Symmetry Analysis of Semi-Linear Partial Differential Equations and Forward Backward Stochastic Differential Equations
Anas Ouknine, Paul Lescot
TL;DR
This work analyzes Lie symmetries of a class of semi-linear PDEs that arise from forward-backward SDEs via a generalized Feynman-Kac representation. It employs Olver's prolongation and projectable time-dependent vector fields to derive symmetry-determining equations for the PDE and defines symmetry for FBSDEs using a time-change framework, linking the stochastic and deterministic sides. Under the assumption that the generator $g$ is independent of $z$, the FBSDE symmetry space is contained in the PDE symmetry algebra, with potential equality in special cases; when $g$ depends on $z$ in general, symmetries may not align, though reductions via transformations can restore z-independence. The heat equation example, along with Girsanov and quadratic-$z$ transformations, demonstrates how PDE and FBSDE symmetries coincide or broaden, and points to future work on jumps and integro-differential PDEs.
Abstract
We examine the Lie symmetries of a semi-linear partial differential equations and their connections to the analogous symmetries of the forward-backward stochastic differential equations (FBSDEs), established through the generalized Feynman-Kac formula.
