Tensor Approach to the Problem of Averaging Differential Equations with $\delta$-Correlated Random Coefficients

Linear ordinary differential equations with $\delta$-correlated random coefficients are considered. We introduce the notion of linearizing tensor and use this notion to construct an algorithm for deriving differential equations for higher-order statistical moments of the solution of arbitrary positive integer orders.