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.
Martin-Löf randomness implies computable randomness
Statement
Every Martin-Löf random sequence is computably random.
Proof
Given: a computable martingale and a sequence on which it succeeds.
A successful martingale has , since a nonnegative martingale starting at is identically . For each , enumerate every string with and let be the union of its cylinders. Strict comparison with a computable real is computably enumerable, so is effectively open.
The prefix-minimal threshold-crossing strings have the same union as . The martingale conservation equation Computable martingales on binary strings bounds their total measure by (their total capital cannot exceed initial capital), so is a Martin-Löf test.
Success puts the sequence in every level of that test, contradicting Martin-Löf randomness as defined in Martin-Löf tests and random sequences.
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.
Sources
- Franklin and Porter, Theorem 2.7 (standard reference, not scraped)