We have random process $X(t)$ satisfying the following SDE: $dX(t)=A(X(t))dt+B(X(t))dW(t)$, with $W(t)$ - Wiener process.
Does somebody know sufficient/necessary conditions on $A$ and $B$, that the random process $X(t)$ is normal and/or stationary?
I would be grateful for the literature, also in the complex case.
I recommend the following book on:
Stochastic Stability of Differential Equations
Specifically Chapter 3 if I recall correctly.