Admitted symmetries of Backward Stochastic Differential Equations
Anas Ouknine, Paul Lescot

TL;DR
This paper introduces the concept of admitted Lie groups of transformations for BSDEs and FBSDEs, providing a new symmetry-based framework for analyzing these stochastic equations.
Contribution
It extends the symmetry analysis to backward stochastic differential equations, offering a novel approach following Meleshko et al.'s methodology.
Findings
Defined admitted Lie groups for BSDEs and FBSDEs
Applied the symmetry framework to a specific BSDE example
Provides a foundation for symmetry-based solution methods
Abstract
In this article, we introduce the concept of admitted Lie group of transformations for both backward stochastic differential equations (BSDEs) and forward backward stochastic differential equations (FBSDEs), following the approach of Meleshko et al. An application to BSDE is presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
