 Skorokhod representation theorem

For convergence in distribution of random elements in a separable complete metric space, one can construct copies of the sequence and its limit on one probability space which converge almost surely. The copies preserve the individual laws; they need not preserve the original dependence between sequence elements. Suitable more general versions permit a separably supported limit in a metric space.