Time discretization and Markovian iteration for coupled FBSDES

被引:68
作者
Bender, Christian [1 ]
Zhang, Jianfeng [2 ]
机构
[1] Tech Univ Carolo Wilhelmina Braunschweig, Inst Math Stochast, D-38106 Braunschweig, Germany
[2] Univ So Calif, Dept Math, Los Angeles, CA 90089 USA
关键词
forward-backward SDE; numerics; time discretization; Monte Carlo simulation;
D O I
10.1214/07-AAP448
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper we lay the foundation for a numerical algorithm to simulate high-dimensional coupled FBSDEs under weak coupling or monotonicity conditions. In particular, we prove convergence of a time discretization and a Markovian iteration. The iteration differs from standard Picard iterations for FBSDEs in that the dimension of the underlying Markovian process does not increase with the number of iterations. This feature seems to be indispensable for an efficient iterative scheme from a numerical point of view. We finally suggest a fully explicit numerical algorithm and present some numerical examples with up to 10-dimensional state space.
引用
收藏
页码:143 / 177
页数:35
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