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, T d \mathcal{T}_{d} T d is the collection of subsets of X X X open in ( X , d ) (X,d) ( X , d ) , B ( X ) \mathcal{B}(X) B ( X ) is the Borel σ \sigma σ -algebra of ( X , d ) (X,d) ( X , d ) , d R ( s , t ) = ∣ s − t ∣ d_{\mathbb{R}}(s,t)=|s-t| d R ( s , t ) = ∣ s − t ∣ is the absolute-value metric on R \mathbb{R} R , whose Borel σ \sigma σ -algebra is the Borel σ \sigma σ -algebra B ( R ) \mathcal{B}(\mathbb{R}) B ( 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 σ -algebra and B ( R ) \mathcal{B}(\mathbb{R}) B ( R ) . For a set A ⊆ X A\subseteq X A ⊆ X , d A d_{A} d A is the restriction of d d d to A A A , a metric on A A A by claim 1 of The Restriction of a Metric to a Subset Induces the Subspace Topology , and B ( A ) \mathcal{B}(A) B ( A ) is the Borel σ \sigma σ -algebra of ( A , d A ) (A,d_{A}) ( A , d A ) . For A ⊆ X A\subseteq X A ⊆ X , 1 A : X → R \mathbf{1}_{A}:X\to\mathbb{R} 1 A : X → R is its indicator. The space X X X is nonempty, since μ 1 ( X ) = 1 ≠ 0 = μ 1 ( ∅ ) \mu_{1}(X)=1\neq0=\mu_{1}(\varnothing) μ 1 ( X ) = 1 = 0 = μ 1 ( ∅ ) .
Step 0 (two tools). (a) Let ( Z , d Z ) (Z,d_{Z}) ( Z , d Z ) be a metric space, ν \nu ν a Borel measure on it with ν ( Z ) < ∞ \nu(Z)<\infty ν ( Z ) < ∞ , A A A a Borel subset of Z Z Z , M M M a nonnegative real number, and u : Z → R u:Z\to\mathbb{R} u : Z → R measurable with ∣ u ∣ ≤ M |u|\le M ∣ u ∣ ≤ M on Z Z Z and u = 0 u=0 u = 0 on Z ∖ A Z\setminus A Z ∖ A . Then u u u is integrable with respect to ν \nu ν and ∣ ∫ Z u d ν ∣ ≤ M ν ( A ) \bigl|\int_{Z}u\,d\nu\bigr|\le M\,\nu(A) ∫ Z u d ν ≤ M ν ( A ) . Indeed, u u u 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 , d Z ) (Z,d_{Z}) ( Z , d Z ) , the set A A A , the measure ν \nu ν and the function u u u , the restriction u ∣ A u|_{A} u ∣ A is measurable on ( A , d A ) (A,d_{A}) ( A , d A ) , integrable with respect to ν ∣ A \nu|_{A} ν ∣ A , and ∫ Z u d ν = ∫ A u ∣ A d ( ν ∣ A ) \int_{Z}u\,d\nu=\int_{A}u|_{A}\,d(\nu|_{A}) ∫ Z u d ν = ∫ A u ∣ A d ( ν ∣ A ) . By The Metric Subspace: Continuity, the Borel Sigma-Algebra, and the Restriction of a Borel Measure §borel-subset , ν ∣ A \nu|_{A} ν ∣ A is a Borel measure on ( A , d A ) (A,d_{A}) ( A , d A ) with ν ∣ A ( A ) = ν ( A ) \nu|_{A}(A)=\nu(A) ν ∣ A ( A ) = ν ( A ) , which is finite since ν ( A ) ≤ ν ( Z ) \nu(A)\le\nu(Z) ν ( A ) ≤ ν ( Z ) by Basic Properties of a Measure §monotone . As ∣ u ∣ A ∣ ≤ M |u|_{A}|\le M ∣ u ∣ A ∣ ≤ M , claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space , applied on ( A , d A ) (A,d_{A}) ( A , d A ) , gives ∣ ∫ A u ∣ A d ( ν ∣ A ) ∣ ≤ M ν ( A ) \bigl|\int_{A}u|_{A}\,d(\nu|_{A})\bigr|\le M\,\nu(A) ∫ A u ∣ A d ( ν ∣ A ) ≤ M ν ( A ) .
(b) If f : X → R f:X\to\mathbb{R} f : X → R is measurable and A ∈ B ( X ) A\in\mathcal{B}(X) A ∈ B ( X ) , then f 1 A f\mathbf{1}_{A} f 1 A is measurable. Indeed, for C ∈ B ( R ) C\in\mathcal{B}(\mathbb{R}) C ∈ B ( R ) the preimage of C C C under f 1 A f\mathbf{1}_{A} f 1 A is f − 1 ( C ) ∩ A f^{-1}(C)\cap A f − 1 ( C ) ∩ A if 0 ∉ C 0\notin C 0 ∈ / C , and ( f − 1 ( C ) ∩ A ) ∪ ( X ∖ A ) \bigl(f^{-1}(C)\cap A\bigr)\cup(X\setminus A) ( f − 1 ( C ) ∩ A ) ∪ ( X ∖ A ) if 0 ∈ C 0\in C 0 ∈ C ; both belong to the σ \sigma σ -algebra B ( X ) \mathcal{B}(X) B ( X ) . Likewise, the preimage of any set under 1 A \mathbf{1}_{A} 1 A is one of ∅ \varnothing ∅ , A A A , X ∖ A X\setminus A X ∖ A , X X X , so 1 A \mathbf{1}_{A} 1 A is measurable.
