Alphabeta Math
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  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
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✓ 14 results · all verified · 3 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 11 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Cographs, Perfect Patterns and Pure Pairs

1 · Prerequisites

2 · Summary

This page packages the cograph recursion with the perfect-graph and κ(G)=α(G)ω(G) formulations that the later Erdos-Hajnal pages use. The cograph half stays elementary: it proves hereditary closure, the P4 characterization, and the induced-P4 obstruction for prime graphs without reopening the deferred strong-module quotient machinery.

The second half moves from cographs to perfect pattern graphs and pure blockades. Perfect graphs give the square-root homogeneous-set bound, which turns a perfect pattern into a large complete or anticomplete subblockade. The final items record the τ-critical and blockade vocabulary used by the later star-expansion arguments.

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 complete connection of two disjoint graphs

Definition

Let G=(V,E) and H=(W,F) be finite simple graphs with V∩W=∅. The complete connection of G and H is the graph

G∇H:=(V∪W, E∪F∪{{v,w}:v∈V, w∈W}).

Thus G∇H contains G and H on their own vertex sets and adds every possible edge between the two sides. When X⊆V and Y⊆W, the induced subgraph on X∪Y is exactly G[X]∇H[Y] (Subgraphs, induced subgraphs and spanning subgraphs).

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

Cographs by the singleton, disjoint-union, and complete-connection recursion

Definition

The class of cographs is defined recursively as follows.

  1. The null graph is a cograph.
  2. Every one-vertex graph is a cograph.
  3. If G and H are vertex-disjoint cographs, then their disjoint union is a cograph.
  4. If G and H are vertex-disjoint cographs, then their complete connection G∇H is a cograph.
  5. No graph is a cograph unless it is obtained from the previous clauses by finitely many applications.

Equivalently, a finite graph is a cograph exactly when it is null or can be built from singletons by repeatedly taking disjoint unions and complete connections. In particular, every cograph with at least two vertices has a last construction step in which it is obtained from two nonempty smaller cographs by one of those two operations.

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

Every induced subgraph of a cograph is a cograph

Statement

If G is a cograph and X⊆V(G), then the induced subgraph G[X] is also a cograph.

Facts & Assumptions

Given: A cograph G and a subset X⊆V(G).

[L1]

A cograph is either null or is built from one-vertex graphs by finitely many disjoint unions and complete connections, and every cograph with at least two vertices has a last step of one of those two kinds (Cographs by the singleton, disjoint-union, and complete-connection recursion).

[L2]

If G1=(V1,E1) and G2=(V2,E2) are vertex-disjoint, then for every X⊆V1∪V2 the induced subgraph of their disjoint union on X is the disjoint union of G1[X∩V1] and G2[X∩V2], while the induced subgraph of G1∇G2 on X is G1[X∩V1]∇G2[X∩V2] (The complete connection of two disjoint graphs, Subgraphs, induced subgraphs and spanning subgraphs).

Proof

technique · induction on a cograph construction of $G$
1.1givenL1base

We argue by induction on the recursive definition of cographs. If G is the null graph or a one-vertex graph, then G[X] is again the null graph or a one-vertex graph, so it is a cograph by [L1].

1.2L1ih

Assume now that G is nontrivial, and that the claim is already known for the two smaller cographs in the last construction step of G. By [L1], there exist vertex-disjoint smaller cographs G1 and G2 such that G is either their disjoint union or their complete connection. Put Xi:=X∩V(Gi) for i=1,2. The induction hypothesis gives that Gi[Xi] is a cograph for i=1,2.

2.1step 1.2L2

If G is the disjoint union of G1 and G2, then [L2] gives G[X]=G1[X1]⊔G2[X2], a disjoint union of cographs. If G is G1∇G2, then [L2] gives G[X]=G1[X1]∇G2[X2], a complete connection of cographs. In either case the recursive definition shows that G[X] is a cograph.

3.1step 1.1step 2.1discharge-induction∎

Steps 1.1 and 2.1 complete the induction, so every induced subgraph of a cograph is a cograph.

