TheoremBase

Tightness gives increasing compact sets KiK_i carrying all but 1/(i+1) of every measure; the normalised restrictions to each KiK_i are extracted weakly convergent by compactness on KiK_i, and a diagonal argument makes one subsequence work for all i. The extended limits increase setwise in i (via Lipschitz approximation of indicators), their supremum is a probability measure within 1/(i+1) of the i-th limit, and a three-term estimate gives weak convergence.

Proof

Each result cited below is universally quantified over the data in its own statement and is applied with the data named at the point of citation.

Throughout, Td\mathcal{T}_{d} is the collection of subsets of XX open in (X,d)(X,d), B(X)\mathcal{B}(X) is the Borel σ\sigma-algebra of (X,d)(X,d), dR(s,t)=∣s−t∣d_{\mathbb{R}}(s,t)=|s-t| is the absolute-value metric on R\mathbb{R}, whose Borel σ\sigma-algebra is the Borel σ\sigma-algebra B(R)\mathcal{B}(\mathbb{R}) of the real line by claim 2 of Borel Measurability and Bounded Integration on a Metric Space, and "measurable" for a real function on a metric space means measurable with respect to its Borel σ\sigma-algebra and B(R)\mathcal{B}(\mathbb{R}). For a set A⊆XA\subseteq X, dAd_{A} is the restriction of dd to AA, a metric on AA by claim 1 of The Restriction of a Metric to a Subset Induces the Subspace Topology, and B(A)\mathcal{B}(A) is the Borel σ\sigma-algebra of (A,dA)(A,d_{A}). For A⊆XA\subseteq X, 1A:X→R\mathbf{1}_{A}:X\to\mathbb{R} is its indicator. The space XX is nonempty, since μ1(X)=1≠0=μ1(∅)\mu_{1}(X)=1\neq0=\mu_{1}(\varnothing).

Step 0 (two tools). (a) Let (Z,dZ)(Z,d_{Z}) be a metric space, ν\nu a Borel measure on it with ν(Z)<∞\nu(Z)<\infty, AA a Borel subset of ZZ, MM a nonnegative real number, and u:Z→Ru:Z\to\mathbb{R} measurable with ∣u∣≤M|u|\le M on ZZ and u=0u=0 on Z∖AZ\setminus A. Then uu is integrable with respect to ν\nu and ∣∫Zu dν∣≤M ν(A)\bigl|\int_{Z}u\,d\nu\bigr|\le M\,\nu(A). Indeed, uu is integrable by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space. By The Metric Subspace: Continuity, the Borel Sigma-Algebra, and the Restriction of a Borel Measure §integral, applied to (Z,dZ)(Z,d_{Z}), the set AA, the measure ν\nu and the function uu, the restriction u∣Au|_{A} is measurable on (A,dA)(A,d_{A}), integrable with respect to ν∣A\nu|_{A}, and ∫Zu dν=∫Au∣A d(ν∣A)\int_{Z}u\,d\nu=\int_{A}u|_{A}\,d(\nu|_{A}). By The Metric Subspace: Continuity, the Borel Sigma-Algebra, and the Restriction of a Borel Measure §borel-subset, ν∣A\nu|_{A} is a Borel measure on (A,dA)(A,d_{A}) with ν∣A(A)=ν(A)\nu|_{A}(A)=\nu(A), which is finite since ν(A)≤ν(Z)\nu(A)\le\nu(Z) by Basic Properties of a Measure §monotone. As ∣u∣A∣≤M|u|_{A}|\le M, claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space, applied on (A,dA)(A,d_{A}), gives ∣∫Au∣A d(ν∣A)∣≤M ν(A)\bigl|\int_{A}u|_{A}\,d(\nu|_{A})\bigr|\le M\,\nu(A).

(b) If f:X→Rf:X\to\mathbb{R} is measurable and A∈B(X)A\in\mathcal{B}(X), then f1Af\mathbf{1}_{A} is measurable. Indeed, for C∈B(R)C\in\mathcal{B}(\mathbb{R}) the preimage of CC under f1Af\mathbf{1}_{A} is f−1(C)∩Af^{-1}(C)\cap A if 0∉C0\notin C, and (f−1(C)∩A)∪(X∖A)\bigl(f^{-1}(C)\cap A\bigr)\cup(X\setminus A) if 0∈C0\in C; both belong to the σ\sigma-algebra B(X)\mathcal{B}(X). Likewise, the preimage of any set under 1A\mathbf{1}_{A} is one of ∅\varnothing, AA, X∖AX\setminus A, XX, so 1A\mathbf{1}_{A} is measurable.

