Alphabeta Math
CorollaryStatement: Literature-sourcedProof: Literature-sourcedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-06
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.

Evaluation is epic and coevaluation monic for nonzero objects

Statement

If X≠0 in a tensor category and X∨ is a left dual, then ev⁡X:X∨⊗X→1 is epic and coev⁡X:1→X⊗X∨ is monic.

Facts & Assumptions

Given: A nonzero object X of a tensor category and a left dual X∨.

Proof

technique · direct
1.1F1given

The zig-zag identity shows that evaluation is nonzero: otherwise its composite giving 1X would vanish. Its image is therefore a nonzero subobject of the simple object 1, hence all of 1 by [F1]. Thus evaluation is epic.

2.1F1given∎

The other zig-zag identity shows directly that coevaluation is nonzero: if it vanished, its composite giving 1X would vanish. Since its source 1 is simple by [F1], its kernel is either 0 or 1; the nonzero map excludes the latter. Thus coevaluation is monic.

Depends on

Used by

Dependency tree · two levels

3 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