  We prove a version of the multidimensional Fourth Moment Theorem for chaotic
random vectors, in the general context of diffusion Markov generators. In
addition to the usual componentwise convergence and unlike the
infinite-dimensional Ornstein-Uhlenbeck generator case, another moment-type
condition is required to imply joint convergence of of a given sequence of
vectors.
