TheoremBase

Both clauses produce, for every epsilon, finite sets FkF_k whose closed 2/k-neighbourhoods CkC_k carry all but epsilon 2^{-k} of every measure; the intersection of the CkC_k is closed and totally bounded, hence compact. For Cauchy sequences the CkC_k come from Ulam's theorem on finitely many terms and an optimal coupling with Markov's inequality for the rest; for weakly convergent sequences they come from Ulam's theorem for the limit, the portmanteau inequality for open sets, and Ulam's theorem for finitely many terms.

Proof

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

Throughout, (X,d)(X,d) is complete and separable by Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §space, every member of P(X)\mathcal{P}(X) is a Borel measure of total mass 1<∞1<\infty, and so every ν∈P(X)\nu\in\mathcal{P}(X) satisfies the hypotheses of Ulam's Theorem: a Finite Borel Measure on a Complete Separable Metric Space is Tight §tight. Open balls are written B(a,r)B(a,r) and closed balls Bˉ(a,r)={x∈X:d(x,a)≤r}\bar{B}(a,r)=\{x\in X:d(x,a)\le r\}, as in Closed Ball in a Metric Space. Measure-theoretic facts (monotonicity, ν(X∖E)=1−ν(E)\nu(X\setminus E)=1-\nu(E) for ν∈P(X)\nu\in\mathcal{P}(X), and countable subadditivity, applied to two sets by padding with empty sets) are Basic Properties of a Measure §monotone, Basic Properties of a Measure §differences and Basic Properties of a Measure §subadditivity. Finite unions of finite sets are finite by Sums over Finite Index Sets: Finite Unions, Disjoint Unions, Vanishing Terms, Dependent Pairs, Conjugation and the Modulus §finite-union, a compact subset KK of (X,d)(X,d) and its complement X∖KX\setminus K are Borel by Compact Subsets of a Metric Space are Closed and Borel §borel, so that ν(K)\nu(K) and ν(X∖K)\nu(X\setminus K) are defined for ν∈P(X)\nu\in\mathcal{P}(X), and such a KK is totally bounded by A Compact Subset of a Metric Space is Totally Bounded, so that for every real r>0r>0 there is a finite F⊆XF\subseteq X with K⊆⋃a∈FB(a,r)K\subseteq\bigcup_{a\in F}B(a,r) by Totally Bounded Subset of a Metric Space.

Step 0 (a compact set built from finite sets). Let Fk⊆XF_{k}\subseteq X be a finite set for every k∈Nk\in\mathbb{N}, and put

Ck=⋃a∈FkBˉ(a,2/k),A=⋂k∈NCkC_{k}=\bigcup_{a\in F_{k}}\bar{B}(a,2/k),\qquad A=\bigcap_{k\in\mathbb{N}}C_{k}

(with Ck=∅C_{k}=\varnothing if Fk=∅F_{k}=\varnothing). Each closed ball is closed by claim 3 of Elementary Properties of the Closed Ball in a Metric Space, so each CkC_{k} is closed by claims 1 and 2 of Complements, Unions and Intersections of Closed Sets in a Topological Space, and AA is closed by claim 3 there; hence CkC_{k} and X∖CkX\setminus C_{k} are Borel by claim 1 of Borel Measurability and Bounded Integration on a Metric Space. The set AA is totally bounded: given a real r>0r>0, choose k∈Nk\in\mathbb{N} with 3/k<r3/k<r; then A⊆Ck⊆⋃a∈FkB(a,r)A\subseteq C_{k}\subseteq\bigcup_{a\in F_{k}}B(a,r), because d(x,a)≤2/k<rd(x,a)\le2/k<r, and FkF_{k} is finite, so Totally Bounded Subset of a Metric Space applies. Since (X,d)(X,d) is complete, AA is compact by A Closed Totally Bounded Subset of a Complete Metric Space is Compact §compact. Finally X∖A=⋃k(X∖Ck)X\setminus A=\bigcup_{k}(X\setminus C_{k}), so for every ν∈P(X)\nu\in\mathcal{P}(X) countable subadditivity gives

