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Semi-Dirichlet Forms and Markov Processes

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The series de Gruyter Studies in Mathematics was founded in 1982 by the late Professor Heinz Bauer and Professor Peter Gabriel.  The series publishes monographs and textbooks in mathematics and it...
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  • 17 April 2013
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This book deals with analytic treatments of Markov processes. Symmetric Dirichlet forms and their associated Markov processes are important and powerful tools in the theory of Markov processes and their applications. The theory is well studied and used in various fields. In this monograph, we intend to generalize the theory to non-symmetric and time dependent semi-Dirichlet forms. By this generalization, we can cover the wide class of Markov processes and analytic theory which do not possess the dual Markov processes. In particular, under the semi-Dirichlet form setting, the stochastic calculus is not well established yet. In this monograph, we intend to give an introduction to such calculus. Furthermore, basic examples different from the symmetric cases are given. The text is written for graduate students, but also researchers.

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Price: $196.99
Pages: 294
Publisher: De Gruyter
Imprint: De Gruyter
Publication Date: 17 April 2013
ISBN: 9783110302004
Format: Hardcover
BISACs: MAT003000 MATHEMATICS / Applied, MAT007000 MATHEMATICS / Differential Equations / General, MAT029010 MATHEMATICS / Probability & Statistics / Bayesian Analysis, MAT029020 MATHEMATICS / Probability & Statistics / Multivariate Analysis, MAT029030 MATHEMATICS / Probability & Statistics / Regression Analysis, MAT033000 MATHEMATICS / Vector Analysis, MAT034000 MATHEMATICS / Mathematical Analysis, MAT037000 MATHEMATICS / Functional Analysis
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Y. Oshima, Kumamoto University.



Y. Oshima, Kumamoto University, Japan.

Chapter 1 Dirichlet forms
1.1 Semi-Dirichlet forms and resolvents
1.2 Closability and regular Dirichlet forms
1.3 Transience and recurrence of Dirichlet forms
1.4 An auxiliary bilinear forms
1.5 Examples

Chapter 2 Some analytic properties of Dirichlet forms
2.1 Capacity
2.2 Qasi-continuity
2.3 Potential of measures
2.4 An orthogonal decomposition of Dirichlet forms

Chapter 3 Markov processes
3.1 Hunt processes
3.2 Excessive functions and negligible sets
3.3 Hunt processes associated with Dirichlet forms
3.4 Negligible sets of Hunt processes
3.5 Decomposition of Dirichlet forms

Chapter 4 Additive functionals and smooth measures
4.1 Positive continuous additive functionals
4.2 Dual PCAFs and duality measures
4.3 Time changes and killings by PCAFs

Chapter 5 Martingale AFs and AFs of zero energy
5.1 Decomposition of AFs
5.2 Beurling-Deny type decompositions
5.3 CAFs of zero energy
5.4 Martingale AFs of local Dirichlet forms
5.5 Transformations by multiplicative functionals
5.6 Conservativeness and recurrence of Dirichlet forms

Chapter 6 Time dependent Dirichlet forms
6.1 Time dependent Dirichlet forms and associated resolvents
6.2 Some parabolic potential theory
6.3 Associated space-time processes
6.4 Additive functionals and associated measures
6.5 Some stochastic calculus