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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 · 3 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; all 3 also cleared it.

Computable Reductions and Rice's Theorem: Examples and Counterexamples

1 · Prerequisites

2 · Summary

These examples isolate the operational lessons of the main page. The nonemptiness reduction shows how undecidability moves backward along a many-one map, the unreachable-state construction separates syntax from semantics, and the counterexample on complements fixes the exact logical shape of a valid reduction.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-12Open item page →

Using A_TM <=m nonemptiness to transfer undecidability and recognizability information

Example

Let NONEMPTYTM:={⌜N⌝:L(N)≠∅}. The standard map from acceptance to nonemptiness shows how undecidability transfers along a many-one reduction.

Facts & Assumptions

Given: A coded pair ⟨⌜M⌝,w^⟩.

[L1]

If A≤mB, then decidability and recognizability of B transfer backward to A, by Computable many-one reductions transfer decidability and recognizability backward.

[L2]

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

Verification

technique · direct
1.1givenconstruct

From ⟨⌜M⌝,w^⟩, build a machine NM,w that ignores its own input, simulates M on w, and accepts exactly when that simulation accepts. Then L(NM,w)≠∅ exactly when M accepts w. So this construction gives a many-one reduction from ATM to NONEMPTYTM.

2.1L1L2step 1.1∎

If NONEMPTYTM were decidable, [L1] would make ATM decidable, contradicting [L2]. Thus the nonemptiness problem is undecidable. More generally, recognizability of a target pulls backward along a many-one reduction, while the contrapositive pushes nonrecognizability of the source forward to the target.

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-12Open item page →

Adding an unreachable state changes syntax without changing the recognized language

Example

Start with any Turing machine M. Form a new machine M′ by adding one extra state qdead and no transitions into it.

Facts & Assumptions

Given: A Turing machine M and the modified machine M′.

[L1]

Syntactic properties can change while the recognized language stays fixed, and those properties therefore fall outside Rice's theorem, by Syntactic machine properties lie outside the scope of Rice's theorem.

Verification

technique · direct
1.1givenconstruct

Because no transition ever enters qdead, the computation of M′ on every input follows exactly the same states, tape symbols, and head moves as the computation of M. Hence L(M′)=L(M).

2.1L1step 1.1∎

Even so, M′ has a different state count and visibly has an unreachable state. Step 1.1 therefore gives a concrete instance of [L1]: the code-level property changes while the language does not.

CounterexampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-12Open item page →

A reduction to the complement is not a reduction to the original target

Statement refuted

A computable many-one reduction may reverse yes-instances and no-instances.

Facts & Assumptions

Given: A={0}, B={1}, and the computable map r on {0,1}∗ defined by r(0)=0 and r(x)=1 for x≠0.

[L1]

A many-one reduction to B must satisfy x∈A  ⟺  f(x)∈B, by Computable many-one reductions between languages.

[L2]

Counterexample

technique · direct
1.1L1given

The map r reverses membership relative to B: the yes-instance 0∈A is sent to 0∉B, while every no-instance x∉A is sent to 1∈B. In particular, already at x=0 the biconditional required by [L1] fails, so r is not a many-one reduction from A to B.

2.1L1L2step 1.1∎

The same map does satisfy x∈A  ⟺  r(x)∈B‾, so it is a reduction from A to B‾. Thus an answer-reversing transformation changes the target to its complement and is not a valid reduction to B; this refutes [L2].

Sources