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The nonnegative integral agrees with the simple integral on simple functions
Statement
If is a nonnegative simple measurable function, then its nonnegative Lebesgue integral equals its simple integral:
Facts & Assumptions
Given: A nonnegative simple measurable function .
The nonnegative integral is the supremum of the simple integrals of all simple minorants (The nonnegative Lebesgue integral).
The simple integral is monotone on nonnegative simple functions (The simple integral is monotone, homogeneous, and additive).
The simple integral itself is well defined on every nonnegative simple function (The integral of a nonnegative simple function, The simple integral is independent of the chosen representation).
Proof
The function is one of its own admissible simple minorants, so [L1] gives
If is any admissible simple minorant of , then , so [L2] gives Taking the supremum over all such in [L1] yields the reverse inequality.
The two inequalities from steps 1.1 and 1.2 give equality of the nonnegative and simple integrals on .
Depends on
Used by
- A nonnegative measurable function with finite integral is finite almost everywhere Corollary
- Additivity of the nonnegative Lebesgue integral Corollary
- Polar integration may discard the cut locus Corollary
- The expectation of an indicator is the probability of the event Corollary
- Weak differentiation has a closed graph on its natural domains Corollary
- A nonintegrable observable with divergent ergodic averages Counterexample
- A random variable need not have a finite expectation Counterexample
- A step has no locally integrable weak derivative Counterexample
- Counting measure on [0,1] shows the dominating measure needs sigma-finiteness Counterexample
- Neumann Poisson data require a flux compatibility equation Counterexample
- Point evaluation is unbounded below the Sobolev continuity threshold Counterexample
- Sharp frequency cutoffs have kernels that are not in L1 Counterexample
- Strong fractional integration fails at p equal to one Counterexample
- The critical Riesz potential can diverge and be essentially unbounded Counterexample
- Rademacher functions on the unit interval Definition
- Compact groups have a constant Reiter net Example
- Counting measure represents finite-support summation on a discrete LCH space Example
- Hilbert transform of the line Poisson kernel Example
- Integrating against counting measure recovers a series Example
- Matching C¹ pieces across a hyperplane have no jump derivative Example
- Mollification of a complex two-step function Example
- Negative drift gives a finite mean small-set hit Example
- Sharp Sobolev threshold for a radial power Example
- The absolute value has a weak first derivative Example
- The Haar orthonormal basis of L²((0,1)) Example
- Uniform laws on expanding finite grids converge to uniform zero one Example
- Birkhoff's theorem requires integrability False statement
- A bounded Riemann integrable function admits Borel Darboux envelopes with the same Lebesgue integral Lemma
- A topological invariant mean yields norm-approximately invariant densities Lemma
- Averaging a Hermitian form unitarizes a finite-dimensional compact-group representation Lemma
- Borel Darboux integrands in finite dimension Lemma
- Counting measure on a discrete group is Haar, Haar measures there are its multiples, and integrals against them are sums Lemma
- Finite Haar mass, compact detection, and integrable pairings Lemma
- Finite Rademacher blocks are equidistributed Lemma
- Følner nets give Reiter nets Lemma
- Probability-density averages and locally detectable upper essential values Lemma
- Riemann–Lebesgue comparison for distribution test integrands Lemma
- Two common diagonalizations differ by a bimeasurable base isomorphism and a measurable field of unitaries Lemma
- Compact and locally compact abelian groups are amenable Proposition
- Haar integration is translation and conjugation invariant Proposition
…and 21 more results.
Dependency tree · two levels
7 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
- John K. Hunter, Measure Theory Notes, Definition 4.4 (standard reference, not scraped)