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Proof of Law of Large Numbers for Empirical Measures in the Wasserstein Distance

theoremthm:empirical-measure-lln-wasserstein-2026a
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Integrability follows from bounding the squared distance by the cost of the product coupling. For convergence, quantise the measure onto finitely many cells, split the distance by the triangle inequality into a quantisation error, a finite-support term controlled by the variance of the cell masses, and a fixed quantisation cost, and combine the three bounds by the mean-square triangle inequality.

Proof

Each result cited is universally quantified over the data in its own statement.

Conventions. Fix q∈Nq\in\mathbb{N} and ν∈P2(Rq)\nu\in\mathcal{P}_{2}(\mathbb{R}^{q}) as in the statement. By Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation we have 1≤q1\le q, so for every N∈NN\in\mathbb{N} also 1≤qN1\le qN, and 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, in force by Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation §background, applies in dimension qq. For N∈NN\in\mathbb{N} we write ι(N)\iota(N) for the image of NN under the canonical map ι:N→R\iota:\mathbb{N}\to\mathbb{R} of The Canonical Map from the Natural Numbers to a Field; this is the real number written NN in the displayed formulas of the results cited below. By claim 3 of Properties of the Canonical Map from the Natural Numbers to an Ordered Field, 0<ι(N)0<\iota(N), the inverse ι(N)−1\iota(N)^{-1} exists and 0<ι(N)−10<\iota(N)^{-1}. We write PN=ν⊗N∈P(RqN)P_{N}=\nu^{\otimes N}\in\mathcal{P}(\mathbb{R}^{qN}) and fN(x)=W2(μxN,ν)f_{N}(x)=W_{2}(\mu^{N}_{x},\nu) for x∈RqNx\in\mathbb{R}^{qN}. The triple (RqN,B(RqN),PN)(\mathbb{R}^{qN},\mathcal{B}(\mathbb{R}^{qN}),P_{N}) is a probability space in the sense of Probability Space, Event, and Random Variable, a Borel map RqN→R\mathbb{R}^{qN}\to\mathbb{R} (Probability Measures on Euclidean Space and Random Vectors: Standing Notation §borel-maps) is a random variable on it, and for a nonnegative random variable VV on it the expectation is E[V]=∫RqNV dPN\mathbb{E}[V]=\int_{\mathbb{R}^{qN}}V\,dP_{N} by Expectation, Variance, and Moments; square-integrable random variables and the norm ∥V∥2\lVert V\rVert_{2}, the nonnegative square root of E[V2]\mathbb{E}[V^{2}], are those of Square-Integrable Random Variables and the Mean-Square Inner Product. Two elementary facts are used repeatedly.

(C) Let QQ be a probability measure on a Euclidean space EE and let c∈Rc\in\mathbb{R} with 0≤c0\le c. The constant function with value cc on EE is Borel by claim 1 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions; it is a nonnegative simple function whose only value is cc, attained on EE, so its integral in the sense of Simple Function and Its Integral is c Q(E)=cc\,Q(E)=c, and by the last sentence of Lebesgue Integral of a Nonnegative Measurable Function this is also its integral as a nonnegative measurable function.

(S) Let a,b∈Ra,b\in\mathbb{R} with 0≤a0\le a and 0≤b0\le b. Then a≤ba\le b if and only if a2≤b2a^{2}\le b^{2} (claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field), and a<ba<b if and only if a2<b2a^{2}<b^{2} (claim 1 there). In particular, for 0≤s0\le s the nonnegative square root of ss given by Existence and Uniqueness of the Nonnegative Square Root is at most bb whenever s≤b2s\le b^{2}.

