Wasserstein convergence on a Hilbert space implies weak convergence and convergence of integrals of continuous functions of quadratic growth; conversely weak convergence with uniformly integrable second moments implies Wasserstein convergence, which gives a compactness criterion.
In the setting of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation, let be the set of probability measures on with finite second moment and the quadratic Wasserstein distance on it. Let be a sequence in .
1. (Weak convergence) If and , then .
2. (Quadratic growth) Let with , let be continuous, and let satisfy for every . Then is integrable with respect to and to every , and .
3. (Convergence) Let with , and suppose that for every real there is a real with
Then and .
4. (Compactness) Suppose is tight in and that for every real there is a real with for every . Then there are and a strictly increasing sequence in with .
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