Step 1 (an increasing sequence of compact sets). For every i ∈ N i\in\mathbb{N} i ∈ N the number 1 i + 1 \tfrac{1}{i+1} i + 1 1 is positive, so the tightness of ( μ n ) n ∈ N (\mu_{n})_{n\in\mathbb{N}} ( μ n ) n ∈ 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 L i ⊆ X L_{i}\subseteq X L i ⊆ X , compact in ( X , T d ) (X,\mathcal{T}_{d}) ( X , T d ) , with μ n ( X ∖ L i ) ≤ 1 i + 1 \mu_{n}(X\setminus L_{i})\le\tfrac{1}{i+1} μ n ( X ∖ L i ) ≤ i + 1 1 for every n ∈ N n\in\mathbb{N} n ∈ N . First, the union of two sets A , B A,B A , B compact in ( X , T d ) (X,\mathcal{T}_{d}) ( X , T d ) is compact in ( X , T d ) (X,\mathcal{T}_{d}) ( X , T d ) : an open cover ( U a ) a ∈ I (U_{a})_{a\in I} ( U a ) a ∈ I of A ∪ B A\cup B A ∪ B in X X X is an open cover of A A A and of B B B , so the implication from 1 to 2 of Compact Subset Criterion via Open Covers in the Ambient Space gives finite sets J A , J B ⊆ I J_{A},J_{B}\subseteq I J A , J B ⊆ I indexing subcovers of A A A and of B B B ; the set J A ∪ J B J_{A}\cup J_{B} J A ∪ 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 ∪ B A\cup B A ∪ B , so A ∪ B A\cup B A ∪ B is compact by the implication from 2 to 1 of the same theorem. Put K 1 = L 1 K_{1}=L_{1} K 1 = L 1 and K i + 1 = K i ∪ L i + 1 K_{i+1}=K_{i}\cup L_{i+1} K i + 1 = K i ∪ L i + 1 . By induction every K i K_{i} K i is compact in ( X , T d ) (X,\mathcal{T}_{d}) ( X , T d ) ; moreover K i ⊆ K i + 1 K_{i}\subseteq K_{i+1} K i ⊆ K i + 1 and L i ⊆ K i L_{i}\subseteq K_{i} L i ⊆ K i . By Compact Subsets of a Metric Space are Closed and Borel §borel , K i K_{i} K i and X ∖ K i X\setminus K_{i} X ∖ K i belong to B ( X ) \mathcal{B}(X) B ( X ) , and, as X ∖ L i ∈ B ( X ) X\setminus L_{i}\in\mathcal{B}(X) X ∖ L i ∈ B ( X ) by the same clause and X ∖ K i ⊆ X ∖ L i X\setminus K_{i}\subseteq X\setminus L_{i} X ∖ K i ⊆ X ∖ L i , Basic Properties of a Measure §monotone gives
μ n ( X ∖ K i ) ≤ 1 i + 1 ( n , i ∈ N ) . \mu_{n}(X\setminus K_{i})\le\tfrac{1}{i+1}\qquad(n,i\in\mathbb{N}). μ n ( X ∖ K i ) ≤ i + 1 1 ( n , i ∈ N ) .
Write d i = d K i d_{i}=d_{K_{i}} d i = d K i . By claim 2 of The Restriction of a Metric to a Subset Induces the Subspace Topology the subsets of K i K_{i} K i open in ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) are exactly the members of the subspace topology of K i K_{i} K i ; as K i K_{i} K i is compact in ( X , T d ) (X,\mathcal{T}_{d}) ( X , T d ) , Compact Topological Space and Compact Subset shows that K i K_{i} K i is compact for the topology of open subsets of the metric space ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) .
Step 2 (restricted and normalised measures). Fix n , i ∈ N n,i\in\mathbb{N} n , i ∈ N and put m n , i = μ n ( K i ) m_{n,i}=\mu_{n}(K_{i}) m n , i = μ n ( K i ) . By Basic Properties of a Measure §differences and Step 1, m n , i = 1 − μ n ( X ∖ K i ) ≥ 1 − 1 i + 1 ≥ 1 2 m_{n,i}=1-\mu_{n}(X\setminus K_{i})\ge1-\tfrac{1}{i+1}\ge\tfrac{1}{2} m n , i = 1 − μ n ( X ∖ K i ) ≥ 1 − i + 1 1 ≥ 2 1 , and m n , i ≤ μ n ( X ) = 1 m_{n,i}\le\mu_{n}(X)=1 m n , i ≤ μ n ( X ) = 1 by Basic Properties of a Measure §monotone . Let ν n , i = μ n ∣ K i \nu_{n,i}=\mu_{n}|_{K_{i}} ν n , i = μ 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 ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) with ν n , i ( K i ) = m n , i \nu_{n,i}(K_{i})=m_{n,i} ν n , i ( K i ) = m n , i . Let π n , i \pi_{n,i} π n , i be the measure γ \gamma γ 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 1 1 1 ; it is unrelated to the metric d d d of X X X ), read for ( K i , B ( K i ) ) (K_{i},\mathcal{B}(K_{i})) ( K i , B ( K i )) , α = β = ν n , i \alpha=\beta=\nu_{n,i} α = β = ν n , i , s = 1 m n , i s=\tfrac{1}{m_{n,i}} s = m n , i 1 and t = 0 t=0 t = 0 . So π n , i ( A ) = 1 m n , i ν n , i ( A ) \pi_{n,i}(A)=\tfrac{1}{m_{n,i}}\nu_{n,i}(A) π n , i ( A ) = m n , i 1 ν n , i ( A ) for A ∈ B ( K i ) A\in\mathcal{B}(K_{i}) A ∈ B ( K i ) , π n , i \pi_{n,i} π n , i is a Borel measure on ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) with π n , i ( K i ) = 1 \pi_{n,i}(K_{i})=1 π n , i ( K i ) = 1 , and for every bounded measurable u : K i → R u:K_{i}\to\mathbb{R} u : K i → R , which is integrable with respect to ν n , i \nu_{n,i} ν n , i by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space , the same claim gives