Step 1 (Clause 1: integrability). Fix N∈NN\in\mathbb{N}. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §distance, applied with our ν∈P2(Rq)\nu\in\mathcal{P}_{2}(\mathbb{R}^{q}), the function fNf_{N} on RqN\mathbb{R}^{qN} is Borel with values in [0,∞)[0,\infty), hence fN2=fNfNf_{N}^{2}=f_{N}f_{N} is Borel by claim 3 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, with nonnegative values. Let x∈RqNx\in\mathbb{R}^{qN}. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §moment, μxN∈P2(Rq)\mu^{N}_{x}\in\mathcal{P}_{2}(\mathbb{R}^{q}) and ι(N)M2(μxN)=∥x∥2\iota(N)M_{2}(\mu^{N}_{x})=\lVert x\rVert^{2}; multiplying by ι(N)−1\iota(N)^{-1} gives M2(μxN)=ι(N)−1∥x∥2M_{2}(\mu^{N}_{x})=\iota(N)^{-1}\lVert x\rVert^{2}. By 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 §product, μxN⊠ν∈Π(μxN,ν)\mu^{N}_{x}\boxtimes\nu\in\Pi(\mu^{N}_{x},\nu); the inequality W2(μ,ν)2≤I(π)W_{2}(\mu,\nu)^{2}\le I(\pi) for every coupling, recorded in The Quadratic Wasserstein Distance on Euclidean Space §distance, and the bound on the cost of a coupling of two members of P2(Rq)\mathcal{P}_{2}(\mathbb{R}^{q}) in 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 §cost-finite give

fN(x)2≤I(μxN⊠ν)≤2M2(μxN)+2M2(ν)=2ι(N)−1∥x∥2+2M2(ν).f_{N}(x)^{2}\le I(\mu^{N}_{x}\boxtimes\nu)\le2M_{2}(\mu^{N}_{x})+2M_{2}(\nu)=2\iota(N)^{-1}\lVert x\rVert^{2}+2M_{2}(\nu).

The function x↦∥x∥2x\mapsto\lVert x\rVert^{2} on RqN\mathbb{R}^{qN} is Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions, and the constant 2M2(ν)2M_{2}(\nu) is a nonnegative real number because M2(ν)<∞M_{2}(\nu)<\infty by The Second Moment of a Probability Measure on Euclidean Space and the Probability Measures with Finite Second Moment §space. By the additivity, homogeneity and monotonicity of the integral of nonnegative measurable functions (claim 1 of Linearity and Monotonicity of the Lebesgue Integral),

∫RqNfN2 dPN≤2ι(N)−1∫RqN∥x∥2 PN(dx)+∫RqN2M2(ν) PN(dx).\int_{\mathbb{R}^{qN}}f_{N}^{2}\,dP_{N}\le2\iota(N)^{-1}\int_{\mathbb{R}^{qN}}\lVert x\rVert^{2}\,P_{N}(dx)+\int_{\mathbb{R}^{qN}}2M_{2}(\nu)\,P_{N}(dx).

The first integral is the second moment M2(PN)M_{2}(P_{N}) of The Second Moment of a Probability Measure on Euclidean Space and the Probability Measures with Finite Second Moment §moment in dimension qNqN, which equals ι(N)M2(ν)\iota(N)M_{2}(\nu) by Tensor Powers and One-Particle Marginals: Particle Laws, Product Integrals, Push-Forwards, Moments, Product Maps and Diagonal Shifts §moments; the second equals 2M2(ν)2M_{2}(\nu) by (C). Hence ∫RqNfN2 dPN≤2M2(ν)+2M2(ν)<∞\int_{\mathbb{R}^{qN}}f_{N}^{2}\,dP_{N}\le2M_{2}(\nu)+2M_{2}(\nu)<\infty. As fN2f_{N}^{2} is nonnegative it equals ∣fN2∣|f_{N}^{2}|, so fN2f_{N}^{2} is integrable with respect to PNP_{N} by the last sentence of Integrable Function and the Lebesgue Integral. This proves clause 1. Its integral is a nonnegative real number, and ϕN(ν)\phi_{N}(\nu) is its nonnegative square root; thus 0≤ϕN(ν)0\le\phi_{N}(\nu) and ϕN(ν)2=∫RqNfN2 dPN\phi_{N}(\nu)^{2}=\int_{\mathbb{R}^{qN}}f_{N}^{2}\,dP_{N}. In the language of the conventions, fNf_{N} is a square-integrable random variable on (RqN,B(RqN),PN)(\mathbb{R}^{qN},\mathcal{B}(\mathbb{R}^{qN}),P_{N}) and ϕN(ν)=∥fN∥2\phi_{N}(\nu)=\lVert f_{N}\rVert_{2}.

