Feynman-Kac Formula for Nonlinear Schrödinger Equations with Applications in Numerical Approximations

Hang Cheung, Jinniao Qiu, Yang Yang

Published 2024-09-25, updated 2024-10-01Version 2

This paper is devoted to a Feynman-Kac formula for general nonlinear time-dependent Schr\"odinger equations with applications in numerical approximations. Our formulation integrates both the Fisk-Stratonovich and It\^o integrals within the framework of backward stochastic differential equations. Utilizing this Feynman-Kac representation, we propose a deep-learning-based approach for numerical approximation. Numerical experiments are performed to validate the accuracy and efficiency of our method, and a convergence analysis is provided to support the results.