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The weighted total-variation measure space is complete

Statement

The normed vector space Mw(E) of Weighted total-variation space for population measures is complete.

Facts & Assumptions

Given: E=[a,∞), w(x)=1+x2, and Mw(E) with norm ∥σ∥w=∫w d∣σ∣.

[F1]

Weighted total-variation space for population measures: Mw(E) consists of finite signed Borel measures with ∫w d∣σ∣<∞, and ∥σ∥w=∫w d∣σ∣.

Proof

1.1givenF1algebra

The map J:σ↦wσ is linear. Multiplication by the positive function w gives ∣wσ∣=w∣σ∣, so [F1] yields ∥Jσ∥TV=∥σ∥w. It is onto because for any finite signed measure η, σ=w−1η satisfies Jσ=η and ∥σ∥w=∫w d∣w−1η∣=∥η∥TV.

1.2givenchoose

Let (ηn) be Cauchy in total variation. Choose increasing indices nj with ∥ηnj+1−ηnj∥TV≤2−j, taking the least qualifying index at each step. For each Borel set A, the series ηn1(A)+∑j≥1(ηnj+1−ηnj)(A) converges absolutely, uniformly in A, because each summand is bounded by its total-variation norm. Define η(A) by that sum. If (Ak) are disjoint, the double series of absolute values is bounded by ∥ηn1∥TV+∑j∥ηnj+1−ηnj∥TV, so the two countable sums may be interchanged; hence η is countably additive. The same tail bound gives ∥η−ηnj∥TV≤∑r≥j2−r→0. Given ε>0, choose j so this is below ε/2 and the Cauchy property gives ∥ηn−ηm∥TV<ε/2 for all n,m≥nj. For any n≥nj, choose nk≥nj and pass to the limit in ∥ηn−ηnk∥TV<ε/2; since ηnk→η, this gives ∥ηn−η∥TV≤ε/2<ε. Thus finite signed measures are complete in total variation.

2.1step 1.1step 1.2∎

Pulling the limit η back through the inverse isometry w−1 gives a limit in Mw(E) for every Cauchy sequence there.

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