Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35) :Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35) ( London Mathematical Society Monographs )

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

Publication series :London Mathematical Society Monographs

Author: Chen Zhen-Qing;Fukushima Masatoshi  

Publisher: Princeton University Press‎

Publication year: 2011

E-ISBN: 9781400840564

P-ISBN(Paperback): 9780691136059

Subject: O211.62 Markov process

Keyword: 数理科学和化学

Language: ENG

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Description

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 framework of symmetric quasi-regular Dirichlet forms in a unified manner with that of regular Dirichlet forms, emphasizing the role of extended Dirichlet spaces and the rich interplay between the probabilistic and analytic aspects of the theory. Chen and Fukushima then address the latest advances in the theory, presented here for the first time in any book. Topics include the characterization of time-changed Markov processes in terms of Douglas integrals and a systematic account of reflected Dirichlet spaces, and the important roles such advances play in the boundary theory of symmetric Markov processes.

This volume is an ideal resource for researchers and practitioners, and can also serve as a textbook for advanced graduate students. It includes examples, appendixes, and exercises with solutions.

Chapter

2.3 Analytic Potential Theory for Regular Dirichlet Forms

2.4 Local Properties

CHAPTER 3. SYMMETRIC HUNT PROCESSES AND REGULAR DIRICHLET FORMS

3.1 Relations between Probabilistic and Analytic Concepts

3.2 Hitting Distributions and Projections I

3.3 Quasi Properties, Fine Properties, and Part Processes

3.4 Hitting Distributions and Projections II

3.5 Transience, Recurrence, and Path Behavior

CHAPTER 4. ADDITIVE FUNCTIONALS OF SYMMETRIC MARKOV PROCESSES

4.1 Positive Continuous Additive Functionals and Smooth Measures

4.2 Decompositions of Additive Functionals of Finite Energy

4.3 Probabilistic Derivation of Beurling-Deny Formula

CHAPTER 5. TIME CHANGES OF SYMMETRIC MARKOV PROCESSES

5.1 Subprocesses and Perturbed Dirichlet Forms

5.2 Time Changes and Trace Dirichlet Forms

5.3 Examples

5.4 Energy Functionals for Transient Processes

5.5 Trace Dirichlet Forms and Feller Measures

5.6 Characterization of Time-Changed Processes

5.7 Excursions, Exit System, and Feller Measures

5.8 More Examples

CHAPTER 6. REFLECTED DIRICHLET SPACES

6.1 Terminal Random Variables and Harmonic Functions

6.2 Reflected Dirichlet Spaces: Transient Case

6.3 Recurrent Case

6.4 Toward Quasi-Regular Cases

6.5 Examples

6.6 Silverstein Extensions

6.7 Equivalent Notions of Harmonicity

CHAPTER 7. BOUNDARY THEORY FOR SYMMETRIC MARKOV PROCESSES

7.1 Reflected Dirichlet Space for Part Processes

7.2 Douglas Integrals and Reflecting Extensions

7.3 Lateral Condition for L2-Generator

7.4 Countable Boundary

7.5 One-Point Extensions

7.6 Examples of One-Point Extensions

7.7 Many-Point Extensions

7.8 Examples of Many-Point Extensions

APPENDIX A. ESSENTIALS OF MARKOV PROCESSES

A.1 Markov Processes

A.2 Basic Properties of Borel Right Processes

A.3 Additive Functionals of Right Processes

A.4 Review of Symmetric Forms

APPENDIX B. SOLUTIONS TO EXERCISES

Notes

Bibliography

Catalogue of Some Useful Theorems

Index

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

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T

U

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X

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