Step 2 (Clause 2: the tolerance). To verify Limit of a Sequence of Real Numbers for the limit 00, let ε∈R\varepsilon\in\mathbb{R} with 0<ε0<\varepsilon be given. The objects below are chosen in this order: first η\eta (Step 2), then TT (Step 3), then MM, z1,…,zMz_{1},\dots,z_{M}, FF, DD and A1,…,AMA_{1},\dots,A_{M} (Step 4), then mm, KK, β\beta and N0N_{0} (Step 5); each depends only on ε\varepsilon, ν\nu and the objects chosen before it, and none depends on NN. Put η=(ε⋅2−1)⋅2−1\eta=(\varepsilon\cdot2^{-1})\cdot2^{-1}. By claim 8 of Elementary Order Arithmetic in an Ordered Field, applied to ε\varepsilon and then to ε⋅2−1\varepsilon\cdot2^{-1}, we have 0<ε⋅2−10<\varepsilon\cdot2^{-1}, 0<η0<\eta, η+η=ε⋅2−1\eta+\eta=\varepsilon\cdot2^{-1} and ε⋅2−1+ε⋅2−1=ε\varepsilon\cdot2^{-1}+\varepsilon\cdot2^{-1}=\varepsilon, hence η+η+η+η=ε\eta+\eta+\eta+\eta=\varepsilon. Since 0<η0<\eta, claim 1 of Elementary Order Arithmetic in an Ordered Field (adding η+η+η\eta+\eta+\eta to both sides of 0<η0<\eta) gives η+η+η<ε\eta+\eta+\eta<\varepsilon.

Step 3 (Quantisation). By the second sentence of 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 §quantisation, applied in dimension qq to ν∈P2(Rq)\nu\in\mathcal{P}_{2}(\mathbb{R}^{q}) and the positive number η\eta, there is a Borel map T:Rq→RqT:\mathbb{R}^{q}\to\mathbb{R}^{q} whose image T(Rq)T(\mathbb{R}^{q}) is a finite set and

∫Rq∥T(y)−y∥2 ν(dy)≤η2.\int_{\mathbb{R}^{q}}\lVert T(y)-y\rVert^{2}\,\nu(dy)\le\eta^{2}.

Fix such a TT.

Step 4 (Cells). The set F=T(Rq)F=T(\mathbb{R}^{q}) is finite and nonempty (it contains T(0Rq)T(0_{\mathbb{R}^{q}})), so by Finite Set and Number of Elements of a Set there are M∈NM\in\mathbb{N} and a bijection [M]→F[M]\to F, i↦zii\mapsto z_{i}; thus z1,…,zMz_{1},\dots,z_{M} are pairwise distinct and F={z1,…,zM}F=\{z_{1},\dots,z_{M}\}. For i∈[M]i\in[M] put si=∑j=1M∥zi−zj∥s_{i}=\sum_{j=1}^{M}\lVert z_{i}-z_{j}\rVert, and put D=∑i=1MsiD=\sum_{i=1}^{M}s_{i}. All summands being nonnegative, 0≤si0\le s_{i} by claim 5 of Properties of Finite Sums, and claim 6 there, applied twice, gives ∥zi−zj∥≤si≤D\lVert z_{i}-z_{j}\rVert\le s_{i}\le D for all i,j∈[M]i,j\in[M]. For i∈[M]i\in[M] put Ai=T−1({zi})A_{i}=T^{-1}(\{z_{i}\}); since {zi}∈B(Rq)\{z_{i}\}\in\mathcal{B}(\mathbb{R}^{q}) by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §finite-sets and TT is Borel, Ai∈B(Rq)A_{i}\in\mathcal{B}(\mathbb{R}^{q}). Put ci=ν(Ai)c_{i}=\nu(A_{i}); by monotonicity of measures (claim 2 of Basic Properties of a Measure) 0≤ci≤ν(Rq)=10\le c_{i}\le\nu(\mathbb{R}^{q})=1.