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

Every nontrivial cograph is disconnected or has disconnected complement

Statement

Let G be a cograph with at least two vertices. Then G is disconnected or G‾ is disconnected.

Facts & Assumptions

Given: A cograph G with ∣V(G)∣≥2.

[L1]

Every nontrivial cograph is obtained from two nonempty smaller cographs by one final disjoint-union step or one final complete-connection step (Cographs by the singleton, disjoint-union, and complete-connection recursion).

[L2]

The disjoint union of two nonempty graphs is disconnected (Connected graphs and connected components defined by the existence of vertex paths).

[L3]

If G1 and G2 are vertex-disjoint, then the complement of G1∇G2 is the disjoint union of G1‾ and G2‾ (The complete connection of two disjoint graphs, Graph isomorphisms, automorphisms and graph complements).

Proof

technique · direct
1.1L1given

By [L1], there exist nonempty smaller cographs G1 and G2 such that G is either the disjoint union of G1 and G2, or the complete connection G1∇G2.

2.1step 1.1L2

In the disjoint-union case, [L2] immediately shows that G is disconnected.

2.2step 1.1L2L3

In the complete-connection case, [L3] shows that G‾=G1‾⊔G2‾. Both sides are nonempty because G1 and G2 are nonempty, so G‾ is disconnected by [L2].

3.1step 2.1step 2.2∎

Therefore one of the two stated alternatives always holds: either G is disconnected, or G‾ is disconnected.

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

The cographs are exactly the P_4-free graphs

Statement

A finite graph is a cograph if and only if it is P4-free.

Facts & Assumptions

Given: A finite graph G.

[L1]

Every induced subgraph of a cograph is a cograph (Every induced subgraph of a cograph is a cograph).

[L2]

Every nontrivial cograph is disconnected or has disconnected complement (Every nontrivial cograph is disconnected or has disconnected complement).

[L3]

The four-vertex path P4 has vertices 0,1,2,3 and edges 01,12,23, and its complement has edges 02,03,13. Hence both P4 and P4‾ are connected (Empty and complete graphs, complete bipartite graphs, and the convention that Pn and Cn have n vertices, Connected graphs and connected components defined by the existence of vertex paths, Graph isomorphisms, automorphisms and graph complements).

[L4]

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

[F2]

Every induced subgraph of a P4-free graph is again P4-free, because an induced copy inside an induced subgraph is also an induced copy in the whole graph (H-free and F-free graphs under the induced-subgraph convention, Subgraphs, induced subgraphs and spanning subgraphs).

Proof

technique · induction on the order of a $P_4$-free graph
1.1L1L2L3F1

Suppose first that G is a cograph. If G had an induced copy of P4 on some vertex set X, then [L1] would make G[X] a cograph. But G[X] is isomorphic to P4, and [L3] shows that both P4 and its complement are connected, contradicting [L2]. Therefore every cograph is P4-free.

1.2F1base

For the converse, we prove by induction on n:=∣V(G)∣ that every P4-free graph on n vertices is a cograph. If n≤1, then G is the null graph or a one-vertex graph, and the recursive definition makes it a cograph.

2.1step 1.2L4ih

Assume now that n≥2 and that every smaller P4-free graph is a cograph. Because G is P4-free, [L4] gives that G is disconnected or G‾ is disconnected.

3.1step 2.1L5F2ihchoose

If G is disconnected, choose a connected component C of G and let D:=V(G)∖C. Then C and D are nonempty, [L5] makes them anticomplete, and [F2] makes both G[C] and G[D] smaller P4-free graphs. By the induction hypothesis they are cographs, so G is their disjoint union and hence a cograph.

3.2step 2.1L5F2ihchoose

If G‾ is disconnected, choose an anticomponent C of G and let D:=V(G)∖C. Again C and D are nonempty, [L5] makes them complete to one another, and [F2] makes G[C] and G[D] smaller P4-free graphs. By the induction hypothesis they are cographs, so G is their complete connection and hence a cograph.

4.1step 1.1step 3.1step 3.2discharge-induction∎

Steps 3.1 and 3.2 close the induction, proving that every P4-free graph is a cograph. Together with step 1.1, this proves the equivalence.

