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.
Robust Machine Models and Universal Computation: Examples and Counterexamples
1 · Prerequisites
- Construction of the Natural Numbers
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Formal Languages, Encodings, and Decision Problems
- Linear Recurrences and Rational Generating Functions
- Relations, Functions, and Quotients
- Robust Machine Models and Universal Computation
- The ZFC Axioms and the Basic Set Constructions
- Turing Machines, Configurations, and Computation
2 · Summary
These examples make the robustness theorems concrete. One explicit stay-put instruction is replaced by a left-right macro, one effective enumeration is viewed through its first successful decodings, and one looping machine/input pair shows why universal simulation does not itself decide halting.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Replacing a stay-put transition by a right-left macro
Example
Consider the one-tape machine with tape alphabet and one
transition
On a configuration whose scanned cell contains 1, this machine writes 0,
enters state , and leaves the head on that same tape cell.
Introduce a fresh state and replace that transition by
Facts & Assumptions
Given: The source transition and the replacement macro displayed above.
Stay-put moves can be replaced by an equivalent machine using only left and right moves, by Stay-put moves can be eliminated from fixed-tape Turing-machine models.
A configuration records the current state, head position, and tape contents, so two machines agree on one next configuration exactly when those three pieces of data agree, by Configurations of a deterministic one-tape Turing machine.
Verification
Let be any configuration with . The original transition sends in one step to the configuration , where agrees with away from and satisfies .
Under the replacement macro, the first step writes 0 at cell and moves the head to , entering state . The second step leaves the symbol at cell unchanged, moves the head back to , and enters state . So after the two-step macro the transformed machine is also in configuration .
Thus the concrete macro produces exactly the same next configuration as the stay-put transition. This is the local pattern asserted abstractly by [L1], and [L2] explains why matching state, head position, and tape contents is enough.
Listing the first few well-formed machine codes in shortlex order
Example
Write for the binary code of a machine description tuple under the explicit unary-arity, self-delimiting encoder fixed on the A-page. The first three successful description tuples whose codes occur in shortlex order are They all have , , and , so there is one nonhalting state , only the blank tape symbol , and exactly one transition triple to specify.
The machines decoded from these three tuples are, respectively: an immediate left-clamped looper, a right-moving looper, and an immediate acceptor.
Facts & Assumptions
Given: The three description tuples above and the shortlex ordering of binary words.
Coded deterministic one-tape Turing machines admit an effective enumeration by running the total decoder over binary words in shortlex order and outputting the successful decodings, by Turing machines admit an effective enumeration.
The machine decoder is total and reconstructs a unique coded machine from every successful code, by The chosen machine coding is injective and has a total decoder.
Verification
Each tuple has the correct length , satisfies , , and , and records a transition entry with target state in , tape symbol , and move bit in . So each is a well-formed machine code.
Any well-formed machine description tuple has arity , with equality only when and ; then necessarily . Under the fixed encoder, the unary arity header makes every larger-arity code longer than these shortest valid codes. For arity six, shortlex compares the self-delimiting canonical entries in order: target with move , target with move , and target with move give respectively.
By [L2], decoding recovers exactly the machine described by . Reading off the single transition triple of each tuple gives the three concrete machines described in the example statement.
Therefore the shortlex enumeration from [L1] begins by listing these three machines, each exactly once. This shows concretely what the effective enumeration does at its first successful decodings.
A universal machine diverges on a looping machine/input pair
Statement refuted
The false statement FALSE: universality decides halting claims that every universal Turing machine decides whether the simulated machine halts.
Let be the coded machine with its unique transition given by . Since its input alphabet is empty, its unique input word is . Fix any universal machine for the chosen coding, whose existence is guaranteed by A universal Turing machine exists for the chosen coding, and take the coded input .
Facts & Assumptions
Given: The looping machine , a universal machine , and the coded input .
The false statement being refuted says that universality itself yields a halting decider, by FALSE: universality decides halting.
There exists a universal Turing machine for the chosen coding, by A universal Turing machine exists for the chosen coding.
Counterexample
The machine has an infinite run on its unique input , because its only action is to move right forever and it never enters a halting state.
By the universality clause recalled in the counterexample statement, the universal machine must reproduce that same infinite run on the coded input . So diverges on this input rather than halting with a yes-or-no answer.
Therefore the coded input is a counterexample to the claim in [L1]. The existence assertion [L2] shows that this is a genuine instance in the chosen coding scheme.