Convergence Error Estimates of the Crank-Nicolson Scheme for Solving Decoupled FBSDEs
Yang Li, Jie Yang, Weidong Zhao

TL;DR
This paper provides a rigorous second-order convergence analysis of the Crank-Nicolson scheme for decoupled FBSDEs, filling a gap in the theoretical understanding of its accuracy.
Contribution
The authors theoretically prove that the Crank-Nicolson scheme achieves second-order strong convergence for decoupled FBSDEs, using advanced stochastic calculus techniques.
Findings
Proved second-order strong convergence of the C-N scheme.
Filled a theoretical gap in the analysis of the C-N scheme.
Established rigorous error estimates for the scheme.
Abstract
The Crank-Nicolson (short for C-N) scheme for solving {\it backward stochastic differential equation} (BSDE), driven by Brownian motions, was first developed by the authors W. Zhao, L. Chen and S. Peng [SIAM J. Sci. Comput., 28 (2006), 1563--1581], and numerical experiments showed that the accuracy of this C-N scheme was of second order for solving BSDE. This C-N scheme was extended to solve decoupled {\it forward-backward stochastic differential equations} (FBSDEs) by W. Zhao, Y. Li and Y. Fu [Sci. China. Math., 57 (2014), 665--686], and it was numerically shown that the accuracy of the extended C-N scheme was also of second order. To our best knowledge, among all one-step (two-time level) numerical schemes with second-order accuracy for solving BSDE or FBSDEs, such as the ones in the above two papers and the one developed by the authors D. Crisan and K. Manolarakis [Ann. Appl.…
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