倒向随机微分方程弱解

The Weak Solution For Backward Stochastic DifferentialEquations

  • 摘要: 引入倒向随机微分方程弱解的概念,应用GIRSANOV变换,建立了两类倒向随机微分方程(0.1)(0.2)弱解存在的等价性,由此得到倒向随机微分方程弱解存在的几个充分条件.

     

    Abstract: In this paper we introduce the notion of weak solution for Backward Stochastic Differential Equation: Y_t=\xi+\int_t^T g\left(s, Y_s, Z_s\right) d s-\int_t^T Z_s d W_s (0.1) By Girsanov transformation, we estabilish the equivalence of existence of weak solutions for equation (0.1) and that of equation: Y_t=\xi+\int_t^T\leftg\left(s, Y_s, Z_s\right)+Z_s \Phi_s\right d s-\int_t^T Z_s d W_s (0.2) The result in 3 is a corollary of this conclusion. We obtain several sufficient conditions for existence of weaksolutions.

     

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