Dirichlet Forms and Symmetric Markov Processes / / Masatoshi Fukushima, Yoichi Oshima, Masayoshi Takeda.

This book contains an introductory and comprehensive account of the theory of (symmetric) Dirichlet forms. Moreover this analytic theory is unified with the probabilistic potential theory based on symmetric Markov processes and developed further in conjunction with the stochastic analysis based on a...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Studies in Mathematics eBook-Package
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2010]
©2010
Year of Publication:2010
Edition:2nd rev. and ext. ed.
Language:English
Series:De Gruyter Studies in Mathematics , 19
Online Access:
Physical Description:1 online resource (489 p.)
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Table of Contents:
  • Frontmatter
  • Preface to the first and second edition
  • Preface to the second edition
  • Contents
  • Notation
  • Part I: Dirichlet Forms
  • Chapter 1: Basic theory of Dirichlet forms
  • Chapter 2: Potential theory for Dirichlet forms
  • Chapter 3: The scope of Dirichlet forms
  • Part II: Symmetric Markov processes
  • Chapter 4: Analysis by symmetric Hunt processes
  • Chapter 5: Stochastic analysis by additive functionals
  • Chapter 6: Transformations of forms and processes
  • Chapter 7: Construction of symmetric Markov processes
  • Appendix
  • Notes
  • Bibliography
  • Index