On Girsanov's transform for backward stochastic differential equations
Probability
2010-11-16 v1
Abstract
By using a simple observation that the density processes appearing in Ito's martingale representation theorem are invariant under the change of measures, we establish a non-linear version of the Cameron-Martin formula for solutions of a class of systems of quasi-linear parabolic equations with non-linear terms of quadratic growth. We also construct a local stochastic flow and establish a Bismut type formula for such system of quasi-linear PDEs. Gradient estimates are obtained in terms of the probability representation of the solution. Another interesting aspect indicated in the paper is the connection between the non-linear Cameron-Martin formula and a class of forward-backward stochastic differential equations(FBSDEs).
Keywords
Cite
@article{arxiv.1011.3228,
title = {On Girsanov's transform for backward stochastic differential equations},
author = {G. Liang and A. Lionnet and Z. Qian},
journal= {arXiv preprint arXiv:1011.3228},
year = {2010}
}
Comments
21 pages