我们为 decoupled 提交向后建议新数字计划随机的微分方程(FBSDE ) 与跳,在随机的动力学被一个 ddimensional Brownian 运动和独立补偿泊松随机驾驶的地方,测量。一个半分离的计划为分离时间近似被开发,它被一个经典计划为前面的 SDE 组成
We propose new numerical schemes for decoupled forward-backward stochastic differ- ential equations (FBSDEs) with jumps, where the stochastic dynamics are driven by a d- dimensional Brownian motion and an independent compensated Poisson random measure. A semi-discrete scheme is developed for discrete time approximation, which is constituted by a classic scheme for the forward SDE [20, 28] and a novel scheme for the backward SDE. Under some reasonable regularity conditions, we prove that the semi-discrete scheme can achieve second-order convergence in approximating the FBSDEs of interest; and such convergence rate does not require jump-adapted temporal discretization. Next, to add in spatial discretization, a fully discrete scheme is developed by designing accurate quadrature rules for estimating the involved conditional mathematical expectations. Several numerical examples are given to illustrate the effectiveness and the high accuracy of the proposed schemes.