Step 5 (The threshold N0N_{0}). Put m=∑i=1M1m=\sum_{i=1}^{M}1, a real number with 0≤m0\le m by claim 1 of Elementary Arithmetic in an Ordered Field and claim 5 of Properties of Finite Sums. Taking i=ji=j above gives 0≤∥zi−zi∥≤D0\le\lVert z_{i}-z_{i}\rVert\le D (claim 1 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n), hence 0≤D0\le D, so 0≤D20\le D^{2} and then 0≤D2m0\le D^{2}m by the second axiom of Ordered Field. Put K=D2m+1K=D^{2}m+1. By claim 6 of Elementary Order Arithmetic in an Ordered Field, 0<10<1, so 1≤K1\le K by the first axiom of Ordered Field and 0<K0<K by claim 2 of Elementary Order Arithmetic in an Ordered Field; hence K−1K^{-1} exists and 0<K−10<K^{-1} by claim 7 there. Also D2m≤KD^{2}m\le K, since 0≤10\le1. Put β=η2K−1\beta=\eta^{2}K^{-1}; by claim 5 of Elementary Order Arithmetic in an Ordered Field, 0<η20<\eta^{2}, 0<β0<\beta and 0<β20<\beta^{2}, and Kβ=η2K\beta=\eta^{2}. By claim 2 of The Archimedean Property of the Real Numbers, applied with x=1x=1 and the positive number β2\beta^{2}, choose N0∈NN_{0}\in\mathbb{N} with 1<ι(N0)β21<\iota(N_{0})\beta^{2}.

We claim that ι(N)−1<β2\iota(N)^{-1}<\beta^{2} for every N∈NN\in\mathbb{N} with N0≤NN_{0}\le N. Indeed, either N=N0N=N_{0}, or N0<NN_{0}<N and then ι(N0)<ι(N)\iota(N_{0})<\iota(N) by claim 6 of Properties of the Canonical Map from the Natural Numbers to an Ordered Field; in both cases ι(N0)≤ι(N)\iota(N_{0})\le\iota(N), so ι(N0)β2≤ι(N)β2\iota(N_{0})\beta^{2}\le\iota(N)\beta^{2} by claim 5 of Elementary Arithmetic in an Ordered Field, and 1<ι(N)β21<\iota(N)\beta^{2} by claim 2 of Elementary Order Arithmetic in an Ordered Field. Multiplying by ι(N)−1>0\iota(N)^{-1}>0 (claim 10 there) gives ι(N)−1<β2\iota(N)^{-1}<\beta^{2}.

Step 6 (Three auxiliary functions). From now on fix N∈NN\in\mathbb{N} with N0≤NN_{0}\le N; it remains to show ϕN(ν)<ε\phi_{N}(\nu)<\varepsilon. By the first sentence of 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 §quantisation, applied to ν\nu and, for each x∈RqNx\in\mathbb{R}^{qN}, to μxN∈P(Rq)\mu^{N}_{x}\in\mathcal{P}(\mathbb{R}^{q}), the measures T#νT_{\#}\nu and T#μxNT_{\#}\mu^{N}_{x} give measure 00 to Rq∖F\mathbb{R}^{q}\setminus F. Hence The Wasserstein Distance between Two Probability Measures Carried by a Finite Set is Bounded by the Squared Diameter Times the Total Variation of the Masses §bound, applied with n=qn=q, the points z1,…,zMz_{1},\dots,z_{M}, the number DD of Step 4 and ρ=T#μxN\rho=T_{\#}\mu^{N}_{x}, ρ′=T#ν\rho'=T_{\#}\nu, shows T#ν∈P2(Rq)T_{\#}\nu\in\mathcal{P}_{2}(\mathbb{R}^{q}), T#μxN∈P2(Rq)T_{\#}\mu^{N}_{x}\in\mathcal{P}_{2}(\mathbb{R}^{q}), and

