Penalization method for a nonlinear Neumann PDE via weak solutions of reflected SDEs

Khaled Bahlali (Université de Toulon (IMATH) and Aix-Marseille Université (CNRS, LATP))
Lucian Maticiuc ("Alexandru Ioan Cuza" University of Iasi and “Gheorghe Asachi” Technical University)
Adrian Zalinescu ("Alexandru Ioan Cuza" University of Iasi and “Octav Mayer” Mathematics Institute of the Romanian Academy)

Abstract


In this paper we prove an approximation result for the viscosity solution of a system of semi-linear partial differential equations with continuous coefficients and nonlinear Neumann boundary condition. The approximation we use is based on a penalization method and our approach is probabilistic. We prove the weak uniqueness of the solution for the reflected stochastic differential equation and we approximate it (in law) by a sequence of solutions of stochastic differential equations with penalized terms. Using then a suitable generalized backward stochastic differential equation and the uniqueness of the reflected stochastic differential equation, we prove the existence of a continuous function, given by a probabilistic representation, which is a viscosity solution of the considered partial differential equation. In addition, this solution is approximated by the penalized partial differential equation.

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Pages: 1-19

Publication Date: November 27, 2013

DOI: 10.1214/EJP.v18-2467

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