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.
A three-point outer measure has nonmeasurable subsets despite passing the whole-space split
Statement refuted
To check Carathéodory measurability of , it is enough to test the defining split only with .
Facts & Assumptions
Given: The set and , , and for every other nonempty .
An outer measure on a set is a function that vanishes at the empty set, is monotone, and is countably subadditive. (Outer measures)
A set is Carathéodory measurable for when for every . (Carathéodory measurable sets)
Counterexample
Normalization and monotonicity follow by exhausting subset sizes. For subadditivity, a nonempty proper union has value and some member has value at least ; a union equal to either has an member of cost or requires at least two nonempty proper members of total cost at least . Thus [F1] holds.
Every passes the whole-space equation: for nonempty proper , the two pieces have value and sum to . But choose and and test [F2] with ; then while the two singleton pieces sum to . Thus every nonempty proper set fails, and only are measurable.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
4 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.