Special Session 29: Stochastic Dynamical Systems

A new branching diffusion solver for reaction-diffusion equations
Qiao Huang
Southeast University
Peoples Rep of China
Co-Author(s):    Nicolas Privault
Abstract:
Stochastic branching algorithms provide a useful alternative to grid-based schemes for the numerical solution of partial differential equations, particularly in high-dimensional settings. However, they require a strict control of the integrability of random functionals of branching processes in order to ensure the non-explosion of solutions. In this paper, we study the stability of a functional branching representation of PDE solutions by deriving sufficient criteria for the integrability of the multiplicative weighted progeny of stochastic branching processes. We also prove the uniqueness of mild solutions under uniform integrability assumptions on random functionals. This talk is based on joint work with N. Privault.