How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Monotone convergence for the integral
Statement
Let be measurable and suppose for every . Then
Facts & Assumptions
Given: A nondecreasing sequence of nonnegative measurable functions with pointwise limit .
The nonnegative integral is monotone (Monotonicity and nonnegative homogeneity of the nonnegative integral).
For a nonnegative simple function , the set function is a measure (The indefinite integral of a nonnegative simple function is a measure).
Measures are continuous from below on increasing measurable sets (Continuity from below for measures).
The nonnegative integral agrees with the simple integral on simple functions, and the latter is homogeneous on nonnegative simple functions (The nonnegative integral agrees with the simple integral on simple functions, The simple integral is monotone, homogeneous, and additive).
Proof
By [L1], the numbers increase and satisfy[given, L1] for every . So their supremum exists in and .
Fix a nonnegative simple function and a real with .[given, L2, L3] Put . Then : if then for all , while if then , so eventually . Since is a measure by [L2], [L3] gives
On one has , hence . By [L1] and [L4],[step 1.2, L1, L4, algebra] Letting in step 1.2 yields Now choose and let ; then .
Step 2.1 holds for every simple minorant , so taking the supremum [step 1.1, step 2.1, given] ∎ over such gives by the definition of the nonnegative integral. Together with step 1.1, this proves , so .
Depends on
- The nonnegative Lebesgue integral
- Integral over a measurable subset
- The indefinite integral of a nonnegative simple function is a measure
- Monotonicity and nonnegative homogeneity of the nonnegative integral
- Every nonnegative measurable function is the increasing limit of simple measurable functions
- Continuity from below for measures
- The nonnegative integral agrees with the simple integral on simple functions
- The simple integral is monotone, homogeneous, and additive
Used by
- Additivity of the nonnegative Lebesgue integral Corollary
- Almost-everywhere monotone convergence Corollary
- Beppo Levi's theorem for nonnegative series Corollary
- Reverse Fatou's lemma under an integrable majorant Corollary
- A decreasing sequence need not satisfy a monotone convergence theorem without an integrable start Counterexample
- Integrating against a Dirac measure is evaluation at the point Example
- Integrating against counting measure recovers a series Example
- The exponential tail function is integrable by monotone truncation and geometric comparison Example
- The function x^-1/2 on (0,1] is unbounded and integrable Example
- FALSE: monotone convergence holds without monotonicity False statement
- Separate holomorphy forces local boundedness on smaller polydiscs Lemma
- A decreasing limit of plane subharmonic functions is subharmonic or identically -infinity Theorem
- Absolute continuity of the integral Theorem
- Fatou's lemma Theorem
- Integrating against a density agrees with integrating the product Theorem
- Subharmonicity is equivalent to harmonic comparison on compactly contained discs Theorem
- The indefinite integral of a nonnegative measurable function is a measure Theorem
Dependency tree · two levels
17 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 7.1 (standard reference, not scraped)
- John K. Hunter, Measure Theory Notes, Theorem 4.6 (standard reference, not scraped)
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 2.14 (standard reference, not scraped)