Step 1 (an increasing sequence of compact sets). For every i∈Ni\in\mathbb{N} the number 1i+1\tfrac{1}{i+1} is positive, so the tightness of (μn)n∈N(\mu_{n})_{n\in\mathbb{N}}, Tight Family of Borel Measures on a Metric Space §sequence together with Tight Family of Borel Measures on a Metric Space §tight, gives a set Li⊆XL_{i}\subseteq X, compact in (X,Td)(X,\mathcal{T}_{d}), with μn(X∖Li)≤1i+1\mu_{n}(X\setminus L_{i})\le\tfrac{1}{i+1} for every n∈Nn\in\mathbb{N}. First, the union of two sets A,BA,B compact in (X,Td)(X,\mathcal{T}_{d}) is compact in (X,Td)(X,\mathcal{T}_{d}): an open cover (Ua)a∈I(U_{a})_{a\in I} of A∪BA\cup B in XX is an open cover of AA and of BB, so the implication from 1 to 2 of Compact Subset Criterion via Open Covers in the Ambient Space gives finite sets JA,JB⊆IJ_{A},J_{B}\subseteq I indexing subcovers of AA and of BB; the set JA∪JBJ_{A}\cup J_{B} is finite by claim 3 of Peeling an Element off a Finite Set, and Unions of Finite Sets and indexes a subcover of A∪BA\cup B, so A∪BA\cup B is compact by the implication from 2 to 1 of the same theorem. Put K1=L1K_{1}=L_{1} and Ki+1=Ki∪Li+1K_{i+1}=K_{i}\cup L_{i+1}. By induction every KiK_{i} is compact in (X,Td)(X,\mathcal{T}_{d}); moreover Ki⊆Ki+1K_{i}\subseteq K_{i+1} and Li⊆KiL_{i}\subseteq K_{i}. By Compact Subsets of a Metric Space are Closed and Borel §borel, KiK_{i} and X∖KiX\setminus K_{i} belong to B(X)\mathcal{B}(X), and, as X∖Li∈B(X)X\setminus L_{i}\in\mathcal{B}(X) by the same clause and X∖Ki⊆X∖LiX\setminus K_{i}\subseteq X\setminus L_{i}, Basic Properties of a Measure §monotone gives

μn(X∖Ki)≤1i+1(n,i∈N).\mu_{n}(X\setminus K_{i})\le\tfrac{1}{i+1}\qquad(n,i\in\mathbb{N}).

Write di=dKid_{i}=d_{K_{i}}. By claim 2 of The Restriction of a Metric to a Subset Induces the Subspace Topology the subsets of KiK_{i} open in (Ki,di)(K_{i},d_{i}) are exactly the members of the subspace topology of KiK_{i}; as KiK_{i} is compact in (X,Td)(X,\mathcal{T}_{d}), Compact Topological Space and Compact Subset shows that KiK_{i} is compact for the topology of open subsets of the metric space (Ki,di)(K_{i},d_{i}).

Step 2 (restricted and normalised measures). Fix n,i∈Nn,i\in\mathbb{N} and put mn,i=μn(Ki)m_{n,i}=\mu_{n}(K_{i}). By Basic Properties of a Measure §differences and Step 1, mn,i=1−μn(X∖Ki)≥1−1i+1≥12m_{n,i}=1-\mu_{n}(X\setminus K_{i})\ge1-\tfrac{1}{i+1}\ge\tfrac{1}{2}, and mn,i≤μn(X)=1m_{n,i}\le\mu_{n}(X)=1 by Basic Properties of a Measure §monotone. Let νn,i=μn∣Ki\nu_{n,i}=\mu_{n}|_{K_{i}}; by The Metric Subspace: Continuity, the Borel Sigma-Algebra, and the Restriction of a Borel Measure §borel-subset it is a Borel measure on (Ki,di)(K_{i},d_{i}) with νn,i(Ki)=mn,i\nu_{n,i}(K_{i})=m_{n,i}. Let πn,i\pi_{n,i} be the measure γ\gamma of Nonnegative Combinations of Two Finite Measures, and the Average of Two Couplings §combination, a claim about an arbitrary measurable space (the dimension of that lemma plays no role in this claim and is taken to be 11; it is unrelated to the metric dd of XX), read for (Ki,B(Ki))(K_{i},\mathcal{B}(K_{i})), α=β=νn,i\alpha=\beta=\nu_{n,i}, s=1mn,is=\tfrac{1}{m_{n,i}} and t=0t=0. So πn,i(A)=1mn,iνn,i(A)\pi_{n,i}(A)=\tfrac{1}{m_{n,i}}\nu_{n,i}(A) for A∈B(Ki)A\in\mathcal{B}(K_{i}), πn,i\pi_{n,i} is a Borel measure on (Ki,di)(K_{i},d_{i}) with πn,i(Ki)=1\pi_{n,i}(K_{i})=1, and for every bounded measurable u:Ki→Ru:K_{i}\to\mathbb{R}, which is integrable with respect to νn,i\nu_{n,i} by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space, the same claim gives

