Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)
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.

Seifert pairing and matrix of an oriented knot

Definition

Assume the Axiom of Choice. Let K:S1↪S3 be a smooth oriented knot in the standard oriented three-sphere, and let F⊂S3 be a connected compact smooth oriented embedded surface with boundary K, oriented so that its boundary orientation is the given orientation of K. Let g be the nonnegative integer determined by χ(F)=1−2g. Choose an ordered integral basis a1,…,a2g of the first singular homology group H1(F;Z), represented by integral one-cycles on F. Orient the normal line of F by requiring (n,u,v) to be positively oriented in S3 whenever (u,v) is a positive tangent basis of F. The positive push-off ai+ is the cycle carried to a sufficiently small positive normal level in a bicollar of F.

For disjoint oriented closed curves J,L⊂S3, orient a meridian μL of L so that a positive tangent to L followed by a positive basis of its normal disk gives the ambient orientation. The linking number lk⁡(J,L) is the integer determined by [J]=lk⁡(J,L)[μL] in H1(S3∖L;Z), using the Alexander-duality identification that sends [μL] to 1. Extend linking additively over integral one-cycles. The Seifert pairing is θF(x,y)=lk⁡(x+,y), and its matrix in the chosen basis is V=(Vij)i,j=12g, where Vij=θF(ai,aj)=lk⁡(ai+,aj). The surface and basis are part of the data; this definition asserts no knot-only matrix invariant.

Definition references

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