W2(T#μxN,T#ν)2≤D2∑i=1M∣T#μxN({zi})−T#ν({zi})∣=D2∑i=1M∣μxN(Ai)−ci∣,W_{2}(T_{\#}\mu^{N}_{x},T_{\#}\nu)^{2}\le D^{2}\sum_{i=1}^{M}\bigl|T_{\#}\mu^{N}_{x}(\{z_{i}\})-T_{\#}\nu(\{z_{i}\})\bigr|=D^{2}\sum_{i=1}^{M}\bigl|\mu^{N}_{x}(A_{i})-c_{i}\bigr|,

the equality because T#ρ({zi})=ρ(T−1({zi}))=ρ(Ai)T_{\#}\rho(\{z_{i}\})=\rho(T^{-1}(\{z_{i}\}))=\rho(A_{i}) for every ρ∈P(Rq)\rho\in\mathcal{P}(\mathbb{R}^{q}) by Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §pushforward with p=qp=q and h=Th=T, T#μxN=μT⊕(x)NT_{\#}\mu^{N}_{x}=\mu^{N}_{T^{\oplus}(x)}, where T⊕:RqN→RqNT^{\oplus}:\mathbb{R}^{qN}\to\mathbb{R}^{qN} is the product map of Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §product-map, which is Borel by Particle Blocks: Linearity, Splitting of Inner Products, Product Maps and Diagonal Shifts §product-map.

Define on RqN\mathbb{R}^{qN}

u(x)=∣fN(x)−fN(T⊕(x))∣,g(x)=W2(μT⊕(x)N,T#ν),u(x)=\bigl|f_{N}(x)-f_{N}(T^{\oplus}(x))\bigr|,\qquad g(x)=W_{2}\bigl(\mu^{N}_{T^{\oplus}(x)},T_{\#}\nu\bigr),

and the real number c=W2(T#ν,ν)c=W_{2}(T_{\#}\nu,\nu), defined because T#ν,ν∈P2(Rq)T_{\#}\nu,\nu\in\mathcal{P}_{2}(\mathbb{R}^{q}). The function fN∘T⊕f_{N}\circ T^{\oplus} is Borel as a composition of Borel maps (Probability Measures on Euclidean Space and Random Vectors: Standing Notation §borel-maps), so uu is Borel by claims 2 and 4 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §distance, applied with the measure T#ν∈P2(Rq)T_{\#}\nu\in\mathcal{P}_{2}(\mathbb{R}^{q}) in place of ν\nu, the function y↦W2(μyN,T#ν)y\mapsto W_{2}(\mu^{N}_{y},T_{\#}\nu) on RqN\mathbb{R}^{qN} is Borel, and gg is its composition with T⊕T^{\oplus}, hence Borel. The functions uu, gg and the constant cc (claim 1 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions) are nonnegative random variables on (RqN,B(RqN),PN)(\mathbb{R}^{qN},\mathcal{B}(\mathbb{R}^{qN}),P_{N}), and by the display above, for every x∈RqNx\in\mathbb{R}^{qN},

g(x)2≤D2∑i=1Mhi(x),hi(x)=∣μxN(Ai)−ci∣.g(x)^{2}\le D^{2}\sum_{i=1}^{M}h_{i}(x),\qquad h_{i}(x)=\bigl|\mu^{N}_{x}(A_{i})-c_{i}\bigr| .

Step 7 (Pointwise domination). Let x∈RqNx\in\mathbb{R}^{qN}. By claim 3 of Properties of the Absolute Value in an Ordered Field, fN(x)−fN(T⊕(x))≤u(x)f_{N}(x)-f_{N}(T^{\oplus}(x))\le u(x), so fN(x)≤u(x)+fN(T⊕(x))f_{N}(x)\le u(x)+f_{N}(T^{\oplus}(x)) by the first axiom of Ordered Field. Since μT⊕(x)N∈P2(Rq)\mu^{N}_{T^{\oplus}(x)}\in\mathcal{P}_{2}(\mathbb{R}^{q}) by Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §moment, the triangle inequality The Quadratic Wasserstein Distance is a Metric on the Wasserstein Space §triangle gives

fN(T⊕(x))=W2(μT⊕(x)N,ν)≤W2(μT⊕(x)N,T#ν)+W2(T#ν,ν)=g(x)+c.f_{N}(T^{\oplus}(x))=W_{2}(\mu^{N}_{T^{\oplus}(x)},\nu)\le W_{2}(\mu^{N}_{T^{\oplus}(x)},T_{\#}\nu)+W_{2}(T_{\#}\nu,\nu)=g(x)+c .