∫Kiu dνn,i=mn,i∫Kiu dπn,i.(2.1)\int_{K_{i}}u\,d\nu_{n,i}=m_{n,i}\int_{K_{i}}u\,d\pi_{n,i}. \qquad\text{(2.1)}

Moreover, if f:X→Rf:X\to\mathbb{R} is measurable with ∣f∣≤M|f|\le M, then f1Kif\mathbf{1}_{K_{i}} is measurable by Step 0(b), integrable with respect to μn\mu_{n} by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space, vanishes off KiK_{i} and restricts to f∣Kif|_{K_{i}} on KiK_{i}; so The Metric Subspace: Continuity, the Borel Sigma-Algebra, and the Restriction of a Borel Measure §integral gives

∫Xf1Ki dμn=∫Kif∣Ki dνn,i.(2.2)\int_{X}f\mathbf{1}_{K_{i}}\,d\mu_{n}=\int_{K_{i}}f|_{K_{i}}\,d\nu_{n,i}. \qquad\text{(2.2)}

Step 3 (a diagonal subsequence). (a) The real array (mn,i)n,i∈N(m_{n,i})_{n,i\in\mathbb{N}} satisfies ∣mn,i∣≤1|m_{n,i}|\le1, so The Diagonal Subsequence Lemma for Bounded Real Arrays gives a strictly increasing sequence s(0)=(sl(0))l∈Ns^{(0)}=(s^{(0)}_{l})_{l\in\mathbb{N}} in N\mathbb{N} such that for every ii the sequence (msl(0),i)l∈N(m_{s^{(0)}_{l},i})_{l\in\mathbb{N}} converges; call its limit mim_{i}.

(b) Recursively, for i∈Ni\in\mathbb{N}, once the strictly increasing sequence s(i−1)s^{(i-1)} is chosen, apply Weak Sequential Compactness of Borel Measures of Total Mass One on a Compact Metric Space to the compact metric space (Ki,di)(K_{i},d_{i}) of Step 1 and the sequence (πsl(i−1),i)l∈N(\pi_{s^{(i-1)}_{l},i})_{l\in\mathbb{N}} of Borel measures of total mass one: it gives a strictly increasing sequence (kl(i))l∈N(k^{(i)}_{l})_{l\in\mathbb{N}} in N\mathbb{N} and a Borel measure βi\beta_{i} on (Ki,di)(K_{i},d_{i}) with βi(Ki)=1\beta_{i}(K_{i})=1 such that (πskl(i)(i−1),i)l∈N(\pi_{s^{(i-1)}_{k^{(i)}_{l}},i})_{l\in\mathbb{N}} converges weakly to βi\beta_{i}. Put sl(i)=skl(i)(i−1)s^{(i)}_{l}=s^{(i-1)}_{k^{(i)}_{l}}; the sequence s(i)s^{(i)} is strictly increasing by claim 2 of A Subsequence of a Subsequence is a Subsequence.

(c) For integers 0≤i≤i′0\le i\le i' and every l∈Nl\in\mathbb{N} there is l′∈Nl'\in\mathbb{N} with l≤l′l\le l' and sl(i′)=sl′(i)s^{(i')}_{l}=s^{(i)}_{l'}. This is clear for i′=ii'=i (take l′=ll'=l). If it holds for i′i', then sl(i′+1)=sk(i′)s^{(i'+1)}_{l}=s^{(i')}_{k} with k=kl(i′+1)≥lk=k^{(i'+1)}_{l}\ge l by Strictly Increasing Sequences of Natural Numbers Dominate Their Index, and the hypothesis for i′i' applied to the index kk gives l′≥k≥ll'\ge k\ge l with sk(i′)=sl′(i)s^{(i')}_{k}=s^{(i)}_{l'}.

(d) Put nj=sj(j)n_{j}=s^{(j)}_{j} for j∈Nj\in\mathbb{N}. By (c) with i=ji=j, i′=j+1i'=j+1, there is l′≥j+1l'\ge j+1 with nj+1=sl′(j)n_{j+1}=s^{(j)}_{l'}, and sj(j)<sl′(j)s^{(j)}_{j}<s^{(j)}_{l'} by claim 1 of A Subsequence of a Subsequence is a Subsequence; so (nj)j∈N(n_{j})_{j\in\mathbb{N}} is strictly increasing.

