English

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

R2 v1 2026-06-21T16:43:34.712Z