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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.

✓ 3 results · all verified · 1 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 2 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Diagonalization and the Halting Problem: Examples and Counterexamples

1 · Prerequisites

2 · Summary

These examples keep the diagonal arguments concrete. One traces the self-application machine on its own recoded description, another spells out the two possible languages in the equivalence reduction, and the counterexample separates undecidability from the much weaker claim that some individual instances are easy to answer.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passaudited 2026-09-02Open item page →

Building the diagonal machine against a hypothetical acceptance decider

Example

Assume a black-box decider H for ATM. The diagonal lemma builds a machine DH with input alphabet Σ2={1,2} such that on the recoded description ⌜M⌝‾ of any machine M with the same input alphabet, DH does the opposite of M.

Facts & Assumptions

Given: A hypothetical decider H for ATM and the resulting machine DH.

[L1]

The diagonal construction yields a machine DH with DH accepts ⌜M⌝‾  ⟺  M does not accept ⌜M⌝‾ for every coded machine M whose input alphabet contains Σ2, by A hypothetical decider for ATM yields a diagonal self-application machine.

[L2]

The existence of such a machine forces a contradiction and therefore proves ATM undecidable, by The Turing-machine acceptance problem is undecidable.

Verification

technique · direct
1.1L1given

Applying [L1] with M=DH itself gives DH accepts ⌜DH⌝‾  ⟺  DH does not accept ⌜DH⌝‾. So the special input is the recoded description ⌜DH⌝‾, not an informal self-reference slogan.

2.1L2step 1.1∎

The contradiction in step 1.1 is exactly the obstruction recorded in [L2]. This concrete trace is the diagonal core of the undecidability proof.

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-02Open item page →

Reducing halting to language equivalence by a machine that either accepts everything or loops forever

Example

Fix a coded pair ⟨⌜M⌝,w^⟩. The standard reduction to machine equivalence builds a machine EM,w that ignores its own input, waits to see whether M halts on w, and then either accepts every input or accepts none.

Facts & Assumptions

Given: A fixed halting instance candidate ⟨⌜M⌝,w^⟩.

[L1]

In the reduction proving Language equivalence of Turing machines is undecidable, the machine EM,w recognizes Σ∗ when M halts on w and recognizes ∅ when M does not halt on w.

[L2]

The halting language HALTTM is undecidable, by The halting problem is recognizable and undecidable.

Verification

technique · direct
1.1L1given

If M halts on w, then the simulation inside EM,w eventually terminates on every input, after which EM,w accepts that input. So [L1] gives L(EM,w)=Σ∗, the same language recognized by an always-accept machine.

2.1L1L2step 1.1∎

If M does not halt on w, then the simulation inside EM,w never terminates, so EM,w accepts no input at all. Again by [L1], L(EM,w)=∅, which is not the language of the always-accept machine. This sharp dichotomy is why deciding equivalence would decide halting, contradicting [L2].

CounterexampleConstruction: AI-adaptedVerification: AI-generatedprecheck passaudited 2026-09-02Open item page →

An immediate-accept machine gives an easy yes-instance inside an undecidable language

Statement refuted

The claim "undecidable means no individual instance can be answered" is false. An explicit yes-instance already appears inside ATM.

Facts & Assumptions

Given: The machine Myes that immediately accepts every input.

[L1]

A coded pair lies in ATM exactly when the decoded machine accepts the decoded input, by The Turing-machine acceptance problem ATM.

[L2]

The false statement being refuted is the one recorded in FALSE: undecidable means no individual instance can be answered.

Counterexample

technique · direct
1.1L1given

The machine Myes accepts the one-symbol input word 1 on its first step. Therefore [L1] gives ⟨⌜Myes⌝,1^⟩∈ATM.

2.1L2step 1.1∎

This specific membership question has a completely transparent yes-answer, so it contradicts the slogan named in [L2]. Hence the slogan is false.

Sources