LINEARIZATION OF A SECOND-ORDER STOCHASTIC ORDINARY DIFFERENTIAL EQUATION

Necessary and sufficient conditions which allow a second-order stochastic ordinary differential equation to be transformed to linear form are presented. The transformation can be chosen in a way so that all but one of the coefficients in the stochastic integral part vanish. The linearization criteria thus obtained are used to determine the general form of a linearizable Langevin equation.