Math 2.0

Measure and integration Definition

Measure with density

Builds on Measure spaceMeasurable functionIntegral of a non-negative functionMeasure

Definition

Let (X,Σ,μ)(X, \Sigma, \mu) be a measure space and let f ⁣:X→[0,∞]f \colon X \to [0, \infty] be a measurable function. The measure with density ff is the map fμ ⁣:Σ→[0,∞]f\mu \colon \Sigma \to [0, \infty] given by (fμ)(A)=∫Af dμ=∫Xf 𝟏A dμ,(f\mu)(A) = \int_A f \, d\mu = \int_X f \, \mathbf{1}_A \, d\mu, where the integral is the integral of a non-negative function.

Remarks

The map fμf\mu is a measure: (fμ)(∅)=0(f\mu)(\emptyset) = 0, and countable additivity follows from the monotone convergence theorem applied to f𝟏A1∪⋯∪Anf \mathbf{1}_{A_1 \cup \dots \cup A_n}. It is absolutely continuous with respect to μ\mu, since μ(A)=0\mu(A) = 0 implies ∫Af dμ=0\int_A f \, d\mu = 0.

Example: on ℝ\R with Lebesgue measure and f=𝟏[0,1]f = \mathbf{1}_{[0,1]}, the measure fμf\mu is Lebesgue measure restricted to [0,1][0, 1]. Check: (fμ)(A)=∫𝟏A∩[0,1] dx(f\mu)(A) = \int \mathbf{1}_{A \cap [0,1]} \, dx, the length of A∩[0,1]A \cap [0, 1].

Non-example: f(x)=xf(x) = x on ℝ\R takes negative values, so it is not an admissible density. The formula A↦∫Ax dxA \mapsto \int_A x \, dx is not even defined for A=ℝA = \R.

For measurable g≥0g \ge 0, ∫g d(fμ)=∫gf dμ\int g \, d(f\mu) = \int g f \, d\mu. Notation: fμf\mu, f⋅μf \cdot \mu, or dν=f dμd\nu = f \, d\mu.

Reading path

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

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  1. Integral of a non-negative function concept
  2. Measurable function concept
  3. Measure concept
  4. Measure space concept
  5. Measure with density definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Radon–Nikodym_theorem
About this page
TagVGZRSDNEBK
URIm2://VGZRSDNEBK
Kinddefinition
WritingW0 stub
MSC28A25, 28A10
DefinesMeasure with density
UsesMeasure space, Measurable function, Integral of a non-negative function, Measure
Changed2 November 2026

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