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.
Two different normalizations give the same Lebesgue-Stieltjes measure
Example
If , then and define the same Lebesgue-Stieltjes measure. This is the additive-constant ambiguity that the normalization removes.
Facts & Assumptions
Given: Countable choice, a nondecreasing right-continuous function , and the shifted function .
Assuming countable choice, two nondecreasing right-continuous functions define the same Lebesgue-Stieltjes measure exactly when their difference is constant. (Assuming countable choice, finite-on-compacts Borel measures on correspond to nondecreasing right-continuous functions modulo constants)
Verification
The function is nondecreasing and right-continuous whenever is, and [given] is the constant function .
Therefore [L1] gives . The two distribution functions are [step 1.1, L1] distinct unless , so the normalization convention is doing real work.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
6 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
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 1.16 (standard reference, not scraped)