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Couplings of Two Probability Measures on Euclidean Space and Their Quadratic Cost

definitionAnalysisProbabilitydef:coupling-quadratic-cost-euclidean-2026a
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Reason: Goal 3A: couplings of two probability measures on R^d and their quadratic cost. · 1,376 chars · 1 dep · depth 18

A coupling of two probability measures on RdR^d is a probability measure on Rd+dR^{d+d} whose push-forwards by the two coordinate projections are the given measures; its quadratic cost is the integral of the squared distance between the two coordinates.

Statement

In the setting of Probability Measures on Euclidean Space and Random Vectors: Standing Notation, let dNd\in\mathbb{N} satisfy 1d1\le d, and let μ,νP(Rd)\mu,\nu\in\mathcal{P}(\mathbb{R}^{d}). As in Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pairs, pr1,pr2:Rd+dRd\mathrm{pr}_{1},\mathrm{pr}_{2}:\mathbb{R}^{d+d}\to\mathbb{R}^{d} are the coordinate projections for the splitting d+dd+d, and push-forwards are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward.

1. (Coupling) A coupling of μ\mu and ν\nu is a probability measure πP(Rd+d)\pi\in\mathcal{P}(\mathbb{R}^{d+d}) whose push-forwards by the two projections are μ\mu and ν\nu:

(pr1)#π=μ,(pr2)#π=ν,(\mathrm{pr}_{1})_{\#}\pi=\mu,\qquad(\mathrm{pr}_{2})_{\#}\pi=\nu ,

that is, π(pr11(A))=μ(A)\pi(\mathrm{pr}_{1}^{-1}(A))=\mu(A) and π(pr21(B))=ν(B)\pi(\mathrm{pr}_{2}^{-1}(B))=\nu(B) for all A,BB(Rd)A,B\in\mathcal{B}(\mathbb{R}^{d}). The set of all couplings of μ\mu and ν\nu is denoted Π(μ,ν)\Pi(\mu,\nu).

2. (Quadratic cost) The quadratic cost of a coupling πΠ(μ,ν)\pi\in\Pi(\mu,\nu) is

I(π)=Rd+dpr1(z)pr2(z)2π(dz)[0,],I(\pi)=\int_{\mathbb{R}^{d+d}}\lVert\mathrm{pr}_{1}(z)-\mathrm{pr}_{2}(z)\rVert^{2}\,\pi(dz)\in[0,\infty],

the integral, in the sense of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §measures, of the nonnegative Borel function zpr1(z)pr2(z)2z\mapsto\lVert\mathrm{pr}_{1}(z)-\mathrm{pr}_{2}(z)\rVert^{2} of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pairs.

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