Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedverified 2026-11-05 (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.

Landau–Ginzburg pair and distinct categories

Definition

A Landau–Ginzburg pair is a specified smooth complex space Y (or smooth algebraic variety over the named coefficient field) and a holomorphic (respectively regular) function W:Y→C (respectively W∈Γ(Y,OY)), together with the coefficient and parameter conventions in Specified mathematical mirror datum. The critical locus is Crit⁡(W)={y∈Y:dWy=0}; no finiteness or nondegeneracy of it is implicit.

Two constructions must be specified separately. Fukaya–Seidel data consists of an exact or otherwise explicitly chosen symplectic structure on Y, coefficient ring, brane and grading conventions, critical values, admissible vanishing paths or stops, behavior at noncompact ends, and the selected A-infinity category or pre-category of vanishing-cycle branes. It is a category only after the relevant morphism complexes, polygon operations, regularization, compactness, gluing, and units have been supplied. Matrix-factorization data consists of objects and morphisms as in General Landau–Ginzburg matrix-factorization data, with the Hom differential of The matrix-factorization Hom differential is a dg differential.

The pair alone supplies neither category construction. No equivalence between the two, or between either category and a coherent-sheaf category, is part of this definition. In particular, the fixed-potential matrix-factorization interface imported for a different application does not replace the general (Y,W) data above.

Depends on

Dependency tree · 2 levels

Sources