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The Radon-Nikodym density of a bounded Lp functional belongs to Lq

Statement

Let (X,A,μ) be a finite measure space, let 1≤p<∞, let q be conjugate to p, and let Λ:Lp(μ)→R be a bounded linear functional. Let g∈L1(μ) be the Radon-Nikodym density from On a finite-measure space, a bounded Lp functional is integration against its Radon-Nikodym density. Then g∈Lq(μ) and ∥g∥q≤∥Λ∥. Moreover, Λ([f])=∫fg dμ([f]∈Lp(μ)).

Facts & Assumptions

Given: A finite measure space (X,A,μ), an exponent 1≤p<∞, its conjugate exponent q, a bounded linear functional Λ on Lp(μ), and its Radon-Nikodym density g∈L1(μ) from the previous lemma.

[L1]

The density g represents Λ on every bounded measurable representative (On a finite-measure space, a bounded Lp functional is integration against its Radon-Nikodym density).

[L2]

If 1<p<∞ and q is conjugate to p, then p(q−1)=q (Conjugate exponents, including the endpoint conventions).

[L3]

Monotone convergence applies to increasing nonnegative measurable sequences (Monotone convergence for the integral).

[L4]

The essential supremum is the least essential bound (The essential supremum is attained as the least essential bound).

[L5]

If u∈Lq(μ), then the functional Λu has norm ∥u∥q for q<∞, and also for q=∞ on a finite measure space (The functional Λg has norm ∥g∥q; for q=∞ assume μ is semifinite).

Proof

technique · For $1<p<\infty$, test the Radon-Nikodym density against bounded truncated extremizers and pass to the limit by monotone convergence. For $p=1$, level-set testing forces the essential supremum below the operator norm
1.1L1L2givenchooseconstruct

Assume first 1<p<∞. Choose a representative u of g and, for k≥1, define uk:=u1{∣u∣≤k},fk:=∣uk∣q−1sgn⁡u. Each fk is bounded, so [L1] gives Λ([fk])=∫fkg dμ=∫∣uk∣q dμ. Also ∣fk∣p=∣uk∣q by [L2], hence ∫∣uk∣q dμ=∣Λ([fk])∣≤∥Λ∥∥[fk]∥p=∥Λ∥(∫∣uk∣q dμ)1/p. Therefore ∫∣uk∣q dμ≤∥Λ∥q(k≥1).

1.2L1L4givenconstruct

Assume instead p=1, so q=∞. Put M:=∥Λ∥ and let u be a representative of g. Fix t>M and set Et:={∣u∣>t}. If μ(Et)>0, then Et has finite measure because μ(X)<∞, and ft:=sgn⁡u 1Et is bounded with ∥[ft]∥1=μ(Et). By [L1], ∣Λ([ft])∣=∫Et∣u∣ dμ>t μ(Et)=t∥[ft]∥1, contradicting the bound ∣Λ([ft])∣≤M∥[ft]∥1. Hence μ(Et)=0 for every t>M, and [L4] gives ∥g∥∞≤M.

2.1L3step 1.1step 1.2

Step 1.1 and monotone convergence prove the strict-exponent case, while step 1.2 proves the endpoint case. Indeed, from step 1.1 the sequence ∣uk∣q increases pointwise to ∣u∣q, so [L3] gives ∫∣u∣q dμ=lim⁡k→∞∫∣uk∣q dμ≤∥Λ∥q. Thus in every case g∈Lq(μ) and ∥g∥q≤∥Λ∥.

3.1L1L5step 1.2step 2.1givenconstruct∎

Let [f]∈Lp(μ) and choose a representative w. For each n≥1, set wn:=w1{∣w∣≤n}. Then each wn is bounded and ∣wn−w∣p≤∣w∣p with ∣wn−w∣p→0 pointwise, so dominated convergence gives ∥[wn]−[f]∥pp=∫∣wn−w∣p dμ⟶0. By step 2.1, g∈Lq(μ), so [L5] shows that Ig([h]):=∫hg dμ is a bounded linear functional on Lp(μ). Since [L1] gives Λ([wn])=Ig([wn]) for every n, continuity of both functionals yields Λ([f])=Ig([f])=∫wg dμ. Thus the Radon-Nikodym density represents Λ on all of Lp(μ).

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