Alphabeta Math
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.

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✓ 8 results · all verified · 5 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full by a delegated reviewing agent on the owner's instruction; 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.

Pure Pairs, Forests and Path–Antipath Classes

1 · Prerequisites

2 · Summary

This page collects pure-pair results for path–antipath and forest classes, together with the leaf–co-leaf extension construction.

The forest argument constructs support-regular blockades and embeds rooted trees before deducing the strong Erdős–Hajnal property. The viral extension argument deletes a leaf from one forbidden graph and a co-leaf from the other; its copy-count and sparse-blockade lemmas supply the proof.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

The strong Erdős–Hajnal property for a hereditary graph class

Definition

Let C be a hereditary class of finite graphs. We say that C has the strong Erdős–Hajnal property if there exists a real constant ϵ>0 such that every graph G∈C with ∣V(G)∣≥2 contains disjoint vertex sets A,B⊆V(G) satisfying

∣A∣≥ϵ∣V(G)∣,∣B∣≥ϵ∣V(G)∣,

and such that (A,B) is a pure pair in the sense of Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs.

Equivalently, every nontrivial graph in the class contains a complete or anticomplete pair whose two sides both have linear size.

TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-08-28Open item page →

Every nontrivial P4-free graph is disconnected or has disconnected complement

Statement

Let G be a finite simple graph with at least two vertices. If G is P4-free, then G is disconnected or G‾ is disconnected. Equivalently, no nontrivial P4-free graph is both connected and anticonnected.

Facts & Assumptions

Given: A finite simple graph G with ∣V(G)∣≥2 that is P4-free.

[L1]

Every finite graph with at least two vertices is connected or anticonnected (Every graph with at least two vertices is connected or anticonnected).

[L2]

A graph is anticonnected exactly when its complement is connected (Anticonnected graphs and anticonnected components).

[F1]

In a connected graph every vertex has a neighbour, and if G‾ is connected then no vertex of G is adjacent to all other vertices (Connected graphs and connected components defined by the existence of vertex paths, Graph isomorphisms, automorphisms and graph complements).

Proof

technique · direct
1.1L1given

By [L1], if G is disconnected then the first alternative of the Statement already holds. Assume instead that G is connected.

2.1step 1.1L2F1chooseassume-contra

Suppose for contradiction that G is also anticonnected. Then [L2] makes G‾ connected. Choose a vertex v∈V(G). Because G is connected and nontrivial, [F1] gives a neighbour x of v. Because G‾ is connected, [F1] also gives a vertex y nonadjacent to v. Among all pairs (a,b) with va∈E(G) and vb∉E(G), choose one for which the distance from a to b in G is minimal. Let a=u0,u1,…,um=b be a shortest a-b path in G.

3.1step 2.1algebra

Since a and b are nonadjacent, one has m≥2. A shortest path is induced, so u0u2∉E(G) and no nonconsecutive pair among u0,u1,…,um is adjacent. If some ui with 1≤i<m were adjacent to v, then (ui,b) would be another neighbour/nonneighbour pair for v whose distance is m−i<m, contradicting the choice in step 2.1. Hence vu1,vu2∉E(G).

4.1step 3.1L3discharge-contradiction

The four vertices v,u0,u1,u2 therefore induce a path: the edges are vu0, u0u1, and u1u2, while the nonedges are vu1, vu2, and u0u2. This is an induced copy of P4, contradicting [L3].

5.1step 1.1step 4.1L2∎

So a nontrivial P4-free graph cannot be both connected and anticonnected. Since step 1.1 reduced to the connected case, [L2] shows that whenever G is connected, G‾ must be disconnected.

CorollaryStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

Every P4-free graph has a clique or stable set of size at least the square root of its order

Statement

If G is a finite P4-free graph on n vertices, then G contains a clique or a stable set of size at least n.

Facts & Assumptions

Given: A finite P4-free graph G on n vertices.

[L1]

Every induced subgraph of a P4-free graph is again P4-free (H-free and F-free graphs under the induced-subgraph convention).

[L2]

Every nontrivial P4-free graph is disconnected or has disconnected complement (Every nontrivial P4-free graph is disconnected or has disconnected complement).

[L4]

Distinct connected components are anticomplete, and distinct anticomponents are complete (Distinct connected components are anticomplete, and distinct anticonnected components are complete).

[L5]

The clique number and stability number are ω(G) and α(G) (Cliques, stable sets, the clique number ω(G) and stability number α(G)).

Proof

technique · direct
1.1givenbase

We prove by induction on n the stronger statement α(G)ω(G)≥n. If n≤1, then α(G)=1 when n=1 and α(G)=ω(G)=0 when n=0, so the inequality is immediate.

2.1step 1.1L2

Assume n≥2. By [L2], either G is disconnected or G‾ is disconnected.

3.1step 2.1L1L3L4ihalgebra

Suppose first that G is disconnected. By [L3], choose a connected component C of G and let D:=V(G)∖C; then C and D are nonempty, G[C] and G[D] are induced subgraphs of G, and [L4] makes C anticomplete to D. By [L1] both induced subgraphs are P4-free, so the induction hypothesis gives α(G[C])ω(G[C])≥∣C∣ and α(G[D])ω(G[D])≥∣D∣. A stable set in G[C] together with a stable set in G[D] is still stable in G, while every clique of G lies in one side. Hence α(G)≥α(G[C])+α(G[D]) and ω(G)≥max⁡{ω(G[C]),ω(G[D])}, so α(G)ω(G)≥α(G[C])ω(G[C])+α(G[D])ω(G[D])≥∣C∣+∣D∣=n.

3.2step 2.1L1L3L4ihalgebra

Suppose instead that G‾ is disconnected. By [L3], choose an anticomponent C of G and let D:=V(G)∖C; then C and D are nonempty, the induced subgraphs G[C] and G[D] are P4-free by [L1], and [L4] makes C complete to D. The induction hypothesis again yields α(G[C])ω(G[C])≥∣C∣ and α(G[D])ω(G[D])≥∣D∣. Now a clique in G[C] together with a clique in G[D] is a clique in G, while every stable set of G lies in one side. Thus ω(G)≥ω(G[C])+ω(G[D]) and α(G)≥max⁡{α(G[C]),α(G[D])}, and again α(G)ω(G)≥∣C∣+∣D∣=n.

4.1step 3.1step 3.2L5algebradischarge-induction∎

Steps 3.1 and 3.2 prove α(G)ω(G)≥n. Since max⁡{α(G),ω(G)}2≥α(G)ω(G), one obtains max⁡{α(G),ω(G)}≥n. By [L5], this says that G has a clique or a stable set of size at least n.

TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

The strong Erdős–Hajnal property implies the Erdős–Hajnal property

Statement

Every hereditary class of finite graphs with the strong Erdős–Hajnal property also has the Erdős–Hajnal property.

Facts & Assumptions

Given: A hereditary class C of finite graphs with the strong Erdős–Hajnal property.

[L1]

The strong Erdős–Hajnal property means that some η>0 makes every graph G∈C with ∣V(G)∣≥2 contain disjoint sets A,B with ∣A∣,∣B∣≥η∣V(G)∣ and (A,B) pure (The strong Erdős–Hajnal property for a hereditary graph class).

[L2]

A hereditary class is closed under induced subgraphs (Hereditary graph classes).

[L3]

Every P4-free graph on m vertices has a clique or stable set of size at least m (Every P4-free graph has a clique or stable set of size at least the square root of its order).

[L4]

The Erdős–Hajnal property asks for a positive exponent c such that every nonempty graph in the class has a clique or stable set of size at least ∣V(G)∣c (The Erdős–Hajnal property and an Erdős–Hajnal constant for a hereditary graph class).

Proof

technique · direct
1.1L1givenchoose

If every nonempty graph in C has one vertex, then 1 is already an Erdős–Hajnal constant, so there is nothing to prove. We therefore assume that C contains some graph with at least two vertices. Let η>0 be the strong Erdős–Hajnal constant from [L1]. Applying [L1] to one nontrivial graph in C gives disjoint sets A and B with ∣A∣,∣B∣≥η∣V(G)∣, hence 2η≤1. Choose c>0 so that 2ηc=1.

2.1step 1.1given

We claim that every nonempty graph G∈C induces a P4-free subgraph on at least ∣V(G)∣c vertices. We prove this by induction on ∣V(G)∣, and the case ∣V(G)∣=1 is immediate.

