Alphabeta Math
PropositionStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-12
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.

Turing reducibility is strictly weaker than computable many-one reducibility

Statement

There exist languages A and B such that ATB but A̸mB. In particular, ATMTATMbutATM̸mATM.

Facts & Assumptions

Given: The acceptance language ATM and its complement ATM.

[L1]

The language ATM is recognizable, by The Turing-machine acceptance problem is recognizable.

[L2]

A language is decidable exactly when both it and its complement are recognizable, by A language is decidable if and only if it and its complement are recognizable.

[L3]

The language ATM is undecidable, by The Turing-machine acceptance problem is undecidable.

Proof

technique · direct
1.1

With oracle access to ATM, an input x belongs to ATM exactly when the oracle answers "no" to the single query x. So the machine that asks that one query and flips the answer halts on every input and decides ATM. Hence ATMTATM.

givenconstruct
1.2

Suppose instead that ATMmATM. Then ATM would be recognizable because ATM is recognizable by [L1] and recognizability transfers backward along many-one reductions. Since [L1] also makes ATM recognizable, [L2] would imply that ATM is decidable, contradicting [L3]. Therefore ATM̸mATM.

L1L2L3assume-contracontradiction
2.1

Steps 1.1 and 1.2 exhibit a Turing reduction that is not a many-one reduction, so Turing reducibility is strictly weaker than computable many-one reducibility.

step 1.1step 1.2discharge-contradiction: the assumed many-one reduction would decide A_TM

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

16 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