(e) Let i≥0i\ge0 be an integer and (cn)n∈N(c_{n})_{n\in\mathbb{N}} a real sequence such that (csl(i))l∈N(c_{s^{(i)}_{l}})_{l\in\mathbb{N}} converges to LL. Then (cnj)j∈N(c_{n_{j}})_{j\in\mathbb{N}} converges to LL. Given a positive real ε\varepsilon, Limit of a Sequence of Real Numbers gives NN with ∣csl(i)−L∣<ε|c_{s^{(i)}_{l}}-L|<\varepsilon for l≥Nl\ge N. For j≥max⁡(i,N)j\ge\max(i,N), (c) with i′=ji'=j gives l′≥j≥Nl'\ge j\ge N with nj=sl′(i)n_{j}=s^{(i)}_{l'}, so ∣cnj−L∣<ε|c_{n_{j}}-L|<\varepsilon.

(f) Consequences. Fix i∈Ni\in\mathbb{N}. By (a) and (e) with stage 00, (mnj,i)j∈N(m_{n_{j},i})_{j\in\mathbb{N}} converges to mim_{i}; since 1−1i+1≤mn,i≤11-\tfrac{1}{i+1}\le m_{n,i}\le1 for all nn, claim 1 of Order Properties of Limits of Real Sequences gives 1−1i+1≤mi≤11-\tfrac{1}{i+1}\le m_{i}\le1. Let u:Ki→Ru:K_{i}\to\mathbb{R} be bounded and continuous on (Ki,di)(K_{i},d_{i}); it is measurable by claim 3 of Borel Measurability and Bounded Integration on a Metric Space applied to (Ki,di)(K_{i},d_{i}), so (2.1) applies to it. By (b) and Weak Convergence of Finite Borel Measures on a Metric Space, (∫Kiu dπsl(i),i)l∈N\bigl(\int_{K_{i}}u\,d\pi_{s^{(i)}_{l},i}\bigr)_{l\in\mathbb{N}} converges to ∫Kiu dβi\int_{K_{i}}u\,d\beta_{i}, so by (e) with stage ii, (∫Kiu dπnj,i)j∈N\bigl(\int_{K_{i}}u\,d\pi_{n_{j},i}\bigr)_{j\in\mathbb{N}} converges to the same limit. By (2.1) and Arithmetic of Limits of Real Sequences §products,

∫Kiu dνnj,i⟶mi∫Kiu dβi(j→∞).(3.1)\int_{K_{i}}u\,d\nu_{n_{j},i}\longrightarrow m_{i}\int_{K_{i}}u\,d\beta_{i}\qquad(j\to\infty). \qquad\text{(3.1)}

The sequence (nj)j∈N(n_{j})_{j\in\mathbb{N}} is fixed from now on.

Step 4 (the limit measures on the compact sets, and their extensions). Fix i∈Ni\in\mathbb{N}. Let αi\alpha_{i} be the measure γ\gamma of Nonnegative Combinations of Two Finite Measures, and the Average of Two Couplings §combination read for (Ki,B(Ki))(K_{i},\mathcal{B}(K_{i})), α=β=βi\alpha=\beta=\beta_{i}, s=mis=m_{i}, t=0t=0. It is a Borel measure on (Ki,di)(K_{i},d_{i}) with αi(Ki)=mi\alpha_{i}(K_{i})=m_{i} and ∫Kiu dαi=mi∫Kiu dβi\int_{K_{i}}u\,d\alpha_{i}=m_{i}\int_{K_{i}}u\,d\beta_{i} for bounded measurable uu (integrable with respect to βi\beta_{i} by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space). So (3.1) reads: ∫Kiu dνnj,i→∫Kiu dαi\int_{K_{i}}u\,d\nu_{n_{j},i}\to\int_{K_{i}}u\,d\alpha_{i} for every bounded uu continuous on (Ki,di)(K_{i},d_{i}), such uu being measurable by claim 3 of Borel Measurability and Bounded Integration on a Metric Space.

