Viability problems for SDEs in a general Gelfand triple setup using a variational approach

Source abstract

We establish viability conditions for a broad general class of stochastic differential equations formulated within the variational approach,% $$dX_{t}=A\left( X_{t}\right) dt+B\left( X_{t}\right) dW_{t}.$$ The underlying functional space setup is given by a general Gelfand triple $V\subset H\subset V^{\ast},$ where $H$ is a separable Hilbert space in which the stochastic evolution equation (SEE) is considered. Our approach to deriving viability conditions is inspired by the techniques developed by Aubin and Da Prato for finite-dimensional forward stochastic differential equations. We establish necessary and sufficient conditions for the viability of closed random constraint sets in terms of adapted variational tangent (and contingent) sets. Furthermore, we illustrate the applicability of the proposed framework by discussing several important classes of stochastic differential equations that fit naturally within our variational setting.