Department of Aerospace Engineering and Mechanics, University or Minnesota, U.S.A.
School of Mathematics, University of Minnesota, U.S.A.
Abstract:
Systems of stochastic ordinary differential equations dependent on a small parameter are studied. The equations are assumed to depend on two time scales: they are stochastic in a fast time t and they are deterministic in a slow time t. The method of analysis is based on a generalization of the Method of Averaging. Mathematical results are given valid for all t for sufficiently small. The mathematical results are applied to several examples of parametrically excited dynamical systems.