TheoremBase

The composite couplings are nearly optimal, so the stability theorem makes the wrapped part of the composite displacement converge to the optimal displacement, and a quantitative gap between a point and its wrapped image near the regular points where the optimal displacement lives shows that unwrapping happens only on a set of vanishing measure.

Proof

Throughout, each result cited is universally quantified over the data appearing in its own statement and is applied to the data named here. Write W=WT(μ,ν)W=W_{\mathbb{T}}(\mu,\nu) and let ιR\iota_{\mathbb{R}} be the canonical map from N\mathbb{N} to R\mathbb{R}. Integrals over Rq\mathbb{R}^{q} are formed in the measure space (Rq,B(Rq),Σn)(\mathbb{R}^{q},\mathcal{B}(\mathbb{R}^{q}),\Sigma_{n}) and integrals over Rd+d\mathbb{R}^{d+d} in (Rd+d,B(Rd+d),ρn)(\mathbb{R}^{d+d},\mathcal{B}(\mathbb{R}^{d+d}),\rho_{n}), for the measures ρn\rho_{n} of Step 1, as in Probability Measures on Euclidean Space and Random Vectors: Standing Notation §measures; by that clause a nonnegative Borel real function is integrated as a [0,∞][0,\infty]-valued map, and for a bounded one this integral is real and equals its integral as an integrable function by claim 6(c) of Borel Measurability and Bounded Integration on a Metric Space, each probability measure being a Borel measure of total mass 11 by Probability Measures on Euclidean Space and Random Vectors: Standing Notation §measures. Composites of Borel maps are Borel by Probability Measures on Euclidean Space and Random Vectors: Standing Notation §borel-maps. For a point uu of Rd\mathbb{R}^{d}, ∥u∥2=∑i=1dui2\lVert u\rVert^{2}=\sum_{i=1}^{d}u_{i}^{2} and ∣ui∣≤∥u∥|u_{i}|\le\lVert u\rVert for every i∈[d]i\in[d], by claims 1 and 4 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n.

Step 1 (The couplings ρn\rho_{n} and the excess ana_{n}). Fix n∈Nn\in\mathbb{N}. The pairing (Xn,Yn):Rq→Rd+d(X_{n},Y_{n}):\mathbb{R}^{q}\to\mathbb{R}^{d+d} 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 pr1∘(Xn,Yn)=Xn\mathrm{pr}_{1}\circ(X_{n},Y_{n})=X_{n}, pr2∘(Xn,Yn)=Yn\mathrm{pr}_{2}\circ(X_{n},Y_{n})=Y_{n} by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §projections. Put ρn=(Xn,Yn)#Σn\rho_{n}=(X_{n},Y_{n})_{\#}\Sigma_{n}, a member of P(Rd+d)\mathcal{P}(\mathbb{R}^{d+d}) by Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward. For B∈B(Rd)B\in\mathcal{B}(\mathbb{R}^{d}), the defining formula of the push-forward in that clause gives ρn(pr1−1(B))=Σn((Xn,Yn)−1(pr1−1(B)))=Σn(Xn−1(B))=μ(B)\rho_{n}(\mathrm{pr}_{1}^{-1}(B))=\Sigma_{n}((X_{n},Y_{n})^{-1}(\mathrm{pr}_{1}^{-1}(B)))=\Sigma_{n}(X_{n}^{-1}(B))=\mu(B), and likewise ρn(pr2−1(B))=ν(B)\rho_{n}(\mathrm{pr}_{2}^{-1}(B))=\nu(B); so ρn∈Π(μ,ν)\rho_{n}\in\Pi(\mu,\nu) by Couplings of Two Probability Measures on Euclidean Space and Their Quadratic Cost §coupling.

Define on Rq\mathbb{R}^{q} the functions

Qn(w)=∥Zn(w)∥2,Pn(w)=∥ϖ(Zn(w))∥2,gn(w)=Qn(w)−Pn(w).Q_{n}(w)=\lVert Z_{n}(w)\rVert^{2},\qquad P_{n}(w)=\lVert\varpi(Z_{n}(w))\rVert^{2},\qquad g_{n}(w)=Q_{n}(w)-P_{n}(w).

