Alphabeta Math
ExampleConstruction: Literature-sourcedVerification: AI-adaptedPipeline-generated
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.

At loop value zero the normalized closure trace is undefined

Example

Set R=C and δ=0. The unnormalized planar closure Tr⁡n remains defined, but no normalized closure trace τn=δ−nTr⁡n exists. Already at n=1, the identity has closure value Tr⁡1(11)=0, so a scalar normalization of this closure cannot satisfy τ1(11)=1.

Facts & Assumptions

Given: The loop value δ=0 and the one-strand identity diagram.

[F1]

The unnormalized closure assigns δc(D) to each closed diagram and requires no unit hypothesis; normalization is defined only when δ is a unit (Unnormalized diagram closure and partial trace).

Verification

technique · direct calculation
1.1F1F2given

At n=1, closing the single vertical strand joins its top and bottom endpoints to make exactly one circle. By [F1] and [F2], Tr⁡1(11)=δ1=0.

2.1F1step 1.1algebra∎

Any normalized trace must send the algebra identity to 1, but the proposed scalar multiple δ−1Tr⁡1 is undefined because 0 has no multiplicative inverse in C. Even replacing it by any scalar multiple cTr⁡1 gives cTr⁡1(11)=c⋅0=0, never 1. Hence the unnormalized closure exists while the normalized closure does not.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

8 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