Alphabeta Math
CorollaryStatement: AI-adaptedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-26
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.

Rödl's theorem for a nonempty family of forbidden induced subgraphs

Statement

Let F be a nonempty family of graphs and let ϵ(0,12). Then there exists δ>0 such that every F-free nonempty finite simple graph G has an ϵ-restricted vertex set of size at least δV(G).

Facts & Assumptions

Given: A nonempty family F of graphs and a real ϵ(0,12).

[L1]

A graph that is F-free is H-free for every HF (H-free and F-free graphs under the induced-subgraph convention).

[L2]

For every graph H and ϵ(0,1/2) there is δ>0 such that every nonempty H-free graph G has an ϵ-restricted set of size at least δV(G) (Rödl: for every H and every ϵ(0,12) there is δ>0 such that every nonempty H-free graph has an ϵ-restricted vertex set of size at least δV(G)).

Proof

technique · direct
1.1

Choose any graph HF.

givenchoose
2.1

By [L2], there is a constant δ>0 such that every nonempty H-free graph has an ϵ-restricted set of size at least δV(G).

step 1.1L2choose
3.1

If G is nonempty and F-free, then [L1] makes it H-free, so step 2.1 applies to G.

step 1.1step 2.1L1

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

11 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