Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35), 9780691136059
Hardcover
Gives an introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. This title covers the essential elements and applications of the theory of symmetric Markov processes, including recurrence/transience criteria, probabilistic potential theory, additive fun…

Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)

$450.10

  • Hardcover

    512 pages

  • Release Date

    29 January 2012

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Summary

This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a detailed and accessible manner, Zhen-Qing Chen and Masatoshi Fukushima cover the essential elements and applications of the theory of symmetric Markov processes, including recurrence/transience criteria, probabilistic potential theory, additive functional theory, and time change theory. The authors develop the theory in a general fram…

Book Details

ISBN-13:9780691136059
ISBN-10:069113605X
Series:London Mathematical Society Monographs
Author:Masatoshi Fukushima, Zhenqing Chen
Publisher:Princeton University Press
Imprint:Princeton University Press
Format:Hardcover
Number of Pages:512
Release Date:29 January 2012
Weight:482g
Dimensions:235mm x 152mm
What They're Saying

Critics Review

“This book is an extremely valuable contribution to the literature on symmetric Markov processes and Dirichlet forms and will certainly become a classic reference in the field.”–Zoran Vondracek, Mathematical Reviews “This monograph is written very carefully. In summary, it is an ideal resource for researchers and very advanced graduate students in the field of Dirichlet forms and Hunt processes.”–Michael Voit, Zentralblatt MATH

About The Author

Masatoshi Fukushima

Zhen-Qing Chen is professor of mathematics at the University of Washington. Masatoshi Fukushima is professor emeritus at Osaka University in Japan. His books include Dirichlet Forms and Symmetric Markov Processes.

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