Symmetric Dirichlet forms andtheir associated Markov processes are important and powerful toolsin the theory of Markovprocesses and their applications. In this monograph, wegeneralize the theory to non-symmetric and time dependent semi-Dirichlet forms. Thus, we can cover the wide class of Markov pro
Semi-Dirichlet Forms and Markov Processes
✍ Scribed by Yoichi Oshima
- Publisher
- De Gruyter
- Year
- 2013
- Tongue
- English
- Leaves
- 296
- Series
- De Gruyter Studies in Mathematics; 48
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
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.
✦ Table of Contents
Preface
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 form
1.5 Examples
1.5.1 Diffusion case
1.5.2 Jump type case
2 Some analytic properties of Dirichlet forms
2.1 Capacity
2.2 Quasi-Continuity
2.3 Potential of measures
2.4 An orthogonal decomposition of the Dirichlet forms
3 Markov processes
3.1 Hunt processes
3.2 Excessive functions and negligible sets
3.3 Hunt processes associated with a regular Dirichlet form
3.4 Negligible sets for Hunt processes
3.5 Decompositions of Dirichlet forms
4 Additive functionals and smooth measures
4.1 Positive continuous additive functionals
4.2 Dual PCAFs and duality relations
4.3 Time changes and killings
5 Martingale AFs and AFs of zero energy
5.1 Fukushima’s decomposition of AFs
5.1.1 AFs generated by functions of ℱ
5.1.2 Martingale additive functionals of finite energy
5.1.3 CAFs of zero energy
5.2 Beurling-Deny type decomposition
5.3 CAFs of locally zero energy in the weak sense
5.4 Martingale AFs of strongly local Dirichlet forms
5.5 Transformations by multiplicative functionals
5.6 Conservativeness and recurrence of Dirichlet forms
6 Time dependent Dirichlet forms
6.1 Time dependent Dirichlet forms and associated resolvents
6.2 A parabolic potential theory
6.3 Associated space-time processes
6.4 Additive functionals and associated measures
6.5 Some stochastic calculus
Notes
Bibliography
Index
📜 SIMILAR VOLUMES
This book is an attempt to unify these two theories. By unification the theory of Markov process bears an intrinsic analytical tool of great use, while the theory of Dirichlet spaces acquires a deep probabilistic structure.
Since the publication of the first edition in 1994, this book has attracted constant interests from readers and is by now regarded as a standard reference for the theory of Dirichlet forms. For the present second edition, the authors not only revised the existing text, but also added some new sectio