3.1step 2.1L1L2choose

Let G∈C with n:=∣V(G)∣≥2, and assume the claim for smaller orders. By [L1], choose disjoint sets A,B⊆V(G) with ∣A∣,∣B∣≥ηn and (A,B) pure. By [L2], the induced subgraphs G[A] and G[B] both lie in C, so the induction hypothesis gives induced P4-free subgraphs HA⊆G[A] and HB⊆G[B] with ∣V(HA)∣≥∣A∣c and ∣V(HB)∣≥∣B∣c.

4.1step 3.1given

Let H:=G[V(HA)∪V(HB)]. The pair (V(HA),V(HB)) is still pure because it sits inside the pure pair (A,B). No induced P4 can lie entirely in one side, since HA and HB are each P4-free. A 1+3 split is impossible because the lone vertex would be complete or anticomplete to the three opposite vertices, while a vertex of P4 is neither complete nor anticomplete to the other three. A 2+2 split is impossible as well: a complete cross-pair gives four cross edges, and an anticomplete cross-pair gives none, whereas P4 has exactly three edges and is connected. Hence H is P4-free.

5.1step 3.1step 4.1L5algebra

By [L5], ∣V(H)∣=∣V(HA)∣+∣V(HB)∣≥∣A∣c+∣B∣c≥2(ηn)c=2ηcnc=nc. This closes the induction and proves the claim from step 2.1.

6.1step 5.1L3L4algebra∎

Let G be any nonempty graph in C. By step 5.1, G contains an induced P4-free subgraph H with ∣V(H)∣≥∣V(G)∣c. Then [L3] gives a clique or stable set in H of size at least ∣V(H)∣1/2≥∣V(G)∣c/2, and the same set is a clique or stable set in G. By [L4], the exponent c/2 is an Erdős–Hajnal constant for C.

TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-26Open item page →

Every H-free graph has a polynomial-size pure pair

Statement

For every finite graph H, there exists a real constant cH>0 such that every finite H-free graph G with ∣V(G)∣≥2 contains disjoint sets A,B⊆V(G) satisfying

∣A∣≥⌊∣V(G)∣cH⌋,∣B∣≥⌊∣V(G)∣cH⌋,

and such that (A,B) is a pure pair.

Facts & Assumptions

Given: A finite graph H and a finite H-free graph G with ∣V(G)∣≥2.

[F1]

The Erdős-Hajnal-Pach theorem gives a real constant δH>0 such that every finite H-free graph on at least two vertices contains disjoint sets A,B⊆V(G) with ∣A∣≥∣V(G)∣δH,∣B∣≥∣V(G)∣δH, and with A complete or anticomplete to B.

[L1]

A pair of disjoint vertex sets is pure exactly when it is complete or anticomplete (Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs).

Proof

technique · direct
1.1F1choosealgebra

By [F1], choose δH>0 and disjoint sets A,B⊆V(G) with ∣A∣≥∣V(G)∣δH,∣B∣≥∣V(G)∣δH, such that A is complete or anticomplete to B. Set cH:=δH. Then ∣A∣ and ∣B∣ are certainly at least ⌊∣V(G)∣cH⌋.

2.1step 1.1L1∎

By [L1], the pair (A,B) is pure. Therefore the constant cH has the required property.

TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-08-28Open item page →

For every k, the class forbidding Pk and Pk‾ has the strong Erdős–Hajnal property

Statement

For every integer k≥2, there exists a real constant γk>0 such that every finite graph G with no induced Pk and no induced Pk‾ and with ∣V(G)∣≥2 contains disjoint sets A,B⊆V(G) with

∣A∣≥γk∣V(G)∣,∣B∣≥γk∣V(G)∣,

and such that (A,B) is a pure pair. Equivalently, the hereditary class forbidding Pk and Pk‾ has the strong Erdős–Hajnal property.

Facts & Assumptions

Given: An integer k≥2.

[L1]

For every graph H and every ϵ∈(0,12) there exists δ>0 such that every nonempty H-free graph has a linearly large vertex set whose self-density is at most ϵ or at least 1−ϵ (The edge-density form of Rödl's theorem: every nonempty H-free graph has a linearly large set of self-density at most ϵ or at least 1−ϵ).

[L2]

If a nonempty set has self-density at most c, then it has a subset of at least half its size that is 4c-sparse (A set of self-density at most c has a subset of at least half its size that is 4c-sparse).

[L4]

A graph class has the strong Erdős–Hajnal property exactly when some linear constant works for every nontrivial graph in the class (The strong Erdős–Hajnal property for a hereditary graph class).

[F1]

A set is c-sparse exactly when every vertex of its induced subgraph has degree at most c times the set size (c-sparse, c-dense and c-restricted vertex sets).

Proof

technique · direct
1.1givenconstruct

We first prove the connected-case claim: for each r≥2 there are constants εr>0 and cr>0 such that every connected graph J on m≥2 vertices has a vertex of degree greater than εrm, or contains an induced Pr starting at every vertex, or has a biclique of size at least crm in J‾. We prove this by induction on r.

2.1step 1.1base

For r=2, choose ε2:=1/2 and c2:=1/4. Every vertex of a connected graph on at least two vertices is incident with an edge, so every vertex starts an induced P2. Thus the claim holds for r=2.

3.1step 2.1ihchoosealgebra

Fix r>2, assume the claim for r−1, and let εr:=εr−1/(2+εr−1). Since εr<1/2, choose any constant 0<cr≤min⁡{(1−2εr)/4, cr−1(1−εr)/2}. Now let J be a connected graph on m≥2 vertices for which the first outcome fails, so every vertex has degree at most εrm. Fix a vertex v1 and put S:=V(J)∖(NJ(v1)∪{v1}). Then ∣S∣≥(1−εr)m−1. Since J is connected, v1 has degree at least 1, so m≥1/εr and therefore ∣S∣≥(1−2εr)m.

4.1step 3.1L3choosealgebra

Suppose every connected component of J[S] has size at most ∣S∣/2. Choose components greedily until their union A has size in the interval [∣S∣/4,∣S∣/2]: if the running union first reaches ∣S∣/4 before it exceeds ∣S∣/2, stop there; otherwise the next component itself has size in [∣S∣/4,∣S∣/2] and we take that one alone. Let B:=S∖A. Then ∣A∣,∣B∣≥∣S∣/4, and [L3] makes A anticomplete to B in J. Hence A and B form a biclique of size at least ∣S∣/4≥crm in J‾.

4.2step 3.1ihchoosealgebra

Suppose instead that J[S] has a connected component S′ with ∣S′∣>∣S∣/2. Because J is connected, some vertex v2∈NJ(v1) has a neighbour in S′. Let J2:=J[S′∪{v2}], which is connected. Every vertex of J2 still has degree at most εrm, and εrm=εr−1(1−εr)m/2<εr−1(∣S′∣+1)=εr−1∣V(J2)∣ because ∣S′∣+1>∣S∣/2+1≥(1−εr)m/2. So the first outcome of the induction hypothesis is false for J2.

5.1step 4.2ihalgebradischarge-induction

Apply the induction hypothesis to J2 with parameter r−1. If outcome 2 holds there, then J2 contains an induced Pr−1 starting at v2, and prefixing this path with v1 gives an induced Pr in J starting at v1 because v1 is adjacent to v2 and has no neighbours in S′. If outcome 3 holds there, then J2‾ contains a biclique of size at least cr−1∣V(J2)∣≥cr−1(1−εr)m/2≥crm, and the same biclique lies in J‾. Thus, whenever outcome 1 fails for J, either outcome 2 or outcome 3 follows. This completes the induction and proves the connected-case claim.

6.1step 5.1L1choose

Let ε:=εk/8. Because Pk is the standard k-vertex path, [L1] applied to H=Pk yields a constant δ>0 such that every nonempty Pk-free graph has a vertex set of size at least δn whose self-density is at most ε or at least 1−ε.

7.1step 6.1given

Let G be a graph with no induced Pk and no induced Pk‾, and let n:=∣V(G)∣≥2. If G has a set of size at least δn and self-density at least 1−ε, apply the same argument to G‾: an induced Pk in G‾ would be an induced Pk‾ in G, and an induced Pk‾ in G‾ would be an induced Pk in G. So G‾ belongs to the same forbidden class. Replacing G by G‾ if necessary, we may assume that G has a set S0 with ∣S0∣≥δn and self-density at most ε.

