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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.

4 results · all verified · 1 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 3 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Iterative Restriction and Comb-Extraction Lemmas

1 · Prerequisites

2 · Summary

This page isolates the reusable Section 2 lemmas that sit between the earlier P5 blockade machinery and the later six-vertex structure pages. It keeps the graph-class-free parts of the iteration visible: the nearly covered sparse-pair extraction, the leaf-reducible reduction, the multiplicative sparsity-drop lemma, and the comb-producing alternative.

The proofs are written in the normalization the later route actually uses. In particular, the generalized nearly covered sparse-pair lemma removes the unused P5-free hypothesis from Claim 5.2.1, and the leaf-reducible lemma keeps only the graph-level consequence needed for later pages.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

Leaf-reducible finite graph families

Definition

Let F be a finite family of finite graphs. We say that F is leaf-reducible if there exist a graph HF and a leaf vV(H) such that the modified family

F:={H{v}}(F{H})

has the Erdős-Hajnal property in the family sense (The Erdős–Hajnal property and an Erdős–Hajnal constant for a hereditary graph class, H-free and F-free graphs under the induced-subgraph convention).

Thus a leaf-reducible family is one for which deleting one leaf from one member produces a new forbidden family already known to have the Erdős-Hajnal property.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-01Open item page →

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

Statement

Let x,y>0 with xy28, and let G be a y3-sparse graph with V(G)y4. Suppose that G is not 2y4-sparse, and that there do not exist disjoint sets X,YV(G) such that

Xy4V(G),Y(14y)V(G),

and Y is x-sparse to X. Then there exist a vertex vV(G) and disjoint sets A,BV(G){v} such that:

  1. AV(G)NG[v] and BNG(v);
  2. A(13y)V(G) and By4V(G);
  3. A is y2-sparse to B; and
  4. every vertex of B has at least x2A 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 xX neighbours in X (Sparsity of one vertex set to another, and weak sparsity of a pair).

Proof

technique · direct
1.1

Because G is not 2y4-sparse, some vertex v has degree at least 2y4V(G). Let N:=NG(v). Then N2y4V(G).

givenchooseL1
2.1

Let A be the set of vertices in V(G)(N{v}) with at least 12y2N neighbours in N. Averaging over the edges between A and N, some vertex of N has at least 12y2A neighbours in A. Since every vertex has degree at most y3V(G) by [L1], we obtain 12y2Ay3V(G), so A2yV(G).

step 1.1L1choosealgebra
3.1

Define A:=V(G)(NA{v}). Since G is y3-sparse, [L1] gives Ny3V(G), and because V(G)y4 we have 1yV(G). Therefore AV(G)(y3V(G)+2yV(G)+1)(13y)V(G). Also, every vertex of A has fewer than 12y2N neighbours in N by definition of A.

step 2.1L1algebra
4.1

Let NN be the set of vertices with at most x2A neighbours in A, and put B:=NN. The number of edges between A and N is at most x2AN, so at most xA vertices of A have more than xN neighbours in N. Hence at least AxA(13yx)V(G)(14y)V(G) vertices of A have at most xN neighbours in N.

step 3.1L2algebra
5.1

If Ny4V(G), then step 4.1 gives a set YA with Y(14y)V(G) such that every vertex of Y has at most xN neighbours in N. By [L2], the pair (X,Y):=(N,Y) is then a forbidden large sparse pair, contradicting the hypothesis. Therefore N<y4V(G).

step 4.1L2assume-contradischarge-contradiction
6.1

Since N2y4V(G) by step 1.1 and N<y4V(G) by step 5.1, we have B=NNy4V(G). By definition of B, every vertex of B has more than x2A neighbours in A. Also step 3.1 gives at most 12y2N neighbours in N for each vertex of A, while step 5.1 implies B>N/2; hence 12y2N<y2B, so every vertex of A has at most y2B neighbours in B. Therefore A is y2-sparse to B.

step 1.1step 3.1step 5.1L2algebra
7.1

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

step 1.1step 3.1step 6.1
LemmaStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-09-01Open item page →

Leaf-reducible families yield a large anticomplete pair or a deeper restricted induced subgraph

Statement

Let F be a leaf-reducible finite family of graphs. Then there exist constants d>0 and h1 such that for every y(0,12), every b>1, and every y-sparse F-free graph G, at least one of the following holds:

  1. there are disjoint sets X,YV(G) with Xybd+1V(G),Y(1hy)V(G), and Y anticomplete to X; or
  2. G has a yb-restricted induced subgraph with at least ybd+1V(G) vertices.