∫ K i u d ν n , i = m n , i ∫ K i u d π n , 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)} ∫ K i u d ν n , i = m n , i ∫ K i u d π n , i . (2.1)
Moreover, if f : X → R f:X\to\mathbb{R} f : X → R is measurable with ∣ f ∣ ≤ M |f|\le M ∣ f ∣ ≤ M , then f 1 K i f\mathbf{1}_{K_{i}} f 1 K i is measurable by Step 0(b), integrable with respect to μ n \mu_{n} μ n by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space , vanishes off K i K_{i} K i and restricts to f ∣ K i f|_{K_{i}} f ∣ K i on K i K_{i} K i ; so The Metric Subspace: Continuity, the Borel Sigma-Algebra, and the Restriction of a Borel Measure §integral gives
∫ X f 1 K i d μ n = ∫ K i f ∣ K i d ν n , 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)} ∫ X f 1 K i d μ n = ∫ K i f ∣ K i d ν n , i . (2.2)
Step 3 (a diagonal subsequence). (a) The real array ( m n , i ) n , i ∈ N (m_{n,i})_{n,i\in\mathbb{N}} ( m n , i ) n , i ∈ N satisfies ∣ m n , i ∣ ≤ 1 |m_{n,i}|\le1 ∣ m n , i ∣ ≤ 1 , so The Diagonal Subsequence Lemma for Bounded Real Arrays gives a strictly increasing sequence s ( 0 ) = ( s l ( 0 ) ) l ∈ N s^{(0)}=(s^{(0)}_{l})_{l\in\mathbb{N}} s ( 0 ) = ( s l ( 0 ) ) l ∈ N in N \mathbb{N} N such that for every i i i the sequence ( m s l ( 0 ) , i ) l ∈ N (m_{s^{(0)}_{l},i})_{l\in\mathbb{N}} ( m s l ( 0 ) , i ) l ∈ N converges; call its limit m i m_{i} m i .
(b) Recursively, for i ∈ N i\in\mathbb{N} i ∈ N , once the strictly increasing sequence s ( i − 1 ) 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 ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) of Step 1 and the sequence ( π s l ( i − 1 ) , i ) l ∈ N (\pi_{s^{(i-1)}_{l},i})_{l\in\mathbb{N}} ( π s l ( i − 1 ) , i ) l ∈ N of Borel measures of total mass one: it gives a strictly increasing sequence ( k l ( i ) ) l ∈ N (k^{(i)}_{l})_{l\in\mathbb{N}} ( k l ( i ) ) l ∈ N in N \mathbb{N} N and a Borel measure β i \beta_{i} β i on ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) with β i ( K i ) = 1 \beta_{i}(K_{i})=1 β i ( K i ) = 1 such that ( π s k l ( i ) ( i − 1 ) , i ) l ∈ N (\pi_{s^{(i-1)}_{k^{(i)}_{l}},i})_{l\in\mathbb{N}} ( π s k l ( i ) ( i − 1 ) , i ) l ∈ N converges weakly to β i \beta_{i} β i . Put s l ( i ) = s k l ( i ) ( i − 1 ) s^{(i)}_{l}=s^{(i-1)}_{k^{(i)}_{l}} s l ( i ) = s k l ( i ) ( i − 1 ) ; the sequence s ( i ) 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' 0 ≤ i ≤ i ′ and every l ∈ N l\in\mathbb{N} l ∈ N there is l ′ ∈ N l'\in\mathbb{N} l ′ ∈ N with l ≤ l ′ l\le l' l ≤ l ′ and s l ( i ′ ) = s l ′ ( i ) s^{(i')}_{l}=s^{(i)}_{l'} s l ( i ′ ) = s l ′ ( i ) . This is clear for i ′ = i i'=i i ′ = i (take l ′ = l l'=l l ′ = l ). If it holds for i ′ i' i ′ , then s l ( i ′ + 1 ) = s k ( i ′ ) s^{(i'+1)}_{l}=s^{(i')}_{k} s l ( i ′ + 1 ) = s k ( i ′ ) with k = k l ( i ′ + 1 ) ≥ l k=k^{(i'+1)}_{l}\ge l k = k l ( i ′ + 1 ) ≥ l by Strictly Increasing Sequences of Natural Numbers Dominate Their Index , and the hypothesis for i ′ i' i ′ applied to the index k k k gives l ′ ≥ k ≥ l l'\ge k\ge l l ′ ≥ k ≥ l with s k ( i ′ ) = s l ′ ( i ) s^{(i')}_{k}=s^{(i)}_{l'} s k ( i ′ ) = s l ′ ( i ) .
(d) Put n j = s j ( j ) n_{j}=s^{(j)}_{j} n j = s j ( j ) for j ∈ N j\in\mathbb{N} j ∈ N . By (c) with i = j i=j i = j , i ′ = j + 1 i'=j+1 i ′ = j + 1 , there is l ′ ≥ j + 1 l'\ge j+1 l ′ ≥ j + 1 with n j + 1 = s l ′ ( j ) n_{j+1}=s^{(j)}_{l'} n j + 1 = s l ′ ( j ) , and s j ( j ) < s l ′ ( j ) s^{(j)}_{j}<s^{(j)}_{l'} s j ( j ) < s l ′ ( j ) by claim 1 of A Subsequence of a Subsequence is a Subsequence ; so ( n j ) j ∈ N (n_{j})_{j\in\mathbb{N}} ( n j ) j ∈ N is strictly increasing.
