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Partially one-homogeneous signed measure projection

Definition

Let (Θ,T) be a measurable space and let μ be a finite nonnegative measure on (R×Θ,B(R)⊗T) such that ∫∣w∣dμ(w,θ)<∞. Set w+=max⁡(w,0) and w−=max⁡(−w,0), and define finite nonnegative measures on Θ by

αμ(B)=∫R×Bw+dμ,βμ(B)=∫R×Bw−dμ(B∈T).

The partially one-homogeneous signed projection is

h1(μ)=αμ−βμ,h1(μ)(B)=∫R×Bw dμ(w,θ).

It is a finite signed measure. For every bounded measurable φ:Θ→R, define its integral against this signed projection by

∫Θφ dh1(μ):=∫Θφdαμ−∫Θφdβμ=∫R×Θwφ(θ)dμ(w,θ).

Put λμ=αμ+βμ, so λμ(B)=∫R×B∣w∣dμ. Its total variation satisfies ∣h1(μ)∣(B)≤λμ(B) for every B∈T. Therefore ∫V~d∣h1(μ)∣≤∫∣w∣V~(θ)dμ for every bounded nonnegative measurable V~.

If H is a separable real Hilbert space and φ:Θ→H is bounded and is the pointwise norm limit on all of Θ of a sequence of T-measurable finite-valued simple functions, then for every z∈H the feature moment satisfies ⟨z,∫wφ(θ)dμ⟩=∫⟨z,φ(θ)⟩dh1(μ), with the scalar integral defined above. The raw measures αμ and βμ record positive and negative parameter weights before cancellation and need not be mutually singular; for example, if μ assigns mass one to each of (1,θ0) and (−1,θ0) and zero elsewhere, then αμ=βμ both assign mass one to θ0 while h1(μ)=0. Thus the signed projection does not by itself determine a penalty of the form ∫∣w∣V~(θ)dμ.

Facts & Assumptions

Given: (Θ,T), μ, and the integrability assumption in the Definition.

[F1]

For a nonnegative measurable f, the set function B↦∫R×Bf(w,θ)dμ is a measure. The indefinite integral of a nonnegative measurable function is a measure

[F2]

The nonnegative integral is monotone, so 0≤w+,w−≤∣w∣ implies each of these measures has total mass at most ∫∣w∣dμ. Monotonicity and nonnegative homogeneity of the nonnegative integral

[F3]

A signed measure is a countably additive set function taking at most one infinite value; in particular a finite difference of finite measures is a finite signed measure. A signed measure is countably additive and takes at most one infinite value

[F4]

Total variation is the supremum of sums over countable measurable partitions. The total variation |nu|(E) from countable measurable partitions

[F5]

The Lebesgue integral is linear on integrable functions. The Lebesgue integral is linear on L1(μ)

[F6]

A strongly measurable Banach-valued function is Bochner integrable exactly when its norm has finite integral. Bochner integrability criterion

[F7]

Bounded linear maps commute with Bochner integration. Bounded linear maps commute with Bochner integration

Proof

Given: The measurable space and measure in the Definition.

1.1givenF1F2

The coordinate w is measurable, so w+ and w− are nonnegative measurable functions. By [F1], αμ and βμ are measures, and [F2] gives αμ(Θ),βμ(Θ)≤∫∣w∣dμ<∞.

2.1F3F4F5givenstep 1.1algebra

For each measurable B, w=w+−w− and both integrals are finite, so ∫R×Bwdμ=αμ(B)−βμ(B). Countable additivity of both finite measures makes their difference countably additive with finite real values, hence a finite signed measure by [F3]. For every B∈T and every countable measurable partition (Bj) of B, ∑j∣h1(μ)(Bj)∣≤∑j(αμ(Bj)+βμ(Bj))=αμ(B)+βμ(B); taking the supremum in [F4] proves the stated pointwise total-variation bound. The weighted penalty inequality follows by monotonicity of the nonnegative integral, first for simple nonnegative weights and then by increasing simple approximation. For a finite-valued simple φ, linearity [F5] and the definitions of αμ,βμ give ∫φdαμ−∫φdβμ=∫wφdμ. For general bounded measurable φ, choose M with ∣φ∣≤M and partition [−M,M] into finitely many intervals of length at most 1/n; assigning one endpoint on each measurable inverse image gives a finite-valued simple φn with ∥φn−φ∥∞≤1/n. The errors in the two αμ,βμ integrals are at most (αμ(Θ)+βμ(Θ))/n, and the error in the wφ integral is at most ∫∣w∣dμ/n. Letting n→∞ proves the identity.

3.1F2F6F7givenstep 2.1∎

Let φ:Θ→H have the bounded everywhere simple approximation specified in the Definition. Its approximants pulled back to the product, multiplied by scalar simple functions converging everywhere to w, show that wφ(θ) is strongly measurable; moreover ∥wφ(θ)∥≤∣w∣∥φ∥∞, so [F6] makes it Bochner integrable. For each z∈H, [F7] moves the bounded functional x↦⟨z,x⟩ inside that Bochner integral, and step 2.1 identifies the resulting scalar integral with the pairing in the Definition. Equality of all inner products proves the displayed feature-moment factorization.

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