8.1step 7.1L2F1algebra

By [L2], the set S0 contains a subset S with ∣S∣≥∣S0∣/2≥δn/2 such that S is 4ε-sparse. By [F1], every vertex of G[S] therefore has degree at most 4ε∣S∣=εk∣S∣/2.

9.1step 8.1L3choosealgebra

If every connected component of G[S] has size at most ∣S∣/2, then the same greedy argument as in step 4.1 partitions those components into anticomplete sets A,B⊆S with ∣A∣,∣B∣≥∣S∣/4≥δn/8. This is already a pure pair in G.

9.2step 5.1step 8.1algebra

Otherwise G[S] has a connected component S′ with ∣S′∣>∣S∣/2. Every vertex of G[S′] has degree at most εk∣S∣/2<εk∣S′∣, and G[S′] is Pk-free because induced subgraphs preserve forbidden induced paths. Applying the connected-case claim from step 5.1 to the connected graph G[S′], outcome 1 is false by the degree bound and outcome 2 is false because G[S′] contains no induced Pk at all. Hence outcome 3 holds, so G[S′]‾ has a biclique with both sides of size at least ck∣S′∣≥ckδn/4. Equivalently, G has an anticomplete pair of that size.

10.1step 9.1step 9.2L4choose∎

Let γk:=min⁡{δ/8,ckδ/4}. Steps 9.1 and 9.2 show that every graph with no induced Pk or Pk‾ and at least two vertices contains a pure pair with both sides of size at least γkn. By [L4], the class forbidding Pk and Pk‾ has the strong Erdős–Hajnal property.

CorollaryStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

For every k, the class forbidding Pk and Pk‾ has the Erdős–Hajnal property

Statement

For every integer k≥2, every finite graph with no induced Pk and no induced Pk‾ has a clique or stable set of size at least a positive power of its order. Equivalently, the class forbidding Pk and Pk‾ has the Erdős–Hajnal property.

Facts & Assumptions

Given: An integer k≥2.

[L1]

For this k, the class forbidding Pk and Pk‾ has the strong Erdős–Hajnal property (For every k, the class forbidding Pk and Pk‾ has the strong Erdős–Hajnal property).

[L2]

Every hereditary class with the strong Erdős–Hajnal property has the Erdős–Hajnal property (The strong Erdős–Hajnal property implies the Erdős–Hajnal property).

Proof

technique · direct
1.1L1

The previous theorem gives the strong Erdős–Hajnal property for the hereditary class of graphs forbidding Pk and Pk‾.

2.1step 1.1L2∎

Applying [L2] to that class yields the Erdős–Hajnal property.

DefinitionDefinition: Literature-sourcedProof: Not applicableverified 2026-09-24 (gpt-6-sol)Open item page →

Coherent graphs and support-regular blockades

Definition

A finite graph G is ϵ-coherent if ∣G∣>1, every vertex has degree less than ϵ∣G∣, and there are no disjoint anticomplete A,B⊆V(G) with ∣A∣,∣B∣≥ϵ∣G∣.

Let B=(B1,…,BK) be a blockade. A minor of B is obtained by retaining some blocks in their original order and replacing each retained block by a nonempty subset. It is equicardinal when all its blocks have the same size. A copy of an ordered graph J is B-rainbow when its vertices lie in distinct blocks, in the prescribed order. Its support is the set of block indices it uses; the trace of J is the family of all such supports.

For an integer τ≥1, B is τ-support-uniform if for every ordered tree J of at most τ vertices its trace is either empty or contains every ∣J∣-element set of block indices. For 0<κ≤1, it is (κ,τ)-support-invariant if every contraction of width at least κ times its width has exactly the same trace for every such J.

Suppose the blocks have common size W. A set X outside Bi λ-covers Bi if at least λW vertices of Bi have a neighbor in X, and λ-misses Bi if at least λW vertices of Bi have none. The blockade is λ-concave if no i<j<k and X⊆V(B)∖(Bi∪Bj∪Bk) exist such that X λ-covers Bj and λ-misses both Bi and Bk.

For integers δ≥2, η≥0, let T(δ,η) be the rooted complete δ-ary tree of height η. A rainbow rooted tree is left-rainbow if its root is in its leftmost used block; right-rainbow is defined symmetrically.

LemmaStatement: Literature-sourcedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

A long blockade has a wide support-invariant, support-uniform minor

Statement

For integers k,τ≥1 and 0<κ≤1, some integer K≥k has the following property. Every blockade B of length at least K and width W has an equicardinal minor of length k and width at least κ2KττW which is τ-support-uniform and (κ,τ)-support-invariant.

Facts & Assumptions

Given: k,τ,κ and B as in the Statement. We may discard surplus blocks and take its length to be exactly K.

[L1]

Finite uniform Ramsey guarantees, for any finite coloring of the s-subsets of a sufficiently large index set, a prescribed-size monochromatic subset (For positive k,c,r there is an N such that every c-colouring of [N]k has a monochromatic r-element set).

Proof

technique · finite trace-cost descent followed by iterated finite Ramsey
1.1L1choose

List the finitely many ordered trees on at most τ vertices. By repeated application of [L1], one tree at a time, choose K large enough that every K-block blockade has a k-block sub-blockade whose trace is monochromatic for every tree on this list. This is a backward iteration of finitely many finite Ramsey numbers; when an order has fewer than s blocks, its s-vertex trace is empty.

1.2algebra

For this K, there are at most ττ ordered-tree types on at most τ vertices: root each tree at its first ordered vertex; for size s the parent map on the other s−1 ordered positions has at most ss−1 possibilities, and ∑s=1τss−1≤ττ. Each trace has at most 2K supports. Thus the sum cτ of all trace cardinalities is an integer in [0,M], where M=2Kττ.

2.1step 1.2choose

Start by trimming all blocks to width W. Choose the largest integer t∈[0,M] for which an equicardinal contraction C of the original K-block blockade has width at least κtW and cτ(C)≤M−t. Such a t exists because t=0 works. If C were not (κ,τ)-support-invariant, some contraction of it of width at least κwidth⁡(C) would remove a support from the trace of an ordered tree of size at most τ. Trim its blocks to equal size. Trimming can only remove further supports, so the new equicardinal contraction has width at least κt+1W and cost at most M−t−1. This contradicts maximality of t. Hence C is invariant and has width at least κMW.

3.1step 1.1step 2.1

Apply the Ramsey choice of step 1.1 to C: for each ordered tree J of size s≤τ, color every s-subset of block indices by whether it belongs to its trace, and successively retain a monochromatic sub-blockade. Keep exactly k blocks. Each trace is empty or contains every s-subset, so this minor is τ-support-uniform.

4.1step 2.1step 3.1∎

Support-invariance survives taking a sub-blockade: extend any contraction of the sub-blockade to the discarded blocks unchanged; since all original blocks of C have the same size, the extended contraction retains at least the same κ fraction of its width. A copy on retained indices survives in the extended contraction if and only if it survives in the restricted one. Thus the sub-blockade is also (κ,τ)-support-invariant, equicardinal, and retains the width lower bound from step 2.1.

LemmaStatement: Literature-sourcedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

A wide concave support-regular blockade contains a rainbow rooted tree

Statement

Let δ≥2 and η≥0 be integers, put τ=δη+1, and let 0<λ≤2−9δδ−η−1. Suppose an ϵ-coherent graph G has an equicardinal blockade B=(B1,…,BK) of length K≥6δη+2 and width W≥29δϵ∣G∣. If B is λ-concave, τ-support-uniform and (2−9δ,τ)-support-invariant, then G has a B-rainbow induced copy of T(δ,η).

Facts & Assumptions

Given: All data in the Statement. Write n=∣G∣ and ρ=2−9δ. Every vertex has degree <ϵn and disjoint anticomplete sets cannot both have size ≥ϵn.

Proof

technique · maximal anchored minor and a matching of rooted trees
1.1choose

Let α and β be the greatest heights of a B-left-rainbow and a B-right-rainbow rooted complete δ-ary tree, respectively. The single vertex gives both a starting value, and settles the case η=0. Suppose η≥1 and there is no rainbow T(δ,η). Then α,β<η; reverse the blockade if needed so that α≤β. For 0≤q≤δ, define Q(q) by joining a new root to the roots of q disjoint copies of T(δ,α). Put R(q)=Q(q) for q≤δ; for q=δ+i, 1≤i≤δ, use δ−i copies of T(δ,α) and i copies of T(δ,β) instead. Let S(q), 0≤q≤δ, consist of q+1 copies of T(δ,α) with the root of the first joined to the other q roots and retained as root. Let γ3 be maximal such that a left-rainbow S(γ3) occurs. Such a copy exists at q=0. Because Q(δ)=T(δ,α+1), R(2δ)=T(δ,β+1) and S(δ) contains a rooted T(δ,α+1), none of these three extremal cases can occur.

