Semi-Dirichlet Forms and Markov Processes

Semi-Dirichlet Forms and Markov Processes PDF

Author: Yoichi Oshima

Publisher: Walter de Gruyter

Published: 2013-04-30

Total Pages: 296

ISBN-13: 3110302063

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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.

Dirichlet Forms and Symmetric Markov Processes

Dirichlet Forms and Symmetric Markov Processes PDF

Author: Masatoshi Fukushima

Publisher: Walter de Gruyter

Published: 2011

Total Pages: 501

ISBN-13: 3110218089

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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 revise

Dirichlet Forms and Analysis on Wiener Space

Dirichlet Forms and Analysis on Wiener Space PDF

Author: Nicolas Bouleau

Publisher: Walter de Gruyter

Published: 2010-10-13

Total Pages: 337

ISBN-13: 311085838X

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The subject of this book is analysis on Wiener space by means of Dirichlet forms and Malliavin calculus. There are already several literature on this topic, but this book has some different viewpoints. First the authors review the theory of Dirichlet forms, but they observe only functional analytic, potential theoretical and algebraic properties. They do not mention the relation with Markov processes or stochastic calculus as discussed in usual books (e.g. Fukushima’s book). Even on analytic properties, instead of mentioning the Beuring-Deny formula, they discuss “carré du champ” operators introduced by Meyer and Bakry very carefully. Although they discuss when this “carré du champ” operator exists in general situation, the conditions they gave are rather hard to verify, and so they verify them in the case of Ornstein-Uhlenbeck operator in Wiener space later. (It should be noticed that one can easily show the existence of “carré du champ” operator in this case by using Shigekawa’s H-derivative.) In the part on Malliavin calculus, the authors mainly discuss the absolute continuity of the probability law of Wiener functionals. The Dirichlet form corresponds to the first derivative only, and so it is not easy to consider higher order derivatives in this framework. This is the reason why they discuss only the first step of Malliavin calculus. On the other hand, they succeeded to deal with some delicate problems (the absolute continuity of the probability law of the solution to stochastic differential equations with Lipschitz continuous coefficients, the domain of stochastic integrals (Itô-Ramer-Skorokhod integrals), etc.). This book focuses on the abstract structure of Dirichlet forms and Malliavin calculus rather than their applications. However, the authors give a lot of exercises and references and they may help the reader to study other topics which are not discussed in this book. Zentralblatt Math, Reviewer: S.Kusuoka (Hongo)

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

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

Author: Zhen-Qing Chen

Publisher: Princeton University Press

Published: 2012

Total Pages: 496

ISBN-13: 069113605X

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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.

Some Topics on Dirichlet Forms and Non-symmetric Markov Processes

Some Topics on Dirichlet Forms and Non-symmetric Markov Processes PDF

Author: Jing Zhang

Publisher:

Published: 2016

Total Pages: 115

ISBN-13:

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In this thesis, we discuss three topics on Dirichlet forms and non-symmetric Markov processes. First, we explore the analytic structure of non-symmetric Markov processes. Let U be an open set of Rn, m a positive Radon measure on U, and (Pt)t>0 a strongly continuous contraction sub-Markovian semigroup on L2(U;m). We give an explicit Lev́y-Khintchine type representation of the generator A of (Pt)t>0. If (Pt)t>0 is an analytic semigroup, we give an explicit characterization of the semi-Dirichlet form E associated with (Pt)t>0. Second, we consider the Dirichlet boundary value problem for a general class of second order non-symmetric elliptic operators L with singular coefficients. We show that there exists a unique, bounded continuous solution by using the theory of Dirichlet forms and heat kernel estimates. Also, we give a probabilistic representation of the non-symmetric semigroup generated by L. Finally, we present new results on Hunt's hypothesis (H) for Levy processes. These include a comparison result on Levy processes which implies that big jumps have no effect on the validity of (H), a new necessary and sufficient condition for (H), and an extended Kanda-Forst-Rao theorem.

Dirichlet Forms and Stochastic Processes

Dirichlet Forms and Stochastic Processes PDF

Author: Zhiming Ma

Publisher: Walter de Gruyter

Published: 2011-06-24

Total Pages: 457

ISBN-13: 3110880059

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The series is aimed specifically at publishing peer reviewed reviews and contributions presented at workshops and conferences. Each volume is associated with a particular conference, symposium or workshop. These events cover various topics within pure and applied mathematics and provide up-to-date coverage of new developments, methods and applications.

Pseudo Differential Operators and Markov Processes

Pseudo Differential Operators and Markov Processes PDF

Author: Niels Jacob

Publisher: World Scientific

Published: 2001

Total Pages: 528

ISBN-13: 9781860949746

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After recalling essentials of analysis OCo including functional analysis, convexity, distribution theory and interpolation theory OCo this book handles two topics in detail: Fourier analysis, with emphasis on positivity and also on some function spaces and multiplier theorems; and one-parameter operator semigroups with emphasis on Feller semigroups and Lp-sub-Markovian semigroups. In addition, Dirichlet forms are treated. The book is self-contained and offers new material originated by the author and his students. Sample Chapter(s). Introduction: Pseudo Differential Operators and Markov Processes (207 KB). Chapter 1: Introduction (190 KB). Contents: Essentials from Analysis: Calculus Results; Convexity; Some Interpolation Theory; Fourier Analysis and Convolution Semigroups: The PaleyOCoWienerOCoSchwartz Theorem; Bounded Borel Measures and Positive Definite Functions; Convolution Semigroups and Negative Definite Functions; The L(r)vyOCoKhinchin Formula for Continuous Negative Definite Functions; Bernstein Functions and Subordination of Convolution Semigroups; Fourier Multiplier Theorems; One Parameter Semigroups: Strongly Continuous Operator Semigroups; Subordination in the Sense of Bochner for Operator Semigroups; Generators of Feller Semigroups; Dirichlet Forms and Generators of Sub-Markovian Semigroups; and other papers. Readership: Graduate students, researchers and lecturers in analysis & differential equations, stochastics, probability & statistics, and mathematical physics."

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