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Dirichlet Forms and Stochastic Analysis

Dirichlet Forms and Stochastic Analysis
狄利克雷形式和随机分析
批准号:
311945-2013
负责人:
Sun, Wei
金额:
$1.09万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
The theory of Dirichlet forms is one of the most active areas of modern probability theory and stochastic processes. It establishes a bridge between analysis and probability, and the benefits flow in both directions. This proposed research program is devoted to performing theoretical research in Dirichlet forms and related stochastic analysis. First, we will further develop the theory of Dirichlet forms. We will investigate the relationship between Hunt's hypothesis (H) and the sector condition of non-symmetric Dirichlet forms. In particular, we will concentrate on Getoor's conjecture for general Levy processes and the recent conjecture that a right (strong Markov) process satisfies Hunt's hypothesis (H) if and only if it is locally associated with a sectorial Dirichlet form. We expect to extend the existing framework of non-symmetric Dirichlet forms and largely broaden the applications of the theory of Dirichlet forms. We will study the stochastic calculus of Markov processes associated with non-symmetric (semi)-Dirichlet forms. Moreover, we will apply the related results to the study of multiplicative functionals of non-symmetric Markov processes, Dirichlet and mixed boundary-valued problems with singular coefficients, LDP and L^p independence of non-symmetric Markov processes, etc. Second, we will apply the theory of Dirichlet forms to several important problems of stochastic analysis. a) We will use Dirichlet forms as a tool to consider the construction of general two-parameter Fleming-Viot processes. We expect to completely solve this important open problem in the area of mathematical population genetics. b) We will apply the theory of Dirichlet forms to nonlinear filtering of singular/infinite-dimensional signals and study various numerical approximations to solutions of the filtering equations. The algorithms developed in this work have the potential to be applied to Canadian industry and military. c) We will use Dirichlet forms to systematically study backward stochastic differential equations with singular coefficients. The obtained results can be applied to some problems of mathematical finance.
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Dirichlet Forms and Stochastic Analysis
  • 批准号:
    RGPIN-2018-04394
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2022
  • 负责人:
    Sun, Wei
  • 依托单位:
Dirichlet Forms and Stochastic Analysis
  • 批准号:
    RGPIN-2018-04394
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2021
  • 负责人:
    Sun, Wei
  • 依托单位:
Dirichlet Forms and Stochastic Analysis
  • 批准号:
    RGPIN-2018-04394
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2020
  • 负责人:
    Sun, Wei
  • 依托单位:
Dirichlet Forms and Stochastic Analysis
  • 批准号:
    RGPIN-2018-04394
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.46万
  • 财政年份:
    2019
  • 负责人:
    Sun, Wei
  • 依托单位:
海外基金