Let ιi:Ki→X\iota_{i}:K_{i}\to X be the inclusion. Since d(ιi(y),ιi(x))=di(x,y)d(\iota_{i}(y),\iota_{i}(x))=d_{i}(x,y) by the symmetry condition 3 of Metric Space, Continuous Map Between Metric Spaces holds with δ=ε\delta=\varepsilon, so ιi\iota_{i} is continuous on KiK_{i} as a map from (Ki,di)(K_{i},d_{i}) to (X,d)(X,d), hence measurable with respect to B(Ki)\mathcal{B}(K_{i}) and B(X)\mathcal{B}(X) by claim 3 of Borel Measurability and Bounded Integration on a Metric Space. Let αˉi\bar{\alpha}_{i} be the image measure of αi\alpha_{i} under ιi\iota_{i}, formed by claim 1 of Image Measures, Measures with Densities, and Change of Variables: a Borel measure on (X,d)(X,d) with αˉi(B)=αi(B∩Ki)\bar{\alpha}_{i}(B)=\alpha_{i}(B\cap K_{i}) for B∈B(X)B\in\mathcal{B}(X) and αˉi(X)=αi(Ki)=mi≤1\bar{\alpha}_{i}(X)=\alpha_{i}(K_{i})=m_{i}\le1. For bounded measurable f:X→Rf:X\to\mathbb{R}, integrable with respect to αˉi\bar{\alpha}_{i} by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space, claim 2 of Image Measures, Measures with Densities, and Change of Variables gives, as f∘ιi=f∣Kif\circ\iota_{i}=f|_{K_{i}},

∫Xf dαˉi=∫Kif∣Ki dαi.(4.1)\int_{X}f\,d\bar{\alpha}_{i}=\int_{K_{i}}f|_{K_{i}}\,d\alpha_{i}. \qquad\text{(4.1)}

Now let f:X→Rf:X\to\mathbb{R} be bounded, with bound MM, and continuous on XX. Then ff is measurable by claim 3 of Borel Measurability and Bounded Integration on a Metric Space. The map f∣Kif|_{K_{i}} is continuous on KiK_{i} as a map from (X,d)(X,d), directly from Continuous Map Between Metric Spaces (the δ\delta that works at a point for XX works for Ki⊆XK_{i}\subseteq X), hence continuous on (Ki,di)(K_{i},d_{i}) by The Metric Subspace: Continuity, the Borel Sigma-Algebra, and the Restriction of a Borel Measure §continuity-map, and bounded by MM. Combining (2.2), the reading of (3.1) above, and (4.1),

∫Xf1Ki dμnj⟶∫Xf dαˉi(j→∞).(4.2)\int_{X}f\mathbf{1}_{K_{i}}\,d\mu_{n_{j}}\longrightarrow\int_{X}f\,d\bar{\alpha}_{i}\qquad(j\to\infty). \qquad\text{(4.2)}

Step 5 (the extensions increase with ii). Fix i∈Ni\in\mathbb{N}. (a) Let h:X→Rh:X\to\mathbb{R} be bounded, continuous on XX and nonnegative. Since Ki⊆Ki+1K_{i}\subseteq K_{i+1} we have h1Ki≤h1Ki+1h\mathbf{1}_{K_{i}}\le h\mathbf{1}_{K_{i+1}} pointwise, so claim 2 of Linearity and Monotonicity of the Lebesgue Integral gives ∫Xh1Ki dμn≤∫Xh1Ki+1 dμn\int_{X}h\mathbf{1}_{K_{i}}\,d\mu_{n}\le\int_{X}h\mathbf{1}_{K_{i+1}}\,d\mu_{n} for every nn. Along (nj)(n_{j}) both sides converge by (4.2), so claim 1 of Order Properties of Limits of Real Sequences gives ∫Xh dαˉi≤∫Xh dαˉi+1\int_{X}h\,d\bar{\alpha}_{i}\le\int_{X}h\,d\bar{\alpha}_{i+1}.