They are Borel: ϖ\varpi is Borel by The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §lipschitz, so QnQ_{n} and PnP_{n} are Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions (applied on the measurable space (Rq,B(Rq))(\mathbb{R}^{q},\mathcal{B}(\mathbb{R}^{q})) to ZnZ_{n} and to ϖ∘Zn\varpi\circ Z_{n}), and gng_{n} by claim 2 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions. By The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §range, 0≤Pn≤d/40\le P_{n}\le d/4; by The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §minimal with k=0k=0, ∥ϖ(Zn(w))∥≤∥Zn(w)∥\lVert\varpi(Z_{n}(w))\rVert\le\lVert Z_{n}(w)\rVert, and squaring (both sides being nonnegative) gives Pn≤QnP_{n}\le Q_{n}, that is gn≥0g_{n}\ge0.

Fix w∈Rqw\in\mathbb{R}^{q} and put m=Yn(w)−Xn(w)−Zn(w)m=Y_{n}(w)-X_{n}(w)-Z_{n}(w), which lies in Zd\mathbb{Z}^{d} by hypothesis. Then Yn(w)−Xn(w)=Zn(w)+mY_{n}(w)-X_{n}(w)=Z_{n}(w)+m, so the periodicity ϖ(z+m)=ϖ(z)\varpi(z+m)=\varpi(z) of The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §range and The Wrapped Displacement and the Flat Torus Distance §distance give

dT(Xn(w),Yn(w))=∥ϖ(Yn(w)−Xn(w))∥=∥ϖ(Zn(w))∥,ϖ(Yn(w)−Xn(w))=ϖ(Zn(w)).(1)d_{\mathbb{T}}\bigl(X_{n}(w),Y_{n}(w)\bigr)=\lVert\varpi(Y_{n}(w)-X_{n}(w))\rVert=\lVert\varpi(Z_{n}(w))\rVert,\qquad\varpi\bigl(Y_{n}(w)-X_{n}(w)\bigr)=\varpi\bigl(Z_{n}(w)\bigr). \tag{1}

The integrand of the torus cost is a bounded nonnegative Borel function on Rd+d\mathbb{R}^{d+d}; by the change-of-variables formula and (1)(1),

IT(ρn)=∫RqdT(Xn(w),Yn(w))2 Σn(dw)=∫RqPn dΣn.I_{\mathbb{T}}(\rho_{n})=\int_{\mathbb{R}^{q}}d_{\mathbb{T}}\bigl(X_{n}(w),Y_{n}(w)\bigr)^{2}\,\Sigma_{n}(dw)=\int_{\mathbb{R}^{q}}P_{n}\,d\Sigma_{n}.

By hypothesis ∫Qn dΣn<∞\int Q_{n}\,d\Sigma_{n}<\infty. Since Qn=gn+PnQ_{n}=g_{n}+P_{n} with both summands nonnegative Borel, claim 1 of Linearity and Monotonicity of the Lebesgue Integral gives ∫Qn dΣn=∫gn dΣn+∫Pn dΣn\int Q_{n}\,d\Sigma_{n}=\int g_{n}\,d\Sigma_{n}+\int P_{n}\,d\Sigma_{n}, so both integrals on the right are real and

an:=∫Rqgn dΣn=∫RqQn dΣn−IT(ρn)≥0,IT(ρn)≤∫RqQn dΣn.a_{n}:=\int_{\mathbb{R}^{q}}g_{n}\,d\Sigma_{n}=\int_{\mathbb{R}^{q}}Q_{n}\,d\Sigma_{n}-I_{\mathbb{T}}(\rho_{n})\ge0,\qquad I_{\mathbb{T}}(\rho_{n})\le\int_{\mathbb{R}^{q}}Q_{n}\,d\Sigma_{n}.

By Probability Measures on the Flat Torus, the Torus Cost of a Coupling, the Torus Wasserstein Distance and Optimal Couplings §distance, WW is the nonnegative square root of the greatest lower bound of {IT(γ):γ∈Π(μ,ν)}\{I_{\mathbb{T}}(\gamma):\gamma\in\Pi(\mu,\nu)\}, so W2≤IT(ρn)W^{2}\le I_{\mathbb{T}}(\rho_{n}).

Now let ε\varepsilon be a positive real number. By hypothesis, applied with ε/2\varepsilon/2, there is N∈NN\in\mathbb{N} with ∫Qn dΣn≤W2+ε/2\int Q_{n}\,d\Sigma_{n}\le W^{2}+\varepsilon/2 for every n≥Nn\ge N; for such nn,

W2≤IT(ρn)≤W2+ε2,0≤an≤W2+ε2−W2<ε.W^{2}\le I_{\mathbb{T}}(\rho_{n})\le W^{2}+\tfrac{\varepsilon}{2},\qquad 0\le a_{n}\le W^{2}+\tfrac{\varepsilon}{2}-W^{2}<\varepsilon .