2.1step 1.1choose

Call a minor (C1,…,Ck,CK), with Ci⊆Bi, (γ1,γ2)-anchored if some Y⊆Bk+1∪⋯∪BK−1 is anticomplete to C2,…,Ck, every v∈C1 roots a left-rainbow Q(γ1) inside Y∪{v}, and every v∈CK roots a right-rainbow R(γ2) there. The original blockade, with k=K−1, Y=∅ and γ1=γ2=0, is anchored. Choose γ0=γ1+γ2 maximal among anchored minors of length at least K−2δη+1γ0 and width at least W2−3γ0; trim its blocks equally and call their common size W′. From step 1.1, γ1,γ3<δ and γ2<2δ. Hence γ0≤3δ−2 and W′≥W2−9δ+6≥64ϵn.

3.1step 2.1givengiven

Let s=∣S(γ3)∣ and t=∣T(δ,β)∣, so s,t≤δη+1, and put h=k+1−s−t. The anchor length bound gives h≥K−2δη+1(γ0+1)≥2δη+1≥2 because K≥6δη+2 and γ0+1≤3δ−1. Put r=⌈W′−ρW⌉; then r≥63ρW≥63ϵn. Support-uniformity gives a left-rainbow S(γ3) on the consecutive blocks Bh,…,Bh+s−1 and a right-rainbow T(δ,β) on Bh+s,…,Bk. Greedily pack r pairwise vertex-disjoint copies E1,…,Er of the former in the corresponding C-blocks, and r pairwise vertex-disjoint copies F1,…,Fr of the latter. Indeed, if a maximal packing had r′<r members, removing its vertices from each used C-block would leave width W′−r′≥ρW, contradicting (ρ,τ)-support-invariance of the appropriate sub-blockade of B. The two packings use disjoint intervals of blocks.

4.1step 3.1givengiven

For D⊆C1∪CK, let a(D) count the indices i∈[r] for which D meets Ei∪Fi, and let b(D) count those for which it meets a nonroot vertex. Choose D inclusion-maximal subject to a(D)≤r/2 and b(D)≥a(D)/4. At least r/2≥ϵn roots of the Ei have no neighbor in D, so coherence implies ∣D∣<ϵn. The untouched roots in Bh and Bk also show that D λ-misses both blocks. Concavity therefore says that D does not λ-cover any of Bh+1,…,Bk−1. Every internal meeting of an Ei∪Fi uses a nonroot vertex in those interior blocks, so b(D)≤λ(s+t−2)W. Since s+t≤2δη+1, λ≤ρδ−η−1, and r≥63ρW, we get a(D)≤4b(D)≤8ρW≤8r/63≤r/2−ϵn.

5.1step 4.1givenchoose

Let Z⊆(C1∪CK)∖D be the vertices meeting at least one Ei∪Fi, and let C⊆[r] be the indices whose Ei∪Fi is anticomplete to D. Since r≥ϵn, coherence bounds the vertices of C1∪CK missing every Ei∪Fi by <ϵn; hence ∣Z∣>2W′−2ϵn. Every v∈Z meets at least one pair indexed by C: otherwise adjoining it to D leaves a unchanged and cannot decrease b, contrary to maximality. If v∈Z, the number of i∈C it meets internally is less than one quarter of the number it meets at all. Otherwise D∪{v} would satisfy the two defining inequalities of D: its new a is at most a(D)+ϵn≤r/2 (one vertex has fewer than ϵn neighbors among the disjoint rooted trees), and its new b would be at least a quarter of its new a. More directly, maximality says b(D∪{v})<a(D∪{v})/4; subtract b(D)≥a(D)/4.

6.1step 5.1algebra

Order the indices of C uniformly at random. For each v∈Z, the first pair it meets among C is met properly (at one or both roots but at no nonroot vertex) with probability >3/4 by step 5.1. On each side C1,CK, the probability that fewer than half its vertices of Z are proper-first is <1/2: otherwise the expected number of proper-first vertices on that side would be at most three quarters of its size. Thus one order makes both sides at least half proper-first. Relabel all pairs so that the chosen order of C occupies the initial segment 1,…,∣C∣, with every pair outside C placed afterward, and call the set of proper-first vertices X. Then ∣X∩C1∣≥∣Z∩C1∣/2 and likewise at CK; moreover each side has at least W′/2−ϵn vertices in X. Each v∈X has a first proper meeting index, its happiness, and one of four types (1,E),(1,F),(K,E),(K,F) according to its side and which root it meets.

7.1step 6.1givengiven

As ∣X∣>W′−ϵn≥63W′/64, one side has at least W′/4 vertices of X. Choose the first index m at which either side has at least W′/4 vertices of happiness at most m. At that side select a set U of at least W′/8 such vertices all having one of the two types there. Let Y′ be the union of vertices of Ei,Fi over i≤m. On each endpoint side fewer than W′/4 vertices of X have happiness before m, and at most 2ϵn have happiness exactly m because each of the two roots has degree <ϵn. Thus each side has at least W′/4−3ϵn>λW vertices of X anticomplete to Y′. Every Bj∩Y′, h≤j≤k, therefore λ-misses both B1 and BK. By concavity it cannot λ-cover any Bi with 2≤i<h. Consequently each Ci in this latter range has at most (s+t)λW≤2ρW≤W′/32 vertices meeting Y′, and has more than W′/8 vertices anticomplete to Y′.

8.1step 2.1step 7.1

We now enlarge the anchor with Y′. In every case choose ⌈W′/8⌉ vertices from U on its active endpoint, from the opposite endpoint anticomplete to Y′, and from each Ci with 2≤i<h anticomplete to Y′. The preceding bounds permit these choices; Y was already anticomplete to the intermediate blocks. The new minor has indices 1,…,h−1,K, length h≥K−2δη+1(γ0+1), and width at least W′/8≥W2−3(γ0+1).

9.1step 1.1step 8.1

If U has type (1,E), each v∈U joins properly to the root of an S(γ3) in Y′, which contains a rooted T(δ,α); adjoining this to the anchored Q(γ1) at v supplies a left-rainbow Q(γ1+1). The same works for type (1,F) because β≥α and Fi=T(δ,β) contains a rooted T(δ,α). Type (K,F) supplies a right-rainbow R(γ2+1): before γ2=δ it adds an α-branch, afterward a β-branch. Type (K,E) with γ2<δ likewise adds an α-branch. Each contradicts maximality of γ0 using the new anchored minor from step 8.1.

10.1step 1.1step 2.1step 9.1∎

In the only remaining case, U has type (K,E) and γ2≥δ. Pick v∈U and the Ei=S(γ3) it meets properly. The anchored R(γ2) rooted at v contains a rooted T(δ,α); join that branch at v to the root of Ei. The sets Y and Y′ are anticomplete, the meeting is proper, and all used blocks are distinct. This yields a left-rainbow S(γ3+1), contrary to maximality of γ3. Every case contradicts the assumption in step 1.1, so a rainbow T(δ,η) exists.

TheoremStatement: Literature-sourcedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

Every forest-free graph has a linear anticomplete pair or a linear-degree vertex

Statement

For every forest H, there exists a real constant ϵH>0 such that every finite H-free graph G with ∣V(G)∣≥2 satisfies at least one of the following:

  1. some vertex of G has degree at least ϵH∣V(G)∣;
  2. there exist disjoint sets A,B⊆V(G) with ∣A∣≥ϵH∣V(G)∣,∣B∣≥ϵH∣V(G)∣, and A anticomplete to B.

Facts & Assumptions

Given: A forest H and an H-free finite graph G with at least two vertices.

[L1]

Coherence, rainbow copies, support-uniformity and concavity are as in Coherent graphs and support-regular blockades.

[L2]

Every sufficiently long blockade has an equicardinal support-uniform and support-invariant minor of explicitly bounded width (A long blockade has a wide support-invariant, support-uniform minor).

[L3]

A sufficiently long, wide, concave support-regular blockade in a coherent graph contains the prescribed complete rooted tree (A wide concave support-regular blockade contains a rainbow rooted tree).

