Alphabeta Math
CorollaryStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31
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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.

Turing machines admit an effective enumeration

Statement

The coded deterministic one-tape Turing machines of A fixed effective binary encoding of deterministic one-tape Turing machines can be effectively enumerated.

Facts & Assumptions

Given: The fixed coding of deterministic one-tape Turing machines.

[L1]

Every coded deterministic one-tape Turing machine M has a binary code ⌜M⌝, by A fixed effective binary encoding of deterministic one-tape Turing machines.

[L2]

The chosen coding has a total decoder and is injective, by The chosen machine coding is injective and has a total decoder.

Proof

technique · direct
1.1L2givenconstruct

Enumerate all binary words in shortlex order and run the total decoder from [L2] on each word. Whenever the decoder reports malformed input, output nothing; whenever it returns a coded machine, output that machine.

2.1L1step 1.1

By [L1], every coded machine M has some binary code ⌜M⌝, and shortlex enumeration eventually reaches that code. At that stage the decoder returns M, so every coded machine appears somewhere in the output stream.

3.1L2step 1.1step 2.1∎

By injectivity in [L2], two different binary words cannot decode to the same coded machine. Therefore the procedure from step 1.1 lists each coded deterministic one-tape Turing machine exactly once and gives an effective enumeration.

Depends on

Used by

Dependency tree · two levels

5 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