So ∣IT(ρn)−W2∣<ε|I_{\mathbb{T}}(\rho_{n})-W^{2}|<\varepsilon and ∣an−0∣<ε|a_{n}-0|<\varepsilon for n≥Nn\ge N, and by Limit of a Sequence of Real Numbers the sequence (IT(ρn))n∈N(I_{\mathbb{T}}(\rho_{n}))_{n\in\mathbb{N}} converges to W2W^{2} and (an)n∈N(a_{n})_{n\in\mathbb{N}} converges to 00.

Step 2 (The wrapped part converges). As μ\mu is absolutely continuous, the pair (μ,ν)(\mu,\nu) is uniquely mapped on the torus by McCann's Theorem on the Flat Torus: Optimal Couplings out of an Absolutely Continuous Measure are Induced by a Unique Map with a Periodic Potential §map. So Stability of the Optimal Map and of the Displacement on the Torus Along Couplings of Nearly Optimal Cost §displacement applies to μ\mu, ν\nu, the optimal map TT and the sequence (ρn)n∈N(\rho_{n})_{n\in\mathbb{N}} in Π(μ,ν)\Pi(\mu,\nu), whose costs converge to W2W^{2} by Step 1: the sequence of integrals over Rd+d\mathbb{R}^{d+d} of the bounded nonnegative Borel function u↦∥ϖ(pr2(u)−pr1(u))−vT(pr1(u))∥2u\mapsto\lVert\varpi(\mathrm{pr}_{2}(u)-\mathrm{pr}_{1}(u))-v_{T}(\mathrm{pr}_{1}(u))\rVert^{2} against ρn\rho_{n} converges to 00. By the change-of-variables formula and (1)(1) this integral equals

bn:=∫Rqfn dΣn,fn(w)=∥ϖ(Zn(w))−vT(Xn(w))∥2,b_{n}:=\int_{\mathbb{R}^{q}}f_{n}\,d\Sigma_{n},\qquad f_{n}(w)=\bigl\lVert\varpi(Z_{n}(w))-v_{T}(X_{n}(w))\bigr\rVert^{2},

so (bn)n∈N(b_{n})_{n\in\mathbb{N}} converges to 00. Here fnf_{n} is Borel by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions, vTv_{T} being Borel by Optimal Maps on the Torus, Uniquely Mapped Pairs and the Displacement Field of a Map §displacement, and 0≤fn≤d0\le f_{n}\le d by the first inequality of Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions and The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §range, recalling vT(x)=ϖ(T(x)−x)v_{T}(x)=\varpi(T(x)-x).

Step 3 (A gap for unwrapped points). Let rr be the function of The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §regular. Let z∈Rdz\in\mathbb{R}^{d}, put t=ϖ(z)t=\varpi(z) and k=z−tk=z-t, which lies in Zd\mathbb{Z}^{d} by The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §range, and suppose k≠0k\ne0. We show

∥z∥2−∥t∥2≥4 r(z)2.(2)\lVert z\rVert^{2}-\lVert t\rVert^{2}\ge4\,r(z)^{2}. \tag{2}

We have ∥z∥2−∥t∥2=∑i=1d((ti+ki)2−ti2)\lVert z\rVert^{2}-\lVert t\rVert^{2}=\sum_{i=1}^{d}\bigl((t_{i}+k_{i})^{2}-t_{i}^{2}\bigr). Fix i∈[d]i\in[d]. By The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §range, −12≤ti<12-\tfrac12\le t_{i}<\tfrac12, so ∣ti∣≤12|t_{i}|\le\tfrac12 by claim 6 of Properties of the Absolute Value in an Ordered Field; and by The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §regular, r(z)≥0r(z)\ge0 and, r(z)r(z) being the least of the numbers 12−∣tj∣\tfrac12-|t_{j}|, r(z)≤12−∣ti∣r(z)\le\tfrac12-|t_{i}|. If ki=0k_{i}=0, the iith summand is 00. If ki≠0k_{i}\ne0, then kik_{i} is a nonzero integer, so ∣ki∣≥1|k_{i}|\ge1, and by claims 3 and 7 of Properties of the Absolute Value in an Ordered Field,

∣ti+ki∣≥∣ki∣−∣ti∣≥1−∣ti∣=∣ti∣+2(12−∣ti∣)≥∣ti∣+2r(z)≥0.|t_{i}+k_{i}|\ge|k_{i}|-|t_{i}|\ge1-|t_{i}|=|t_{i}|+2\bigl(\tfrac12-|t_{i}|\bigr)\ge|t_{i}|+2r(z)\ge0 .