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

Every prime graph on at least four vertices contains an induced P_4

Statement

If G is a prime graph with at least four vertices, then G contains an induced copy of P4.

Facts & Assumptions

Given: A prime graph G with ∣V(G)∣≥4.

[L2]

A graph is a cograph if and only if it is P4-free (The cographs are exactly the P_4-free graphs).

[L3]

Every nontrivial cograph is disconnected or has disconnected complement (Every nontrivial cograph is disconnected or has disconnected complement).

[L4]

Every union of connected components is a module, and so is every union of anticomponents (Every union of connected components is a module, and so is every union of anticonnected components).

[F1]

If a partition of a set with at least four elements has at least two nonempty parts, then some proper union of its parts has cardinality between 2 and ∣V(G)∣−1: either one part already has at least two elements, or else all parts are singletons and the union of two of them does.

Proof

technique · direct
1.1L2L3givenassume-contra

Suppose for contradiction that G contains no induced P4. Then [L2] shows that G is a cograph. Since ∣V(G)∣≥4, the graph is nontrivial, so [L3] gives that G is disconnected or G‾ is disconnected.

2.1step 1.1L1L4F1discharge-contradiction

If G is disconnected, its connected components form a partition of V(G) into at least two nonempty parts. By [F1], choose a proper union M of component vertex sets with 2≤∣M∣≤∣V(G)∣−1. Then [L4] makes M a module of G, and the cardinality bounds say that it is nontrivial. This contradicts [L1].

2.2step 1.1L1L4F1discharge-contradiction

If G‾ is disconnected, then the anticomponents of G form a partition of V(G) into at least two nonempty parts. Again [F1] gives a proper union M of anticomponent vertex sets with 2≤∣M∣≤∣V(G)∣−1, and [L4] makes M a nontrivial module of G, contradicting [L1].

3.1step 2.1step 2.2∎

Both alternatives from step 1.1 are impossible, so the assumption was false. Therefore G contains an induced copy of P4.

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

Perfect graphs

Definition

A finite graph G is perfect when every induced subgraph H of G satisfies

χ(H)=ω(H),

where χ(H) is the chromatic number and ω(H) is the clique number (Proper vertex colourings and chromatic number, Cliques, stable sets, the clique number ω(G) and stability number α(G), Subgraphs, induced subgraphs and spanning subgraphs).

Under the library conventions, the null graph is perfect because its unique induced subgraph is itself and χ(K0)=ω(K0)=0.

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

The parameter kappa(G)=alpha(G)omega(G)

Definition

For a finite graph G, define

κ(G):=α(G)ω(G),

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

In particular, κ(K0)=0 because both factors vanish on the null graph.

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-08-28Open item page →

A disjoint union of two perfect graphs is perfect

Statement

If G and H are perfect graphs on disjoint vertex sets, then their disjoint union is perfect.

Facts & Assumptions

Given: Perfect graphs G=(VG,EG) and H=(VH,EH) with VG∩VH=∅.

[L1]

A graph is perfect exactly when every induced subgraph has equal clique number and chromatic number (Perfect graphs).

[L2]

If X⊆VG∪VH and XG:=X∩VG, XH:=X∩VH, then the induced subgraph of the disjoint union on X is the disjoint union of G[XG] and H[XH] (Subgraphs, induced subgraphs and spanning subgraphs).

[L3]

In a disjoint union, every clique lies in one side, while optimal colourings of the two sides may reuse the same palette; therefore ω(G⊔H)=max⁡{ω(G),ω(H)} and χ(G⊔H)=max⁡{χ(G),χ(H)} (Cliques, stable sets, the clique number ω(G) and stability number α(G), Proper vertex colourings and chromatic number).

Proof

technique · direct
1.1L1given

Let X⊆VG∪VH, and write XG:=X∩VG and XH:=X∩VH. Since G and H are perfect, [L1] gives χ(G[XG])=ω(G[XG]) and χ(H[XH])=ω(H[XH]).

