Skorokhod's representation theorem


In mathematics and statistics, Skorokhod's representation theorem is a result that shows that a weakly convergent sequence of probability measures whose limit measure is sufficiently well-behaved can be represented as the distribution/law of a pointwise convergent sequence of random variables defined on a common probability space. It is named for the Soviet mathematician A. V. Skorokhod.

Statement

Let, be a sequence of probability measures on a metric space such that converges weakly to some probability measure on as. Suppose also that the support of is separable. Then there exist random variables defined on a common probability space such that the law of is for all and such that converges to, -almost surely.