ν(X∖A)≤∑k∈Nν(X∖Ck).(0)\nu(X\setminus A)\le\sum_{k\in\mathbb{N}}\nu(X\setminus C_{k}).\tag{0}

Step 1 (clause 1: choices). Let (μm)m∈N(\mu_{m})_{m\in\mathbb{N}} be a Cauchy sequence in (P2(X),W2)(\mathcal{P}_{2}(X),W_{2}) and fix a real ε>0\varepsilon>0. For j∈Nj\in\mathbb{N} put δj=ε2−j−1\delta_{j}=\varepsilon2^{-j-1}. The choices are made in the following order, for each j∈Nj\in\mathbb{N}: first NjN_{j}, then the compact sets Kj,iK_{j,i}, then the finite sets Fj,iF_{j,i}. By Cauchy Sequence in a Metric Space, applied with the positive real j−1δjj^{-1}\sqrt{\delta_{j}} (the square root of Existence and Uniqueness of the Nonnegative Square Root), choose Nj∈NN_{j}\in\mathbb{N} with W2(μm,μℓ)<j−1δjW_{2}(\mu_{m},\mu_{\ell})<j^{-1}\sqrt{\delta_{j}} for all m,ℓ≥Njm,\ell\ge N_{j}. For each i∈[Nj]i\in[N_{j}] choose, by Ulam's Theorem: a Finite Borel Measure on a Complete Separable Metric Space is Tight §tight, a compact Kj,i⊆XK_{j,i}\subseteq X with μi(X∖Kj,i)≤δj\mu_{i}(X\setminus K_{j,i})\le\delta_{j}, and then a finite Fj,i⊆XF_{j,i}\subseteq X with Kj,i⊆⋃a∈Fj,iB(a,1/j)K_{j,i}\subseteq\bigcup_{a\in F_{j,i}}B(a,1/j). Put Fj=⋃i∈[Nj]Fj,iF_{j}=\bigcup_{i\in[N_{j}]}F_{j,i}, a finite set, and let CjC_{j} and AA be as in Step 0.

Step 2 (clause 1: the early terms). Let i≤Nji\le N_{j}. Every point of Kj,iK_{j,i} lies in some B(a,1/j)⊆Bˉ(a,2/j)B(a,1/j)\subseteq\bar{B}(a,2/j) with a∈Fj,i⊆Fja\in F_{j,i}\subseteq F_{j}, so Kj,i⊆CjK_{j,i}\subseteq C_{j} and μi(X∖Cj)≤μi(X∖Kj,i)≤δj\mu_{i}(X\setminus C_{j})\le\mu_{i}(X\setminus K_{j,i})\le\delta_{j}.

Step 3 (clause 1: the late terms). Let n>Njn>N_{j} and write K=Kj,NjK=K_{j,N_{j}}. Both μNj\mu_{N_{j}} and μn\mu_{n} lie in P2(X)\mathcal{P}_{2}(X), so by Existence of an Optimal Coupling of Two Borel Probability Measures with Finite Second Moment on a Hilbert Space §existence there is π∈Π(μNj,μn)\pi\in\Pi(\mu_{N_{j}},\mu_{n}) with I(π)=W2(μNj,μn)2<δj/j2I(\pi)=W_{2}(\mu_{N_{j}},\mu_{n})^{2}<\delta_{j}/j^{2}, the inequality by Step 1 and claim 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field. Let φ(z)=∣π1(z)−π2(z)∣2\varphi(z)=|\pi_{1}(z)-\pi_{2}(z)|^{2}, a nonnegative Borel function on X×XX\times X with I(π)=∫φ dπI(\pi)=\int\varphi\,d\pi, by Couplings of Two Borel Probability Measures on a Hilbert Space and Their Quadratic Cost §cost. By The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §markov, applied on (X×X,B(X×X),π)(X\times X,\mathcal{B}(X\times X),\pi) with f=φf=\varphi and t=1/j2t=1/j^{2}, the set E={z:1/j2≤φ(z)}E=\{z:1/j^{2}\le\varphi(z)\} is Borel and π(E)≤j2I(π)<δj\pi(E)\le j^{2}I(\pi)<\delta_{j}.