Hence 0≤fN(x)≤u(x)+g(x)+c0\le f_{N}(x)\le u(x)+g(x)+c, and by (S) fN(x)2≤(u(x)+g(x)+c)2f_{N}(x)^{2}\le(u(x)+g(x)+c)^{2}.

Step 8 (The first function). Let x∈RqNx\in\mathbb{R}^{qN}. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §distance with x′=T⊕(x)x'=T^{\oplus}(x), u(x)≤W2(μxN,μT⊕(x)N)u(x)\le W_{2}(\mu^{N}_{x},\mu^{N}_{T^{\oplus}(x)}), so by (S) u(x)2≤W2(μxN,μT⊕(x)N)2u(x)^{2}\le W_{2}(\mu^{N}_{x},\mu^{N}_{T^{\oplus}(x)})^{2}. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §lipschitz, ι(N)W2(μxN,μT⊕(x)N)2≤∥x−T⊕(x)∥2\iota(N)W_{2}(\mu^{N}_{x},\mu^{N}_{T^{\oplus}(x)})^{2}\le\lVert x-T^{\oplus}(x)\rVert^{2}, and multiplying by ι(N)−1≥0\iota(N)^{-1}\ge0 (claim 5 of Elementary Arithmetic in an Ordered Field) gives u(x)2≤ι(N)−1∥x−T⊕(x)∥2u(x)^{2}\le\iota(N)^{-1}\lVert x-T^{\oplus}(x)\rVert^{2}. Let g0:Rq→Rqg_{0}:\mathbb{R}^{q}\to\mathbb{R}^{q}, g0(y)=y−T(y)g_{0}(y)=y-T(y); its components are differences of components of the Borel maps id\mathrm{id} and TT, so g0g_{0} is Borel by claim 2 of The Borel Sigma-Algebra of a Euclidean Space as a Product, and Measurability of Projections, Sequentially Continuous Maps, and Open and Closed Sets and claim 2 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, and ∥g0(y)∥2=∥T(y)−y∥2\lVert g_{0}(y)\rVert^{2}=\lVert T(y)-y\rVert^{2}. By Particle Blocks: Linearity, Splitting of Inner Products, Product Maps and Diagonal Shifts §linear, x=[p1(x),…,pN(x)]x=[\mathfrak{p}_{1}(x),\dots,\mathfrak{p}_{N}(x)], and with the definition Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §product-map of T⊕(x)=[T(p1(x)),…,T(pN(x))]T^{\oplus}(x)=[T(\mathfrak{p}_{1}(x)),\dots,T(\mathfrak{p}_{N}(x))] and g0⊕(x)=[g0(p1(x)),…,g0(pN(x))]g_{0}^{\oplus}(x)=[g_{0}(\mathfrak{p}_{1}(x)),\dots,g_{0}(\mathfrak{p}_{N}(x))], the linearity of configurations in the same clause (with t=−1t=-1) gives g0⊕(x)=x−T⊕(x)g_{0}^{\oplus}(x)=x-T^{\oplus}(x). Hence u2≤ι(N)−1∥g0⊕∥2u^{2}\le\iota(N)^{-1}\lVert g_{0}^{\oplus}\rVert^{2} pointwise, the right side being Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions and Particle Blocks: Linearity, Splitting of Inner Products, Product Maps and Diagonal Shifts §product-map. By Tensor Powers and One-Particle Marginals: Particle Laws, Product Integrals, Push-Forwards, Moments, Product Maps and Diagonal Shifts §product-maps with P=PNP=P_{N}, p=qp=q and g=g0g=g_{0}, together with PN[1]=νP_{N}^{[1]}=\nu from Tensor Powers and One-Particle Marginals: Particle Laws, Product Integrals, Push-Forwards, Moments, Product Maps and Diagonal Shifts §marginal-of-tensor,

