arXiv Analytics

Sign in

arXiv:0910.4911 [math.PR]AbstractReferencesReviewsResources

Martingale representations for diffusion processes and backward stochastic differential equations

Zhongmin Qian, ; Jiangang Ying

Published 2009-10-26Version 1

In this paper we explain that the natural filtration of a continuous Hunt process is continuous, and show that martingales over such a filtration are continuous. We further establish a martingale representation theorem for a class of continuous Hunt processes under certain technical conditions. In particular we establish the martingale representation theorem for the martingale parts of (reflecting) symmetric diffusions in a bounded domain with a continuous boundary. Together with an approach put forward in Lyons et al(2009), our martingale representation theorem is then applied to the study of initial and boundary problems for quasi-linear parabolic equations by using solutions to backward stochastic differential equations over the filtered probability space determined by reflecting diffusions in a bounded domain with only continuous boundary.

Related articles: Most relevant | Search more
arXiv:1009.1042 [math.PR] (Published 2010-09-06)
Backward stochastic differential equations under super linear G-expectation and associated Hamilton-Jacobi-Bellman equations
arXiv:math/0508491 [math.PR] (Published 2005-08-25)
A regression-based Monte Carlo method to solve backward stochastic differential equations
arXiv:math/0611864 [math.PR] (Published 2006-11-28, updated 2009-09-23)
Numerical Algorithms for 1-d Backward Stochastic Differential Equations: Convergence and Simulations