Dirac Measures on Euclidean Space: Probability Measure, Integrals, Push-Forwards and the Coupling of Two Dirac Measures
lemmaAnalysisProbabilitylem:dirac-measure-euclidean-2026aThe point mass at a point of Euclidean space is a probability measure with finite second moment equal to the squared norm of the point; it integrates every Borel function to its value at the point, is pushed forward to the point mass at the image, and two point masses are coupled by the point mass at the pair, so their Wasserstein distance is at most the distance of the points.
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 , and let be the function with if and if . Probability measures and push-forwards are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward, Borel maps those of that clause, the concatenation that of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pairs, couplings and the quadratic cost those of that definition, the second moment and those of The Second Moment of a Probability Measure on Euclidean Space and the Probability Measures with Finite Second Moment §space, and the Wasserstein distance in every dimension. Then the following hold.
1. (Probability measure)¶ is a probability measure on ; moreover and .
2. (Integrals)¶ For every Borel , . Every Borel is integrable with respect to , and .
3. (Push-forwards)¶ For and Borel , , the right side being the function of the preamble formed in at the point .
4. (Coupling of two Dirac measures)¶ For , the function of the preamble formed in satisfies and ; consequently .
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