Splitting scheme for backward doubly stochastic differential equations

被引:0
|
作者
Feng Bao
Yanzhao Cao
He Zhang
机构
[1] Florida State University,Department of Mathematics
[2] Auburn University,Department of Mathematics
[3] Jilin University,School of Mathematics
来源
Advances in Computational Mathematics | 2023年 / 49卷
关键词
Backward doubly stochastic differential equations; Splitting up the scheme; Stochastic partial differential equations; Zakai equations; Nonlinear filtering problems; 60H15; 65H35; 65C20; 93E11;
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摘要
A splitting scheme is proposed for a class of backward doubly stochastic differential equations (BDSDEs). The main idea is to decompose the backward doubly stochastic differential equation into a backward stochastic differential equation and a stochastic differential equation, which are much easier to solve than the BDSDE itself. The two equations are then approximated by first-order finite difference schemes, which results in a first-order scheme for the backward doubly stochastic differential equation. Numerical experiments are conducted to illustrate the convergence rate of the proposed scheme.
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