Generalized backward doubly stochastic differential equations and SPDEs with nonlinear Neumann boundary conditions
arXiv:0708.4138 · doi:10.3150/07-BEJ5092
Abstract
In this paper a new class of generalized backward doubly stochastic differential equations is investigated. This class involves an integral with respect to an adapted continuous increasing process. A probabilistic representation for viscosity solutions of semi-linear stochastic partial differential equations with a Neumann boundary condition is given.
Published at http://dx.doi.org/10.3150/07-BEJ5092 in the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
Cited by in corpus (5)
- On the continuity of the probabilistic representation of a semilinear Neumann-Dirichlet problem
- Forward-backward doubly stochastic systems and classical solutions of path-dependent stochastic PDEs
- An efficient Monte Carlo scheme for Zakai equations
- Probabilistic representation of parabolic stochastic variational inequality with Dirichlet-Neumann boundary and variational generalized backward doubly stochastic differential equations
- Stochastic viscosity solutions for stochastic integral-partial differential equations and singular stochastic control