and Generators (de Gruyter Studies in Mathematics)

by VassiliN.Kolokoltsov (Author)

Synopsis

Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly spreads over new fields of natural and social sciences, creating new streamlined logical paths to its turbulent boundary. Even if a given process is not Markov, it can be often inserted into a larger Markov one (Markovianization procedure) by including the key historic parameters into the state space. This monograph gives a concise, but systematic and self-contained, exposition of the essentials of Markov processes, together with recent achievements, working from the physical picture - a formal pre-generator, and stressing the interplay between probabilistic (stochastic differential equations) and analytic (semigroups) tools. The book will be useful to students and researchers. Part I can be used for a one-semester course on Brownian motion, Levy and Markov processes, or on probabilistic methods for PDE. Part II mainly contains the author's research on Markov processes. From the contents: Tools from Probability and Analysis Brownian motion Markov processes and martingales SDE, DE and martingale problems Processes in Euclidean spaces Processes in domains with a boundary Heat kernels for stable-like processes Continuous-time random walks and fractional dynamics Complex chains and Feynman integral

$277.96

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 430
Publisher: Walter de Gruyter
Published: 17 Mar 2011

ISBN 10: 3110250101
ISBN 13: 9783110250107

Media Reviews
[...] As a whole, the book is a valuable source of information both for specialists in the field and those who study the theory of stochastic processes.
Anatoly N. Kochubei, Zentralblatt f r Mathematik
Author Bio
Vassili N. Kolokoltsov, University of Warwick, UK.