Squaring these nonnegative numbers and using ∣a∣2=a2|a|^{2}=a^{2} (claim 4 there),

(ti+ki)2−ti2≥(∣ti∣+2r(z))2−ti2=4∣ti∣ r(z)+4r(z)2≥4r(z)2.(t_{i}+k_{i})^{2}-t_{i}^{2}\ge\bigl(|t_{i}|+2r(z)\bigr)^{2}-t_{i}^{2}=4|t_{i}|\,r(z)+4r(z)^{2}\ge4r(z)^{2}.

Thus every summand is nonnegative, and since k≠0k\ne0 some kik_{i} is nonzero, whose summand is at least 4r(z)24r(z)^{2}; this proves (2)(2).

Step 4 (The regularity radius along TT). By McCann's Theorem on the Flat Torus: Optimal Couplings out of an Absolutely Continuous Measure are Induced by a Unique Map with a Periodic Potential §potential, applied to the optimal map TT, there is D∈B(Rd)D\in\mathcal{B}(\mathbb{R}^{d}) with μ(D)=1\mu(D)=1 such that T(x)−xT(x)-x is regular for every x∈Dx\in D. Put ρ(x)=r(T(x)−x)\rho(x)=r(T(x)-x) for x∈Rdx\in\mathbb{R}^{d}. The map ρ\rho is Borel: rr is Borel by The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §regular, and T−idT-\mathrm{id} is Borel as recorded in Optimal Maps on the Torus, Uniquely Mapped Pairs and the Displacement Field of a Map §displacement. By The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §regular, ρ(x)>0\rho(x)>0 for x∈Dx\in D. Since vT(x)=ϖ(T(x)−x)v_{T}(x)=\varpi(T(x)-x) by Optimal Maps on the Torus, Uniquely Mapped Pairs and the Displacement Field of a Map §displacement, ρ(x)\rho(x) is the least of the numbers 12−∣vT(x)j∣\tfrac12-|v_{T}(x)_{j}|, j∈[d]j\in[d].

We record: for z,x∈Rdz,x\in\mathbb{R}^{d}, with t=ϖ(z)t=\varpi(z) and e=t−vT(x)e=t-v_{T}(x),

r(z)≥ρ(x)−∥e∥.(3)r(z)\ge\rho(x)-\lVert e\rVert. \tag{3}

Indeed, for each i∈[d]i\in[d], claim 5 of Properties of the Absolute Value in an Ordered Field and the coordinate bound give ∣ti∣≤∣vT(x)i∣+∣ei∣≤∣vT(x)i∣+∥e∥|t_{i}|\le|v_{T}(x)_{i}|+|e_{i}|\le|v_{T}(x)_{i}|+\lVert e\rVert, hence 12−∣ti∣≥12−∣vT(x)i∣−∥e∥≥ρ(x)−∥e∥\tfrac12-|t_{i}|\ge\tfrac12-|v_{T}(x)_{i}|-\lVert e\rVert\ge\rho(x)-\lVert e\rVert; and r(z)r(z) is one of the numbers 12−∣ti∣\tfrac12-|t_{i}|.

For m∈Nm\in\mathbb{N} put ηm=ιR(m)−1\eta_{m}=\iota_{\mathbb{R}}(m)^{-1}, a positive real by claim 3 of Properties of the Canonical Map from the Natural Numbers to an Ordered Field, and

Am={x∈D:2ηm<ρ(x)},A_{m}=\{x\in D:2\eta_{m}<\rho(x)\},

which belongs to B(Rd)\mathcal{B}(\mathbb{R}^{d}) because {x:2ηm<ρ(x)}\{x:2\eta_{m}<\rho(x)\} does, by the criterion of Measure Spaces and the Lebesgue Integral: Standing Notation §measurable for the measurable space (Rd,B(Rd))(\mathbb{R}^{d},\mathcal{B}(\mathbb{R}^{d})).