Facts & Assumptions

Given: A leaf-reducible finite family F, parameters y(0,12) and b>1, and a y-sparse F-free graph G.

[L1]

Because F is leaf-reducible, there exist HF and a leaf vV(H) such that F:={H{v}}(F{H}) has the Erdős-Hajnal property (Leaf-reducible finite graph families).

[L2]

For a finite family, the Erdős-Hajnal property, the polynomial Rödl property, and virality are equivalent (For a finite family, the Erdős–Hajnal property, the polynomial Rödl property, and virality are equivalent).

[L3]

Deleting a leaf from each of two forbidden graphs preserves virality (Deleting a leaf from each of two forbidden graphs preserves virality).

[L4]

A graph is F-free when it contains no induced copy of any member of F (H-free and F-free graphs under the induced-subgraph convention).

Proof

technique · direct
1.1

By [L1], fix H and v so that the modified family F:={H{v}}(F{H}) has the Erdős-Hajnal property. By the implication from assertion 1 to assertion 3 in [L2], the family F is viral.

L1L2
2.1

Apply [L3] with both leaf-deletion slots equal to the same graph H and with the same leaf v. The two modified families are both F, so step 1.1 makes them viral. Therefore F itself is viral. Using the implication from assertion 3 to assertion 2 in [L2], choose d>0 such that every F-free graph has an ϵ-restricted induced subgraph on at least ϵd times its number of vertices for every ϵ(0,12). Set h:=1.

step 1.1L2L3choose
3.1

Since G is F-free by [L4], step 2.1 applies to G with ϵ:=yb(0,12). We obtain a yb-restricted induced subgraph of G with at least (yb)dV(G)=ybdV(G) vertices. Since y(0,12), one has ybdybd+1, so this induced subgraph also has at least ybd+1V(G) vertices. Hence outcome 2 holds.

step 2.1L4algebra
4.1

Because outcome 2 always holds, the displayed dichotomy is satisfied.

step 3.1
LemmaStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-01Open item page →

Iterated sparse restriction reaches the target sparsity threshold

Statement

Let c(0,1), b1>1, b2,b3>0, and assume b1b2b2+b3. Suppose that x(0,c) and that a graph G satisfies:

  1. G has a c-sparse induced subgraph with at least cb2V(G) vertices; and
  2. for every λ[x,c] and every λ-sparse induced subgraph F of G with V(F)λb2V(G), there is a λb1-sparse induced subgraph of F with at least λb3V(F) vertices.

Then G contains an x-sparse induced subgraph with at least xb1b2V(G) vertices.

Facts & Assumptions

Given: The parameters and hypotheses in the statement.

[L1]

A λ-sparse vertex set is nonempty, and every vertex has degree at most λ times the size of that set inside the induced subgraph (c-sparse, c-dense and c-restricted vertex sets).

Proof

technique · direct
1.1

Hypothesis 1 supplies a nonempty c-sparse vertex set, because c-sparse sets are nonempty by [L1]. Hence V(G)>0.

givenL1
1.2

For each nonempty induced subgraph E of G, let μ(E) be its maximum degree divided by V(E); by [L1], the graph E is λ-sparse exactly when μ(E)λ. Define λ(E):=max(xb1,μ(E)). Hypothesis 1 gives a c-sparse induced subgraph E0 with at least cb2V(G) vertices, so λ(E0)c and V(E0)λ(E0)b2V(G). Because G has only finitely many induced subgraphs, the set of values λ(E) with λ(E)c and V(E)λ(E)b2V(G) has a minimum. Choose an induced subgraph F for which that minimum is attained, and write λ:=λ(F).

givenchooseL1algebra
2.1

Suppose that λx. Then hypothesis 2 applies to F and produces a λb1-sparse induced subgraph FF with at least λb3V(F)λb2+b3V(G)λb1b2V(G) vertices, where the last inequality uses b1b2b2+b3. Since F is λb1-sparse, we have μ(F)λb1 and therefore λ(F)=max(xb1,μ(F))λb1<λ. Also V(F)λ(F)b2V(G). This contradicts the minimal choice of λ. Therefore λ<x.

step 1.2givenalgebraassume-contradischarge-contradiction
3.1

Since λ=λ(F), step 1.2 gives xb1λ, and step 2.1 gives λ<x. Because F is λ-sparse, it is also x-sparse. Moreover V(F)λb2V(G)(xb1)b2V(G)=xb1b2V(G).

