Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicableverified 2026-09-24 (gpt-6-sol)
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 tests and random sequences

Definition

A sequence (Un)n≥0 is uniformly effectively open when there is one computably enumerable relation W⊆N×{0,1}∗ such that Un=⋃(n,σ)∈W[σ] for every n. Thus a single algorithm, given no oracle, enumerates all pairs (n,σ) and thereby enumerates the cylinders at every level uniformly. This notion uses only the cylinders of Effectively open sets in Cantor space and requires no choice principle.

For open U write μ(U):=μo(U), the choice-free fair-coin open content of Choice-free fair-coin content on open subsets of binary sequence space.

A Martin-Löf test is a uniformly effectively open sequence with μ(Un)≤2−n. A sequence X∈2ω is Martin-Löf random when X∉⋂nUn for every such test. Computable enumerability, cylinders, and open content are as in Effectively open sets in Cantor space. Under countable choice this is the usual Borel fair-coin measure of each Un; the test definition itself requires no choice principle.

Depends on

Used by

Dependency tree · two levels

8 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