∫RqN∥g0⊕∥2 dPN=ι(N)∫Rq∥T(y)−y∥2 ν(dy).\int_{\mathbb{R}^{qN}}\lVert g_{0}^{\oplus}\rVert^{2}\,dP_{N}=\iota(N)\int_{\mathbb{R}^{q}}\lVert T(y)-y\rVert^{2}\,\nu(dy).

By claim 1 of Linearity and Monotonicity of the Lebesgue Integral (monotonicity and homogeneity) and Step 3,

E[u2]≤ι(N)−1ι(N)∫Rq∥T(y)−y∥2 ν(dy)≤η2.\mathbb{E}[u^{2}]\le\iota(N)^{-1}\iota(N)\int_{\mathbb{R}^{q}}\lVert T(y)-y\rVert^{2}\,\nu(dy)\le\eta^{2}.

Thus uu is square-integrable and ∥u∥2≤η\lVert u\rVert_{2}\le\eta by (S).

Step 9 (The second function). For i∈[M]i\in[M], by Variance of the Empirical Mass of a Borel Set under a Tensor Power §borel applied with ρ=ν\rho=\nu and B=AiB=A_{i} (so that its cc is our cic_{i}), the map x↦μxN(Ai)x\mapsto\mu^{N}_{x}(A_{i}) is Borel with values in [0,1][0,1], so hih_{i} is Borel by claims 1, 2 and 4 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, with 0≤hi≤10\le h_{i}\le1 (claims 1 and 6 of Properties of the Absolute Value in an Ordered Field, as both μxN(Ai)\mu^{N}_{x}(A_{i}) and cic_{i} lie in [0,1][0,1]). Put ai=∫RqNhi dPNa_{i}=\int_{\mathbb{R}^{qN}}h_{i}\,dP_{N}; by claim 1 of Linearity and Monotonicity of the Lebesgue Integral and (C), 0≤ai≤10\le a_{i}\le1, so aia_{i} is a nonnegative real number. By Variance of the Empirical Mass of a Borel Set under a Tensor Power §deviation, ai2≤ciι(N)−1a_{i}^{2}\le c_{i}\iota(N)^{-1}; since ci≤1c_{i}\le1 and 0≤ι(N)−10\le\iota(N)^{-1}, claim 5 of Elementary Arithmetic in an Ordered Field gives ciι(N)−1≤ι(N)−1c_{i}\iota(N)^{-1}\le\iota(N)^{-1}, and Step 5 gives ι(N)−1<β2\iota(N)^{-1}<\beta^{2}; so ai2<β2a_{i}^{2}<\beta^{2} by claim 2 of Elementary Order Arithmetic in an Ordered Field, and ai<βa_{i}<\beta by (S). Hence 0≤β−ai0\le\beta-a_{i} for every ii (claim 3 of Elementary Arithmetic in an Ordered Field); by claim 5 of Properties of Finite Sums, then its claims 2 and 3 (with λ=−1\lambda=-1), 0≤∑i=1Mβ−∑i=1Mai0\le\sum_{i=1}^{M}\beta-\sum_{i=1}^{M}a_{i}, and ∑i=1Mβ=βm\sum_{i=1}^{M}\beta=\beta m by claim 3 there; so ∑i=1Mai≤βm\sum_{i=1}^{M}a_{i}\le\beta m by claim 3 of Elementary Arithmetic in an Ordered Field.

