Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-01
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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.

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A sparse graph without a large sparse pair has a large nearly covered sparse pair

Statement

Let x,y>0 with x≤y≤2−8, and let G be a y3-sparse graph with ∣V(G)∣≥y−4. Suppose that G is not 2y4-sparse, and that there do not exist disjoint sets X,Y⊆V(G) such that

∣X∣≥y4∣V(G)∣,∣Y∣≥(1−4y)∣V(G)∣,

and Y is x-sparse to X. Then there exist a vertex v∈V(G) and disjoint sets A,B⊆V(G)∖{v} such that:

  1. A⊆V(G)∖NG[v] and B⊆NG(v);
  2. ∣A∣≥(1−3y)∣V(G)∣ and ∣B∣≥y4∣V(G)∣;
  3. A is y2-sparse to B; and
  4. every vertex of B has at least x2∣A∣ neighbours in A.

Facts & Assumptions

Given: Parameters x,y and a graph G satisfying the displayed hypotheses.

[L2]

The assertion that Y is x-sparse to X means that every vertex of Y has at most x∣X∣ neighbours in X (Sparsity of one vertex set to another, and weak sparsity of a pair).

Proof

technique · direct
1.1givenchooseL1

Because G is not 2y4-sparse, some vertex v has degree at least 2y4∣V(G)∣. Let N:=NG(v). Then ∣N∣≥2y4∣V(G)∣.

2.1step 1.1L1choosealgebra

Let A′ be the set of vertices in V(G)∖(N∪{v}) with at least 12y2∣N∣ neighbours in N. Averaging over the edges between A′ and N, some vertex of N has at least 12y2∣A′∣ neighbours in A′. Since every vertex has degree at most y3∣V(G)∣ by [L1], we obtain 12y2∣A′∣≤y3∣V(G)∣, so ∣A′∣≤2y∣V(G)∣.

3.1step 2.1L1algebra

Define A:=V(G)∖(N∪A′∪{v}). Since G is y3-sparse, [L1] gives ∣N∣≤y3∣V(G)∣, and because ∣V(G)∣≥y−4 we have 1≤y∣V(G)∣. Therefore ∣A∣≥∣V(G)∣−(y3∣V(G)∣+2y∣V(G)∣+1)≥(1−3y)∣V(G)∣. Also, every vertex of A has fewer than 12y2∣N∣ neighbours in N by definition of A′.

4.1step 3.1L2algebra

Let N′⊆N be the set of vertices with at most x2∣A∣ neighbours in A, and put B:=N∖N′. The number of edges between A and N′ is at most x2∣A∣∣N′∣, so at most x∣A∣ vertices of A have more than x∣N′∣ neighbours in N′. Hence at least ∣A∣−x∣A∣≥(1−3y−x)∣V(G)∣≥(1−4y)∣V(G)∣ vertices of A have at most x∣N′∣ neighbours in N′.

5.1step 4.1L2assume-contradischarge-contradiction

If ∣N′∣≥y4∣V(G)∣, then step 4.1 gives a set Y⊆A with ∣Y∣≥(1−4y)∣V(G)∣ such that every vertex of Y has at most x∣N′∣ neighbours in N′. By [L2], the pair (X,Y):=(N′,Y) is then a forbidden large sparse pair, contradicting the hypothesis. Therefore ∣N′∣<y4∣V(G)∣.

6.1step 1.1step 3.1step 5.1L2algebra

Since ∣N∣≥2y4∣V(G)∣ by step 1.1 and ∣N′∣<y4∣V(G)∣ by step 5.1, we have ∣B∣=∣N∣−∣N′∣≥y4∣V(G)∣. By definition of B, every vertex of B has more than x2∣A∣ neighbours in A. Also step 3.1 gives at most 12y2∣N∣ neighbours in N for each vertex of A, while step 5.1 implies ∣B∣>∣N∣/2; hence 12y2∣N∣<y2∣B∣, so every vertex of A has at most y2∣B∣ neighbours in B. Therefore A is y2-sparse to B.

7.1step 1.1step 3.1step 6.1∎

Step 3.1 gives A⊆V(G)∖NG[v], step 1.1 gives B⊆NG(v), and steps 3.1 and 6.1 give the size, sparsity, and neighbourhood clauses. These are exactly the four clauses of the statement.

Depends on

Used by

Dependency tree · two levels

9 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