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TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-07
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The bounded complex dual of C_0(X) is regular complex measures

Statement

For an LCH space X, every bounded complex linear functional L on C0(X;C) has a unique representation L(f)=Xfdμ by a finite regular complex Borel measure μ. Conversely each such μ defines a bounded functional and L=μ(X).

Facts & Assumptions

Given: L is bounded and complex linear.

[L1]

Bounded real functionals split into differences of positive functionals. (A bounded real C_0(X) functional is a difference of positive functionals)

[L2]

Positive bounded functionals have finite regular representing measures. (Positive C_0(X) functionals have finite regular representing measures)

Proof

technique · direct
1.1

On the real vector space of real-valued functions put A(u)=ReL(u) and B(u)=ImL(u). Apply [L1], then [L2], to the positive decompositions of both A and B. This gives finite regular signed measures α and β representing A and B. Put μ=α+iβ. If f=u+iv, complex linearity gives L(f)=L(u)+iL(v), whose real and imaginary parts agree exactly with those of fd(α+iβ); hence μ represents L.

L1L2
2.1

If two finite regular complex measures μ and ν represent L, [step 1.1, L2] then the real and imaginary signed parts of their difference μν integrate every real Cc function to zero. For either signed part, move its negative Jordan component to the other side; the two resulting positive Radon measures have equal integrals on Cc. The positive-measure uniqueness in [L2] makes those positive measures equal, so both signed parts of μν vanish and μ=ν.

step 1.1
3.1

Conversely, fdμfμ(X), so integration is bounded with norm at most μ(X). The definition of total variation and regular approximation by compactly supported phase functions gives functions with f1 and integrals arbitrarily close to μ(X); hence equality of norms.

given

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