Large Deviations for a Class of Anticipating Stochastic Differential Equations
Millet, A. ; Nualart, D. ; Sanz, M.
Ann. Probab., Tome 20 (1992) no. 4, p. 1902-1931 / Harvested from Project Euclid
Consider the family of perturbed stochastic differential equations on $\mathbb{R}^d$, $X^\varepsilon_t = X^\varepsilon_0 + \sqrt{\varepsilon} \int^t_0\sigma(X^\varepsilon_s)\circ dW_s + \int^t_0 b(X^\varepsilon_s) ds,$ $\varepsilon > 0$, defined on the canonical space associated with the standard $k$-dimensional Wiener process $W$. We assume that $\{X^\varepsilon_0, \varepsilon > 0\}$ is a family of random vectors not necessarily adapted and that the stochastic integral is a generalized Stratonovich integral. In this paper we prove large deviations estimates for the laws of $\{X^\varepsilon_., \varepsilon > 0\}$, under some hypotheses on the family of initial conditions $\{X^\varepsilon_0, \varepsilon > 0\}$.
Publié le : 1992-10-14
Classification:  Large deviations,  anticipating stochastic differential equations,  stochastic flows,  60H10,  60F10
@article{1176989535,
     author = {Millet, A. and Nualart, D. and Sanz, M.},
     title = {Large Deviations for a Class of Anticipating Stochastic Differential Equations},
     journal = {Ann. Probab.},
     volume = {20},
     number = {4},
     year = {1992},
     pages = { 1902-1931},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176989535}
}
Millet, A.; Nualart, D.; Sanz, M. Large Deviations for a Class of Anticipating Stochastic Differential Equations. Ann. Probab., Tome 20 (1992) no. 4, pp.  1902-1931. http://gdmltest.u-ga.fr/item/1176989535/