(e) Let i ≥ 0 i\ge0 i ≥ 0 be an integer and ( c n ) n ∈ N (c_{n})_{n\in\mathbb{N}} ( c n ) n ∈ N a real sequence such that ( c s l ( i ) ) l ∈ N (c_{s^{(i)}_{l}})_{l\in\mathbb{N}} ( c s l ( i ) ) l ∈ N converges to L L L . Then ( c n j ) j ∈ N (c_{n_{j}})_{j\in\mathbb{N}} ( c n j ) j ∈ N converges to L L L . Given a positive real ε \varepsilon ε , Limit of a Sequence of Real Numbers gives N N N with ∣ c s l ( i ) − L ∣ < ε |c_{s^{(i)}_{l}}-L|<\varepsilon ∣ c s l ( i ) − L ∣ < ε for l ≥ N l\ge N l ≥ N . For j ≥ max ( i , N ) j\ge\max(i,N) j ≥ max ( i , N ) , (c) with i ′ = j i'=j i ′ = j gives l ′ ≥ j ≥ N l'\ge j\ge N l ′ ≥ j ≥ N with n j = s l ′ ( i ) n_{j}=s^{(i)}_{l'} n j = s l ′ ( i ) , so ∣ c n j − L ∣ < ε |c_{n_{j}}-L|<\varepsilon ∣ c n j − L ∣ < ε .
(f) Consequences. Fix i ∈ N i\in\mathbb{N} i ∈ N . By (a) and (e) with stage 0 0 0 , ( m n j , i ) j ∈ N (m_{n_{j},i})_{j\in\mathbb{N}} ( m n j , i ) j ∈ N converges to m i m_{i} m i ; since 1 − 1 i + 1 ≤ m n , i ≤ 1 1-\tfrac{1}{i+1}\le m_{n,i}\le1 1 − i + 1 1 ≤ m n , i ≤ 1 for all n n n , claim 1 of Order Properties of Limits of Real Sequences gives 1 − 1 i + 1 ≤ m i ≤ 1 1-\tfrac{1}{i+1}\le m_{i}\le1 1 − i + 1 1 ≤ m i ≤ 1 . Let u : K i → R u:K_{i}\to\mathbb{R} u : K i → R be bounded and continuous on ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) ; it is measurable by claim 3 of Borel Measurability and Bounded Integration on a Metric Space applied to ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) , so (2.1) applies to it. By (b) and Weak Convergence of Finite Borel Measures on a Metric Space , ( ∫ K i u d π s l ( i ) , i ) l ∈ N \bigl(\int_{K_{i}}u\,d\pi_{s^{(i)}_{l},i}\bigr)_{l\in\mathbb{N}} ( ∫ K i u d π s l ( i ) , i ) l ∈ N converges to ∫ K i u d β i \int_{K_{i}}u\,d\beta_{i} ∫ K i u d β i , so by (e) with stage i i i , ( ∫ K i u d π n j , i ) j ∈ N \bigl(\int_{K_{i}}u\,d\pi_{n_{j},i}\bigr)_{j\in\mathbb{N}} ( ∫ K i u d π n j , i ) j ∈ N converges to the same limit. By (2.1) and Arithmetic of Limits of Real Sequences §products ,
∫ K i u d ν n j , i ⟶ m i ∫ K i u d β i ( 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)} ∫ K i u d ν n j , i ⟶ m i ∫ K i u d β i ( j → ∞ ) . (3.1)
The sequence ( n j ) j ∈ N (n_{j})_{j\in\mathbb{N}} ( n j ) j ∈ N is fixed from now on.
Step 4 (the limit measures on the compact sets, and their extensions). Fix i ∈ N i\in\mathbb{N} i ∈ N . Let α i \alpha_{i} α i be the measure γ \gamma γ of Nonnegative Combinations of Two Finite Measures, and the Average of Two Couplings §combination read for ( K i , B ( K i ) ) (K_{i},\mathcal{B}(K_{i})) ( K i , B ( K i )) , α = β = β i \alpha=\beta=\beta_{i} α = β = β i , s = m i s=m_{i} s = m i , t = 0 t=0 t = 0 . It is a Borel measure on ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) with α i ( K i ) = m i \alpha_{i}(K_{i})=m_{i} α i ( K i ) = m i and ∫ K i u d α i = m i ∫ K i u d β i \int_{K_{i}}u\,d\alpha_{i}=m_{i}\int_{K_{i}}u\,d\beta_{i} ∫ K i u d α i = m i ∫ K i u d β i for bounded measurable u u u (integrable with respect to β i \beta_{i} β i by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space ). So (3.1) reads: ∫ K i u d ν n j , i → ∫ K i u d α i \int_{K_{i}}u\,d\nu_{n_{j},i}\to\int_{K_{i}}u\,d\alpha_{i} ∫ K i u d ν n j , i → ∫ K i u d α i for every bounded u u u continuous on ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) , such u u u being measurable by claim 3 of Borel Measurability and Bounded Integration on a Metric Space .
