  We establish a theory for multivariate extreme value analysis of dynamical
systems. Namely, we provide conditions adapted to the dynamical setting which
enable the study of dependence between extreme values of the components of
$\R^d$-valued observables evaluated along the orbits of the systems. We study
this cross-sectional dependence, which results from the combination of a
spatial and a temporal dependence structures. We give several illustrative
applications, where concrete systems and dependence sources are introduced and
analysed.
