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.
Every measurable function admits simple approximations dominated by its absolute value
Statement
Let be a measurable space and let be measurable. Then there is a sequence of simple functions such that
and for every .
Facts & Assumptions
Given: A measurable function .
The positive and negative parts satisfy , , and at each point at least one of is zero. (The positive and negative parts of a function)
The arithmetic-and-lattice theorem makes and measurable. (Arithmetic and lattice operations preserve measurability whenever they are defined)
Every nonnegative measurable function admits an increasing sequence of simple approximations. (Every nonnegative measurable function admits an explicit increasing sequence of simple approximations)
Proof
By [L2], the functions and are measurable and nonnegative. Applying [L1, L2, L3] [L3] to them gives simple functions and .
Put . Because and are simple, is a [step 1.1, L1] simple real-valued function. At each point, [L1] makes at least one of and equal to , so
Also pointwise because and . [step 1.1, L1] ∎
Depends on
Used by
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
- Sheldon Axler, Measure, Integration and Real Analysis, Theorem 2.89 (standard reference, not scraped)