//\rm d}X^ε(t)=\sqrt{ε}σ(X^ε(t),Z(t))\rm d}W_t+b(X^ε(t),Y(t))\rm d}t,//
whose coefficients depend on processes Z(t)= {Z(t),t∈[0,1]} and Y(t)={Y(t),t∈[0,1]}. Using an extended `contraction principle', we give the large-deviation principle (LDP) of Xε as ε→0. This extends the LDP for a random evolution equation, proved by Yi-Jun Hu, to the case of random diffusion coefficients.
@article{1081194155, author = {Mellouk, Mohamed}, title = {A large-deviation principle for random evolution equations}, journal = {Bernoulli}, volume = {6}, number = {6}, year = {2000}, pages = { 977-999}, language = {en}, url = {http://dml.mathdoc.fr/item/1081194155} }
Mellouk, Mohamed. A large-deviation principle for random evolution equations. Bernoulli, Tome 6 (2000) no. 6, pp. 977-999. http://gdmltest.u-ga.fr/item/1081194155/