Alphabeta Math
CorollaryStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-08-31
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

A finite complex measure absolutely continuous with respect to a sigma-finite positive measure has an integrable complex density

Statement

Let μ be a positive measure and let ν be a finite complex measure on (X,A). If νμ and μ is sigma-finite, then there exists a complex function hL1(μ), unique up to μ-almost-everywhere equality, such that ν(E)=Ehdμ(EA).

Facts & Assumptions

Given: A sigma-finite positive measure μ and a finite complex measure ν with νμ.

[L1]
[L2]

For complex measures, νμ is equivalent to Reνμ and Imνμ. (For signed and complex measures, absolute continuity is equivalent for the measure, its Jordan or real-imaginary parts, and its total variation)

[L3]

A signed measure satisfying a common finite exhaustion with μ and absolutely continuous with respect to μ has an almost-everywhere unique density; if its total variation is finite, the density is integrable (A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density).

[L4]

A complex function is integrable exactly when its real and imaginary parts are integrable. (Integrable real and complex functions, and their integrals)

[L5]

A complex measure has finite total variation (Every complex measure has finite total variation).

Proof

technique · direct
1.1

By [L1] and [L2], the signed measures Reν and Imν are absolutely continuous with respect to μ. By [L5], partition sums for their total variations are bounded by those of ν, so both have finite total variation. Choose an increasing exhaustion (Xn) with μ(Xn)<; it is then common to μ and both signed measures. Applying [L3], choose real-valued u,vL1(μ) such that Reν(E)=Eudμ,Imν(E)=Evdμ(EA).

L1L2L3L5choosealgebra
2.1

Put h:=u+iv. Then [L4] gives hL1(μ), and for every measurable E one has ν(E)=Reν(E)+iImν(E)=Eudμ+iEvdμ=Ehdμ. If h is another such density, then its real and imaginary parts give alternative signed densities for Reν and Imν, so the uniqueness part of [L3] makes h=h μ-almost everywhere.

step 1.1L3L4algebra

Depends on

Used by

Dependency tree · two levels

17 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources