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Integrating against a Radon-Nikodym derivative recovers integration against the measure
Statement
Let be a sigma-finite positive measure and let be a signed measure or a finite complex measure with . If is a representative of , then More generally, if is the canonical disjoint representation of a simple measurable function and for every , then In particular, whenever the Lebesgue integral of is defined, one has
Facts & Assumptions
Given: A representative of .
A representative of a Radon-Nikodym derivative recovers the measurable-set values of the measure: for signed measures by the Radon-Nikodym theorem, and for finite complex measures by the complex corollary. (The Radon-Nikodym derivative as an almost-everywhere equivalence class, A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density, A finite complex measure absolutely continuous with respect to a sigma-finite positive measure has an integrable complex density)
For a simple function in canonical disjoint form with each , the simple integral against is (The simple integral against a signed or complex measure)
The Lebesgue integral is linear on . (The Lebesgue integral is linear on )
Proof
The measurable-set identity is exactly [L1].
If is canonical disjoint and each , then [L3] and step 1.1 give If, in addition, the Lebesgue integral of is defined, then [L4] identifies the same finite sum with .
Depends on
- A finite complex measure absolutely continuous with respect to a sigma-finite positive measure has an integrable complex density
- The Radon-Nikodym derivative as an almost-everywhere equivalence class
- The simple integral against a signed or complex measure
- The Lebesgue integral is linear on $L^1(\mu)$
- A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density
Used by
Dependency tree · two levels
21 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
- Richard F. Bass, Real Analysis for Graduate Students, Theorem 13.4 (standard reference, not scraped)
- John K. Hunter, Measure Theory, Theorem 6.27 (standard reference, not scraped)