
We combine white noise analysis and variational methods for partial differential equations to study stochastic partial differential equations. The equations are studied in the Kondratiev spaces of stochastic distributions. A new estimate on the Wick product in these spaces is shown. With this estimate we are able to prove existence and uniqueness of solution to a large family of stochastic differential equations of elliptic, parabolic, and hyperbolic type. To illustrate our ideas we prove that the pressure equation in a stochastic medium \(Lu=0\), where \(L(u) = \text{div} (\exp^{\diamond} W_x \diamond \nabla u)\) and \(W_x\) is white noise, has a unique solution. Similar results are shown for the equations \(u_t=Lu\) and \(u_{tt}=Lu\) with suitable initial-boundary conditions.
Stochastic partial differential equations (aspects of stochastic analysis), stochastic partial differential equations, generalized stochastic processes, Generalized stochastic processes
Stochastic partial differential equations (aspects of stochastic analysis), stochastic partial differential equations, generalized stochastic processes, Generalized stochastic processes
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