Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-generatedprecheck 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.

If G has fewer than (δn)h induced copies of H and ∣W∣≥λn, then G[W] has fewer than ((δ/λ)∣W∣)h

Statement

Let H have h vertices. If G has n vertices, ind⁡H(G)<(δn)h, and W⊆V(G) satisfies ∣W∣≥λn>0, then

ind⁡H(G[W])<((δ/λ)∣W∣)h.

Facts & Assumptions

Given: A graph H with h vertices, a graph G on n vertices, reals δ>0 and λ>0, and a subset W⊆V(G) with ∣W∣≥λn and ind⁡H(G)<(δn)h.

[L1]

An induced embedding of H into G[W] is, by definition, an induced embedding of H into G whose image lies in W (Induced embeddings and induced copies of a graph, Subgraphs, induced subgraphs and spanning subgraphs).

[L2]

The induced-copy number counts induced embeddings (The induced-embedding count ind⁡H(G)).

Proof

technique · direct
1.1L1

By [L1], every induced embedding counted by ind⁡H(G[W]) is also counted by ind⁡H(G).

2.1step 1.1L2

Therefore ind⁡H(G[W])≤ind⁡H(G)<(δn)h by [L2].

3.1step 2.1algebra∎

Since ∣W∣≥λn, one has n≤∣W∣/λ. Substituting this into step 2.1 yields ind⁡H(G[W])<((δ/λ)∣W∣)h.

Depends on

Used by

Dependency tree · two levels

12 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