Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration
lemmaAnalysisProbabilitylem:empirical-measure-basic-euclidean-2026aThe empirical measure of a configuration gives each Borel set the fraction of particles in it and integrates a function to its average over the particles; it commutes with product maps, has second moment the squared norm over N, depends Lipschitz-continuously on the configuration with constant one over the square root of N, and its distance to a fixed measure is a continuous function of the configuration.
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 . The block maps and product maps are those of Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §blocks and Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §product-map respectively, is the empirical measure of , is the indicator function of , Borel maps are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §borel-maps, the second moment and are those of The Second Moment of a Probability Measure on Euclidean Space and the Probability Measures with Finite Second Moment §space, is the Wasserstein distance, and continuity of a real function on refers to the Euclidean distance and the metric of The Absolute Value Metric on the Real Line. Let . Then the following hold.
1. (Values)¶ For every , .
2. (Integrals)¶ For every Borel , . Every Borel is integrable with respect to , with the same identity.
3. (Push-forwards)¶ For and Borel , , the right side being the empirical measure of .
4. (Second moment)¶ and .
5. (Lipschitz dependence)¶ .
6. (Distance to a fixed measure)¶ For every , , and the function on is continuous and Borel.
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