By Step 6 and claim 1 of Linearity and Monotonicity of the Lebesgue Integral (monotonicity, homogeneity, and additivity extended to the MM summands along the recursion of claim 1 of Properties of Finite Sums),

E[g2]≤D2∑i=1Mai≤D2mβ≤Kβ=η2,\mathbb{E}[g^{2}]\le D^{2}\sum_{i=1}^{M}a_{i}\le D^{2}m\beta\le K\beta=\eta^{2},

using claim 5 of Elementary Arithmetic in an Ordered Field twice (with the nonnegative multipliers D2D^{2} and β\beta, and D2m≤KD^{2}m\le K from Step 5). Thus gg is square-integrable and ∥g∥2≤η\lVert g\rVert_{2}\le\eta by (S).

Step 10 (The constant). By 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 §pushforward with μ=ν\mu=\nu, S=TS=T and the identity in place of its TT, the measure (T,id)#ν(T,\mathrm{id})_{\#}\nu is a coupling of T#νT_{\#}\nu and id#ν=ν\mathrm{id}_{\#}\nu=\nu (the latter because id−1(B)=B\mathrm{id}^{-1}(B)=B, Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward), with quadratic cost ∫Rq∥T(y)−y∥2 ν(dy)≤η2\int_{\mathbb{R}^{q}}\lVert T(y)-y\rVert^{2}\,\nu(dy)\le\eta^{2} (Step 3). By The Quadratic Wasserstein Distance on Euclidean Space §distance, c2≤η2c^{2}\le\eta^{2}, so c≤ηc\le\eta by (S). By (C), E[c2]=c2\mathbb{E}[c^{2}]=c^{2}, so the constant cc is square-integrable and ∥c∥2=c\lVert c\rVert_{2}=c by the uniqueness in Existence and Uniqueness of the Nonnegative Square Root.

Step 11 (Triangle inequality in mean square). By Square-Integrable Random Variables and the Mean-Square Inner Product, u+gu+g and u+g+cu+g+c are square-integrable, and claim 2 of Cauchy-Schwarz and Triangle Inequalities for the Mean-Square Norm, applied twice on (RqN,B(RqN),PN)(\mathbb{R}^{qN},\mathcal{B}(\mathbb{R}^{qN}),P_{N}), gives

∥u+g+c∥2≤∥u+g∥2+∥c∥2≤∥u∥2+∥g∥2+∥c∥2≤η+η+η,\lVert u+g+c\rVert_{2}\le\lVert u+g\rVert_{2}+\lVert c\rVert_{2}\le\lVert u\rVert_{2}+\lVert g\rVert_{2}+\lVert c\rVert_{2}\le\eta+\eta+\eta,

the last step by Steps 8, 9 and 10 and the first axiom of Ordered Field. By Step 7 and claim 1 of Linearity and Monotonicity of the Lebesgue Integral (monotonicity), ϕN(ν)2=∫RqNfN2 dPN≤E[(u+g+c)2]=∥u+g+c∥22\phi_{N}(\nu)^{2}=\int_{\mathbb{R}^{qN}}f_{N}^{2}\,dP_{N}\le\mathbb{E}[(u+g+c)^{2}]=\lVert u+g+c\rVert_{2}^{2}, so ϕN(ν)≤∥u+g+c∥2\phi_{N}(\nu)\le\lVert u+g+c\rVert_{2} by (S). With Step 2 and claim 2 of Elementary Order Arithmetic in an Ordered Field, ϕN(ν)<ε\phi_{N}(\nu)<\varepsilon.

Step 12 (Conclusion). Since 0≤ϕN(ν)0\le\phi_{N}(\nu) (Step 1), ∣ϕN(ν)−0∣=ϕN(ν)|\phi_{N}(\nu)-0|=\phi_{N}(\nu) by Absolute Value in an Ordered Field, so ∣ϕN(ν)−0∣<ε|\phi_{N}(\nu)-0|<\varepsilon for every N∈NN\in\mathbb{N} with N0≤NN_{0}\le N. As ε>0\varepsilon>0 was arbitrary and N0N_{0} was chosen in Step 5 depending only on ε\varepsilon (through η\eta, TT, DD, MM and β\beta), the sequence (ϕN(ν))N∈N(\phi_{N}(\nu))_{N\in\mathbb{N}} converges to 00 in the sense of Limit of a Sequence of Real Numbers. This proves clause 2.

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