Math 2.0

Measure and integration Definition

Quasi-measure-preserving map

Builds on Measure spaceMeasurable functionNull set

Definition

Let (X,𝒜,μ)(X, \mathcal{A}, \mu) and (Y,ℬ,ν)(Y, \mathcal{B}, \nu) be measure spaces. A map T ⁣:X→YT \colon X \to Y is quasi-measure-preserving if two conditions hold.

  1. TT is measurable: T−1(B)∈𝒜T^{-1}(B) \in \mathcal{A} for every B∈ℬB \in \mathcal{B}.
  2. If B∈ℬB \in \mathcal{B} and ν(B)=0\nu(B) = 0, then μ(T−1(B))=0\mu(T^{-1}(B)) = 0.

Remarks

Condition 2 says that the pushforward T∗μT_* \mu is absolutely continuous with respect to ν\nu, that is, preimages of null sets are null sets. Every measure-preserving map satisfies it. Example: T(x)=2xT(x) = 2x on ℝ\R with Lebesgue measure λ\lambda. For a Borel set BB one has λ(T−1(B))=λ(B)/2\lambda(T^{-1}(B)) = \lambda(B)/2, so null sets pull back to null sets, but TT is not measure-preserving. Non-example: the constant map T(x)=0T(x) = 0 from [0,1][0,1] to ℝ\R, both with Lebesgue measure, is measurable. But λ({0})=0\lambda(\set{0}) = 0 while λ(T−1({0}))=λ([0,1])=1\lambda(T^{-1}(\set{0})) = \lambda([0,1]) = 1, so condition 2 fails.

Reading path

To understand this page from the ground up, read these 4 pages in order. The foundations come first.

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  1. Measurable function concept
  2. Measure space concept
  3. Null set concept
  4. Quasi-measure-preserving map definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Quasi-invariant_measure
About this page
TagD38ZP0YX0D
URIm2://D38ZP0YX0D
Kinddefinition
WritingW0 stub
MSC28D05, 37A40
DefinesQuasi-measure-preserving map
UsesMeasure space, Measurable function, Null set
Changed2 November 2026

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