Step 5 (A pointwise bound). Fix m,n∈Nm,n\in\mathbb{N}, write η=ηm\eta=\eta_{m}, A=AmA=A_{m}, C=4+2d η−2C=4+2d\,\eta^{-2}, and put B=Xn−1(Rd∖A)∈B(Rq)B=X_{n}^{-1}(\mathbb{R}^{d}\setminus A)\in\mathcal{B}(\mathbb{R}^{q}) (XnX_{n} being Borel) and

Fn(w)=∥Zn(w)−vT(Xn(w))∥2(w∈Rq),F_{n}(w)=\bigl\lVert Z_{n}(w)-v_{T}(X_{n}(w))\bigr\rVert^{2}\qquad(w\in\mathbb{R}^{q}),

a Borel function by Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions. We show that for every w∈Rqw\in\mathbb{R}^{q}

Fn(w)≤C gn(w)+C fn(w)+2d 1B(w).(4)F_{n}(w)\le C\,g_{n}(w)+C\,f_{n}(w)+2d\,\mathbf{1}_{B}(w). \tag{4}

Fix ww and write z=Zn(w)z=Z_{n}(w), x=Xn(w)x=X_{n}(w), t=ϖ(z)t=\varpi(z), k=z−t∈Zdk=z-t\in\mathbb{Z}^{d} and e=t−vT(x)e=t-v_{T}(x), so that gn(w)=∥z∥2−∥t∥2g_{n}(w)=\lVert z\rVert^{2}-\lVert t\rVert^{2}, fn(w)=∥e∥2f_{n}(w)=\lVert e\rVert^{2} and z−vT(x)=k+ez-v_{T}(x)=k+e. By the first inequality of Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §functions, applied to kk and −e-e (note ∥−e∥=∥e∥\lVert-e\rVert=\lVert e\rVert by claim 5 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n),

Fn(w)≤2∥k∥2+2fn(w).F_{n}(w)\le2\lVert k\rVert^{2}+2f_{n}(w).

All terms on the right of (4)(4) are nonnegative, gn≥0g_{n}\ge0 by Step 1, and C≥2C\ge2. If k=0k=0, then Fn(w)≤2fn(w)≤Cfn(w)F_{n}(w)\le2f_{n}(w)\le C f_{n}(w) and (4)(4) holds. Let k≠0k\ne0. The same inequality, applied to zz and tt, together with ∥t∥2≤d/4\lVert t\rVert^{2}\le d/4 from The Flat Torus Distance: Minimality of the Wrapped Displacement, Periodicity, the Metric on the Unit Cell and the Lipschitz Bound §range, gives ∥k∥2≤2∥z∥2+2∥t∥2=2gn(w)+4∥t∥2≤2gn(w)+d\lVert k\rVert^{2}\le2\lVert z\rVert^{2}+2\lVert t\rVert^{2}=2g_{n}(w)+4\lVert t\rVert^{2}\le2g_{n}(w)+d, hence

Fn(w)≤4gn(w)+2fn(w)+2d.F_{n}(w)\le4g_{n}(w)+2f_{n}(w)+2d .

We bound 11 by one of three nonnegative quantities. (i) If x∉Ax\notin A, then w∈Bw\in B and 1=1B(w)1=\mathbf{1}_{B}(w). (ii) If x∈Ax\in A and η≤∥e∥\eta\le\lVert e\rVert, then squaring gives η2≤fn(w)\eta^{2}\le f_{n}(w), so 1≤η−2fn(w)1\le\eta^{-2}f_{n}(w). (iii) If x∈Ax\in A and ∥e∥<η\lVert e\rVert<\eta, then 2η<ρ(x)2\eta<\rho(x), so (3)(3) gives r(z)>2η−η=η>0r(z)>2\eta-\eta=\eta>0; as k≠0k\ne0, (2)(2) gives gn(w)≥4r(z)2≥4η2g_{n}(w)\ge4r(z)^{2}\ge4\eta^{2}, so 1≤14η−2gn(w)1\le\tfrac14\eta^{-2}g_{n}(w). In every case 1≤1B(w)+η−2fn(w)+14η−2gn(w)1\le\mathbf{1}_{B}(w)+\eta^{-2}f_{n}(w)+\tfrac14\eta^{-2}g_{n}(w), and therefore

Fn(w)≤(4+12d η−2)gn(w)+(2+2d η−2)fn(w)+2d 1B(w),F_{n}(w)\le\bigl(4+\tfrac12d\,\eta^{-2}\bigr)g_{n}(w)+\bigl(2+2d\,\eta^{-2}\bigr)f_{n}(w)+2d\,\mathbf{1}_{B}(w),

which implies (4)(4) because both coefficients are at most CC and gn(w),fn(w)≥0g_{n}(w),f_{n}(w)\ge0.

