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G-期望框架下的几类随机微分方程的研究

摘要第7-9页
Abstract第9-10页
Chapter 1 Introduction第11-25页
    1.1 Backgrounds第11-19页
    1.2 Preliminaries第19-25页
Chapter 2 Reflected backward stochastic differential equations driven byG-Brownian motion第25-52页
    2.1 Introduction and Preliminaries第25-27页
    2.2 Reflected backward stochastic differential equations driven by G-Brownianmotion第27-44页
        2.2.1 Some priori estimates and the uniqueness result第28-36页
        2.2.2 Existence of the solution第36-42页
        2.2.3 Comparison theorem第42-44页
    2.3 Reflected backward stochastic differential equations driven by G-Brownianmotion with continuous coefficients第44-52页
Chapter 3 Forward-backward stochastic differential equations driven byG-Brownian motion第52-76页
    3.1 Fully coupled forward-backward stochastic differential equations drivenby G-Brownian motion第52-61页
    3.2 Reflected forward-backward stochastic differential equations driven byG-Brownian motion with continuous monotone coefficients第61-76页
Chapter 4 Neutral stochastic partial functional integro-differential equa-tions driven by G-Brownian motion第76-88页
    4.1 Existence and uniqueness of the solution第78-83页
    4.2 Stability of the solution第83-85页
    4.3 An application第85-88页
Chapter 5 Stochastic differential equations driven by G-Levy Process第88-117页
    5.1 Preliminaries第88-98页
    5.2 Stochastic differential equation driven by G-Levy Process第98-110页
        5.2.1 Exponential stability of the solution第103-108页
        5.2.2 An example第108-110页
    5.3 Existence of solution for stochastic differential equations driven by G-Levy process with discontinuous coefficients第110-117页
Bibliography第117-125页
Publications and Finished Papers第125-126页
Acknowledgements第126页

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