Measure and integration Signed measures and differentiation of measures Theorem
Lebesgue decomposition theorem
Builds on Sigma-finite measureAbsolutely continuous measureMutually singular measures
Statement
Let be a measurable space and let and be σ-finite measures on . Then there are measures and on such that:
- .
- is absolutely continuous with respect to .
- and are mutually singular.
The measures and are unique.
Remarks
One proof applies the Radon–Nikodym theorem to and . With , the set is -null, and one puts and . Uniqueness holds because a measure that is both absolutely continuous and singular with respect to is zero.
Example: let be Lebesgue measure on and , where is the point mass at . Then and .
On the real line with Lebesgue measure, the singular part splits further into a part made of point masses and a continuous singular part. The distribution of the Cantor function is an example of a continuous singular measure.
Going deeper
For a student
Combined with the Radon–Nikodym theorem, it says with and . In probability this splits a distribution on into a part with a density, a discrete part and a singular continuous part. The same decomposition holds for finite signed and complex measures, applied to the total variation.
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Absolutely continuous measure concept
- Mutually singular measures concept
- Sigma-finite measure concept
- Lebesgue decomposition theorem statement
Further reading
About this page
| Tag | 74VMD07DRX |
|---|---|
| URI | m2://74VMD07DRX |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 28A10, 28A15 |
| Status | This copy of the site has no build data. Run m2 status 74VMD07DRX. |
| About | Absolutely continuous measure, Mutually singular measures |
| Uses | Sigma-finite measure, Absolutely continuous measure, Mutually singular measures |
| Same as | |
| Changed | 2 November 2026 |
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