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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-09
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Complex Holder, Minkowski, and the quotient norm

Statement

On any measure space, if p,p[1,] are conjugate, fLp(μ;C) and gLp(μ;C), then fgdμfpgp,fgdμfpgp. For every 1p, complex vector operations and [f]p=Np(f) are well-defined on the a.e. quotient and give a norm, with f+gpfp+gp,fp=fp, Refp,ImfpfpRefp+Imfp.

Facts & Assumptions

Given: A measure space, finite-valued measurable representatives, and the exponents and finite norms stated above.

[F1]

Complex measurability, moduli and the set quotient have the stated conventions (Complex Lp classes and Euclidean test-function conventions).

[F2]

zw=zw, z+wz+w and zz=z2 (Conjugation is an involutive real-field automorphism, zz=z2, and modulus is definite, multiplicative, and subadditive).

[F3]

Real Hölder holds for conjugate exponents, including both endpoints (Holder's inequality for integrals, including the endpoint cases).

[F4]

Real Minkowski holds for finite exponents (Minkowski's inequality for integrals, including p=).

[F5]

For complex integrable h, hh (The modulus of an integral is bounded by the integral of the modulus).

[F6]

A nonnegative measurable function has integral zero exactly when it is zero a.e. (A nonnegative measurable function has integral 0 exactly when it vanishes almost everywhere).

[F8]

Nonnegative integration is monotone and positively homogeneous (Monotonicity and nonnegative homogeneity of the nonnegative integral).

[F9]

The essential norm is the infimum of nonnegative essential bounds (The essential supremum of a measurable function with respect to a measure).

[F10]

Countable unions of measurable null sets are null (Finite and countable subadditivity of measures).

Proof

technique · Reduce to real inequalities for moduli and prove quotient and endpoint assertions directly
1.1

By F1 the real functions f,g are measurable with finite respective norms. Applying F3 to these functions and using fg=fg gives fgNp(f)Np(g)<, for 1<p< and also (p,p)=(1,),(,1). Thus fg is complex integrable and F5 gives the asserted integral bound.

F1F2F3F5given
1.2

For finite p, F2 and F8 give Np(f+g)Np(f+g). Real Minkowski on the two real nonnegative functions gives Np(f+g)Np(f)+Np(g), so addition preserves the finite-functional class.

F2F4F8
1.3

For p= put a=N(f) and b=N(g). Every a+η and b+η with η>0 is an essential bound: an essential bound smaller than it exists by the infimum property. Off the union of two null sets, f+ga+b+2η. Taking infima and then η0 gives N(f+g)a+b.

F2F9F10
1.4

If f=f1 a.e. and g=g1 a.e., then αf+βg=αf1+βg1 off the union of their measurable disagreement sets. For finite p, fp=f1p a.e., so F7 makes their integrals equal. At infinity the sets of essential bounds agree. Thus both operations and Np descend. Pointwise complex vector identities descend as well; scalar closure and Np(cf)=cNp(f) follow from F2 and F8 for finite p, and scaling essential bounds for infinity. For c=0 this equality is immediate without dividing by c.

F1F2F7F8F9F10
1.5

For finite p, Np(f)=0 iff fp=0 a.e. by F6, iff f=0 a.e. by F2. For infinity, if N(f)=0, each measurable set Em={f>1/m} is null by F9. Since {f0}=m1Em, F10 gives f=0 a.e. The converse follows since zero is then an essential bound. This proves positive definiteness, including zero measure spaces.

F2F6F9F10
2.1

Finally f=f, and pointwise Ref,ImffRef+Imf. Monotonicity of finite integrals or of essential bounds gives the two lower component bounds; the triangle inequality applied to f=Ref+iImf gives the upper bound. Together with homogeneity, definiteness and the descended operations, this proves all norm assertions.

F1F2F8F9step 1.2step 1.3step 1.4step 1.5

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Sources