On a stochastic approximation theorem in a Hilbert space and its applications

A stochastic approximation theorem for the estimating of the solution of linear equation with self-adjoined operator is established. For a system of integral equations containing moments of random processes an iterative procedure is proposed for estimating the solution by means of a sequence of independent sample functions of these random processes.