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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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Boone Machine Simulation and Fixed-Presentation Undecidability — Examples

1 · Prerequisites

2 · Summary

These calculations distinguish tape-letter sharp from word inversion, exhibit the empty right tape during stopping cleanup, and specialize a hypothetical uniform algorithm to the fixed Boone presentation.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-generatedVerification: AI-generatedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Boone sharp is not word inversion

Example

Choose the distinct tape symbols a=s0 and b=h in Sˉ. Then (ab)#=a1b1, whereas (ab)1=b1a1. These have different spellings.

Facts & Assumptions

Given: Set a=s0 and b=h.

[F1]

The machine tape alphabet S contains its blank s0, while h is a new symbol distinct from every member of S; the subsequent tape alphabet is Sˉ=S{h}. (Boone machine semigroup and augmented configurations)

[F2]

Sharp reverses each tape-letter sign in the same order; an inverse word reverses the whole order as well. (Boone group presentation and special word)

Verification

1.1

By [F1], a,b are distinct letters of Sˉ. Applying the defining letter substitution to the two positions gives (ab)#=a#b#=a1b1.

F1F2givenalgebra
1.2

The word b1a1 is the inverse spelling: (ab)(b1a1) cancels first bb1 and then aa1; the product in the other order cancels first a1a and then b1b. Thus (ab)1=b1a1.

F2givenalgebra
2.1

The two outputs start with different symbols and neither has adjacent inverse pairs, so their reduced spellings differ. For a single tape letter the two operations agree, and both send the empty word to the empty word. The length-two instance displays why sharp cannot be replaced by word inversion; no inequality in an arbitrary quotient group is inferred from spelling alone.

step 1.1step 1.2
ExampleConstruction: AI-generatedVerification: AI-generatedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Boone halting cleanup through an empty right tape

Example

For any tape symbols a,bS, including a=b=s0, the augmented stopping configuration haq0bh has the cleanup haq0bhhaq0hhq0hq. The middle two words have empty right tape.

Facts & Assumptions

Given: Tape symbols a,bS and the displayed stopping configuration. No reachability from a particular input is claimed.

[F1]

Cleanup relations are q0s=q0, sq0h=q0h for sS, and hq0h=q. Stopping configurations may have empty right tape. (Boone machine semigroup and augmented configurations)

Verification

1.1

Substitute q0b=q0 with prefix ha and suffix h. The result is haq0h, whose left tape is the one-letter word a and whose right tape is empty. It is augmented because its state is q0.

F1given
2.1

Substitute aq0h=q0h with prefix h. The result is hq0h, with both tape contexts empty and the same stopping state.

F1step 1.1
3.1

Substitute hq0h=q with both contexts empty. This produces the terminal augmented word q. Each preceding word had one state and the two outer markers; this last rule removes the markers. The three substitutions remain valid for a=b=s0, giving a concrete all-blank instance. Thus requiring nonempty right tape throughout cleanup would exclude the explicitly reached middle words.

F1step 2.1
ExampleConstruction: AI-generatedVerification: AI-generatedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Fixed boone undecidability implies uniform undecidability

Example

Assume AC. Specialize a proposed uniform word-problem algorithm to the single Boone presentation PB. This gives the impossible fixed-presentation decider D(z)=U(PB,z). Consequently no Turing-machine algorithm decides identity for every pair consisting of a finite presentation and a signed word in its generators.

Facts & Assumptions

Given: A proposed algorithm U which terminates and answers correctly on every valid pair (P,z). Assume AC as in the theorem supplying the fixed instance.

[F1]

There is one fixed finite presentation PB whose identity language is undecidable. (Novikov boone undecidability of the word problem)

Verification

1.1

Hard-code the finite string describing PB in a wrapper machine. On input z over its signed generating alphabet, the wrapper writes this constant string and the pair delimiter, copies z, and runs U. This explicitly computes D(z)=U(PB,z); the preprocessor terminates because the prefix is fixed and z is finite.

F1givenconstruct
2.1

Every such pair is a valid input for U, so D halts on every z and satisfies D(z)=yes exactly when z=1 in B. For instance D(ε)=U(PB,ε)=yes, and D(xx1)=yes by cancellation. The claimed behavior for all words, rather than these two calculations alone, makes D a decider forbidden by [F1]. Thus the proposed uniform algorithm cannot exist.

F1step 1.1given

Sources