Proof

technique · induction on a rainbow-tree theorem, followed by a coherence contradiction
1.1baseih

We prove the following quantitative claim P(T) for every finite tree T: there are an integer KT≥1 and a real dT≥1 such that whenever a graph F has a blockade B of length at least KT and width W, and F is W/(dT∣F∣)-coherent, it contains a B-rainbow induced copy of T. For the one-vertex tree take KT=dT=1. Assume the claim for the tree T′=T−v obtained by deleting a leaf v from a larger tree T, and let u be the neighbor of v.

2.1step 1.1L2choose

Embed T as an induced subtree of T(δ,η) for integers δ≥2, η≥0. Set τ=δη+1, ρ=2−9δ, λ=ρδ−η−1, κ=λ/2, and r=⌈(∣T∣−1)/κ⌉. Enlarge KT′ to a multiple K′ of r satisfying K′≥6rδη+2, and put k=K′/r. Choose K from [L2] for parameters K′,τ,κ; put M=2Kττ and d=κ−Mmax⁡{dT′,29δ/r}. We claim KT=K and dT=max⁡{1,d} work.

3.1step 1.1step 2.1L2ih

Let F and B satisfy the claim's hypotheses for K,d, write n=∣F∣ and ϵ=W/(dn), and suppose there is no rainbow T. By [L2], B has an equicardinal minor B′=(B1′,…,BK′′) of width w≥κMW, which is τ-support-uniform and (κ,τ)-support-invariant. Since w≥dT′ϵn, ϵ-coherence implies w/(dT′n)-coherence. Apply P(T′) to find a rainbow copy of T′. Order its vertices by block index, call the resulting ordered tree J, write t=∣T′∣, and let the image of u be its jth vertex.

4.1step 3.1L1

No set X lying in blocks of B′ outside selected indices i1<⋯<it can κ-cover Bij′ and κ-miss every other selected block. If such X existed, contract Bij′ to vertices with a neighbor in X, each other selected block to vertices without a neighbor in X, and leave the remaining blocks unchanged. This has width at least κw. Support-invariance and support-uniformity preserve a copy of J on the selected support. A neighbor in X of its jth vertex then has no neighbor among its other vertices, giving a rainbow T, a contradiction.

5.1step 4.1algebra

Group consecutive runs of r blocks of B′ into Ch=Br(h−1)+1′∪⋯∪Brh′, 1≤h≤k. This is an equicardinal blockade C of width rw. It is λ=2κ-concave. Indeed, if X outside three selected superblocks Ch1,Ch2,Ch3 covered the middle one and missed the two outer ones at level 2κ, some constituent middle block would be κ-covered. Unless step 4.1 applied, fewer than j−1 constituent blocks of the left superblock or fewer than t−j of the right could be κ-missed. On that side fewer than t blocks have as many as w nonneighbors in X; every other constituent block has fewer than κw. Its total nonneighbors would be less than tw+(r−t)κw, while 2κ-missing the side requires at least 2κrw. Thus t(1−κ)>κr, impossible because r≥t/κ.

6.1step 2.1step 3.1step 5.1L3discharge-induction

The superblock blockade is also τ-support-uniform and (κ,τ)-support-invariant. To see this, a rainbow copy of an ordered tree on the superblocks is already rainbow on constituent blocks, and support-uniformity of B′ places it on any chosen constituent block of each selected superblock. If each selected superblock is contracted to at least κrw vertices, one constituent block retains at least κw vertices. Support-invariance of B′ then preserves the copy on those constituents. Since κ≤ρ, this also gives (ρ,τ)-support-invariance. Moreover k≥6δη+2 and rw≥rκMW≥29δϵn. Thus [L3] applies to C and gives a rainbow T(δ,η), containing a rainbow induced T. This contradicts step 3.1 and proves P(T) by induction.

7.1step 6.1L1construct

Choose a tree T containing H as an induced subgraph: join the components of H in a chain through new intermediate vertices; the case H=∅ has no nonempty H-free graph. Let KT,dT satisfy P(T), enlarge dT if needed so dT≥1, and choose 0<ϵH≤(2KTdT)−1. Every ϵH-coherent graph F has ϵH∣F∣>1: otherwise its maximum degree is zero, and two singleton anticomplete sets violate coherence. Hence ∣F∣>1/ϵH≥2KTdT. Partition off KT disjoint blocks, each of size at least ∣F∣/(2KT)≥dTϵH∣F∣. By P(T), F contains induced T, hence induced H.

8.1step 7.1discharge-contradiction∎

If the given H-free G had neither a vertex of degree at least ϵH∣G∣ nor an anticomplete pair with both sides at least ϵH∣G∣, it would be ϵH-coherent. Step 7.1 would then give an induced H, contrary to the hypothesis. Thus one of the two alternatives holds for the same constant ϵH in every H-free graph.

TheoremStatement: Literature-sourcedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

For every forest H, graphs excluding H and H‾ have a linear pure pair

Statement

For every forest H, there exists a real constant ϵH>0 such that every finite graph G with no induced H and no induced H‾ and with ∣V(G)∣≥2 contains disjoint sets A,B⊆V(G) satisfying

∣A∣≥ϵH∣V(G)∣,∣B∣≥ϵH∣V(G)∣,

and such that (A,B) is a pure pair. Equivalently, the hereditary class of graphs forbidding H and H‾ has the strong Erdős-Hajnal property.

Facts & Assumptions

Given: A forest H and a finite graph excluding both H and H‾.

[L1]

There is eH>0 such that every H-free graph on at least two vertices has an anticomplete pair with both sides at least eH times its order, or a vertex of degree at least eH times its order (Every forest-free graph has a linear anticomplete pair or a linear-degree vertex).

[L2]

For c∈(0,1/2), every nonempty H-free graph has a c-restricted set of size at least δ∣G∣ for some δ>0 depending on H,c (Rödl: for every H and every ϵ∈(0,12) there is δ>0 such that every nonempty H-free graph has an ϵ-restricted vertex set of size at least δ∣V(G)∣).

[L3]

The forbidden induced-subgraph class is hereditary (Every class defined by forbidden induced subgraphs is hereditary).

Proof

technique · apply Rödl's restricted-set theorem and the forest dichotomy
1.1L1L2choose

Choose 0<e≤eH with e<1/2 and apply [L2] with c=e/2, obtaining δ>0. Put ϵH=min⁡{eδ,δ}>0.

2.1step 1.1L2algebra

Let G exclude H,H‾ and have n≥2 vertices. By [L2] it has X with ∣X∣≥δn which is either (e/2)-sparse or (e/2)-dense. If ∣X∣=1, then δn≤1; any two distinct vertices of G are a complete or anticomplete pair of singletons, both of size at least ϵHn.

3.1step 1.1step 2.1L1

Suppose ∣X∣≥2 and X is (e/2)-sparse. The induced graph G[X] is H-free and has maximum degree at most (e/2)∣X∣<eH∣X∣. Therefore [L1] gives disjoint anticomplete A,B⊆X with ∣A∣,∣B∣≥eH∣X∣≥ϵHn.

3.2step 1.1step 2.1L1

Suppose instead ∣X∣≥2 and X is (e/2)-dense. The complement G[X]‾ is H-free because G excludes H‾, and its maximum degree is at most (e/2)∣X∣. Apply [L1] there to obtain an anticomplete pair of size at least eH∣X∣ on each side; it is a complete pair of size at least ϵHn in G.

4.1step 2.1step 3.1step 3.2L3∎

All cases give a pure pair of the required linear size. By [L3] and the definition of strong Erdős–Hajnal property, the hereditary class excluding H,H‾ has that property.

CorollaryStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)verified 2026-09-26 (gpt-6-sol)Open item page →

For every forest H, graphs excluding H and H‾ have the Erdős-Hajnal property

Statement

For every forest H, every finite graph with no induced H and no induced H‾ has a clique or a stable set of size at least a positive power of its order. Equivalently, the hereditary class forbidding H and H‾ has the Erdős-Hajnal property.

Facts & Assumptions

Given: A forest H.

[L1]

The class of graphs with no induced H and no induced H‾ has the strong Erdős-Hajnal property (For every forest H, graphs excluding H and H‾ have a linear pure pair).

[L2]

Every class defined by forbidden induced subgraphs is hereditary (Every class defined by forbidden induced subgraphs is hereditary).

[L3]

Every hereditary class with the strong Erdős-Hajnal property has the Erdős-Hajnal property (The strong Erdős–Hajnal property implies the Erdős–Hajnal property).