Let ι i : K i → X \iota_{i}:K_{i}\to X ι i : K i → X be the inclusion. Since d ( ι i ( y ) , ι i ( x ) ) = d i ( x , y ) d(\iota_{i}(y),\iota_{i}(x))=d_{i}(x,y) d ( ι i ( y ) , ι 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 δ = ε , so ι i \iota_{i} ι i is continuous on K i K_{i} K i as a map from ( K i , d i ) (K_{i},d_{i}) ( K i , d i ) to ( X , d ) (X,d) ( X , d ) , hence measurable with respect to B ( K i ) \mathcal{B}(K_{i}) B ( K i ) and B ( X ) \mathcal{B}(X) B ( X ) by claim 3 of Borel Measurability and Bounded Integration on a Metric Space . Let α ˉ i \bar{\alpha}_{i} α ˉ i be the image measure of α i \alpha_{i} α i under ι i \iota_{i} ι i , formed by claim 1 of Image Measures, Measures with Densities, and Change of Variables : a Borel measure on ( X , d ) (X,d) ( X , d ) with α ˉ i ( B ) = α i ( B ∩ K i ) \bar{\alpha}_{i}(B)=\alpha_{i}(B\cap K_{i}) α ˉ i ( B ) = α i ( B ∩ K i ) for B ∈ B ( X ) B\in\mathcal{B}(X) B ∈ B ( X ) and α ˉ i ( X ) = α i ( K i ) = m i ≤ 1 \bar{\alpha}_{i}(X)=\alpha_{i}(K_{i})=m_{i}\le1 α ˉ i ( X ) = α i ( K i ) = m i ≤ 1 . For bounded measurable f : X → R f:X\to\mathbb{R} f : X → R , integrable with respect to α ˉ i \bar{\alpha}_{i} α ˉ 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 ∘ ι i = f ∣ K i f\circ\iota_{i}=f|_{K_{i}} f ∘ ι i = f ∣ K i ,
∫ X f d α ˉ i = ∫ K i f ∣ K i d α i . (4.1) \int_{X}f\,d\bar{\alpha}_{i}=\int_{K_{i}}f|_{K_{i}}\,d\alpha_{i}. \qquad\text{(4.1)} ∫ X f d α ˉ i = ∫ K i f ∣ K i d α i . (4.1)
Now let f : X → R f:X\to\mathbb{R} f : X → R be bounded, with bound M M M , and continuous on X X X . Then f f f is measurable by claim 3 of Borel Measurability and Bounded Integration on a Metric Space . The map f ∣ K i f|_{K_{i}} f ∣ K i is continuous on K i K_{i} K i as a map from ( X , d ) (X,d) ( X , d ) , directly from Continuous Map Between Metric Spaces (the δ \delta δ that works at a point for X X X works for K i ⊆ X K_{i}\subseteq X K i ⊆ X ), hence continuous on ( K i , d i ) (K_{i},d_{i}) ( 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 M M M . Combining (2.2), the reading of (3.1) above, and (4.1),
∫ X f 1 K i d μ n j ⟶ ∫ X f d α ˉ i ( 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)} ∫ X f 1 K i d μ n j ⟶ ∫ X f d α ˉ i ( j → ∞ ) . (4.2)
Step 5 (the extensions increase with i i i ). Fix i ∈ N i\in\mathbb{N} i ∈ N . (a) Let h : X → R h:X\to\mathbb{R} h : X → R be bounded, continuous on X X X and nonnegative. Since K i ⊆ K i + 1 K_{i}\subseteq K_{i+1} K i ⊆ K i + 1 we have h 1 K i ≤ h 1 K i + 1 h\mathbf{1}_{K_{i}}\le h\mathbf{1}_{K_{i+1}} h 1 K i ≤ h 1 K i + 1 pointwise, so claim 2 of Linearity and Monotonicity of the Lebesgue Integral gives ∫ X h 1 K i d μ n ≤ ∫ X h 1 K i + 1 d μ n \int_{X}h\mathbf{1}_{K_{i}}\,d\mu_{n}\le\int_{X}h\mathbf{1}_{K_{i+1}}\,d\mu_{n} ∫ X h 1 K i d μ n ≤ ∫ X h 1 K i + 1 d μ n for every n n n . Along ( n j ) (n_{j}) ( n j ) both sides converge by (4.2), so claim 1 of Order Properties of Limits of Real Sequences gives ∫ X h d α ˉ i ≤ ∫ X h d α ˉ i + 1 \int_{X}h\,d\bar{\alpha}_{i}\le\int_{X}h\,d\bar{\alpha}_{i+1} ∫ X h d α ˉ i ≤ ∫ X h d α ˉ i + 1 .
(b) Let B ∈ B ( X ) B\in\mathcal{B}(X) B ∈ B ( X ) and let ε \varepsilon ε be a positive real number. Let λ \lambda λ be the measure γ \gamma γ of Nonnegative Combinations of Two Finite Measures, and the Average of Two Couplings §combination for ( X , B ( X ) ) (X,\mathcal{B}(X)) ( X , B ( X )) , α = α ˉ i \alpha=\bar{\alpha}_{i} α = α ˉ i , β = α ˉ i + 1 \beta=\bar{\alpha}_{i+1} β = α ˉ i + 1 , s = t = 1 s=t=1 s = t = 1 ; it is a Borel measure on ( X , d ) (X,d) ( X , d ) with λ ( X ) = m i + m i + 1 < ∞ \lambda(X)=m_{i}+m_{i+1}<\infty λ ( X ) = m i + m i + 1 < ∞ and λ ( A ) = α ˉ i ( A ) + α ˉ i + 1 ( A ) \lambda(A)=\bar{\alpha}_{i}(A)+\bar{\alpha}_{i+1}(A) λ ( A ) = α ˉ i ( A ) + α ˉ i + 1 ( A ) . Since X X X 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 λ , B B B and ε \varepsilon ε , gives a Lipschitz map h : X → R