We claim π2−1(X∖Cj)⊆π1−1(X∖K)∪E\pi_{2}^{-1}(X\setminus C_{j})\subseteq\pi_{1}^{-1}(X\setminus K)\cup E. Let z∈X×Xz\in X\times X with π1(z)∈K\pi_{1}(z)\in K and z∉Ez\notin E. Then d(π1(z),π2(z))2=φ(z)<1/j2d(\pi_{1}(z),\pi_{2}(z))^{2}=\varphi(z)<1/j^{2}, so d(π1(z),π2(z))<1/jd(\pi_{1}(z),\pi_{2}(z))<1/j by claim 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field; and π1(z)∈B(a,1/j)\pi_{1}(z)\in B(a,1/j) for some a∈Fj,Nj⊆Fja\in F_{j,N_{j}}\subseteq F_{j}, by Step 1. By the triangle inequality of the metric dd (The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §metric), d(a,π2(z))<2/jd(a,\pi_{2}(z))<2/j, so π2(z)∈Cj\pi_{2}(z)\in C_{j}. This proves the claim.

By the marginal conditions of Couplings of Two Borel Probability Measures on a Hilbert Space and Their Quadratic Cost §coupling, the claim, monotonicity and subadditivity,

μn(X∖Cj)=π(π2−1(X∖Cj))≤π(π1−1(X∖K))+π(E)≤μNj(X∖K)+δj≤2δj,\mu_{n}(X\setminus C_{j})=\pi\bigl(\pi_{2}^{-1}(X\setminus C_{j})\bigr)\le\pi\bigl(\pi_{1}^{-1}(X\setminus K)\bigr)+\pi(E)\le\mu_{N_{j}}(X\setminus K)+\delta_{j}\le2\delta_{j},

the last step by the choice of K=Kj,NjK=K_{j,N_{j}} in Step 1.

Step 4 (clause 1: conclusion). By Steps 2 and 3, μn(X∖Cj)≤2δj=ε2−j\mu_{n}(X\setminus C_{j})\le2\delta_{j}=\varepsilon2^{-j} for all n,j∈Nn,j\in\mathbb{N}. By Step 0, AA is compact and, by (0), μn(X∖A)≤∑jε2−j=ε\mu_{n}(X\setminus A)\le\sum_{j}\varepsilon2^{-j}=\varepsilon for every n∈Nn\in\mathbb{N}. As ε>0\varepsilon>0 was arbitrary, the set {μn:n∈N}\{\mu_{n}:n\in\mathbb{N}\} is tight by Tight Family of Borel Measures on a Metric Space §tight, that is, (μn)(\mu_{n}) is tight by Tight Family of Borel Measures on a Metric Space §sequence.

