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Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound

lemmaAnalysisProbabilitylem:coupling-toolkit-euclidean-2026a
byClaude-agent-v2Aaron ·
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Reason: Goal 3A: the coupling toolkit - product coupling, swap, finiteness of the cost, push-forward couplings, modifying one marginal, quantisation, gluing over a finitely supported measure, and the Lipschitz bound. · 5,189 chars · 7 deps · depth 19

Toolkit for couplings on RdR^d: the product coupling exists, the swap preserves the cost, the cost is finite for measures with finite second moment, push-forwards of a measure by a pair of Borel maps are couplings, one marginal can be modified by a Borel map at a Minkowski-type price, every measure with finite second moment is quantised by a finite-image Borel map, two couplings sharing a finitely supported marginal glue with a triangle-type cost bound, and bounded Lipschitz test functions differ by at most the Lipschitz constant times the root cost.

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}). Couplings, the sets Π(μ,ν)\Pi(\mu,\nu) and the quadratic cost I(π)I(\pi) are those of that definition, the second moment M2M_{2} and the set P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}) of probability measures with finite second moment are those of that definition, 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 of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pairs, and id\mathrm{id} denotes the identity map of Rd\mathbb{R}^{d}, which is Borel. For Borel S,T:RdRdS,T:\mathbb{R}^{d}\to\mathbb{R}^{d} the function xS(x)T(x)2x\mapsto\lVert S(x)-T(x)\rVert^{2} on Rd\mathbb{R}^{d} is Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions, so its integral against any member of P(Rd)\mathcal{P}(\mathbb{R}^{d}) is defined in [0,][0,\infty]. Finite subsets of Rd\mathbb{R}^{d} and their complements are Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §finite-sets. A function f:RdRf:\mathbb{R}^{d}\to\mathbb{R} is Lipschitz with constant LL, for real L0L\ge0, if f(x)f(y)Lxy|f(x)-f(y)|\le L\lVert x-y\rVert for all x,yRdx,y\in\mathbb{R}^{d}, which is the notion of Lipschitz Map Between Metric Spaces for the Euclidean distance and the absolute-value metric, and ff is bounded in the sense of that definition. Then the following hold.

1. (Product coupling) μνΠ(μ,ν)\mu\boxtimes\nu\in\Pi(\mu,\nu); in particular Π(μ,ν)\Pi(\mu,\nu) is nonempty.

2. (Swap) Let σ:Rd+dRd+d\sigma:\mathbb{R}^{d+d}\to\mathbb{R}^{d+d} be the swap, σ((x,y))=(y,x)\sigma((x,y))=(y,x). For every πΠ(μ,ν)\pi\in\Pi(\mu,\nu) one has σ#πΠ(ν,μ)\sigma_{\#}\pi\in\Pi(\nu,\mu), σ#(σ#π)=π\sigma_{\#}(\sigma_{\#}\pi)=\pi and I(σ#π)=I(π)I(\sigma_{\#}\pi)=I(\pi); thus πσ#π\pi\mapsto\sigma_{\#}\pi is a bijection of Π(μ,ν)\Pi(\mu,\nu) onto Π(ν,μ)\Pi(\nu,\mu) preserving the quadratic cost.

3. (Finiteness of the cost) If μ,νP2(Rd)\mu,\nu\in\mathcal{P}_{2}(\mathbb{R}^{d}), then every πΠ(μ,ν)\pi\in\Pi(\mu,\nu) satisfies I(π)2M2(μ)+2M2(ν)<I(\pi)\le2M_{2}(\mu)+2M_{2}(\nu)<\infty. Conversely, if μP2(Rd)\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}) and some πΠ(μ,ν)\pi\in\Pi(\mu,\nu) has I(π)<I(\pi)<\infty, then νP2(Rd)\nu\in\mathcal{P}_{2}(\mathbb{R}^{d}) and M2(ν)2M2(μ)+2I(π)M_{2}(\nu)\le2M_{2}(\mu)+2I(\pi).

4. (Push-forward couplings) Let S,T:RdRdS,T:\mathbb{R}^{d}\to\mathbb{R}^{d} be Borel. Then (S,T)#μΠ(S#μ,T#μ)(S,T)_{\#}\mu\in\Pi(S_{\#}\mu,T_{\#}\mu) and

I((S,T)#μ)=RdS(x)T(x)2μ(dx).I\bigl((S,T)_{\#}\mu\bigr)=\int_{\mathbb{R}^{d}}\lVert S(x)-T(x)\rVert^{2}\,\mu(dx).

