Journal of Applied Mathematics and Stochastic Analysis
Volume 2004 (2004), Issue 4, Pages 317-335
doi:10.1155/S1048953304310038
Abstract
We prove an existence and uniqueness result for backward
stochastic differential equations whose coefficients satisfy a
stochastic monotonicity condition. In this setting, we deal with both
constant and random terminal times. In the random case, the
terminal time is allowed to take infinite values.
But in a Markovian framework, that is coupled with a forward
SDE, our result provides a probabilistic interpretation of
solutions to nonlinear PDEs.