2.1step 1.1L2L3

By [L2], the induced subgraph of G⊔H on X is G[XG]⊔H[XH]. Applying [L3] to that disjoint union and then using step 1.1 yields χ((G⊔H)[X])=max⁡{χ(G[XG]),χ(H[XH])}=max⁡{ω(G[XG]),ω(H[XH])}=ω((G⊔H)[X]).

3.1step 2.1L1∎

Step 2.1 proves χ(K)=ω(K) for every induced subgraph K=(G⊔H)[X], so the disjoint union G⊔H is perfect by [L1].

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-08-28Open item page →

A complete connection of two perfect graphs is perfect

Statement

If G and H are perfect graphs on disjoint vertex sets, then their complete connection G∇H is perfect.

Facts & Assumptions

Given: Perfect graphs G=(VG,EG) and H=(VH,EH) with VG∩VH=∅.

[L1]

A graph is perfect exactly when every induced subgraph has equal clique number and chromatic number (Perfect graphs).

[L2]

If X⊆VG∪VH and XG:=X∩VG, XH:=X∩VH, then the induced subgraph of G∇H on X is G[XG]∇H[XH] (The complete connection of two disjoint graphs, Subgraphs, induced subgraphs and spanning subgraphs).

[L3]

In a complete connection, every clique is the union of a clique from each side, while every stable set lies entirely in one side; therefore ω(G∇H)=ω(G)+ω(H) and χ(G∇H)=χ(G)+χ(H) (Cliques, stable sets, the clique number ω(G) and stability number α(G), Proper vertex colourings and chromatic number).

Proof

technique · direct
1.1L1given

Let X⊆VG∪VH, and write XG:=X∩VG and XH:=X∩VH. Because G and H are perfect, [L1] gives χ(G[XG])=ω(G[XG]) and χ(H[XH])=ω(H[XH]).

2.1step 1.1L2L3

By [L2], the induced subgraph of G∇H on X is G[XG]∇H[XH]. Applying [L3] to that complete connection and then using step 1.1 yields χ((G∇H)[X])=χ(G[XG])+χ(H[XH])=ω(G[XG])+ω(H[XH])=ω((G∇H)[X]).

3.1step 2.1L1∎

Step 2.1 proves χ(K)=ω(K) for every induced subgraph K=(G∇H)[X], so G∇H is perfect by [L1].

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

Every cograph is perfect

Statement

Every cograph is perfect.

Facts & Assumptions

Given: A cograph G.

[L1]

A cograph is either null or is built from one-vertex graphs by finitely many disjoint unions and complete connections, and every cograph with at least two vertices has a final step of one of those two kinds (Cographs by the singleton, disjoint-union, and complete-connection recursion).

[L2]

A disjoint union of two perfect graphs is perfect (A disjoint union of two perfect graphs is perfect).

[L3]

A complete connection of two perfect graphs is perfect (A complete connection of two perfect graphs is perfect).

[F1]

The null graph and every one-vertex graph are perfect (Perfect graphs).

Proof

technique · induction on a cograph construction of $G$
1.1givenF1base

We argue by induction on the recursive definition of cographs. If G is the null graph or a one-vertex graph, then [F1] shows that G is perfect.

1.2L1ih

Assume now that G is nontrivial and that the claim is already known for the two smaller cographs in its final construction step. By [L1], there exist smaller cographs G1 and G2 such that G is either G1⊔G2 or G1∇G2. The induction hypothesis makes both G1 and G2 perfect.

2.1step 1.2L2L3

In the disjoint-union case, [L2] shows that G is perfect. In the complete-connection case, [L3] shows that G is perfect.

3.1step 1.1step 2.1discharge-induction∎

Steps 1.1 and 2.1 close the induction. Therefore every cograph is perfect.

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

Every perfect graph satisfies |V(G)|<=kappa(G)

Statement

If G is a perfect graph, then

∣V(G)∣≤κ(G).

Facts & Assumptions

Given: A perfect graph G.

[L1]

Perfect graphs satisfy χ(G)=ω(G) (Perfect graphs).