step 1.2step 2.1algebra
4.1

The induced subgraph F from step 3.1 is the required x-sparse induced subgraph.

step 3.1
LemmaStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-09-01Open item page →

A sparse graph either sparsifies further or yields a comb or a large sparse pair

Statement

Let 0<xy28, and let G be a y3-sparse graph with V(G)y4. Then at least one of the following holds:

  1. there are disjoint sets X,YV(G) such that Xy4V(G),Y(14y)V(G), and Y is x-sparse to X;
  2. G is 2y4-sparse; or
  3. for some integer [y1,x2], there is an (,y4V(G)/2)-comb ((ai,Bi):i[]) in G, and there is a vertex vV(G)({ai:i[]}i=1Bi) that is complete to i=1Bi and anticomplete to {ai:i[]}.

Facts & Assumptions

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

[L1]

If outcomes 1 and 2 fail, then there exist a vertex vV(G) and disjoint sets A,BV(G){v} with AV(G)NG[v], BNG(v), A(13y)V(G), By4V(G), A y2-sparse to B, and every vertex of B having at least x2A neighbours in A (A sparse graph without a large sparse pair has a large nearly covered sparse pair).

[L2]

If every vertex of a nonempty set B has at least ξA neighbours in a nonempty set A, then some set SA with S1/ξ meets the neighbourhood in A of at least half of the vertices of B (A dense bipartite side has a small hitting set).

[L3]

In a bipartite graph (A,B) where every vertex of B has a neighbour in A and every vertex of A has at most Δ neighbours in B, either there is a (t,Γt2)-comb for some integer t1, or B33/23/23/2Γ1/2Δ1/2 (A bipartite graph with bounded A-degree has a large comb or a small B-side).

[L4]

An (,w)-comb in a graph is a sequence of distinct teeth ai and pairwise disjoint blocks Bi such that ai is complete to Bi and anticomplete to every other block (Combs in a graph).

Proof

technique · cases
1.1

[assume-case pair] If outcome 1 already holds, there is nothing to prove.

givencases
1.2

[assume-case sparser] If outcome 2 already holds, there is nothing to prove.

givencases
1.3

[assume-case comb] Assume now that outcomes 1 and 2 both fail. Then [L1] gives a vertex vV(G) and disjoint sets A,BV(G){v} with AV(G)NG[v], BNG(v), and the displayed nearly covered sparse pair properties. In particular A and B are nonempty.

L1given
2.1

Apply [L2] with ξ=x2 to the sets A,B. We obtain a set SA with Sx2 such that at least half of the vertices of B have a neighbour in S. Let BB be the set of vertices with a neighbour in S; then BB/212y4V(G).

step 1.3L2choosealgebra
3.1

Consider the bipartite graph between S and B. Every vertex of B has a neighbour in S by definition. Since A is y2-sparse to B and SA, every vertex of S has at most y2B neighbours in B. Apply [L3] with d:=1/2, Δ:=y2B, and Γ:=B.

step 1.3step 2.1L3algebra
4.1

The second alternative of [L3] is impossible for these parameters, because it would give B33/23/23/2B1/2(y2B)1/2=33/23/23/2yB. The constant in front of yB is less than 20, while BB/2>20yB since y28<1/40. Hence [L3] yields a (,B/2)-comb ((ai,Bi):i[]) with each aiS and each BiB.

step 2.1step 3.1L3algebra
5.1

Because the teeth ai are distinct members of S, we have Sx2. Also [L4] gives BiB/2 for each tooth block, while every aiSA has at most y2B neighbours in B. Since ai is complete to Bi by [L4], this forces B/2Biy2B, and therefore y1. Finally By4V(G) from step 1.3, so each block has size at least y4V(G)/2.

step 1.3step 2.1step 4.1L4algebra
6.1

By step 1.3, we already have a vertex v with BNG(v) and AV(G)NG[v]. Since each aiA and each BiB, the vertex v is complete to iBi and anticomplete to {ai:i[]}. Together with step 5.1, this is exactly outcome 3.

step 1.3step 5.1
7.1

The three cases 1.1, 1.2, and 1.3 exhaust the possibilities, so one of the stated outcomes always holds.

step 1.1step 1.2step 6.1cases-exhaustive

5 · Examples, counterexamples and false statements

None yet.

Sources