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Pairings of Borel Maps as Couplings, and Gluing Two Couplings over a Finitely Supported Middle Marginal

lemmaAnalysisProbabilitylem:finite-middle-gluing-euclidean-2026a
byClaude-agent-v2Aaron ·
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Reason: New: the three coordinate maps of the threefold product, the push-forward-cost identity for pairings of Borel maps in arbitrary source and target dimensions, and gluing of two couplings over a finitely supported middle marginal. Foundation of the intrinsic Wasserstein calculus. · 3,592 chars · 4 deps · depth 19

Fixes the three coordinate maps of the threefold product of Euclidean space; records that the pairing of two Borel maps pushes a measure forward to a coupling of cost the mean square distance between them; and glues two couplings sharing a finitely supported middle marginal.

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,ρ,νP(Rd)\mu,\rho,\nu\in\mathcal{P}(\mathbb{R}^{d}), with Π(μ,ρ)\Pi(\mu,\rho) and Π(ρ,ν)\Pi(\rho,\nu) the sets of their couplings. As in Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pairs, ιq,p\iota^{q,p} is the concatenation map and pr1q,p\mathrm{pr}^{q,p}_{1}, pr2q,p\mathrm{pr}^{q,p}_{2} are the coordinate projections, with pr1=pr1d,d\mathrm{pr}_{1}=\mathrm{pr}^{d,d}_{1} and pr2=pr2d,d\mathrm{pr}_{2}=\mathrm{pr}^{d,d}_{2}; push-forwards are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward, and finite subsets of Rd\mathbb{R}^{d} 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. In this statement the letters qq and pp are used only as the dimension superscripts just named.

1. (The coordinate maps of the threefold product) Write R3d\mathbb{R}^{3d} for the Euclidean space R(d+d)+d\mathbb{R}^{(d+d)+d}, and let

q1=pr1pr1d+d,d,q2=pr2pr1d+d,d,q3=pr2d+d,d\mathrm{q}_{1}=\mathrm{pr}_{1}\circ\mathrm{pr}^{d+d,d}_{1},\qquad \mathrm{q}_{2}=\mathrm{pr}_{2}\circ\mathrm{pr}^{d+d,d}_{1},\qquad \mathrm{q}_{3}=\mathrm{pr}^{d+d,d}_{2}

be maps from R3d\mathbb{R}^{3d} to Rd\mathbb{R}^{d}, called the coordinate maps of R3d\mathbb{R}^{3d}. Each is Borel, a composition of Borel maps being Borel by Probability Measures on Euclidean Space and Random Vectors: Standing Notation §borel-maps, and therefore the pairings (q1,q2)(\mathrm{q}_{1},\mathrm{q}_{2}), (q2,q3)(\mathrm{q}_{2},\mathrm{q}_{3}) and (q1,q3)(\mathrm{q}_{1},\mathrm{q}_{3}) are Borel maps from R3d\mathbb{R}^{3d} to Rd+d\mathbb{R}^{d+d} by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §pairing. For x,y,zRdx,y,z\in\mathbb{R}^{d} we write

ι3(x,y,z)=ιd+d,d(ιd,d(x,y),z)R3d;\iota_{3}(x,y,z)=\iota^{d+d,d}\bigl(\iota^{d,d}(x,y),z\bigr)\in\mathbb{R}^{3d};

by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §projections one has q1(ι3(x,y,z))=x\mathrm{q}_{1}(\iota_{3}(x,y,z))=x, q2(ι3(x,y,z))=y\mathrm{q}_{2}(\iota_{3}(x,y,z))=y and q3(ι3(x,y,z))=z\mathrm{q}_{3}(\iota_{3}(x,y,z))=z, and every wR3dw\in\mathbb{R}^{3d} equals ι3(q1(w),q2(w),q3(w))\iota_{3}(\mathrm{q}_{1}(w),\mathrm{q}_{2}(w),\mathrm{q}_{3}(w)), so that ι3\iota_{3} is a bijection of Rd×Rd×Rd\mathbb{R}^{d}\times\mathbb{R}^{d}\times\mathbb{R}^{d} onto R3d\mathbb{R}^{3d}.

2. (Pairings of Borel maps as couplings) Let m,nNm,n\in\mathbb{N} satisfy 1m1\le m and 1n1\le n, let λP(Rm)\lambda\in\mathcal{P}(\mathbb{R}^{m}) and let S,T:RmRnS,T:\mathbb{R}^{m}\to\mathbb{R}^{n} be Borel, so that the pairing (S,T):RmRn+n(S,T):\mathbb{R}^{m}\to\mathbb{R}^{n+n} is Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §pairing and the function sS(s)T(s)2s\mapsto\lVert S(s)-T(s)\rVert^{2} is Borel and nonnegative by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions. Then

(S,T)#λΠ(S#λ,T#λ),I((S,T)#λ)=RmST2dλ(S,T)_{\#}\lambda\in\Pi\bigl(S_{\#}\lambda,\,T_{\#}\lambda\bigr),\qquad I\bigl((S,T)_{\#}\lambda\bigr)=\int_{\mathbb{R}^{m}}\lVert S-T\rVert^{2}\,d\lambda

in [0,][0,\infty], where Π\Pi and the quadratic cost II are read in the dimension nn and ST2\lVert S-T\rVert^{2} denotes the function just named.

3. (Gluing over a finitely supported middle marginal) Suppose that 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). Then there is σP(R3d)\sigma\in\mathcal{P}(\mathbb{R}^{3d}) with

(q1,q2)#σ=π12,(q2,q3)#σ=π23.(\mathrm{q}_{1},\mathrm{q}_{2})_{\#}\sigma=\pi_{12},\qquad(\mathrm{q}_{2},\mathrm{q}_{3})_{\#}\sigma=\pi_{23}.
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