Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-09
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.

Every nonempty open of a classical affine variety is dense

Statement

Every nonempty open subset of an irreducible classical affine variety X is dense. Every finite intersection of nonempty open subsets of X is nonempty and dense; the intersection of the empty family is X.

Facts & Assumptions

Given: An affine variety X over algebraically closed k, a nonempty open of X, and a finite family of nonempty opens of X.

[F1]

Nonempty opens of an irreducible space are dense and irreducible, and two such opens meet (Irreducibility is equivalent to the nonempty-open intersection criterion).

Proof

technique · direct
1.1

The density assertion is F1 with the irreducible nonempty space X. For a finite list U1,,Ur, start with W0=X and set Wj=Wj1Uj. If Wj1 is nonempty open, F1 gives Wj; intersection preserves openness. Finite induction gives Wr nonempty open.

F1given
2.1

F1 now makes Wr dense. This includes r=0, since W0=X is nonempty and its closure is itself.

F1step 1.1

Sources

Source comparison: Milne, Algebraic Geometry, v6.10, §2h p. 45. Conventions here distinguish arbitrary affine algebraic sets from nonempty irreducible varieties.

Depends on

Used by

Dependency tree · two levels

2 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