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.
Effectively open sets in Cantor space
Definition
Cantor space is the set of infinite binary sequences. For , let . Its choice-free fair-coin content is , as in Binary-sequence cylinders and fair-coin content. The choice-free fair-coin open content of Choice-free fair-coin content on open subsets of binary sequence space assigns this same value to and is countably subadditive on open sets. Assuming countable choice (The Axiom of Countable Choice ()), agrees on open sets with the unique Borel fair-coin probability of Fair-coin measure on binary sequences.
A set is computably enumerable when it is the range of a partial computable enumeration procedure (equivalently, some algorithm prints exactly its members, repetitions allowed), in the partial-computability convention of Computable and partial computable functions. An effectively open set is a union for such a . String conventions are those of Computation alphabets, words, the empty word, and . The definition of effective openness and the open-content value require no choice principle.
Depends on
- Computable and partial computable functions
- Computation alphabets, words, the empty word, and $\Sigma^*$
- Binary-sequence cylinders and fair-coin content
- Choice-free fair-coin content on open subsets of binary sequence space
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Fair-coin measure on binary sequences
Used by
- Effective Hausdorff dimension Definition
- Martin-Löf tests and random sequences Definition
Dependency tree · two levels
21 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
- Simpson, §7.3 (standard reference, not scraped)