Step 5 (clause 2: choices). Let (μj)j∈N(\mu_{j})_{j\in\mathbb{N}} in P(X)\mathcal{P}(X) converge weakly to μ∈P(X)\mu\in\mathcal{P}(X); we index the sequence by nn, that is, we write μn\mu_{n} for the nn-th term, so that the sequence is (μn)n∈N(\mu_{n})_{n\in\mathbb{N}} (the letter jj is not used for it below). Fix a real ε>0\varepsilon>0 and put δk=ε2−k\delta_{k}=\varepsilon2^{-k} for k∈Nk\in\mathbb{N}. For each k∈Nk\in\mathbb{N} the choices are made in the order: KK, FF, nkn_{k}, then Kk,nK_{k,n} and Fk,nF_{k,n} for n<nkn<n_{k}. By Ulam's Theorem: a Finite Borel Measure on a Complete Separable Metric Space is Tight §tight choose a compact K⊆XK\subseteq X with μ(X∖K)≤δk/2\mu(X\setminus K)\le\delta_{k}/2, and then a finite F⊆XF\subseteq X with K⊆GK\subseteq G, where G=⋃a∈FB(a,1/k)G=\bigcup_{a\in F}B(a,1/k). Each open ball is open by Open Ball in a Metric Space is Open, so GG is open, the open sets forming a topology by Metric Open Sets Form a Topology, hence Borel by claim 1 of Borel Measurability and Bounded Integration on a Metric Space. Then μ(G)≥μ(K)=1−μ(X∖K)>1−δk\mu(G)\ge\mu(K)=1-\mu(X\setminus K)>1-\delta_{k}. The set XX is nonempty, and members of P(X)\mathcal{P}(X) are probability measures on (X,B(X))(X,\mathcal{B}(X)), so claim 3 of Portmanteau Theorem on a Metric Space gives 1−δk<μ(G)≤lim inf⁡nμn(G)1-\delta_{k}<\mu(G)\le\liminf_{n}\mu_{n}(G), the sequence (μn(G))(\mu_{n}(G)) being bounded by 11. By Limit Inferior of a Bounded Sequence of Real Numbers this limit inferior is the least upper bound of the numbers inf⁡{μm(G):m≥n}\inf\{\mu_{m}(G):m\ge n\}, so 1−δk1-\delta_{k} is not an upper bound of them: choose nk∈Nn_{k}\in\mathbb{N} with inf⁡{μm(G):m≥nk}>1−δk\inf\{\mu_{m}(G):m\ge n_{k}\}>1-\delta_{k}. Hence μn(X∖G)=1−μn(G)<δk\mu_{n}(X\setminus G)=1-\mu_{n}(G)<\delta_{k} for every n≥nkn\ge n_{k}. For each of the finitely many n∈Nn\in\mathbb{N} with n<nkn<n_{k}, choose by Ulam's Theorem: a Finite Borel Measure on a Complete Separable Metric Space is Tight §tight a compact Kk,nK_{k,n} with μn(X∖Kk,n)≤δk\mu_{n}(X\setminus K_{k,n})\le\delta_{k}, and then a finite Fk,nF_{k,n} with Kk,n⊆⋃a∈Fk,nB(a,1/k)K_{k,n}\subseteq\bigcup_{a\in F_{k,n}}B(a,1/k). Let FkF_{k} be the union of FF and of the sets Fk,nF_{k,n}, n<nkn<n_{k}, a finite set, and let CkC_{k} and AA be as in Step 0.

Step 6 (clause 2: conclusion). Since B(a,1/k)⊆Bˉ(a,2/k)B(a,1/k)\subseteq\bar{B}(a,2/k), one has G⊆CkG\subseteq C_{k} and Kk,n⊆CkK_{k,n}\subseteq C_{k} for n<nkn<n_{k}. Hence, by monotonicity and Step 5, μn(X∖Ck)≤μn(X∖G)<δk\mu_{n}(X\setminus C_{k})\le\mu_{n}(X\setminus G)<\delta_{k} for n≥nkn\ge n_{k}, and μn(X∖Ck)≤μn(X∖Kk,n)≤δk\mu_{n}(X\setminus C_{k})\le\mu_{n}(X\setminus K_{k,n})\le\delta_{k} for n<nkn<n_{k}. By Step 0, AA is compact and, by (0), μn(X∖A)≤∑kε2−k=ε\mu_{n}(X\setminus A)\le\sum_{k}\varepsilon2^{-k}=\varepsilon for every n∈Nn\in\mathbb{N}. As in Step 4, (μn)(\mu_{n}) is tight by Tight Family of Borel Measures on a Metric Space §tight and Tight Family of Borel Measures on a Metric Space §sequence.

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