h:X\to\mathbb{R} h : X → R with 0 ≤ h ≤ 1 0\le h\le1 0 ≤ h ≤ 1 and a set N ∈ B ( X ) N\in\mathcal{B}(X) N ∈ B ( X ) with λ ( N ) ≤ ε \lambda(N)\le\varepsilon λ ( N ) ≤ ε such that h = 1 B h=\mathbf{1}_{B} h = 1 B on X ∖ N X\setminus N X ∖ N . The map h h h is continuous on X X X by A Lipschitz Map is Uniformly Continuous , so (a) applies to it. Let α ˉ \bar{\alpha} α ˉ be α ˉ i \bar{\alpha}_{i} α ˉ i or α ˉ i + 1 \bar{\alpha}_{i+1} α ˉ i + 1 . The functions h h h and 1 B \mathbf{1}_{B} 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 α ˉ \bar{\alpha} α ˉ by claim 6(b) of that lemma, and ∫ X 1 B d α ˉ = α ˉ ( B ) \int_{X}\mathbf{1}_{B}\,d\bar{\alpha}=\bar{\alpha}(B) ∫ X 1 B d α ˉ = α ˉ ( 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 − 1 B w=h-\mathbf{1}_{B} w = h − 1 B is integrable, in particular measurable by Integrable Function and the Lebesgue Integral , and ∫ X h d α ˉ − α ˉ ( B ) = ∫ X w d α ˉ \int_{X}h\,d\bar{\alpha}-\bar{\alpha}(B)=\int_{X}w\,d\bar{\alpha} ∫ X h d α ˉ − α ˉ ( B ) = ∫ X w d α ˉ . Since ∣ w ∣ ≤ 1 |w|\le1 ∣ w ∣ ≤ 1 and w = 0 w=0 w = 0 off N N N , Step 0(a) gives ∣ ∫ X w d α ˉ ∣ ≤ α ˉ ( N ) ≤ λ ( N ) ≤ ε \bigl|\int_{X}w\,d\bar{\alpha}\bigr|\le\bar{\alpha}(N)\le\lambda(N)\le\varepsilon ∫ X w d α ˉ ≤ α ˉ ( N ) ≤ λ ( N ) ≤ ε . Hence, using (a),
α ˉ i ( B ) ≤ ∫ X h d α ˉ i + ε ≤ ∫ X h d α ˉ i + 1 + ε ≤ α ˉ i + 1 ( B ) + 2 ε . \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 . α ˉ i ( B ) ≤ ∫ X h d α ˉ i + ε ≤ ∫ X h d α ˉ i + 1 + ε ≤ α ˉ i + 1 ( B ) + 2 ε .
As ε \varepsilon ε was arbitrary, claim 1 of Comparison of Real Numbers with Arbitrary Positive Slack gives α ˉ i ( B ) ≤ α ˉ i + 1 ( B ) \bar{\alpha}_{i}(B)\le\bar{\alpha}_{i+1}(B) α ˉ i ( B ) ≤ α ˉ i + 1 ( B ) . By induction, α ˉ i ( B ) ≤ α ˉ i ′ ( B ) \bar{\alpha}_{i}(B)\le\bar{\alpha}_{i'}(B) α ˉ i ( B ) ≤ α ˉ i ′ ( B ) whenever i ≤ i ′ i\le i' i ≤ i ′ .
(c) Let i ≤ i ′ i\le i' i ≤ i ′ and B ∈ B ( X ) B\in\mathcal{B}(X) B ∈ B ( X ) . By Basic Properties of a Measure §additivity , m i = α ˉ i ( B ) + α ˉ i ( X ∖ B ) m_{i}=\bar{\alpha}_{i}(B)+\bar{\alpha}_{i}(X\setminus B) m i = α ˉ i ( B ) + α ˉ i ( X ∖ B ) and m i ′ = α ˉ i ′ ( B ) + α ˉ i ′ ( X ∖ B ) m_{i'}=\bar{\alpha}_{i'}(B)+\bar{\alpha}_{i'}(X\setminus B) m i ′ = α ˉ i ′ ( B ) + α ˉ i ′ ( X ∖ B ) , all terms real. Subtracting and using (b) for X ∖ B X\setminus B X ∖ B , and Step 3(f),
0 ≤ α ˉ i ′ ( B ) − α ˉ i ( B ) ≤ m i ′ − m i ≤ 1 − ( 1 − 1 i + 1 ) = 1 i + 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)} 0 ≤ α ˉ i ′ ( B ) − α ˉ i ( B ) ≤ m i ′ − m i ≤ 1 − ( 1 − i + 1 1 ) = i + 1 1 . (5.1)
Step 6 (the limit measure). For B ∈ B ( X ) B\in\mathcal{B}(X) B ∈ B ( X ) the set { α ˉ i ( B ) : i ∈ N } \{\bar{\alpha}_{i}(B):i\in\mathbb{N}\} { α ˉ i ( B ) : i ∈ N } is nonempty and bounded above by 1 1 1 (by Basic Properties of a Measure §monotone , α ˉ i ( B ) ≤ m i ≤ 1 \bar{\alpha}_{i}(B)\le m_{i}\le1 α ˉ i ( B ) ≤ m i ≤ 1 ); let μ ( B ) \mu(B) μ ( B ) be its least upper bound. For every i i i , (5.1) shows that α ˉ i ( B ) + 1 i + 1 \bar{\alpha}_{i}(B)+\tfrac{1}{i+1} α ˉ i ( B ) + i + 1 1 is an upper bound of α ˉ i ′ ( B ) \bar{\alpha}_{i'}(B) α ˉ i ′ ( B ) for i ′ ≥ i i'\ge i i ′ ≥ i , and by Step 5(b) also for i ′ < i i'<i i ′ < i ; hence
0 ≤ μ ( B ) − α ˉ i ( B ) ≤ 1 i + 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)} 0 ≤ μ ( B ) − α ˉ i ( B ) ≤ i + 1 1 ( i ∈ N ) , (6.1)
and ( α ˉ i ( B ) ) i ∈ N (\bar{\alpha}_{i}(B))_{i\in\mathbb{N}} ( α ˉ i ( B ) ) i ∈ N converges to μ ( B ) \mu(B) μ ( B ) by claim 3 of Order Properties of Limits of Real Sequences , the sequence ( 1 i + 1 ) i ∈ N (\tfrac{1}{i+1})_{i\in\mathbb{N}} ( i + 1 1 ) i ∈ N converging to 0 0 0 by claim 3 of The Archimedean Property of the Real Numbers (for a positive real ε \varepsilon ε it gives n n n with 1 n < ε \tfrac{1}{n}<\varepsilon n 1 < ε , and then 1 i + 1 < 1 n < ε \tfrac{1}{i+1}<\tfrac{1}{n}<\varepsilon i + 1 1 < n 1 < ε for i ≥ n i\ge n i ≥ n ).