The right side of (4)(4) is a sum of nonnegative Borel functions (claim 1 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions for the indicator). Integrating (4)(4) against Σn\Sigma_{n} with claim 1 of Linearity and Monotonicity of the Lebesgue Integral, and using The Integral of an Indicator Function is the Measure of the Set together with Σn(Xn−1(Rd∖A))=((Xn)#Σn)(Rd∖A)=μ(Rd∖A)\Sigma_{n}(X_{n}^{-1}(\mathbb{R}^{d}\setminus A))=((X_{n})_{\#}\Sigma_{n})(\mathbb{R}^{d}\setminus A)=\mu(\mathbb{R}^{d}\setminus A) from Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward, we obtain for all m,n∈Nm,n\in\mathbb{N}

0≤cn:=∫Rq∥Zn−vT∘Xn∥2 dΣn≤(4+2d ηm−2)(an+bn)+2d μ(Rd∖Am).(5)0\le c_{n}:=\int_{\mathbb{R}^{q}}\bigl\lVert Z_{n}-v_{T}\circ X_{n}\bigr\rVert^{2}\,d\Sigma_{n}\le\bigl(4+2d\,\eta_{m}^{-2}\bigr)(a_{n}+b_{n})+2d\,\mu(\mathbb{R}^{d}\setminus A_{m}). \tag{5}

In particular each cnc_{n} is a real number.

Step 6 (The exceptional set is small). By claims 1 and 3 of Properties of the Canonical Map from the Natural Numbers to an Ordered Field, 0<ιR(m)<ιR(m)+1=ιR(m+1)0<\iota_{\mathbb{R}}(m)<\iota_{\mathbb{R}}(m)+1=\iota_{\mathbb{R}}(m+1), so ηm+1≤ηm\eta_{m+1}\le\eta_{m} by Order Reversal under Reciprocals, and Summability of the Reciprocals of the Squares §reciprocal, applied with a=ιR(m)a=\iota_{\mathbb{R}}(m) and b=ιR(m+1)b=\iota_{\mathbb{R}}(m+1); therefore Am⊆Am+1A_{m}\subseteq A_{m+1}. Every AmA_{m} is contained in DD; conversely, for x∈Dx\in D one has ρ(x)/2>0\rho(x)/2>0 (Step 4), and claim 3 of The Archimedean Property of the Real Numbers gives l∈Nl\in\mathbb{N} with 0<ιR(l)−1<ρ(x)/20<\iota_{\mathbb{R}}(l)^{-1}<\rho(x)/2, so x∈Alx\in A_{l}. Hence ⋃mAm=D\bigcup_{m}A_{m}=D. Each μ(Am)\mu(A_{m}) is a real number at most μ(Rd)=1\mu(\mathbb{R}^{d})=1, by claim 2 of Basic Properties of a Measure, so claim 5 there (continuity from below) shows that (μ(Am))m(\mu(A_{m}))_{m} converges to μ(D)=1\mu(D)=1; and μ(Rd∖Am)=1−μ(Am)\mu(\mathbb{R}^{d}\setminus A_{m})=1-\mu(A_{m}) by claim 3 there. Hence (μ(Rd∖Am))m∈N(\mu(\mathbb{R}^{d}\setminus A_{m}))_{m\in\mathbb{N}} converges to 00.

Step 7 (Conclusion). Let ε\varepsilon be a positive real number. By Step 6 choose m∈Nm\in\mathbb{N} with μ(Rd∖Am)<ε/(4d)\mu(\mathbb{R}^{d}\setminus A_{m})<\varepsilon/(4d), and put C=4+2d ηm−2C=4+2d\,\eta_{m}^{-2}, a positive real. By Steps 1 and 2 choose N1,N2∈NN_{1},N_{2}\in\mathbb{N} with an<ε/(4C)a_{n}<\varepsilon/(4C) for every n≥N1n\ge N_{1} and bn<ε/(4C)b_{n}<\varepsilon/(4C) for every n≥N2n\ge N_{2}, and let NN be the larger of N1N_{1} and N2N_{2}. The order of choice is ε\varepsilon, then mm, then N1N_{1} and N2N_{2}. For every n≥Nn\ge N, (5)(5) gives

∣cn−0∣=cn<C(ε4C+ε4C)+2d⋅ε4d=ε.|c_{n}-0|=c_{n}<C\Bigl(\frac{\varepsilon}{4C}+\frac{\varepsilon}{4C}\Bigr)+2d\cdot\frac{\varepsilon}{4d}=\varepsilon .

By Limit of a Sequence of Real Numbers the sequence (cn)n∈N(c_{n})_{n\in\mathbb{N}} converges to 00, which is claim 1.

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