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Relaxed objective for a partially one-homogeneous projection

Definition

Assume AC. Let (Θ,T) be a measurable space, let H be a real Hilbert space, let R:H→[0,∞) be convex and differentiable, let φ:Θ→H be bounded and the pointwise norm limit on all of Θ of a sequence of T-measurable, finite-valued simple functions, and let V~:Θ→[0,∞) be bounded and measurable. For each finite signed measure ν on Θ with ∣ν∣(Θ)<∞, write ν=ν+−ν− for its Jordan decomposition into mutually singular finite nonnegative measures, so ∣ν∣=ν++ν−. Define mν:=∫φdν:=∫φdν+−∫φdν−. Both Bochner integrals exist because the same simple approximation makes φ strongly measurable for every measure on (Θ,T), while boundedness makes its norm integrable for each finite measure. Scalar integrals against ν use the corresponding signed-measure integral. Assume Φ(w,θ)=wφ(θ) and V(w,θ)=∣w∣V~(θ). Define

J(ν)=R ⁣(∫Θφ dν)+∫ΘV~ d∣ν∣.

For every finite nonnegative measure μ on (R×Θ,B(R)⊗T) with ∫∣w∣dμ<∞ and h1(μ)=ν, its feature moment and penalty are mν and ∫∣w∣V~(θ)dμ, respectively, and its feature energy is

F(μ)=R(∫wφ(θ)dμ)+∫∣w∣V~(θ)dμ.

Then F(μ)≥J(ν). Equality is attained by the finite nonnegative measure μν defined on measurable A⊆R×Θ by

μν(A)=ν+({θ:(1,θ)∈A})+ν−({θ:(−1,θ)∈A}).

Thus J(ν)=inf⁡{F(μ):μ≥0, ∫∣w∣dμ<∞, h1(μ)=ν}.

Definition references

Facts & Assumptions

Given: AC, the model, a finite signed measure ν, and the signed projection in the Definition.

[A1]
[F1]

h1(μ)=αμ−βμ, with αμ(Θ)+βμ(Θ)=∫∣w∣dμ; for every bounded measurable scalar ψ, its pairing is ∫ψdh1(μ)=∫wψ(θ)dμ, and h1(μ) has finite total variation. Partially one-homogeneous signed measure projection

[F2]

A bounded linear map commutes with Bochner integration, so feature moments are determined by all scalar evaluations. Bounded linear maps commute with Bochner integration

[F5]

Scalar signed integrals are defined by approximation with simple functions; bounded measurable scalar functions are integrable against finite signed measures. Integration against a signed or complex measure, and the class L^1(nu) = L^1(|nu|)

[F3]

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

[F7]

For the Jordan decomposition, total variation satisfies ∣ν∣=ν++ν−. For a signed measure, total variation is nu-plus plus nu-minus, finite partitions suffice, and nu-plus and nu-minus are extremal

[F6]

Strongly measurable Banach-valued functions with integrable norm have Bochner integrals defined by simple-function approximation. Bochner integrability criterion

Proof

Given: AC, μ, and ν=h1(μ) as in the Definition.

1.1A1F1F3F4F7givenalgebra

Let α,β be the raw measures in [F1]. For every countable measurable partition (Bj) of a measurable set B, ∑j∣ν(Bj)∣=∑j∣α(Bj)−β(Bj)∣≤α(B)+β(B). Taking the supremum in [F3] gives ∣ν∣(B)≤(α+β)(B). For a nonnegative simple V~, the definitions of α,β give ∫V~d(α+β)=∫∣w∣V~(θ)dμ. If M bounds V~, partition [0,M] into finitely many intervals of length at most 1/n and assign an endpoint on each measurable inverse image. This gives nonnegative simple Vn with ∥Vn−V~∥∞≤1/n. The error on the left is at most (α(Θ)+β(Θ))/n, and the error on the right is at most ∫∣w∣dμ/n; these bounds agree because α(Θ)+β(Θ)=∫∣w∣dμ. Taking n→∞ proves the identity for V~. Monotonicity [F4] and the measure domination, with ∣ν∣ a measure by [F7], give ∫V~d∣ν∣≤∫V~d(α+β)=∫∣w∣V~(θ)dμ.

2.1A1F1F2F5F6F7step 1.1∎

The pointwise simple approximation in the Definition makes φ strongly measurable for the finite measure λ=αμ+βμ+ν++ν−. Multiplying those approximants by scalar simple functions converging pointwise to w gives a pointwise simple approximation to wφ(θ) on the product. Its norm is bounded by ∥φ∥∞∣w∣, so both this weighted feature and φ are Bochner integrable for the relevant measures by [F6]. For every z∈H, the function ψz(θ)=⟨z,φ(θ)⟩ is bounded and measurable. The pairing [F1] and equality h1(μ)=ν give ∫wψz(θ)dμ=∫ψzdν. By [F2] and [F5], these are respectively ⟨z,∫wφdμ⟩ and ⟨z,mν⟩, so equality for every z proves equality of feature moments. Adding the risk term to step 1.1 proves F(μ)≥J(ν). The section maps θ↦(1,θ) and θ↦(−1,θ) are measurable: preimages of measurable rectangles are either empty or measurable subsets of Θ. Their preimages preserve disjoint unions, so the displayed formula defines a finite nonnegative measure, of mass ν+(Θ)+ν−(Θ)=∣ν∣(Θ). The definition of h1 gives h1(μν)=ν+−ν−=ν by [A1]. Direct integration on the two sections gives ∫∣w∣V~dμν=∫V~dν++∫V~dν−=∫V~d∣ν∣ and ∫wφdμν=mν. Hence F(μν)=J(ν). This proves the infimum identity and its attainment.

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