Continuous Time Markov Processes: An Introduction (Graduate Studies in Mathematics)

Thomas M. Liggett, Steven G. Krantz

ISBN 10: 1470481723 / ISBN 13: 9781470481728

Published by American Mathematical Society, 2010

About this Item

Seller Inventory # LU-9781470481728

Bibliographic Details

• Title: Continuous Time Markov Processes: An Introduction (Graduate Studies in Mathematics)
• Publisher: American Mathematical Society
• Publication Date: 2010
• Language: English
• ISBN 10: 1470481723
• ISBN 13: 9781470481728
• Binding: Paperback
• Condition: New
• Dimensions: 25.4W x 17.78H x 1.42D centimeters 25.4 centimeters width by 17.78 centimeters height by 1.42 centimeters depth
• Weight: 518 grams

About this title

Synopsis

Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes and applies this theory to various special examples. The initial chapter is devoted to the most important classical example—one-dimensional Brownian motion. This, together with a chapter on continuous time Markov chains, provides the motivation for the general setup based on semigroups and generators. Chapters on stochastic calculus and probabilistic potential theory give an introduction to some of the key areas of application of Brownian motion and its relatives. A chapter on interacting particle systems treats a more recently developed class of Markov processes that have as their origin problems in physics and biology. This is a textbook for a graduate course that can follow one that covers basic probabilistic limit theorems and discrete time processes.