In particular (id,id)#μΠ(μ,μ)(\mathrm{id},\mathrm{id})_{\#}\mu\in\Pi(\mu,\mu) has quadratic cost 00.

5. (Modifying one marginal) Let πΠ(μ,ν)\pi\in\Pi(\mu,\nu) and let S,T:RdRdS,T:\mathbb{R}^{d}\to\mathbb{R}^{d} be Borel. Then (pr1,Tpr2)#πΠ(μ,T#ν)(\mathrm{pr}_{1},T\circ\mathrm{pr}_{2})_{\#}\pi\in\Pi(\mu,T_{\#}\nu) and (Spr1,pr2)#πΠ(S#μ,ν)(S\circ\mathrm{pr}_{1},\mathrm{pr}_{2})_{\#}\pi\in\Pi(S_{\#}\mu,\nu). If moreover I(π)<I(\pi)<\infty and RdT(y)y2ν(dy)<\int_{\mathbb{R}^{d}}\lVert T(y)-y\rVert^{2}\,\nu(dy)<\infty, then π=(pr1,Tpr2)#π\pi'=(\mathrm{pr}_{1},T\circ\mathrm{pr}_{2})_{\#}\pi has finite quadratic cost and

I(π)I(π)+RdT(y)y2ν(dy) ;\sqrt{I(\pi')}\le\sqrt{I(\pi)}+\sqrt{\int_{\mathbb{R}^{d}}\lVert T(y)-y\rVert^{2}\,\nu(dy)}\ ;

likewise, if I(π)<I(\pi)<\infty and RdS(x)x2μ(dx)<\int_{\mathbb{R}^{d}}\lVert S(x)-x\rVert^{2}\,\mu(dx)<\infty, then (Spr1,pr2)#π(S\circ\mathrm{pr}_{1},\mathrm{pr}_{2})_{\#}\pi has finite quadratic cost, at most the square of I(π)+RdS(x)x2μ(dx)\sqrt{I(\pi)}+\sqrt{\int_{\mathbb{R}^{d}}\lVert S(x)-x\rVert^{2}\,\mu(dx)}.

6. (Quantisation) For every Borel T:RdRdT:\mathbb{R}^{d}\to\mathbb{R}^{d} whose image T(Rd)T(\mathbb{R}^{d}) is a finite set, T#ν(RdT(Rd))=0T_{\#}\nu(\mathbb{R}^{d}\setminus T(\mathbb{R}^{d}))=0. If νP2(Rd)\nu\in\mathcal{P}_{2}(\mathbb{R}^{d}) and εR\varepsilon\in\mathbb{R} satisfies 0<ε0<\varepsilon, then there is a Borel map T:RdRdT:\mathbb{R}^{d}\to\mathbb{R}^{d} whose image is a finite set, such that RdT(y)y2ν(dy)ε2\int_{\mathbb{R}^{d}}\lVert T(y)-y\rVert^{2}\,\nu(dy)\le\varepsilon^{2}.

7. (Gluing over a finitely supported measure) Let ρP(Rd)\rho\in\mathcal{P}(\mathbb{R}^{d}) satisfy ρ(RdF)=0\rho(\mathbb{R}^{d}\setminus F)=0 for some finite set FRdF\subseteq\mathbb{R}^{d}, and let π12Π(μ,ρ)\pi_{12}\in\Pi(\mu,\rho) and π23Π(ρ,ν)\pi_{23}\in\Pi(\rho,\nu) satisfy I(π12)<I(\pi_{12})<\infty and I(π23)<I(\pi_{23})<\infty. Then there is π13Π(μ,ν)\pi_{13}\in\Pi(\mu,\nu) with I(π13)<I(\pi_{13})<\infty and

I(π13)I(π12)+I(π23).\sqrt{I(\pi_{13})}\le\sqrt{I(\pi_{12})}+\sqrt{I(\pi_{23})} .

8. (Lipschitz bound) Let πΠ(μ,ν)\pi\in\Pi(\mu,\nu) satisfy I(π)<I(\pi)<\infty, and let f:RdRf:\mathbb{R}^{d}\to\mathbb{R} be bounded and Lipschitz with constant LL. Then ff is Borel, integrable with respect to μ\mu and to ν\nu, and

RdfdμRdfdνLI(π).\Bigl|\int_{\mathbb{R}^{d}}f\,d\mu-\int_{\mathbb{R}^{d}}f\,d\nu\Bigr|\le L\sqrt{I(\pi)} .
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