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.
FALSE: some measurable set has density one half in every interval
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
There is a Lebesgue measurable set such that for every nondegenerate bounded interval .
Facts & Assumptions
Given: The Axiom of Countable Choice, and assume there is a measurable set with half-density in every nondegenerate bounded interval.
Almost every point of a measurable set is a density-one point of that set. (Lebesgue density theorem)
The interval has measure . (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Refutation
Applying the hypothesis to and [L2], one gets [L2, given, algebra] So has positive measure.
By [L1], almost every point of is a density-one point of . Choose [L1, step 1.1, given, choose, contradiction: density at x, discharge-contradiction] such a point . But the hypothesis applied to every interval gives so the density of at is , not . This contradiction refutes the claim.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
25 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
- Terence Tao, An Introduction to Measure Theory, Exercise 1.6.26(ii) (standard reference, not scraped)