Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01
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.

Wonderful finite graph families

Definition

Let F be a finite family of finite graphs, and write

F‾:={H‾:H∈F}

for its family of complements (Graph isomorphisms, automorphisms and graph complements).

We say that F is wonderful if there exists a real constant a≥6 such that the following holds for every y∈(0,12) and every F‾-free graph G (H-free and F-free graphs under the induced-subgraph convention).

Suppose that B=(B1,…,Bℓ) is an (ℓ,w)-blockade in G (Blockades, their length, their width, and their support) with ℓ≥y−a, that all blocks have the same size, that every block Bi is anticonnected (Anticonnected graphs and anticonnected components), and that for every distinct i,j∈[ℓ] either

Then at least one of the following conclusions holds:

  1. G has a y4-restricted induced subgraph of size at least w (c-sparse, c-dense and c-restricted vertex sets).
  2. There exists i∈[ℓ] such that at most y∣V(G)∣ vertices v∈V(G)∖V(B) satisfy 0<∣NG(v)∩Bi∣<12∣Bi∣.

This item fixes the symmetric reading of the source phrase "complete or ya-sparse" that the later proof actually uses: when a pair of blocks is not complete, each block is sparse to the other.

Depends on

Used by

Dependency tree · two levels

16 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