The Law of Large Numbers for Empirical Measures is Uniform on Wasserstein-Compact Sets
corollaryAnalysisProbabilitycor:empirical-measure-lln-uniform-wasserstein-2026aThe root-mean-square Wasserstein distance between the empirical measure of N samples and the sampled measure is 2-Lipschitz in the measure, uniformly in N, and therefore tends to zero uniformly over every compact set of measures.
In the setting of Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation, whose probability space is not used, let , and for and let be the root-mean-square distance of Law of Large Numbers for Empirical Measures in the Wasserstein Distance §finite; is the Wasserstein distance.
1. (Lipschitz dependence on the measure)¶ For every and all , .
2. (Uniformity on compact sets)¶ Let be a compact subset of the metric space and let be positive. Then there is such that for every with and every .
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