We check Measure, Measure Space, and Probability Measure . First μ ( ∅ ) = 0 \mu(\varnothing)=0 μ ( ∅ ) = 0 , as every α ˉ i ( ∅ ) = 0 \bar{\alpha}_{i}(\varnothing)=0 α ˉ i ( ∅ ) = 0 . Let ( B k ) k ∈ N (B_{k})_{k\in\mathbb{N}} ( B k ) k ∈ N be pairwise disjoint members of B ( X ) \mathcal{B}(X) B ( X ) with union B B B . For p ∈ N p\in\mathbb{N} p ∈ N and every i i i , Basic Properties of a Measure §additivity and Basic Properties of a Measure §monotone give ∑ k = 1 p α ˉ i ( B k ) = α ˉ i ( ⋃ k = 1 p B k ) ≤ α ˉ i ( 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) ∑ k = 1 p α ˉ i ( B k ) = α ˉ i ( ⋃ k = 1 p B k ) ≤ α ˉ i ( B ) ≤ μ ( B ) ; letting i → ∞ i\to\infty i → ∞ , 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 = 1 p μ ( B k ) ≤ μ ( B ) \sum_{k=1}^{p}\mu(B_{k})\le\mu(B) ∑ k = 1 p μ ( B k ) ≤ μ ( B ) . So the partial sums of ∑ k μ ( B k ) \sum_{k}\mu(B_{k}) ∑ k μ ( B k ) are bounded above, and by Measure, Measure Space, and Probability Measure the sum S = ∑ k μ ( B k ) S=\sum_{k}\mu(B_{k}) S = ∑ k μ ( B k ) is their least upper bound, with S ≤ μ ( B ) S\le\mu(B) S ≤ μ ( B ) . Conversely, for every i i i , the countable additivity of α ˉ i \bar{\alpha}_{i} α ˉ i and Measure, Measure Space, and Probability Measure show that α ˉ i ( B ) \bar{\alpha}_{i}(B) α ˉ i ( B ) is the least upper bound of the partial sums ∑ k = 1 p α ˉ i ( B k ) \sum_{k=1}^{p}\bar{\alpha}_{i}(B_{k}) ∑ k = 1 p α ˉ i ( B k ) , each of which is at most ∑ k = 1 p μ ( B k ) ≤ S \sum_{k=1}^{p}\mu(B_{k})\le S ∑ k = 1 p μ ( B k ) ≤ S termwise by (6.1); so α ˉ i ( B ) ≤ S \bar{\alpha}_{i}(B)\le S α ˉ i ( B ) ≤ S for every i i i , whence μ ( B ) ≤ S \mu(B)\le S μ ( B ) ≤ S . Thus μ ( B ) = ∑ k μ ( B k ) \mu(B)=\sum_{k}\mu(B_{k}) μ ( B ) = ∑ k μ ( B k ) , and μ \mu μ is a Borel measure on ( X , d ) (X,d) ( X , d ) by Borel Measure on a Metric Space . Finally μ ( X ) \mu(X) μ ( X ) is the least upper bound of the numbers m i m_{i} m i , which satisfy 1 − 1 i + 1 ≤ m i ≤ 1 1-\tfrac{1}{i+1}\le m_{i}\le1 1 − i + 1 1 ≤ m i ≤ 1 by Step 3(f); so μ ( X ) ≤ 1 \mu(X)\le1 μ ( X ) ≤ 1 , and for every positive real ε \varepsilon ε some i i i has 1 i + 1 < ε \tfrac{1}{i+1}<\varepsilon i + 1 1 < ε by claim 3 of The Archimedean Property of the Real Numbers , giving 1 − ε ≤ μ ( X ) 1-\varepsilon\le\mu(X) 1 − ε ≤ μ ( X ) ; claim 2 of Comparison of Real Numbers with Arbitrary Positive Slack yields μ ( X ) = 1 \mu(X)=1 μ ( X ) = 1 .
