带跳倒向随机微分方程最小g-上解

The Smallest g-Supersolution for BSDE with Jumps

  • 摘要: 对带跳和一个右连左极的增过程作为惩罚项的倒向随机微分方程定义g\,-上解, 并得到极限定理, 作为其应用, 在变量(y,z,q)受限条件下, 讨论该方程的最小g\,-上解存在唯一性.

     

    Abstract: For Backward Stochastic Differential Equation with jumps and an increasing predictable RCLL process as its penalization term, we have defined g-supersolution for such a BSDE and obtained the limit theorem. As an application of the limit theorem, the existence and uniqueness of the smallest supersolution for BSDE with jumps and constraints on (Y,Z,q) is proved.

     

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