Proof

technique · direct
1.1L1L2

Let CH be the class of finite graphs with no induced H and no induced H‾. By [L2], this is a hereditary class, and by [L1] it has the strong Erdős-Hajnal property.

2.1step 1.1L3∎

Applying [L3] to CH gives the Erdős-Hajnal property for that class. This is the claimed graph-level statement.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

Co-leaves of a finite graph

Definition

Let G be a finite graph and let v∈V(G). We say that v is a co-leaf of G if v is a leaf of the complement graph G‾.

Equivalently, v is adjacent in G to every vertex of G except one. In degree language,

deg⁡G(v)=∣V(G)∣−2.

Thus a co-leaf is the complement-theoretic analogue of an ordinary leaf.

DefinitionDefinition: Literature-sourcedProof: Not applicableverified 2026-09-24 (gpt-6-sol)Open item page →

Quantitative divisiveness for a finite forbidden family

Definition

A finite family F of finite graphs is divisive if there are b≥4 and 0<c≤1/4 such that, for every 0<x<c and every nonempty finite graph G with n=∣V(G)∣≥x−b/2 and

ind⁡H(G)<(xbn)∣V(H)∣(H∈F),

there are a real 2≤k≤x−1 and an x-sparse blockade in G or an x-sparse blockade in G‾, of length at least k and width at least n/kb. The equivalent second alternative is a (1−x)-dense blockade in G.

The lower bound on n makes every block nonempty under the existing blockade definition. It only removes the small-order case, where a singleton already satisfies the viral conclusion once its exponent is enlarged.

LemmaStatement: Literature-sourcedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

A sparse host has many leaf extensions, few smaller copies, or a sparse pair

Statement

Let H be an ordinary finite graph with h=∣V(H)∣≥3 and leaf v, and put H′=H−v. Let a≥2 and 0<x≤y≤(2h)−1. If the maximum degree of a finite graph G on n≥1 vertices is at most yn, then at least one of the following holds:

  1. ind⁡H(G)>x2a+hnh;
  2. some S⊆V(G) has ∣S∣≥yn and ind⁡H′(G[S])≤ya−2∣S∣h−1;
  3. there are disjoint A,B⊆V(G) with ∣A∣≥yan, ∣B∣≥(1−hy)n, and B is x-sparse to A.

Facts & Assumptions

Given: The graph, leaf and parameters in the statement. Induced-copy counts count labelled induced embeddings.

[F1]

An induced embedding of H′ is an induced embedding of J:=H−{u,v}, where u is the unique neighbor of v, plus one image for u. Once the image of J and a candidate image for u are fixed, a vertex outside their image extends the embedding to H exactly when it is adjacent to the image of u and nonadjacent to the image of J. This uses only the adjacency of the leaf, so no ordering of either graph is needed.

Proof

technique · counting and contradiction
1.1givenF1

Suppose outcomes 2 and 3 fail. If yn≤1, choose a singleton S; because ∣H′∣≥2, it has no copy of H′, giving outcome 2. If yan≤1≤yn, take any vertex as A and all its nonneighbors outside A as B. Then ∣A∣≥yan and ∣B∣≥n−1−yn≥(1−hy)n, since (h−1)yn≥1; moreover B is x-sparse to A. Thus failure of both outcomes implies yan>1 and yn>1. In particular y2n≥yan>1, so yn>2.

1.2givenalgebra

Choose any set S of ⌈yn⌉ vertices. For each induced embedding ϕ:J↪G[S], let Iϕ be the embeddings of H′ into G[S] restricting to ϕ; the image of u distinguishes their members. Let T be the ϕ for which ∣Iϕ∣≥yan. Failure of outcome 2 gives ind⁡H′(G[S])>ya−2∣S∣h−1. There are at most ∣S∣h−2 maps J→S, while each ϕ∉T has fewer than yan≤ya−1∣S∣ extensions. As y≤1/2, the embeddings over T therefore number more than (ya−2−ya−1)∣S∣h−1≥ya−1∣S∣h−1. Each ϕ has at most ∣S∣ extensions, so ∣T∣>ya−1∣S∣h−2.(1)

2.1step 1.1F1algebra

Fix ϕ∈T and let P=ϕ(V(J)). Let A′ be the images of u in Iϕ, so ∣A′∣≥yan, and choose A⊆A′ of size ⌈yan⌉. Let B consist of vertices outside S with no neighbor in P. At most (h−2)yn vertices are excluded by adjacency to P, whence ∣B∣≥n−⌈yn⌉−(h−2)yn≥(1−(h−1)y)n−1.(2) Because outcome 3 fails, fewer than (1−hy)n vertices of B have at most x∣A∣ neighbors in A; otherwise those vertices, with A, would give that outcome. By (2), more than yn−1≥y2n vertices of B have more than x∣A∣ neighbors in A. The last inequality follows from y2n>1 and y≤1/2. Hence there are more than xy2n∣A∣≥xya+2n2≥xa+3n2(3) edges from B to A.

3.1step 1.2step 2.1F1algebra∎

Every edge in (3), together with ϕ, yields a distinct induced embedding of H: its endpoint in A supplies u, its endpoint in B supplies v, and the latter has no neighbor in P. Different ϕ give different embeddings because restriction to J recovers ϕ. Using (1), (3), ∣S∣≥yn, and x≤y, we get ind⁡H(G)>ya−1∣S∣h−2xa+3n2≥xa+3ya+h−3nh≥x2a+hnh. This is outcome 1.

LemmaStatement: Literature-sourcedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

A sparse host has many leaf extensions, few smaller copies, or a long sparse blockade

Statement

Let H be a finite graph on h≥3 vertices with leaf v, and put H′=H−v. Let a≥2 and 0<x≤y≤4−h. Suppose a finite graph G on n≥1 vertices has maximum degree at most y2n. Then at least one of the following holds:

  1. ind⁡H(G)>x2a+2hnh;
  2. some S⊆V(G) has ∣S∣≥y2n and ind⁡H′(G[S])≤ya−2∣S∣h−1;
  3. G has an x-sparse blockade of length at least y−1 and width at least ya+1n.

Facts & Assumptions

Given: The data in the statement.

[L1]

With parameters x≤y≤(2h)−1, the preceding leaf-extension lemma gives many H-embeddings, a set with few H′-embeddings, or a sparse pair with first side of size at least ya times the host order and second side of size at least (1−hy) times that order (A sparse host has many leaf extensions, few smaller copies, or a sparse pair). The bound 4−h≤(2h)−1 holds for h≥3.

Proof

technique · maximal sparse blockade
1.1givenalgebra

Suppose all three outcomes fail. If y2n≤1, a singleton gives outcome 2 since ∣H′∣≥2. If ya+1n≤1≤y2n, a greedy stable-set algorithm gives at least n/(1+y2n)≥(2y2)−1≥y−1 stable vertices: each selected vertex removes itself and at most y2n neighbors. Taking those vertices as singleton blocks gives outcome 3. Consequently ya+1n>1.

2.1step 1.1algebra

Among sequences (B0,…,Bk) of disjoint nonempty sets with Bi x-sparse to every earlier block, ∣Bi∣≥ya+1n for i<k, and ∣Bk∣≥(1−hy)kn, choose one with maximum k. Such a sequence exists with k=0 and B0=V(G); finiteness bounds k. Since outcome 3 fails, k<y−1. For 0≤t≤1/2, 1−t≥4−t (for example, log⁡(1−t)+tlog⁡4 is concave and nonnegative at both endpoints). As hy≤1/2, this gives ∣Bk∣≥(1−hy)kn≥4−hykn>4−hn≥yn≥xn.(1)

3.1step 2.1L1

The graph G[Bk] has maximum degree at most y2n≤y∣Bk∣ by (1). Failure of outcome 1 and (1) give ind⁡H(G[Bk])≤ind⁡H(G)≤x2a+2hnh≤x2a+h∣Bk∣h. Because ∣Bk∣>yn≥y2n, failure of outcome 2 gives ind⁡H′(G[Bk])>ya−2∣Bk∣h−1. Thus [L1] applied to G[Bk] supplies disjoint A,B⊆Bk such that ∣A∣≥ya∣Bk∣≥ya+1n, ∣B∣≥(1−hy)∣Bk∣≥(1−hy)k+1n, and B is x-sparse to A.

4.1step 2.1step 3.1∎

Replace the old final block Bk by A,B. Since every vertex of Bk was x-sparse to each earlier block, the same is true of its subsets A and B; the new last pair is sparse by step 3.1. The new sequence satisfies all the size conditions of step 2.1 with index k+1, contradicting maximality. Therefore at least one stated outcome holds.

