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.
Boone Machine Simulation and Fixed-Presentation Undecidability — Examples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Boone Machine Simulation and Fixed-Presentation Undecidability
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Decidable, Recognizable, and Enumerable Languages
- Decision Problems for Finitely Presented Groups
- Diagonalization and the Halting Problem
- Finite Counting, Factorials and Binomial Coefficients
- Formal Languages, Encodings, and Decision Problems
- Free Groups and Presentations
- Free Products and Amalgamation
- Group Homomorphisms and the Isomorphism Theorems
- Hnn Extensions and Brittons Lemma
- Linear Recurrences and Rational Generating Functions
- Normal Subgroups and Quotient Groups
- Relations, Functions, and Quotients
- Robust Machine Models and Universal Computation
- The ZFC Axioms and the Basic Set Constructions
- Turing Machines, Configurations, and Computation
- Turing-Machine Configuration Boundary Interface
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
Boone sharp is not word inversion
Example
Choose the distinct tape symbols and in . Then , whereas . These have different spellings.
Facts & Assumptions
Given: Set and .
The machine tape alphabet contains its blank , while is a new symbol distinct from every member of ; the subsequent tape alphabet is . (Boone machine semigroup and augmented configurations)
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
By [F1], are distinct letters of . Applying the defining letter substitution to the two positions gives .
The word is the inverse spelling: cancels first and then ; the product in the other order cancels first and then . Thus .
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.
Boone halting cleanup through an empty right tape
Example
For any tape symbols , including , the augmented stopping configuration has the cleanup The middle two words have empty right tape.
Facts & Assumptions
Given: Tape symbols and the displayed stopping configuration. No reachability from a particular input is claimed.
Cleanup relations are , for , and . Stopping configurations may have empty right tape. (Boone machine semigroup and augmented configurations)
Verification
Substitute with prefix and suffix . The result is , whose left tape is the one-letter word and whose right tape is empty. It is augmented because its state is .
Substitute with prefix . The result is , with both tape contexts empty and the same stopping state.
Substitute with both contexts empty. This produces the terminal augmented word . Each preceding word had one state and the two outer markers; this last rule removes the markers. The three substitutions remain valid for , giving a concrete all-blank instance. Thus requiring nonempty right tape throughout cleanup would exclude the explicitly reached middle words.
Fixed boone undecidability implies uniform undecidability
Example
Assume AC. Specialize a proposed uniform word-problem algorithm to the single Boone presentation . This gives the impossible fixed-presentation decider 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 which terminates and answers correctly on every valid pair . Assume AC as in the theorem supplying the fixed instance.
There is one fixed finite presentation whose identity language is undecidable. (Novikov boone undecidability of the word problem)
Verification
Hard-code the finite string describing in a wrapper machine. On input over its signed generating alphabet, the wrapper writes this constant string and the pair delimiter, copies , and runs . This explicitly computes ; the preprocessor terminates because the prefix is fixed and is finite.
Every such pair is a valid input for , so halts on every and satisfies exactly when in . For instance , and by cancellation. The claimed behavior for all words, rather than these two calculations alone, makes a decider forbidden by [F1]. Thus the proposed uniform algorithm cannot exist.