[L2]

Every finite graph satisfies ∣V(G)∣≤χ(G)α(G) (The bounds ω(G)≤χ(G) and ∣V(G)∣≤χ(G)α(G)).

Proof

technique · direct
1.1L1L2

Combining [L1] and [L2] gives ∣V(G)∣≤χ(G)α(G)=ω(G)α(G).

2.1step 1.1L3∎

The right-hand side of step 1.1 is κ(G) by [L3]. Therefore ∣V(G)∣≤κ(G).

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

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

Statement

If G is a perfect graph on n vertices, then G has a clique or a stable set of size at least n.

Facts & Assumptions

Given: A perfect graph G on n vertices.

[L1]

Perfect graphs satisfy ∣V(G)∣≤κ(G) (Every perfect graph satisfies |V(G)|<=kappa(G)).

Proof

technique · direct
1.1L2given

Let h:=hom⁡(G)=max⁡{α(G),ω(G)}. Then α(G)≤h and ω(G)≤h, so [L2] gives κ(G)=α(G)ω(G)≤h2.

2.1step 1.1L1L2

Since n=∣V(G)∣, [L1] and step 1.1 yield n≤h2. Therefore h≥n. If h=ω(G), G has a clique of size at least n; if h=α(G), it has a stable set of that size.

3.1step 2.1∎

Hence every perfect graph on n vertices has a clique or stable set of size at least n.

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

The perfect-induced-subgraph formulation of the Erdos-Hajnal conjecture

The survey literature repeatedly reformulates the Erdos-Hajnal conjecture as a claim about large perfect induced subgraphs. Concretely, for a family H of finite graphs one may ask whether every nonempty H-free graph contains an induced subgraph that is perfect and whose order is bounded below by a positive power of the ambient order (Perfect graphs, H-free and F-free graphs under the induced-subgraph convention, Subgraphs, induced subgraphs and spanning subgraphs).

The next theorem proves that this perfect-graph formulation is equivalent to the usual homogeneous-set formulation from The Erdős–Hajnal property and an Erdős–Hajnal constant for a hereditary graph class, and also to the cograph and κ(G) formulations used in the later blockade arguments.

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

The Erdos-Hajnal property is equivalent to the large-cograph, large-perfect, and kappa formulations

Statement

Let H be a finite family of finite graphs. The following are equivalent.

  1. H has the Erdos-Hajnal property.
  2. There exists τ>0 such that every nonempty H-free graph contains an induced cograph with at least ∣V(G)∣τ vertices.
  3. There exists τ>0 such that every nonempty H-free graph contains an induced perfect graph with at least ∣V(G)∣τ vertices.
  4. There exists τ>0 such that every nonempty H-free graph satisfies κ(G)≥∣V(G)∣τ.

Facts & Assumptions

Given: A finite family H of finite graphs.

[L2]

Every cograph is perfect (Every cograph is perfect).

[L3]

Every perfect graph J has a clique or stable set of size at least ∣V(J)∣1/2 (Every perfect graph has a clique or stable set of size at least the square root of its order).

[L4]

For positive reals, (ab)r=arbr and (ar)s=ars (The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents).

[L5]

On positive reals, the map x↦x1/2 is increasing, because 1/2 is a positive rational and the real power at exponent 1/2 agrees with the rational power (Monotonicity of r↦ar and of a↦ar, The exponential definition of real powers agrees with the existing rational powers).

[F1]

If S⊆V(G) is homogeneous, then G[S] is a cograph: when S is a clique, build G[S] by repeatedly taking complete connections of singletons; when S is a stable set, build it by repeatedly taking disjoint unions of singletons (Cographs by the singleton, disjoint-union, and complete-connection recursion, Homogeneous vertex sets and the homogeneous number hom⁡(G)=max⁡{ω(G),α(G)}, Cliques, stable sets, the clique number ω(G) and stability number α(G)).

[F2]

If J is an induced subgraph of G, then every clique or stable set in J is also a clique or stable set in G (Subgraphs, induced subgraphs and spanning subgraphs, Cliques, stable sets, the clique number ω(G) and stability number α(G)).

