Good rough path sequences and applications to anticipating stochastic calculus
Coutin, Laure ; Friz, Peter ; Victoir, Nicolas
Ann. Probab., Tome 35 (2007) no. 1, p. 1172-1193 / Harvested from Project Euclid
We consider anticipative Stratonovich stochastic differential equations driven by some stochastic process lifted to a rough path. Neither adaptedness of initial point and vector fields nor commuting conditions between vector field is assumed. Under a simple condition on the stochastic process, we show that the unique solution of the above SDE understood in the rough path sense is actually a Stratonovich solution. We then show that this condition is satisfied by the Brownian motion. As application, we obtain rather flexible results such as support theorems, large deviation principles and Wong–Zakai approximations for SDEs driven by Brownian motion along anticipating vectorfields. In particular, this unifies many results on anticipative SDEs.
Publié le : 2007-05-14
Classification:  Anticipating stochastic calculus,  rough paths,  60H99
@article{1178804326,
     author = {Coutin, Laure and Friz, Peter and Victoir, Nicolas},
     title = {Good rough path sequences and applications to anticipating stochastic calculus},
     journal = {Ann. Probab.},
     volume = {35},
     number = {1},
     year = {2007},
     pages = { 1172-1193},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1178804326}
}
Coutin, Laure; Friz, Peter; Victoir, Nicolas. Good rough path sequences and applications to anticipating stochastic calculus. Ann. Probab., Tome 35 (2007) no. 1, pp.  1172-1193. http://gdmltest.u-ga.fr/item/1178804326/