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Author: Masatoshi Fukushima
Publisher: Walter de Gruyter
ISBN: 3110218089
Category : Mathematics
Languages : en
Pages : 501
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Book Description
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
Author: Masatoshi Fukushima
Publisher: Walter de Gruyter
ISBN: 3110218089
Category : Mathematics
Languages : en
Pages : 501
Get Book
Book Description
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
Author: Zhen-Qing Chen
Publisher: Princeton University Press
ISBN: 069113605X
Category : Mathematics
Languages : en
Pages : 496
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Book 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.
Author: Zhi-Ming Ma
Publisher: Springer Science & Business Media
ISBN: 3642777392
Category : Mathematics
Languages : en
Pages : 215
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Book Description
The purpose of this book is to give a streamlined introduction to the theory of (not necessarily symmetric) Dirichlet forms on general state spaces. It includes both the analytic and the probabilistic part of the theory up to and including the construction of an associated Markov process. It is based on recent joint work of S. Albeverio and the two authors and on a one-year-course on Dirichlet forms taught by the second named author at the University of Bonn in 1990/9l. It addresses both researchers and graduate students who require a quick but complete introduction to the theory. Prerequisites are a basic course in probabil ity theory (including elementary martingale theory up to the optional sampling theorem) and a sound knowledge of measure theory (as, for example, to be found in Part I of H. Bauer [B 78]). Furthermore, an elementary course on lin ear operators on Banach and Hilbert spaces (but without spectral theory) and a course on Markov processes would be helpful though most of the material needed is included here.
Author: Yoichi Oshima
Publisher: Walter de Gruyter
ISBN: 3110302063
Category : Mathematics
Languages : en
Pages : 296
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Book Description
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.
Author: M.L. Silverstein
Publisher: Springer
ISBN: 354037292X
Category : Mathematics
Languages : en
Pages : 296
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Book Description
Author: Zhiming Ma
Publisher: Walter de Gruyter
ISBN: 3110880059
Category : Mathematics
Languages : en
Pages : 457
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Book Description
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.
Author: Zhi-Ming Ma
Publisher:
ISBN: 9783642777400
Category :
Languages : en
Pages : 224
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Book Description
Author:
Publisher:
ISBN: 9780387070124
Category : Markov processes
Languages : en
Pages : 287
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Book Description
Author: Masatoshi Fukushima
Publisher: Elsevier Science & Technology
ISBN:
Category : Dirichlet forms
Languages : en
Pages : 216
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Book Description
Author: Sergio Albeverio
Publisher: Springer Science & Business Media
ISBN: 3642196594
Category : Mathematics
Languages : en
Pages : 295
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Book Description
This monograph treats the theory of Dirichlet forms from a comprehensive point of view, using "nonstandard analysis." Thus, it is close in spirit to the discrete classical formulation of Dirichlet space theory by Beurling and Deny (1958). The discrete infinitesimal setup makes it possible to study the diffusion and the jump part using essentially the same methods. This setting has the advantage of being independent of special topological properties of the state space and in this sense is a natural one, valid for both finite- and infinite-dimensional spaces. The present monograph provides a thorough treatment of the symmetric as well as the non-symmetric case, surveys the theory of hyperfinite Lévy processes, and summarizes in an epilogue the model-theoretic genericity of hyperfinite stochastic processes theory.
