Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-6-sol)audited 2026-09-30
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.

Tabloid and column orders for Specht straightening

Definition

Fix a partition λ⊢n. If T is a λ-tabloid, let rT(a) be the row containing label a. For distinct tabloids T,U, let m be the largest label for which rT(m)≠rU(m). Define T>U⟺rT(m)>rU(m). This is the reverse lexicographic order on the row-index vectors (rT(n),…,rT(1)): any two distinct vectors have a largest differing coordinate, and the row numbers there are comparable. Thus it is a finite strict total order on the λ-tabloids.

A λ-tableau is column-standard when its entries strictly increase down each column. For a column-standard tableau t, let ct(a) be the column containing label a. Since entries within each column are sorted, the assignment a↦ct(a) determines t uniquely. For distinct column-standard tableaux t,u, let m be the largest label with ct(m)≠cu(m), and define

t≺u⟺ct(m)<cu(m).

This is a finite strict total order on the column-standard tableaux; in words, the largest label assigned to different columns is farther left in t than in u. For λ=∅, there is one tabloid and one tableau, and each is the sole element of its order.

Depends on

Used by

Dependency tree · two levels

6 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