[Un principe de grandes déviations pour une équation différentielle stochastique rétrograde associée à un opérateur sous-différentiel]
Dans cette Note, nous montrons que la solution d'une équation différentielle stochastique rétrograde progressive associée à un opérateur sous-différentiel converge vers la solution d'une équation différentielle rétrograde progressive déterministe et satisfait un principe de grandes déviations.
In this note, we prove that the solution of a backward stochastic differential equation, which involves a subdifferential operator and associated to a family of reflecting diffusion processes, converges to the solution of a deterministic backward equation and satisfies a large deviation principle.
Accepté le :
Publié le :
@article{CRMATH_2008__346_1-2_75_0, author = {Essaky, El Hassan}, title = {Large deviation principle for a backward stochastic differential equation with subdifferential operator}, journal = {Comptes Rendus. Math\'ematique}, pages = {75--78}, publisher = {Elsevier}, volume = {346}, number = {1-2}, year = {2008}, doi = {10.1016/j.crma.2007.10.044}, language = {en}, url = {http://www.numdam.org/articles/10.1016/j.crma.2007.10.044/} }
TY - JOUR AU - Essaky, El Hassan TI - Large deviation principle for a backward stochastic differential equation with subdifferential operator JO - Comptes Rendus. Mathématique PY - 2008 SP - 75 EP - 78 VL - 346 IS - 1-2 PB - Elsevier UR - http://www.numdam.org/articles/10.1016/j.crma.2007.10.044/ DO - 10.1016/j.crma.2007.10.044 LA - en ID - CRMATH_2008__346_1-2_75_0 ER -
%0 Journal Article %A Essaky, El Hassan %T Large deviation principle for a backward stochastic differential equation with subdifferential operator %J Comptes Rendus. Mathématique %D 2008 %P 75-78 %V 346 %N 1-2 %I Elsevier %U http://www.numdam.org/articles/10.1016/j.crma.2007.10.044/ %R 10.1016/j.crma.2007.10.044 %G en %F CRMATH_2008__346_1-2_75_0
Essaky, El Hassan. Large deviation principle for a backward stochastic differential equation with subdifferential operator. Comptes Rendus. Mathématique, Tome 346 (2008) no. 1-2, pp. 75-78. doi : 10.1016/j.crma.2007.10.044. http://www.numdam.org/articles/10.1016/j.crma.2007.10.044/
[1] Large Deviations Techniques and Applications, Springer-Verlag, New York, 1998
[2] Stochastic differential equations with reflecting boundary conditions, Comm. Pure Appl. Math., Volume 37 (1984), pp. 511-537
[3] Backward SDE's with maximal monotone operator, Stochastic Process Appl., Volume 76 (1998) no. 2, pp. 191-215
[4] Un principe de grandes déviations pour une équation différentielle stochastique progressive rétrograde, C. R. Acad. Sci Paris, Ser. I, Volume 343 (2006) no. 2, pp. 141-144
[5] Stochastic differential equations for multidimensional domains with reflecting boundary, Probab. Theory Rel. Fields, Volume 74 (1987), pp. 455-477
[6] Large deviation principle of reflecting diffusions, Taiwanese J. Math., Volume 2 (1998) no. 2, pp. 251-256
[7] An Introduction to the Theory of Large Deviations, Springer, New York, 1984
[8] Large Deviations and Applications, Society for Industrial and Applied Mathematics (SIAM), 1984
Cité par Sources :