LemmaStatement: Literature-sourcedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

Quantitatively divisive finite families are viral

Statement

Every divisive finite family of ordinary finite graphs is viral.

Facts & Assumptions

Given: A divisive finite family F, with constants b,c from Quantitative divisiveness for a finite forbidden family.

[L1]

Every cograph has a clique or stable set of size at least the square root of its order (Every P4-free graph has a clique or stable set of size at least the square root of its order).

[F1]

Replacing one vertex of a cograph by an independent set gives a cograph: an induced four-vertex path meeting a substituted independent set in at most one vertex would project to one in the original graph; if it met that set twice, its two vertices would have identical outside neighbors and could not lie in an induced P4.

Proof

technique · a maximal cograph layout and quantitative thinning
1.1given

We first prove the local-blockade assertion. Fix a finite graph Q on N vertices, 0<ϵ<1/2, and D≥1. Put x=ϵ12D. Assume that every induced subgraph F of Q with ∣F∣≥ϵ4DN has an x-sparse blockade in F or in its complement, of length at least some real k∈[2,x−1] and width at least ∣F∣/kD. We claim that some S⊆V(Q) has ∣S∣≥xD+1N,min⁡{e(Q[S]),e(Q‾[S])}≤ϵ(∣S∣2).(1) If N≤x−D−1, any singleton works, so assume N>x−D−1. In particular all block-width thresholds used below exceed one when required.

1.2F1

A layout is a cograph J with pairwise disjoint nonempty blocks (Aj:j∈V(J)) of Q; vertices outside all blocks are permitted. A pair is undecided when both ends are in one block. All other pairs are decided. A decided pair is wrong if its ends lie in distinct blocks and their adjacency differs from that of the corresponding pair in J. Choose a layout satisfying ∣Aj∣≥ϵ6DN(j∈J),∑j∈J∣Aj∣1/D≥N1/D,∣wrong∣≤x∣decided∣,(2) with ∣J∣ maximal. The one-block layout A1=V(Q) qualifies, and finiteness gives a maximum.

2.1L1step 1.2algebra

If ∣J∣≥4ϵ−2, [L1] supplies a clique or stable set I⊆V(J) of size at least 2ϵ−1. Complement Q,J together if needed, so I is stable. From each Ai, i∈I, choose the same number r=⌈ϵ6DN⌉ of vertices, and let S be their union. Edges within these equal blocks account for at most ∣I∣−1(∣S∣2). Edges between them are wrong pairs and hence at most x(N2). Since ∣S∣=∣I∣r≥2ϵ6D−1N, their share of (∣S∣2) is at most xϵ2−12D/2=ϵ2/2≤ϵ/2; the within-block share is at most ϵ/2. Also ∣S∣≥ϵ6DN≥xD+1N. This gives (1). We may therefore assume ∣J∣<4ϵ−2.

3.1step 1.2step 2.1F1algebra

Let A1 be a largest block. The power-sum condition in (2) and the bound on ∣J∣ imply ∣A1∣≥(ϵ2/4)DN≥ϵ4DN. Apply the hypothesis in step 1.1 to Q[A1], complementing Q,J if needed, to get an x-sparse blockade (B1,…,Bt) of actual integer length t≥k for some real k∈[2,x−1], with ∣Bi∣≥∣A1∣/kD. Suppose t<⌈2/ϵ⌉. Then t<2/ϵ, and k≤t gives ∣Bi∣≥∣A1∣/tD≥(ϵ/2)D∣A1∣≥ϵ2D∣A1∣≥ϵ6DN. Replace vertex 1 of J by t pairwise nonadjacent vertices whose blocks are the Bi. By [F1] the new pattern remains a cograph; also ∑i∣Bi∣1/D≥t(∣A1∣/tD)1/D=∣A1∣1/D. Old decided pairs stay decided. New wrong pairs can occur only between the Bi, and x-sparsity makes at most an x fraction of those new decided pairs wrong. Thus (2) persists while ∣J∣ increases, a contradiction. Hence t≥⌈2/ϵ⌉.

4.1step 3.1algebra

Put m=⌈2/ϵ⌉≤t and w=⌈∣A1∣/kD⌉. Independently choose uniformly a w-element subset Ci⊆Bi for each i≤m. For each pair i<j, its expected number of edges is at most xw2, because the blockade is x-sparse. Markov's inequality says that the probability of more than xm2w2/2 edges in that pair is at most 2/m2. There are fewer than m2/2 pairs, so a simultaneous choice exists with every pair below this bound. Let S=⋃i≤mCi. The within-block edge fraction is at most 1/m≤ϵ/2; the cross-block edge fraction is at most xm2≤16ϵ12D−2≤ϵ/2. Thus e(Q[S])≤ϵ(∣S∣2). Finally, ∣S∣≥w≥∣A1∣/kD≥ϵ4DxDN≥xD+1N, where the last inequality follows from 4D+12D2≤12D(D+1). This proves (1), including the case where we complemented Q.

5.1step 1.1step 4.1givenalgebra

Now use the divisiveness constants b,c. Enlarge the exponent to d≥max⁡{b,1/c,4} and decrease the parameter bound to 1/d; the defining implication persists because a smaller copy threshold and a smaller required width make it weaker. Put D=d+1 and C=12D(D+1). We claim that C is a weak viral exponent: for 0<ϵ<1/2, every graph G with ind⁡H(G)<(ϵC∣G∣)∣H∣ for all H∈F has S of size at least ϵC∣G∣ satisfying the edge bound in (1). If ∣G∣≤ϵ−C, take a singleton. Otherwise put x=ϵ12D and let F be any induced subgraph of G of size at least ϵ4D∣G∣. Since 12dD+4D<C, xd∣F∣≥ϵ12dD+4D∣G∣>ϵC∣G∣. The copy bounds transfer to F. Moreover ∣F∣>ϵ4D−C≥x−d/2, and x<1/d≤c. Divisiveness gives an x-sparse blockade in F or its complement of width at least ∣F∣/kd≥∣F∣/kD for some k∈[2,x−1]. Thus every such F satisfies the hypothesis of step 1.1 with Q=G and exponent D. Its conclusion has size xD+1∣G∣=ϵC∣G∣, proving the weak claim.

6.1step 5.1algebra∎

Set E=4C. If G satisfies the viral copy bounds at ϵE, then it satisfies the weak copy bounds at (ϵ/4)C, because ϵ4C≤(ϵ/4)C for ϵ<1/2. Step 5.1, with parameter ϵ/4, gives T with ∣T∣≥(ϵ/4)C∣G∣ and, in G[T] or its complement, at most (ϵ/4)(∣T∣2) edges. The mean degree there is less than ϵ∣T∣/4, so fewer than half the vertices have degree greater than ϵ∣T∣/2. Keep the other vertices as S. Then ∣S∣≥∣T∣/2, and every vertex of S has at most ϵ∣T∣/2≤ϵ∣S∣ neighbors in the chosen graph on S. Also ∣S∣≥(ϵ/4)C∣G∣/2≥ϵ4C∣G∣ because C≥1 and ϵ≤1/2. Thus S is ϵ-restricted and has the required viral size.

TheoremStatement: Literature-sourcedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

Deleting a leaf and a co-leaf preserves virality of a finite forbidden family

Statement

Let F be a finite family of finite graphs. Let H1∈F have a leaf v, and let H2∈F have a co-leaf w. Write H1′=H1−v and H2′=H2−w. If

F1={H1′}∪(F∖{H1}),F2={H2′}∪(F∖{H2})

are both viral, then F is viral.

Facts & Assumptions

Given: The family, chosen graphs and vertices, and viral modified families in the statement.

[L1]

A co-leaf of H2 is a leaf of H2‾ (Co-leaves of a finite graph). Complementation preserves labelled induced embedding counts: ind⁡H2(G)=ind⁡H2‾(G‾), and the same holds after deleting w.

[L2]

For each fixed graph H and 0<η<1/2, Nikiforov's theorem gives δ>0 such that fewer than (δ∣G∣)∣H∣ induced H-embeddings force an η-restricted set of size at least δ∣G∣ (Nikiforov: for every H and every ϵ∈(0,12) there is δ>0 such that every graph G with ind⁡H(G)<(δ∣V(G)∣)∣V(H)∣ has an ϵ-restricted vertex set of size at least δ∣V(G)∣).

