Weak convergence of stochastic integrals with applications to SPDEs

In this paper we provide sufficient conditions for sequences of random fields of the form ${\int }_{D}f(x,y){\theta }_n(y)dy$ to weakly converge, in the space of continuous functions over $D$, to integrals with respect to the Brownian sheet, ${\int }_{D}f(x,y)W(dy)$, where $D\subset {\mathbb{R}}^d$ is a rectangular domain, $x\in D$, $f$ is a function satisfying some integrability conditions and $\{{\theta }_n{\}}_n$ is a sequence of stochastic processes whose integrals ${\int }_{[0,x]}{\theta }_n(y)dy$ converge in law to the Brownian sheet (in the sense of the finite dimensional distribution convergence). We then apply these results to stablish the weak convergence of solutions of the stochastic Poisson equation.