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Semi-Dirichlet Forms and Markov Processes

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Title: Semi-Dirichlet Forms and Markov Processes
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.
Authors: Yoichi Oshima
Resource Type: eBook.
Subjects: Dirichlet forms, Markov processes
Categories: MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, MATHEMATICS / Differential Equations / General, MATHEMATICS / Probability & Statistics / Bayesian Analysis, MATHEMATICS / Probability & Statistics / Multivariate Analysis, MATHEMATICS / Probability & Statistics / Regression Analysis, MATHEMATICS / Vector Analysis, MATHEMATICS / Mathematical Analysis, MATHEMATICS / Functional Analysis
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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DbLabel: eBook Collection (EBSCOhost)
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PubType: eBook
PubTypeId: ebook
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  Data: Semi-Dirichlet Forms and Markov Processes
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  Data: 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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  Data: <searchLink fieldCode="DE" term="%22Dirichlet+forms%22">Dirichlet forms</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 519.233
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Dirichlet forms
        Type: general
      – SubjectFull: Markov processes
        Type: general
    Titles:
      – TitleFull: Semi-Dirichlet Forms and Markov Processes
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Yoichi Oshima
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          Name:
            NameFull: Yoichi Oshima
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9783110302004
            – Type: isbn-electronic
              Value: 9783110302066
          Titles:
            – TitleFull: Semi-Dirichlet Forms and Markov Processes
              Type: main
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