[L3]

The leaf-extension blockade lemma supplies its three quantitative outcomes for ordinary graphs with a leaf (A sparse host has many leaf extensions, few smaller copies, or a long sparse blockade). Applying it in G‾ to the leaf of H2‾ gives the corresponding dense-blockade alternative in G.

Proof

technique · iterative sparsification and a divisive blockade
1.1givenL1

If ∣H1∣≤2 or ∣H2∣≤2, the chosen graph has two vertices: a leaf or co-leaf cannot occur on fewer. Every graph on two vertices has the Erdős-Hajnal property by the at-most-three-vertex theorem, so its singleton family is viral by the single-graph equivalence. The same viral exponent works for F: the few-copy premise for F includes the premise for that singleton. Hence assume both orders are at least three. Put h=max⁡{∣H1∣,∣H2∣,4},c=4−h.

1.2L2givenalgebra

Apply [L2] to H1 with η=c2, obtaining δ>0; shrink δ to at most 1 if necessary. Choose a common viral exponent d≥4 for F1,F2 large enough that cd≤δ. Define a=2d2h,b=a+6d+1. For any 0<x<c, if every member of F has fewer than (xb∣G∣)∣H∣ copies in G, then [L2] supplies a c2-restricted set of size at least δ∣G∣≥cd∣G∣, because xb<cb≤cd≤δ.

1.3

We establish a one-step assertion. Let 0<x≤y≤c, and let Q be a y2-restricted graph on q vertices. Then at least one of these happens:

  • some H∈F has more than (xb−4dq)∣H∣ copies in Q;
  • for i=1 or 2, some S⊆V(Q) has ∣S∣≥y2q and ind⁡Hi′(Q[S])<(y2d2∣S∣)∣Hi′∣;
  • Q has an x-sparse or (1−x)-dense blockade of length at least y−1 and width at least ya+1q.

If Q has maximum degree at most y2q, apply [L3] to H1 in Q. Its first outcome is stronger than the first here because 2a+2∣H1∣≤(b−4d)∣H1∣; its second is stronger than the second here because a−2>2d2(∣H1∣−1) and y<1; and its third is the sparse blockade above. If Q‾ has maximum degree at most y2q, apply [L3] to H2‾ in Q‾ and translate the counts and blockade back using [L1]. Since Q is restricted, one of these cases applies. [L1, L3, step 1.2, algebra]

2.1step 1.2L2

We prove that (b,c) witnesses divisiveness. Fix 0<x<c and a nonempty graph G on n≥x−b/2 vertices satisfying the defining few-copy bounds for F. Suppose it has no blockade required by divisiveness. Let m≥2 be the least integer with cdm−1≤x. We construct nested sets V(G)=S0⊇S1⊇⋯⊇Sm such that, for 1≤i≤m, ∣Si∣≥c3di∣Si−1∣,G[Si] is c2di−1-restricted.(1) For i=1, step 1.2 gives a c2-restricted set of size at least cdn≥c3dn.

3.1step 1.3step 2.1algebra

Suppose (1) is constructed through Si with 1≤i<m, and put y=cdi−1. Minimality of m gives x<cdm−2≤y; also y≤c. Summing the geometric exponents in (1), with d≥4, gives ∣Si∣≥c3(d+⋯+di)n≥c4din=y4dn≥x4dn.(2) Consequently every H∈F has fewer than (xb−4d∣Si∣)∣H∣ copies in G[Si], because it has fewer than (xbn)∣H∣ copies in G. Apply step 1.3 to Q=G[Si]. Its first outcome is impossible. Its blockade outcome would have length at least y−1∈[2,x−1] and width at least ya+1∣Si∣≥ya+4d+1n≥ybn because b=a+6d+1; it would be the forbidden divisive blockade. Thus its second outcome supplies S⊆Si of size ∣S∣≥y2∣Si∣ with few Hj′ copies for some j∈{1,2}.

4.1step 1.2step 3.1algebra

Since (2) gives ∣S∣≥y4d+2n≥y5dn, we have y2d2∣S∣≥y2d2+5dn≥xbn. The final inequality uses x≤y<1 and b=a+6d+1≥2d2+5d. Thus every unchanged member of Fj has fewer than (y2d2∣S∣)∣H∣ copies; the replaced member Hj′ has the same strict bound by step 3.1. Apply virality of Fj with parameter y2d to obtain Si+1⊆S that is y2d=c2di-restricted and has ∣Si+1∣≥y2d2∣S∣≥y2d2+2∣Si∣≥c3di+1∣Si∣. The last inequality follows from 2d2+2≤3d2. This completes the induction.

5.1step 2.1step 4.1L4algebra∎

At the final stage, cdm−1≤x, so G[Sm] is x2-restricted. The geometric sum in (1), together with the minimality inequality x<cdm−2, yields ∣Sm∣≥c4dmn≥x4d2n≥x−1,(3) where the last step uses n≥x−b/2 and b≥8d2+2. Put k=⌈x−1/2⌉ and r=⌊2x∣Sm∣⌋. As x<c≤1/16, one has 2≤k≤x−1, kr≤4x1/2∣Sm∣≤∣Sm∣, and r≥x∣Sm∣≥1. Choose k disjoint r-element subsets of Sm. If G[Sm] is sparse, they form an x-sparse blockade: each later vertex has at most x2∣Sm∣≤xr neighbors in an earlier block. If G‾[Sm] is sparse, they form the dense alternative. Finally r≥x∣Sm∣≥x4d2+1n≥n/kb, since k≥x−1/2 and b≥8d2+2. This contradicts step 2.1. Hence F is divisive, and [L4] makes it viral.

Source notes

The source's ordered Theorem 6.1 has one leaf and one leaf in the complement; its overbars matter. The proof above applies the two leaf counting lemmas directly to ordinary induced embeddings. Their counting and blockade arguments do not require order, while complementing the second graph and host handles the dense case.

TheoremStatement: AI-adaptedProof: AI-generatedverified 2026-09-24 (gpt-6-sol)Open item page →

Deleting a leaf and a complementary leaf preserves virality

Statement

Let F be a finite family of finite graphs, and let H1,H2∈F. Suppose v1 is a leaf of H1 and v2 is a leaf of H2‾. Put Hi′=Hi−vi for i=1,2. If

F1:={H1′}∪(F∖{H1}),F2:={H2′}∪(F∖{H2})

are viral, then F is viral.

Facts & Assumptions

Given: The family and vertices in the statement.

[L1]

A leaf of H2‾ is a co-leaf of H2 (Co-leaves of a finite graph).

[L2]

The finite-family leaf/co-leaf theorem proves virality from exactly these two modified-family hypotheses (Deleting a leaf and a co-leaf preserves virality of a finite forbidden family).

Proof

technique · direct
1.1givenL1L2

By [L1], v2 is a co-leaf of H2. The modified families of [L2] for leaf v1 and co-leaf v2 are precisely F1 and F2.

2.1givenstep 1.1L2∎

Both modified families are viral by hypothesis. Applying [L2] therefore gives virality of F.

Source notes

The earlier version required two ordinary leaves. The cited Theorem 7.8 requires a leaf in H1 and a leaf in H2‾; the bar on H2 is essential. The old two-leaf claim is superseded, not used.

CorollaryStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)verified 2026-09-26 (gpt-6-sol)Open item page →

Deleting a leaf and a co-leaf preserves the Erdős-Hajnal property of a finite forbidden family

Statement

Let F be a finite family of finite graphs. Let H1∈F have a leaf v, and let H2∈F have a co-leaf w. Write H1′:=H1∖{v} and H2′:=H2∖{w}. If

F1:={H1′}∪(F∖{H1})

and

F2:={H2′}∪(F∖{H2})

have the Erdős-Hajnal property, then F has the Erdős-Hajnal property.

Facts & Assumptions

Given: A finite family F of finite graphs, a member H1∈F with leaf v, and a member H2∈F with co-leaf w.

[L1]

If the two modified families are viral, then F is viral (Deleting a leaf and a co-leaf preserves virality of a finite forbidden family).

[L2]

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

Proof

technique · direct
1.1L2

By [L2], the hypothesis that F1 and F2 have the Erdős-Hajnal property implies that both families are viral.

2.1step 1.1L1

Applying [L1] gives that F is viral.

3.1step 2.1L2∎

A second application of [L2] turns virality of F back into the Erdős-Hajnal property.

5 · Examples, counterexamples and false statements

None yet.

Sources