Math 2.0

Measure and integration Definition

Complex measure

Builds on Measurable spaceCountable additivityComplex numbersSigned measure

Definition

Let (X,Σ)(X, \Sigma) be a measurable space. A complex measure on (X,Σ)(X, \Sigma) is a map ν ⁣:Σ→ℂ\nu \colon \Sigma \to \C with the following property. For every sequence (En)(E_n) of pairwise disjoint sets in Σ\Sigma, ν(⋃nEn)=∑nν(En),\nu\Big( \bigcup_{n} E_n \Big) = \sum_{n} \nu(E_n), where the series of complex numbers converges.

Remarks

Taking all En=∅E_n = \emptyset gives ν(∅)=0\nu(\emptyset) = 0. The left side does not depend on the order of the EnE_n, so every rearrangement of the series converges to the same value, and the series converges absolutely.

Example: let μ\mu be a measure and f∈L1(μ)f \in L^1(\mu) complex-valued. Then ν(E)=∫Ef dμ\nu(E) = \int_E f \, d\mu is a complex measure; countable additivity follows from the dominated convergence theorem with dominating function ∣f∣\abs{f}.

Non-example: Lebesgue measure on ℝ\R is not a complex measure, because λ(ℝ)=∞\lambda(\R) = \infty is not a complex number.

Writing ν=νr+iνi\nu = \nu_r + i \nu_i, the real and imaginary parts νr\nu_r and νi\nu_i are finite signed measures. Integration against ν\nu is defined by ∫f dν=∫f dνr+i∫f dνi\int f \, d\nu = \int f \, d\nu_r + i \int f \, d\nu_i.

Reading path

To understand this page from the ground up, read these 5 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
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  1. Complex numbers object
  2. Countable additivity concept
  3. Measurable space concept
  4. Signed measure concept
  5. Complex measure definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Complex_measure
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DefinesComplex measure
UsesMeasurable space, Countable additivity, Complex numbers, Signed measure
Changed2 November 2026

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