[F3]

For every nonempty graph G, hom⁡(G)≤κ(G)≤hom⁡(G)2 because α(G),ω(G)≥1 and both are at most hom⁡(G) (The parameter kappa(G)=alpha(G)omega(G), Homogeneous vertex sets and the homogeneous number hom⁡(G)=max⁡{ω(G),α(G)}, Cliques, stable sets, the clique number ω(G) and stability number α(G)).

Proof

technique · direct equivalence cycle with exponent rescaling
1.1L1F1choose

Assume clause 1. By [L1], choose τ>0 such that every nonempty H-free graph G satisfies hom⁡(G)≥∣V(G)∣τ. For such a graph, choose a homogeneous set S with ∣S∣=hom⁡(G). Then [F1] shows that G[S] is a cograph on at least ∣V(G)∣τ vertices. Hence clause 2 holds with the same exponent τ.

1.2L2

Assume clause 2 with exponent τ>0. Every cograph is perfect by [L2], so the same induced subgraph witnesses clause 3 with the same exponent.

1.3L3L4L5F2choose

Assume clause 3 with exponent τ>0, and let G be a nonempty H-free graph. Choose an induced perfect subgraph J of G with ∣V(J)∣≥∣V(G)∣τ. By [L3], the graph J has a clique or stable set of size at least ∣V(J)∣1/2. Since ∣V(J)∣≥∣V(G)∣τ>0, [L5] gives ∣V(J)∣1/2≥(∣V(G)∣τ)1/2=∣V(G)∣τ/2, where the equality is [L4]. Then [F2] turns that clique or stable set into one in G. Therefore clause 1 holds, with exponent τ/2.

1.4L1F3L4L5

For a nonempty graph G, [F3] gives hom⁡(G)≤κ(G)≤hom⁡(G)2. Therefore clause 1 implies clause 4 with the same exponent. Conversely, if clause 4 holds with exponent τ, then hom⁡(G)2≥κ(G)≥∣V(G)∣τ>0, so [L5] gives hom⁡(G)≥(∣V(G)∣τ)1/2=∣V(G)∣τ/2. Hence clause 4 implies clause 1.

2.1step 1.1step 1.2step 1.3

The implications in steps 1.1, 1.2, and 1.3 prove 1⇒2⇒3⇒1.

3.1step 2.1step 1.4∎

Step 2.1 gives the forward implication chain from clause 1 to clause 3 and back, while step 1.4 proves the equivalence of clauses 1 and 4. Therefore all four formulations are equivalent.

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

A pure blockade with a perfect pattern has a large complete or anticomplete subblockade

Statement

Let B=(B1,…,Bt) be a pure blockade whose pattern graph is perfect. Then B has a complete or anticomplete subblockade of length at least t and of width at least the width of B.

Facts & Assumptions

Given: A pure blockade B=(B1,…,Bt) with perfect pattern graph P(B).

[L1]

In the pattern graph, two indices are adjacent exactly when the corresponding two blocks are complete to one another (The pattern graph of a pure blockade).

[L2]

Every perfect graph on t vertices has a clique or stable set of size at least t (Every perfect graph has a clique or stable set of size at least the square root of its order).

[L3]

A complete subblockade is one whose block pairs are all complete, and an anticomplete subblockade is defined similarly (Complete, anticomplete, pure, weakly sparse, and x-sparse blockades).

[L4]

The width of a blockade is the minimum size of one of its blocks, so discarding blocks cannot decrease the width bound inherited from the remaining blocks (Blockades, their length, their width, and their support).

Proof

technique · direct
1.1L2givenchoose

Applying [L2] to the perfect pattern graph P(B), choose a set I⊆[t] with ∣I∣≥t that is either a clique or a stable set in P(B).

2.1step 1.1L1L3L4

If I is a clique, then [L1] says that every two blocks indexed by I are complete to one another, so (Bi:i∈I) is a complete subblockade in the sense of [L3]. If I is a stable set, then no two indices in I are adjacent in the pattern graph, so every two corresponding blocks are anticomplete and (Bi:i∈I) is an anticomplete subblockade. In either case the width is at least that of B by [L4].