(b) Let B∈B(X)B\in\mathcal{B}(X) and let ε\varepsilon be a positive real number. Let λ\lambda be the measure γ\gamma of Nonnegative Combinations of Two Finite Measures, and the Average of Two Couplings §combination for (X,B(X))(X,\mathcal{B}(X)), α=αˉi\alpha=\bar{\alpha}_{i}, β=αˉi+1\beta=\bar{\alpha}_{i+1}, s=t=1s=t=1; it is a Borel measure on (X,d)(X,d) with λ(X)=mi+mi+1<∞\lambda(X)=m_{i}+m_{i+1}<\infty and λ(A)=αˉi(A)+αˉi+1(A)\lambda(A)=\bar{\alpha}_{i}(A)+\bar{\alpha}_{i+1}(A). Since XX is nonempty, Inner and Outer Regularity of a Finite Borel Measure on a Metric Space, and Lipschitz Approximation of Indicators §lipschitz, applied to λ\lambda, BB and ε\varepsilon, gives a Lipschitz map h:X→Rh:X\to\mathbb{R} with 0≤h≤10\le h\le1 and a set N∈B(X)N\in\mathcal{B}(X) with λ(N)≤ε\lambda(N)\le\varepsilon such that h=1Bh=\mathbf{1}_{B} on X∖NX\setminus N. The map hh is continuous on XX by A Lipschitz Map is Uniformly Continuous, so (a) applies to it. Let αˉ\bar{\alpha} be αˉi\bar{\alpha}_{i} or αˉi+1\bar{\alpha}_{i+1}. The functions hh and 1B\mathbf{1}_{B} are measurable (claim 3 of Borel Measurability and Bounded Integration on a Metric Space and Step 0(b)) and bounded, hence integrable with respect to αˉ\bar{\alpha} by claim 6(b) of that lemma, and ∫X1B dαˉ=αˉ(B)\int_{X}\mathbf{1}_{B}\,d\bar{\alpha}=\bar{\alpha}(B) by The Integral of an Indicator Function is the Measure of the Set together with claim 6(c) of Borel Measurability and Bounded Integration on a Metric Space. By claim 2 of Linearity and Monotonicity of the Lebesgue Integral, w=h−1Bw=h-\mathbf{1}_{B} is integrable, in particular measurable by Integrable Function and the Lebesgue Integral, and ∫Xh dαˉ−αˉ(B)=∫Xw dαˉ\int_{X}h\,d\bar{\alpha}-\bar{\alpha}(B)=\int_{X}w\,d\bar{\alpha}. Since ∣w∣≤1|w|\le1 and w=0w=0 off NN, Step 0(a) gives ∣∫Xw dαˉ∣≤αˉ(N)≤λ(N)≤ε\bigl|\int_{X}w\,d\bar{\alpha}\bigr|\le\bar{\alpha}(N)\le\lambda(N)\le\varepsilon. Hence, using (a),

αˉi(B)≤∫Xh dαˉi+ε≤∫Xh dαˉi+1+ε≤αˉi+1(B)+2ε.\bar{\alpha}_{i}(B)\le\int_{X}h\,d\bar{\alpha}_{i}+\varepsilon\le\int_{X}h\,d\bar{\alpha}_{i+1}+\varepsilon\le\bar{\alpha}_{i+1}(B)+2\varepsilon .

As ε\varepsilon was arbitrary, claim 1 of Comparison of Real Numbers with Arbitrary Positive Slack gives αˉi(B)≤αˉi+1(B)\bar{\alpha}_{i}(B)\le\bar{\alpha}_{i+1}(B). By induction, αˉi(B)≤αˉi′(B)\bar{\alpha}_{i}(B)\le\bar{\alpha}_{i'}(B) whenever i≤i′i\le i'.

(c) Let i≤i′i\le i' and B∈B(X)B\in\mathcal{B}(X). By Basic Properties of a Measure §additivity, mi=αˉi(B)+αˉi(X∖B)m_{i}=\bar{\alpha}_{i}(B)+\bar{\alpha}_{i}(X\setminus B) and mi′=αˉi′(B)+αˉi′(X∖B)m_{i'}=\bar{\alpha}_{i'}(B)+\bar{\alpha}_{i'}(X\setminus B), all terms real. Subtracting and using (b) for X∖BX\setminus B, and Step 3(f),

0≤αˉi′(B)−αˉi(B)≤mi′−mi≤1−(1−1i+1)=1i+1.(5.1)0\le\bar{\alpha}_{i'}(B)-\bar{\alpha}_{i}(B)\le m_{i'}-m_{i}\le1-\bigl(1-\tfrac{1}{i+1}\bigr)=\tfrac{1}{i+1}. \qquad\text{(5.1)}

Step 6 (the limit measure). For B∈B(X)B\in\mathcal{B}(X) the set {αˉi(B):i∈N}\{\bar{\alpha}_{i}(B):i\in\mathbb{N}\} is nonempty and bounded above by 11 (by Basic Properties of a Measure §monotone, αˉi(B)≤mi≤1\bar{\alpha}_{i}(B)\le m_{i}\le1); let μ(B)\mu(B) be its least upper bound. For every ii, (5.1) shows that αˉi(B)+1i+1\bar{\alpha}_{i}(B)+\tfrac{1}{i+1} is an upper bound of αˉi′(B)\bar{\alpha}_{i'}(B) for i′≥ii'\ge i, and by Step 5(b) also for i′<ii'<i; hence

0≤μ(B)−αˉi(B)≤1i+1(i∈N),(6.1)0\le\mu(B)-\bar{\alpha}_{i}(B)\le\tfrac{1}{i+1}\qquad(i\in\mathbb{N}), \qquad\text{(6.1)}

and (αˉi(B))i∈N(\bar{\alpha}_{i}(B))_{i\in\mathbb{N}} converges to μ(B)\mu(B) by claim 3 of Order Properties of Limits of Real Sequences, the sequence (1i+1)i∈N(\tfrac{1}{i+1})_{i\in\mathbb{N}} converging to 00 by claim 3 of The Archimedean Property of the Real Numbers (for a positive real ε\varepsilon it gives nn with 1n<ε\tfrac{1}{n}<\varepsilon, and then 1i+1<1n<ε\tfrac{1}{i+1}<\tfrac{1}{n}<\varepsilon for i≥ni\ge n).

