Alphabeta Math
CorollaryStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-08-31
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.

Few induced copies force a linearly large induced subgraph with bounded maximum degree

Statement

Let H be a finite graph and let ϵ∈(0,12). Then there exists δ>0 such that every nonempty finite graph G with

ind⁡H(G)<(δ∣V(G)∣)∣V(H)∣

has a set X⊆V(G) with ∣X∣≥δ∣V(G)∣ for which one of G[X] or G‾[X] has maximum degree at most ϵ∣X∣.

Facts & Assumptions

Given: A finite graph H, a real ϵ∈(0,12), and a nonempty finite graph G with ind⁡H(G)<(δ∣V(G)∣)∣V(H)∣.

[L2]

In a sparse graph, any prescribed size up to half the order can be chosen so that the induced subgraph has proportionally bounded maximum degree (A sparse graph has a prescribed-size induced subgraph of bounded maximum degree).

Proof

technique · direct
1.1L1choosegiven

Apply [L1] with parameter ϵ/4 and let δ:=δ0/2. Then there is a set Z⊆V(G) with ∣Z∣≥2δ∣V(G)∣ such that either G[Z] or G‾[Z] is (ϵ/4)-sparse.

2.1step 1.1L2algebra

Let m:=⌈δ∣V(G)∣⌉. Since ∣Z∣≥2δ∣V(G)∣, we have m≤(∣Z∣+1)/2. Applying [L2] inside the sparse side on Z gives X⊆Z with ∣X∣=m≥δ∣V(G)∣ such that the same side has maximum degree at most 4(ϵ/4)(m−1)≤ϵ∣X∣.

3.1step 2.1∎

Thus one of G[X] or G‾[X] has maximum degree at most ϵ∣X∣, as required.

Depends on

Used by

Dependency tree · two levels

20 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