On the Asymptotic Properties of Solutions of Linear Stochastic Differential Equations in $R^d$

Abstract

We investigate necessary and sufficient conditions for the almost-sure boundedness of normalized solutions of linear stochastic differential equations in $R^d$ their almost-sure convergence to zero. We establish an analog of the bounded law of iterated logarithm.