Strong Solution of Backward Stochastic Partial Differential Equations in $C^2$ Domains
Probability
2010-06-14 v1 Analysis of PDEs
Abstract
This paper is concerned with the strong solution to the Cauchy-Dirichlet problem for backward stochastic partial differential equations of parabolic type. Existence and uniqueness theorems are obtained, due to an application of the continuation method under fairly weak conditions on variable coefficients and domains. The problem is also considered in weighted Sobolev spaces which allow the derivatives of the solutions to blow up near the boundary. As applications, a comparison theorem is obtained and the semi-linear equation is discussed in the domain.
Cite
@article{arxiv.1006.2185,
title = {Strong Solution of Backward Stochastic Partial Differential Equations in $C^2$ Domains},
author = {Kai Du and Shanjian Tang},
journal= {arXiv preprint arXiv:1006.2185},
year = {2010}
}
Comments
26 pages