We check Measure, Measure Space, and Probability Measure. First μ(∅)=0\mu(\varnothing)=0, as every αˉi(∅)=0\bar{\alpha}_{i}(\varnothing)=0. Let (Bk)k∈N(B_{k})_{k\in\mathbb{N}} be pairwise disjoint members of B(X)\mathcal{B}(X) with union BB. For p∈Np\in\mathbb{N} and every ii, Basic Properties of a Measure §additivity and Basic Properties of a Measure §monotone give ∑k=1pαˉi(Bk)=αˉi(⋃k=1pBk)≤αˉi(B)≤μ(B)\sum_{k=1}^{p}\bar{\alpha}_{i}(B_{k})=\bar{\alpha}_{i}\bigl(\bigcup_{k=1}^{p}B_{k}\bigr)\le\bar{\alpha}_{i}(B)\le\mu(B); letting i→∞i\to\infty, using the convergence just proved and Arithmetic of Limits of Real Sequences §sums for the finite sum, claim 1 of Order Properties of Limits of Real Sequences gives ∑k=1pμ(Bk)≤μ(B)\sum_{k=1}^{p}\mu(B_{k})\le\mu(B). So the partial sums of ∑kμ(Bk)\sum_{k}\mu(B_{k}) are bounded above, and by Measure, Measure Space, and Probability Measure the sum S=∑kμ(Bk)S=\sum_{k}\mu(B_{k}) is their least upper bound, with S≤μ(B)S\le\mu(B). Conversely, for every ii, the countable additivity of αˉi\bar{\alpha}_{i} and Measure, Measure Space, and Probability Measure show that αˉi(B)\bar{\alpha}_{i}(B) is the least upper bound of the partial sums ∑k=1pαˉi(Bk)\sum_{k=1}^{p}\bar{\alpha}_{i}(B_{k}), each of which is at most ∑k=1pμ(Bk)≤S\sum_{k=1}^{p}\mu(B_{k})\le S termwise by (6.1); so αˉi(B)≤S\bar{\alpha}_{i}(B)\le S for every ii, whence μ(B)≤S\mu(B)\le S. Thus μ(B)=∑kμ(Bk)\mu(B)=\sum_{k}\mu(B_{k}), and μ\mu is a Borel measure on (X,d)(X,d) by Borel Measure on a Metric Space. Finally μ(X)\mu(X) is the least upper bound of the numbers mim_{i}, which satisfy 1−1i+1≤mi≤11-\tfrac{1}{i+1}\le m_{i}\le1 by Step 3(f); so μ(X)≤1\mu(X)\le1, and for every positive real ε\varepsilon some ii has 1i+1<ε\tfrac{1}{i+1}<\varepsilon by claim 3 of The Archimedean Property of the Real Numbers, giving 1−ε≤μ(X)1-\varepsilon\le\mu(X); claim 2 of Comparison of Real Numbers with Arbitrary Positive Slack yields μ(X)=1\mu(X)=1.

Step 7 (the defect measures). Fix i∈Ni\in\mathbb{N} and put ρi(B)=μ(B)−αˉi(B)\rho_{i}(B)=\mu(B)-\bar{\alpha}_{i}(B) for B∈B(X)B\in\mathcal{B}(X), a real number in the interval from 00 to 1i+1\tfrac{1}{i+1} by (6.1). Then ρi(∅)=0\rho_{i}(\varnothing)=0. For pairwise disjoint (Bk)k∈N(B_{k})_{k\in\mathbb{N}} in B(X)\mathcal{B}(X) with union BB, the partial sums of ∑kμ(Bk)\sum_{k}\mu(B_{k}) and of ∑kαˉi(Bk)\sum_{k}\bar{\alpha}_{i}(B_{k}) converge to μ(B)\mu(B) and to αˉi(B)\bar{\alpha}_{i}(B), by the countable additivity of these finite measures and Measure, Measure Space, and Probability Measure; so by claim 3 of Arithmetic of Limits of Real Sequences the partial sums of the series of nonnegative terms ∑kρi(Bk)\sum_{k}\rho_{i}(B_{k}) converge to ρi(B)\rho_{i}(B), and by Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §criterion the least upper bound of these partial sums is ρi(B)\rho_{i}(B). By Measure, Measure Space, and Probability Measure, ρi\rho_{i} is a measure on (X,B(X))(X,\mathcal{B}(X)), with ρi(X)≤1i+1\rho_{i}(X)\le\tfrac{1}{i+1}. Since μ(A)=αˉi(A)+ρi(A)\mu(A)=\bar{\alpha}_{i}(A)+\rho_{i}(A) for every A∈B(X)A\in\mathcal{B}(X), μ\mu is the measure γ\gamma of Nonnegative Combinations of Two Finite Measures, and the Average of Two Couplings §combination for α=αˉi\alpha=\bar{\alpha}_{i}, β=ρi\beta=\rho_{i}, s=t=1s=t=1. Hence for every measurable f:X→Rf:X\to\mathbb{R} with ∣f∣≤M|f|\le M, integrable with respect to αˉi\bar{\alpha}_{i} and ρi\rho_{i} by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space, that claim gives ∫Xf dμ=∫Xf dαˉi+∫Xf dρi\int_{X}f\,d\mu=\int_{X}f\,d\bar{\alpha}_{i}+\int_{X}f\,d\rho_{i}, and claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space gives

