Alphabeta Math
DefinitionDefinition: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-12
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.

Probabilistic polynomial time machine interface

Definition

A probabilistic Turing machine (PTM) is a fixed multitape machine with two total ordinary transition tables. At each nonhalting transition a fresh independent fair bit selects the table. It is polynomial time if one fixed integer polynomial p bounds the number of transitions on every random branch on every input x by p(∣x∣). This is a worst-case branch bound, using Polynomial time verifier and reduction interface, not an expected-time bound.

For an input of length n, probabilities may be defined on the finite space Ωn={0,1}p(n), giving every word mass 2−p(n). A deterministic simulator uses bit j for transition j and ignores unused suffix bits after halting. Acceptance probability is the sum of masses of words giving acceptance. Independence has the finite-variable meaning of Pairwise and mutual independence of finite-valued random variables. The finite probability space is not itself storage charged to the machine.

Facts & Assumptions

Given: A PTM with the displayed all-branch bound p.

[F1]

Mutual independence means that every prescribed finite set of coordinate values has joint probability equal to the product of its marginals (Pairwise and mutual independence of finite-valued random variables).

Verification

1.1F1given

A fixed prefix of j bits occurs in 2p(n)−j words, hence has mass 2−j. More generally, prescribing any j distinct bit positions leaves p(n)−j free coordinates and has the same count. Each marginal is one half, and the joint probabilities factor, exactly as in F1. The empty prescription has mass one.

2.1step 1.1given∎

For a fixed supplied word, the simulator and the PTM take the same first table, and agreement through transition j makes them use the same table and configuration at the next transition. Thus they agree up to the halt by induction. A branch halting after j steps corresponds to precisely the words with that consumed prefix, of total mass 2−j; prefixes for distinct terminal branches are disjoint. Summing their masses proves agreement with fresh fair-bit semantics, even when the stopping time depends on previous bits. Unused suffixes have been counted, not assumed independent of a stopping rule. For p(n)=0 the space is the singleton containing the empty word; in a model with nonhalting start such a bound is impossible on that input, which is consistent with the definition.

Depends on

Used by

Dependency tree · two levels

7 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources