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LemmaStatement: AI-adaptedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passaudited 2026-08-26
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A large γ-self-regular set whose density lies between η and 1η forces at least cWV(H) induced copies of H

Statement

Fix a graph H with h=V(H), a real 0<η<1/2, and constants γ(H,η),c(H,η)>0 and N(H,η) from the induced counting lemma. If 0<γγ(H,η) and WV(G) has WN(H,η) with (W,W) γ-regular and ηdG(W,W)1η, then

indH(G)c(H,η)Wh.

Facts & Assumptions

Given: A graph H with h vertices, a real 0<η<1/2, a graph G, a set WV(G) with WN(H,η), and a real 0<γγ(H,η) such that (W,W) is γ-regular and ηdG(W,W)1η.

[L1]

If 0<η<1/2, the induced counting lemma supplies γ(H,η),c(H,η)>0 and N(H,η); it applies to h sets Wi of size at least N(H,η), repetitions allowed, when every relevant pair is γ(H,η)-regular and the edge- and nonedge-density bounds hold, and then yields at least c(H,η)iWi induced embeddings of H (Induced counting lemma: regular edge and nonedge pairs force many induced copies).

[L2]

If 0<γγ(H,η) and (W,W) is γ-regular, then it is also γ(H,η)-regular: any A,BW with Aγ(H,η)W and Bγ(H,η)W also satisfy the γ-threshold, so the defining density deviation is at most γγ(H,η) (ϵ-regular pairs and self-regular vertex sets).

[L3]

Proof

technique · direct
1.1

Apply [L1] with W1==Wh=W. The repeated-set case is permitted by the statement of the counting lemma.

L1
2.1

By [L2], every pair (Wi,Wj) in this application is γ(H,η)-regular.

step 1.1L2
2.2

If ij is an edge of H, then the required density lower bound is the left inequality ηdG(W,W). If ij is a non-edge, the required upper bound is the right inequality dG(W,W)1η. So all density hypotheses of [L1] are satisfied.

step 1.1given
3.1

Therefore [L1] produces at least c(H,η)Wh induced embeddings of H in G, and [L3] identifies this number with indH(G).

step 2.1step 2.2L1L3

Depends on

Used by

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