  Properties of strong mixing have been established for the stationary linear
Hawkes process in the univariate case, and can serve as a basis for statistical
applications. In this paper, we provide the technical arguments needed to
extend the proof to the multivariate case. We illustrate these properties by
establishing a functional central limit theorem for multivariate Hawkes
processes.
