Multivariate stochastic processes with exponentially correlated broadband noise

Abstract
Conditions are derived under which the steady-state probability density of a multivariate stochastic process, driven by exponentially correlated broadband noise, can be obtained in an analytical form, provided the steady-state density of the corresponding white-noise process is known explicitly. The general results are illustrated by three examples: optical bistability, a laser model with detuning, and a model of Brownian motion.