Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-08-31
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.

Canonical morphisms between parenthesised tensor words

Definition

Let u and v be parenthesised tensor words on the same ordered letters x1,,xn (Parenthesised tensor words and their evaluation functors) and let Eu,Ev:CnC be their evaluation functors in a monoidal category C (Monoidal category).

A canonical morphism from u to v is a natural transformation EuEv (Natural transformation and its components) belonging to the smallest class closed under:

  • identities 1Eu;
  • the associator, left unitor, and right unitor of C, together with their inverses, whenever their source and target are evaluation functors of parenthesised words;
  • tensoring a canonical morphism with an identity natural transformation on the left or right, whenever the resulting source and target still come from parenthesised words;
  • vertical composition of canonical morphisms.

Thus a canonical morphism is built only from the structural isomorphisms α,λ,ρ, their inverses, identities, tensoring with identities, and composition. No arbitrary morphism of C is canonical merely because its source and target happen to be tensor products of the same objects.

Depends on

Used by

Dependency tree · two levels

6 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