We propose a time-space discretization scheme for quasi-linear parabolic PDEs. The algorithm relies on the theory of fully coupled forward–backward SDEs, which provides an efficient probabilistic representation of this type of equation. The derivated algorithm holds for strong solutions defined on any interval of arbitrary length. As a bypass product, we obtain a discretization procedure for the underlying FBSDE. In particular, our work provides an alternative to the method described in [Douglas, Ma and Protter (1996) Ann. Appl. Probab. 6 940–968] and weakens the regularity assumptions required in this reference.
@article{1141654284,
author = {Delarue, Fran\c cois and Menozzi, St\'ephane},
title = {A forward--backward stochastic algorithm for quasi-linear PDEs},
journal = {Ann. Appl. Probab.},
volume = {16},
number = {1},
year = {2006},
pages = { 140-184},
language = {en},
url = {http://dml.mathdoc.fr/item/1141654284}
}
Delarue, François; Menozzi, Stéphane. A forward–backward stochastic algorithm for quasi-linear PDEs. Ann. Appl. Probab., Tome 16 (2006) no. 1, pp. 140-184. http://gdmltest.u-ga.fr/item/1141654284/