Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-12
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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.

Every computably enumerable set is the domain of a partial computable function

Statement

Let A be a computably enumerable subset of an effectively encoded set X. Then there exists a partial computable function whose domain is exactly A.

Facts & Assumptions

Given: A c.e. set A⊆X.

[L1]

By Computably enumerable sets and languages, either A=∅ or there exists a total computable enumerator e:N→X with range A.

[L2]

By Computable and partial computable functions, a partial computable function is one produced by a machine that halts exactly on its domain.

Proof

technique · direct
1.1L1L2given

If A=∅, take the nowhere-defined partial function from X to the one-point set {0}. Its machine diverges on every input, so [L2] shows that its domain is exactly ∅=A.

1.2L1L2construct

Suppose now that A≠∅, and let e:N→X be the total computable enumerator from [L1]. Define a machine on an input code z∈{0,1}∗ that computes the outputs e(0),e(1),e(2),… one after another until it first sees the codeword z, at which point it halts and outputs 0. If z=eX(x) with x∈A, some index n satisfies e(n)=x, so the machine eventually halts on z. If x∉A, no enumerated value has code z, so the machine never halts on z. Thus [L2] gives a partial computable function whose domain is exactly A.

2.1step 1.1step 1.2∎

In either case, A is the domain of a partial computable function.

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