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✓ 3 results · all verified · 1 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. The 2 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Robust Machine Models and Universal Computation: Examples and Counterexamples

1 · Prerequisites

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

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-12Open item page →

Replacing a stay-put transition by a right-left macro

Example

Consider the one-tape machine with tape alphabet {0,1,⊔} and one transition δ(q0,1)=(q1,0,S). On a configuration whose scanned cell contains 1, this machine writes 0, enters state q1, and leaves the head on that same tape cell.

Introduce a fresh state r and replace that transition by δ′(q0,1)=(r,0,R),δ′(r,a)=(q1,a,L)  for every a∈{0,1,⊔}.

Facts & Assumptions

Given: The source transition and the replacement macro displayed above.

[L1]

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.

[L2]

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

technique · direct
1.1given

Let C=(q0,h,t) be any configuration with t(h)=1. The original transition sends C in one step to the configuration (q1,h,t′), where t′ agrees with t away from h and satisfies t′(h)=0.

2.1givenstep 1.1

Under the replacement macro, the first step writes 0 at cell h and moves the head to h+1, entering state r. The second step leaves the symbol at cell h+1 unchanged, moves the head back to h, and enters state q1. So after the two-step macro the transformed machine is also in configuration (q1,h,t′).

3.1L1L2step 2.1∎

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.

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

Listing the first few well-formed machine codes in shortlex order

Example

Write E(D) for the binary code of a machine description tuple D 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 D1=(11,0,1,0,0,0), D2=(11,0,1,0,0,1), D3=(11,0,1,1,0,0). They all have m=3, s=0, and n=1, so there is one nonhalting state 0, only the blank tape symbol 0, 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 D1,D2,D3 above and the shortlex ordering of binary words.

[L1]

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.

[L2]

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

technique · direct
1.1given

Each tuple Di has the correct length 6=3+3(3−2)⋅1, satisfies m=3≥3, n=1≥1, and 0≤s=0<1, and records a transition entry with target state in {0,1,2}, tape symbol 0, and move bit in {0,1}. So each E(Di) is a well-formed machine code.

2.1givenstep 1.1

Any well-formed machine description tuple has arity 3+3(m−2)n≥6, with equality only when m=3 and n=1; then necessarily s=0. 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 0 with move 0, target 0 with move 1, and target 1 with move 0 give E(D1),E(D2),E(D3) respectively.

2.2L2step 1.1

By [L2], decoding E(Di) recovers exactly the machine described by Di. Reading off the single transition triple of each tuple gives the three concrete machines described in the example statement.

3.1L1step 2.1step 2.2∎

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.

CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-12Open item page →

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 Mloop=(3,0,1,τloop) be the coded machine with its unique transition given by τloop(0,0)=(0,0,1). Since its input alphabet is empty, its unique input word is ε. Fix any universal machine U for the chosen coding, whose existence is guaranteed by A universal Turing machine exists for the chosen coding, and take the coded input ⟨⌜Mloop⌝,ε^⟩.

Facts & Assumptions

Given: The looping machine Mloop, a universal machine U, and the coded input ⟨⌜Mloop⌝,ε^⟩.

[L1]

The false statement being refuted says that universality itself yields a halting decider, by FALSE: universality decides halting.

[L2]

There exists a universal Turing machine for the chosen coding, by A universal Turing machine exists for the chosen coding.

Counterexample

technique · direct
1.1given

The machine Mloop has an infinite run on its unique input ε, because its only action is to move right forever and it never enters a halting state.

2.1givenstep 1.1

By the universality clause recalled in the counterexample statement, the universal machine U must reproduce that same infinite run on the coded input ⟨⌜Mloop⌝,ε^⟩. So U diverges on this input rather than halting with a yes-or-no answer.

3.1L1L2step 2.1∎

Therefore the coded input ⟨⌜Mloop⌝,ε^⟩ is a counterexample to the claim in [L1]. The existence assertion [L2] shows that this is a genuine instance in the chosen coding scheme.

Sources