Alphabeta Math
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.

✓ 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.

Resource Bounds and Machine Invariance: Examples and Counterexamples

1 · Prerequisites

2 · Summary

These examples keep the page's asymptotic claims concrete. One turns a specific quadratic time bound directly into a quadratic space bound, another changes between two explicitly translated tuple encodings, and the counterexample returns to the standard single-tape versus multitape slowdown to show why model invariance is only asymptotic.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

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

A machine that runs in O(n^2) time necessarily uses at most O(n^2) space

Example

Let M be a decider that, on an input of length n, makes at most 3n2+5n+7 steps. For instance, M might repeatedly sweep across the input while keeping only a bounded amount of auxiliary control information. Then the time-bound lemma implies that the total number of visited tape cells is also at most a constant multiple of n2.

Facts & Assumptions

Given: A machine M with running time at most 3n2+5n+7 on inputs of length n.

[L1]

Any O(T(n)) time bound yields an O(T(n)) space bound for a fixed machine, by An eventually positive time bound yields the same-order space bound.

Verification

technique · direct
1.1given

The polynomial 3n2+5n+7 is O(n2). So the hypothesis places M in the setting of [L1] with T(n)=n2.

2.1L1step 1.1∎

Applying [L1] yields Space⁡M(n)=O(n2). This matches the concrete intuition that a machine cannot visit more than a constant multiple of its own number of time steps.

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

An equivalent one-tape simulation need not preserve the original step count

Statement refuted

The false statement claims that translating a computation between standard machine models preserves exact step counts. Let M be a one-tape machine that scans its input once and then halts, regarded also as a two-tape machine that ignores its second tape. We construct an equivalent one-tape translation whose step count is exactly three times the nonhalting-step count of M.

Facts & Assumptions

Given: The scanning machine M described above.

[L1]

Every multitape time-T computation on inputs of length n has a single-tape simulation in O((n+T(n))2) time, by Every multitape time-T computation has a single-tape simulation in O((n+T(n))^2) time. This is an upper bound for a simulation construction, not a quadratic lower bound.

[L2]

A deterministic one-tape machine is the k=1 case of the deterministic multitape model (Multitape and nondeterministic Turing machine variants).

Counterexample

technique · direct
1.1L2given

On an input of length n, the two-tape presentation of M ignores its second tape, makes one pass across the input on the first tape, and halts after a positive linear number t(n) of steps.

2.1step 1.1construct

Construct a one-tape machine S by replacing each nonhalting transition of M with three transitions. Before executing the original transition, S moves one cell right without changing the scanned symbol, records in its finite control the original state and symbol together with the symbol seen on the right, then moves left while restoring that right-hand symbol, and finally performs the original transition. The two preliminary moves return the tape and head to their original state, so S has exactly the same accept/reject behavior as M but uses exactly 3t(n) steps on every length-n input.

3.1L1step 1.1step 2.1∎

Since t(n)>0, the translated computation of S and the original two-tape computation of M have different exact step counts. Thus this translation is a counterexample to the false claim; [L1] is consistent with the witness because both running times remain linear.

Sources