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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 1p<, let q be conjugate to p, and let Λ:Lp(μ)R be a bounded linear functional. Let gL1(μ) be the Radon-Nikodym density from On a finite-measure space, a bounded Lp functional is integration against its Radon-Nikodym density. Then gLq(μ) and gqΛ. Moreover, Λ([f])=fgdμ([f]Lp(μ)).

Facts & Assumptions

Given: A finite measure space (X,A,μ), an exponent 1p<, its conjugate exponent q, a bounded linear functional Λ on Lp(μ), and its Radon-Nikodym density gL1(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(q1)=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 uLq(μ), then the functional Λu has norm uq for q<, and also for q= on a finite measure space (The functional Λg has norm gq; 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
1.1

Assume first 1<p<. Choose a representative u of g and, for k1, define uk:=u1{uk},fk:=ukq1sgnu. Each fk is bounded, so [L1] gives Λ([fk])=fkgdμ=ukqdμ. Also fkp=ukq by [L2], hence ukqdμ=Λ([fk])Λ[fk]p=Λ(ukqdμ)1/p. Therefore ukqdμΛq(k1).

L1L2givenchooseconstruct
1.2

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:=sgnu1Et is bounded with [ft]1=μ(Et). By [L1], Λ([ft])=Etudμ>tμ(Et)=t[ft]1, contradicting the bound Λ([ft])M[ft]1. Hence μ(Et)=0 for every t>M, and [L4] gives gM.

L1L4givenconstruct
2.1

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 ukq increases pointwise to uq, so [L3] gives uqdμ=limkukqdμΛq. Thus in every case gLq(μ) and gqΛ.

L3step 1.1step 1.2
3.1

Let [f]Lp(μ) and choose a representative w. For each n1, set wn:=w1{wn}. Then each wn is bounded and wnwpwp with wnwp0 pointwise, so dominated convergence gives [wn][f]pp=wnwpdμ0. By step 2.1, gLq(μ), so [L5] shows that Ig([h]):=hgdμ 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])=wgdμ. Thus the Radon-Nikodym density represents Λ on all of Lp(μ).

L1L5step 1.2step 2.1givenconstruct

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