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The Mean Field Forward Backward Stochastic Differential Equations and Stochastic Partial Differential Equations

机译:平均场正向后向随机微分方程和随机偏微分方程

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Since 1990 Pardoux and Peng, proposed the theory of backward stochastic differential equation Backward stochastic differential equation and is backward stochastic differential equations (short for FBSDE) theory has been widely research (see El Karoui, Peng and Cauenez, Ma and Yong, etc.) Generally, a backward stochastic differential equation is a type Ito stochastic differential equation and a coupling Pardoux - Peng and backward stochastic differential equation. Antonelli, Ma, Protter and Yong is backward stochastic differential equation for a series of research, and apply to the financial. One of the research direction is put forward by Hu and Peng first. Peng and Wu Peng and Shi made a further research, and Yong to a more detailed discussion of this method, by introducing the concept of the bridge, systematically studied the FBSDE continuity method. Because such a system can be applied to random Feynman - Kac of partial differential equations of research, And a double optimal control problem of stochastic control systems, we will be working in Peng and Shi further in-depth study on the basis of this category are backward stochastic differential equation. In this paper, we are considering various constraint conditions with backward stochastic differential equation.
机译:自1990年以来,Pardoux和Peng提出了倒向随机微分方程理论和倒向随机微分方程(FBSDE的简称)理论得到了广泛的研究(参见El Karoui,Peng和Cauenez,Ma和Yong等)。通常,后向随机微分方程是Ito型随机微分方程以及耦合的Pardoux-Peng和后向随机微分方程。 Antonelli,Ma,Protter和Yong对反向随机微分方程进行了一系列研究,并应用于金融领域。胡和彭首先提出了研究方向之一。 Peng和Wu Peng和Shi进行了进一步的研究,Yong对这种方法进行了更详细的讨论,通过介绍桥梁的概念,系统地研究了FBSDE连续性方法。由于这样的系统可以应用于偏微分方程的随机Feynman-Kac的研究,并且具有随机控制系统的双重最优控制问题,因此我们将在Peng和Shi的基础上进一步深入研究这一类别。后向随机微分方程。在本文中,我们正在考虑带有后向随机微分方程的各种约束条件。

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