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LemmaStatement: Literature-sourcedProof: 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.

The chosen machine coding is injective and has a total decoder

Statement

The coding M fixed in A fixed effective binary encoding of deterministic one-tape Turing machines is injective on coded deterministic one-tape Turing machines, and it has a total decoder that either reconstructs the unique coded machine or reports malformed input.

Facts & Assumptions

Given: The fixed coding scheme M from A fixed effective binary encoding of deterministic one-tape Turing machines.

[L1]

A coded deterministic one-tape machine is described by a finite tuple of binary numerals recording m, s, n, and the lexicographically ordered transition triples, and its code is the result of applying the fixed tuple encoder to that description tuple, by A fixed effective binary encoding of deterministic one-tape Turing machines.

[L2]

The machine definition fixes the single variable-arity encoder E(w1,,wk)=1k0c(w1)c(wk), whose arity header and self-delimiting entries give a total parser (A fixed effective binary encoding of deterministic one-tape Turing machines).

Proof

technique · direct
1.1

By [L1], each coded machine M has one definite description tuple Desc(M) of some fixed length 3+3(m2)n, and M is exactly the tuple code of that tuple.

L1given
1.2

A total decoder first uses [L2] to parse the unary arity header and then exactly that many self-delimiting entries. If the parse fails or leaves unread bits, it returns the malformed token; otherwise it recovers one finite tuple of binary words.

L2construct
2.1

If M=N, then the global injectivity in [L2] gives equality of the decoded tuples, including their arities, so Desc(M)=Desc(N). By [L1], that common tuple records the same values of m, s, n, and every transition triple for both machines. Hence M=N.

L1L2step 1.1
2.2

The decoder then checks the shape demanded by [L1]: every entry must be a canonical binary numeral; the tuple must have length 3+3(m2)n for the recovered first three numerals; one must have m3, n1, and 0s<n; and every transition entry must lie in Qm×Γn×{0,1}. If any check fails, the decoder returns the malformed token. If all checks pass, those data determine one coded deterministic one-tape machine.

L1step 1.2
3.1

Step 2.1 proves injectivity, and steps 1.2 and 2.2 produce a total decoder. Therefore the chosen machine coding is injective and effectively decodable.

step 2.1step 1.2step 2.2

Depends on

Used by

Dependency tree · two levels

7 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