Step 7 (the defect measures). Fix i ∈ N i\in\mathbb{N} i ∈ N and put ρ i ( B ) = μ ( B ) − α ˉ i ( B ) \rho_{i}(B)=\mu(B)-\bar{\alpha}_{i}(B) ρ i ( B ) = μ ( B ) − α ˉ i ( B ) for B ∈ B ( X ) B\in\mathcal{B}(X) B ∈ B ( X ) , a real number in the interval from 0 0 0 to 1 i + 1 \tfrac{1}{i+1} i + 1 1 by (6.1). Then ρ i ( ∅ ) = 0 \rho_{i}(\varnothing)=0 ρ i ( ∅ ) = 0 . For pairwise disjoint ( B k ) k ∈ N (B_{k})_{k\in\mathbb{N}} ( B k ) k ∈ N in B ( X ) \mathcal{B}(X) B ( X ) with union B B B , the partial sums of ∑ k μ ( B k ) \sum_{k}\mu(B_{k}) ∑ k μ ( B k ) and of ∑ k α ˉ i ( B k ) \sum_{k}\bar{\alpha}_{i}(B_{k}) ∑ k α ˉ i ( B k ) converge to μ ( B ) \mu(B) μ ( B ) and to α ˉ i ( B ) \bar{\alpha}_{i}(B) α ˉ 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 ∑ k ρ i ( B k ) \sum_{k}\rho_{i}(B_{k}) ∑ k ρ i ( B k ) converge to ρ i ( B ) \rho_{i}(B) ρ i ( B ) , and by Series of Nonnegative Real Numbers, Comparison, and the Geometric Series §criterion the least upper bound of these partial sums is ρ i ( B ) \rho_{i}(B) ρ i ( B ) . By Measure, Measure Space, and Probability Measure , ρ i \rho_{i} ρ i is a measure on ( X , B ( X ) ) (X,\mathcal{B}(X)) ( X , B ( X )) , with ρ i ( X ) ≤ 1 i + 1 \rho_{i}(X)\le\tfrac{1}{i+1} ρ i ( X ) ≤ i + 1 1 . Since μ ( A ) = α ˉ i ( A ) + ρ i ( A ) \mu(A)=\bar{\alpha}_{i}(A)+\rho_{i}(A) μ ( A ) = α ˉ i ( A ) + ρ i ( A ) for every A ∈ B ( X ) A\in\mathcal{B}(X) A ∈ B ( X ) , μ \mu μ is the measure γ \gamma γ of Nonnegative Combinations of Two Finite Measures, and the Average of Two Couplings §combination for α = α ˉ i \alpha=\bar{\alpha}_{i} α = α ˉ i , β = ρ i \beta=\rho_{i} β = ρ i , s = t = 1 s=t=1 s = t = 1 . Hence for every measurable f : X → R f:X\to\mathbb{R} f : X → R with ∣ f ∣ ≤ M |f|\le M ∣ f ∣ ≤ M , integrable with respect to α ˉ i \bar{\alpha}_{i} α ˉ i and ρ i \rho_{i} ρ i by claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space , that claim gives ∫ X f d μ = ∫ X f d α ˉ i + ∫ X f d ρ i \int_{X}f\,d\mu=\int_{X}f\,d\bar{\alpha}_{i}+\int_{X}f\,d\rho_{i} ∫ X f d μ = ∫ X f d α ˉ i + ∫ X f d ρ i , and claim 6(b) of Borel Measurability and Bounded Integration on a Metric Space gives
∣ ∫ X f d μ − ∫ X f d α ˉ i ∣ = ∣ ∫ X f d ρ i ∣ ≤ M ρ i ( X ) ≤ M i + 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)} ∫ X f d μ − ∫ X f d α ˉ i = ∫ X f d ρ i ≤ M ρ i ( X ) ≤ i + 1 M . (7.1)
Step 8 (weak convergence). Let f : X → R f:X\to\mathbb{R} f : X → R be bounded , with bound M M M , and continuous on X X X ; it is measurable by claim 3 of Borel Measurability and Bounded Integration on a Metric Space and integrable with respect to every μ n \mu_{n} μ n and μ \mu μ by claim 6(b) of that lemma. Let η \eta η be a positive real number. The choices are made in this order: η \eta η , then i i i , then N N N . By claim 3 of The Archimedean Property of the Real Numbers choose i ∈ N i\in\mathbb{N} i ∈ N with 1 i < η 4 M + 1 \tfrac{1}{i}<\tfrac{\eta}{4M+1} i 1 < 4 M + 1 η , so that 2 M i + 1 < η 2 \tfrac{2M}{i+1}<\tfrac{\eta}{2} i + 1 2 M < 2 η . For every n n n , f = f 1 K i + f 1 X ∖ K i f=f\mathbf{1}_{K_{i}}+f\mathbf{1}_{X\setminus K_{i}} f = f 1 K i + f 1 X ∖ K i , where both summands are measurable by Step 0(b) and bounded by M M M ; by claim 2 of Linearity and Monotonicity of the Lebesgue Integral and Step 0(a), applied with Z = X Z=X Z = X , ν = μ n \nu=\mu_{n} ν = μ n , A = X ∖ K i A=X\setminus K_{i} A = X ∖ K i and u = f 1 X ∖ K i u=f\mathbf{1}_{X\setminus K_{i}} u = f 1 X ∖ K i , and by Step 1,
∣ ∫ X f d μ n − ∫ X f 1 K i d μ n ∣ ≤ M μ n ( X ∖ K i ) ≤ M i + 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}. ∫ X f d μ n − ∫ X f 1 K i d μ n ≤ M μ n ( X ∖ K i ) ≤ i + 1 M .
By (4.2) and Limit of a Sequence of Real Numbers there is N ∈ N N\in\mathbb{N} N ∈ N with ∣ ∫ X f 1 K i d μ n j − ∫ X f d α ˉ i ∣ < η 2 \bigl|\int_{X}f\mathbf{1}_{K_{i}}\,d\mu_{n_{j}}-\int_{X}f\,d\bar{\alpha}_{i}\bigr|<\tfrac{\eta}{2} ∫ X f 1 K i d μ n j − ∫ X f d α ˉ i < 2 η for all j ≥ N j\ge N j ≥ N . For such j j j , the last display with n = n j n=n_{j} n = n j , this bound and (7.1), combined by the triangle inequality for the absolute value, give
∣ ∫ X f d μ n j − ∫ X f d μ ∣ < M i + 1 + η 2 + M i + 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 . ∫ X f d μ n j − ∫ X f d μ < i + 1 M + 2 η + i + 1 M < η .
As η \eta η was arbitrary, ( ∫ X f d μ n j ) j ∈ N \bigl(\int_{X}f\,d\mu_{n_{j}}\bigr)_{j\in\mathbb{N}} ( ∫ X f d μ n j ) j ∈ N converges to ∫ X f d μ \int_{X}f\,d\mu ∫ X f d μ ; as f f f was arbitrary, ( μ n j ) j ∈ N (\mu_{n_{j}})_{j\in\mathbb{N}} ( μ n j ) j ∈ N converges weakly to μ \mu μ 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 ( n j ) j ∈ N (n_{j})_{j\in\mathbb{N}} ( n j ) j ∈ N and the Borel measure μ \mu μ with μ ( X ) = 1 \mu(X)=1 μ ( X ) = 1 are as claimed.