∣∫Xf dμ−∫Xf dαˉi∣=∣∫Xf dρi∣≤Mρi(X)≤Mi+1.(7.1)\Bigl|\int_{X}f\,d\mu-\int_{X}f\,d\bar{\alpha}_{i}\Bigr|=\Bigl|\int_{X}f\,d\rho_{i}\Bigr|\le M\rho_{i}(X)\le\tfrac{M}{i+1}. \qquad\text{(7.1)}

Step 8 (weak convergence). Let f:X→Rf:X\to\mathbb{R} be bounded, with bound MM, and continuous on XX; it is measurable by claim 3 of Borel Measurability and Bounded Integration on a Metric Space and integrable with respect to every μn\mu_{n} and μ\mu by claim 6(b) of that lemma. Let η\eta be a positive real number. The choices are made in this order: η\eta, then ii, then NN. By claim 3 of The Archimedean Property of the Real Numbers choose i∈Ni\in\mathbb{N} with 1i<η4M+1\tfrac{1}{i}<\tfrac{\eta}{4M+1}, so that 2Mi+1<η2\tfrac{2M}{i+1}<\tfrac{\eta}{2}. For every nn, f=f1Ki+f1X∖Kif=f\mathbf{1}_{K_{i}}+f\mathbf{1}_{X\setminus K_{i}}, where both summands are measurable by Step 0(b) and bounded by MM; by claim 2 of Linearity and Monotonicity of the Lebesgue Integral and Step 0(a), applied with Z=XZ=X, ν=μn\nu=\mu_{n}, A=X∖KiA=X\setminus K_{i} and u=f1X∖Kiu=f\mathbf{1}_{X\setminus K_{i}}, and by Step 1,

∣∫Xf dμn−∫Xf1Ki dμn∣≤Mμn(X∖Ki)≤Mi+1.\Bigl|\int_{X}f\,d\mu_{n}-\int_{X}f\mathbf{1}_{K_{i}}\,d\mu_{n}\Bigr|\le M\mu_{n}(X\setminus K_{i})\le\tfrac{M}{i+1}.

By (4.2) and Limit of a Sequence of Real Numbers there is N∈NN\in\mathbb{N} with ∣∫Xf1Ki dμnj−∫Xf dαˉi∣<η2\bigl|\int_{X}f\mathbf{1}_{K_{i}}\,d\mu_{n_{j}}-\int_{X}f\,d\bar{\alpha}_{i}\bigr|<\tfrac{\eta}{2} for all j≥Nj\ge N. For such jj, the last display with n=njn=n_{j}, this bound and (7.1), combined by the triangle inequality for the absolute value, give

∣∫Xf dμnj−∫Xf dμ∣<Mi+1+η2+Mi+1<η.\Bigl|\int_{X}f\,d\mu_{n_{j}}-\int_{X}f\,d\mu\Bigr|<\tfrac{M}{i+1}+\tfrac{\eta}{2}+\tfrac{M}{i+1}<\eta .

As η\eta was arbitrary, (∫Xf dμnj)j∈N\bigl(\int_{X}f\,d\mu_{n_{j}}\bigr)_{j\in\mathbb{N}} converges to ∫Xf dμ\int_{X}f\,d\mu; as ff was arbitrary, (μnj)j∈N(\mu_{n_{j}})_{j\in\mathbb{N}} converges weakly to μ\mu in the sense of Weak Convergence of Finite Borel Measures on a Metric Space. Together with Step 3(d) and Step 6, the strictly increasing sequence (nj)j∈N(n_{j})_{j\in\mathbb{N}} and the Borel measure μ\mu with μ(X)=1\mu(X)=1 are as claimed.

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