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Markov Processes, Brownian Motion, and Time Symmetry

  • Textbook
  • © 2005

Overview

  • Contains 200 pages of new material on markov chains, ray processes, and time symmetry

Part of the book series: Grundlehren der mathematischen Wissenschaften (GL, volume 249)

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Table of contents (15 chapters)

Keywords

About this book

From the reviews of the First Edition:

"This excellent book is based on several sets of lecture notes written over a decade and has its origin in a one-semester course given by the author at the ETH, Zürich, in the spring of 1970. The author's aim was to present some of the best features of Markov processes and, in particular, of Brownian motion with a minimum of prerequisites and technicalities. The reader who becomes acquainted with the volume cannot but agree with the reviewer that the author was very successful in accomplishing this goal…The volume is very useful for people who wish to learn Markov processes but it seems to the reviewer that it is also of great interest to specialists in this area who could derive much stimulus from it. One can be convinced that it will receive wide circulation." (Mathematical Reviews)

This new edition contains 9 new chapters which include new exercises, references, and multiple corrections throughout the original text.

Reviews

From the reviews of the First Edition:

This excellent book is based on several sets of lecture notes written over a decade and has its origin in a one-semester course given by the author at the ETH, Zürich, in the spring of 1970. The author's aim was to present some of the best features of Markov processes and, in particular, of Brownian motion with a minimum of prerequisites and technicalities. The reader who becomes acquainted with the volume cannot but agree with the reviewer that the author was very successful in accomplishing this goal…The volume is very useful for people who wish to learn Markov processes but it seems to the reviewer that it is also of great interest to specialists in this area who could derive much stimulus from it. One can be convinced that it will receive wide circulation.

H.J. Engelbert, MathSciNet

From the reviews of the second edition:

"This monograph is a considerably extended second edition of K.L. Chung’s classic ‘Lectures from Markov processes to Brownian motion’ … . Adding to Chung’s masterpiece is a formidable task; the new chapters by Walsh capture the spirit of the original and give a gentle, inspiring and eminently useful introduction to Ray processes, time reversal and duality." (René L. Schilling, Zentralblatt MATH, Vol. 1082, 2006)

"The volume under review is the union of two distinct, albeit complementary, works. … there are a number of interesting examples in the more familiar world of Markov chains which the reader can use to gain insight into the new ideas. … If I were asked to recommend a book to beginners who wished to immerse themselves in the subject and emerge in a fit state to tackle the contemporary literature, then I would choose this volume without hesitation." (David Applebaum, The Mathematical Gazette, Vol. 92 (523), 2008)

Authors and Affiliations

  • Department of Mathematics, Stanford University, Stanford, USA

    Kai Lai Chung

  • Mathematics Department, University of British Columbia, Vancouver, Canada

    John B. Walsh

Bibliographic Information

  • Book Title: Markov Processes, Brownian Motion, and Time Symmetry

  • Authors: Kai Lai Chung, John B. Walsh

  • Series Title: Grundlehren der mathematischen Wissenschaften

  • DOI: https://doi.org/10.1007/0-387-28696-9

  • Publisher: Springer New York, NY

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2005

  • Hardcover ISBN: 978-0-387-22026-0Published: 15 July 2005

  • Softcover ISBN: 978-1-4419-1960-1Published: 19 November 2010

  • eBook ISBN: 978-0-387-28696-9Published: 18 January 2006

  • Series ISSN: 0072-7830

  • Series E-ISSN: 2196-9701

  • Edition Number: 2

  • Number of Pages: XII, 432

  • Number of Illustrations: 5 b/w illustrations

  • Topics: Probability Theory and Stochastic Processes

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