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.
The space as the quotient by null functions
Definition
Let be a measure space.
- For , define an equivalence relation on by and write for the set of classes .
- For , define the same relation on and again write for the set of classes.
Thus an element of is an almost-everywhere equivalence class of measurable representatives.
When , the displayed set quotient agrees with the usual quotient-vector-space construction of The quotient vector space and its canonical projection.
For , the same class notation is used, but the later item The distance for is a complete translation-invariant metric supplies the metric structure rather than a normed-space structure.
Depends on
Used by
- The p-functional need not be a norm for 0 < p < 1 Proposition
- Elements of Lᵖ are equivalence classes, so pointwise statements require a representative Remark
- ℓᵖ is the Lᵖ space of counting measure Remark
- The Lᵖ distance for 0 < p < 1 is a complete translation-invariant metric Theorem
- The Lᵖ norm descends to the quotient and makes Lᵖ a normed space for 1 ≤ p ≤ ∞ Theorem
Dependency tree · two levels
11 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 & Real Analysis, Definition 7.17 (standard reference, not scraped)
- John K. Hunter, Measure Theory, Section 7.4 (standard reference, not scraped)