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Integral invariance under measure-preserving maps
Statement
If preserves and is measurable, then , allowing infinity. If is integrable real or complex valued, is integrable and the same equality holds. Conversely, for a measurable self-map, equality for every measurable indicator implies measure preservation.
Facts & Assumptions
Nonnegative measurable functions admit increasing simple approximations Every nonnegative measurable function is the increasing limit of simple measurable functions.
Increasing nonnegative measurable functions have increasing integrals with the expected limit Monotone convergence for the integral.
The integral is complex-linear on integrable functions The Lebesgue integral is linear on .
Proof
Given: The objects and hypotheses in the statement.
For , , hence its integral is . A nonnegative simple function written over disjoint fibers has integral equal to the sum of coefficient times fiber measure, so the identity holds for every such function, also when the sum is infinite in value.
For nonnegative measurable , take as supplied by simple approximation. Then measurably. Integral monotone convergence on both sides gives .
For integrable , applying step 2.1 to proves . Apply that step to the positive and negative parts of each real component. Subtract their finite integrals and combine the real and imaginary parts by linearity to obtain the asserted equality.
Conversely the indicator identity is exactly for each measurable . Thus it is measure preservation.
Depends on
Used by
Dependency tree · two levels
18 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
- E–W Lemma 2.6, pp.15–16 (standard reference, not scraped)