3.1step 2.1∎

Therefore B has a complete or anticomplete subblockade of length at least t and width at least the original width.

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

A tau-critical graph

Definition

Let τ>0. A finite graph G is τ-critical when the two conditions below hold.

  1. κ(G)<∣V(G)∣τ.
  2. Every proper induced subgraph H of G satisfies κ(H)≥∣V(H)∣τ.

Here κ is that of The parameter kappa(G)=alpha(G)omega(G), induced subgraphs are those of Subgraphs, induced subgraphs and spanning subgraphs, and the real power ∣V(G)∣τ is that of Real powers for positive bases, with the zero-base positive-exponent convention. The first clause forces every τ-critical graph to be nonempty, because it would read 0<0τ=0 on the null graph.

PropositionStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-08-28Open item page →

A minimal counterexample to a kappa-bound is tau-critical

Statement

Let H be a family of finite graphs, let τ>0, and let G be an H-free graph with κ(G)<∣V(G)∣τ. If G has the fewest vertices among all H-free graphs with that strict inequality, then G is τ-critical.

Facts & Assumptions

Given: A family H of finite graphs, a real τ>0, and an H-free graph G that is minimal by order among those satisfying κ(G)<∣V(G)∣τ.

[L1]

A graph is τ-critical exactly when it satisfies the strict inequality κ(G)<∣V(G)∣τ and every proper induced subgraph H satisfies κ(H)≥∣V(H)∣τ (A tau-critical graph).

Proof

technique · direct
1.1L1given

The first clause of [L1] already holds for G by the hypothesis κ(G)<∣V(G)∣τ.

1.2L2given

Let H be a proper induced subgraph of G. Then [L2] makes H H-free, and ∣V(H)∣<∣V(G)∣. By the minimality of G, the graph H cannot satisfy κ(H)<∣V(H)∣τ. Hence κ(H)≥∣V(H)∣τ.

2.1step 1.1step 1.2L1∎

Steps 1.1 and 1.2 are exactly the two clauses in [L1], so G is τ-critical.

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

A pure blockade with a cograph pattern has additive kappa

Statement

Let B=(B1,…,Bt) be a pure blockade in a graph G whose pattern graph is a cograph. Then

κ(G[V(B)])≥∑i=1tκ(G[Bi]).

Facts & Assumptions

Given: A pure blockade B=(B1,…,Bt) in a graph G, with pattern graph P a cograph.

[L1]

Every induced subgraph of a cograph is a cograph (Every induced subgraph of a cograph is a cograph).

[L2]

Every nontrivial cograph is disconnected or has disconnected complement (Every nontrivial cograph is disconnected or has disconnected complement).

[L3]

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

[L4]

In the pattern graph, two indices are adjacent exactly when the corresponding two blocks are complete (The pattern graph of a pure blockade).

Proof

technique · induction on the number $t$ of blocks
1.1givenbase

We argue by induction on t. If t=1, then V(B)=B1, so κ(G[V(B)])=κ(G[B1]), and the claim is immediate.

1.2L2chooseih

Assume now that t>1 and that the theorem is known for shorter pure blockades with cograph pattern. By [L2], the cograph P is disconnected or its complement is disconnected. Choose either a connected component I of P in the first case, or an anticomponent I of P in the second case, and let J:=[t]∖I. Then I and J are nonempty. Put U:=⋃i∈IBi,W:=⋃j∈JBj,V:=U∪W=V(B).

2.1step 1.2L1L3L4

The induced pattern subgraphs P[I] and P[J] are cographs by [L1]. If I is a component, then [L3] and [L4] make U anticomplete to W; if I is an anticomponent, then [L3] and [L4] make U complete to W.

3.1step 1.2step 2.1ih

Applying the induction hypothesis to the subblockades indexed by I and J gives κ(G[U])≥∑i∈Iκ(G[Bi]),κ(G[W])≥∑j∈Jκ(G[Bj]).

3.2step 2.1L5

If U is anticomplete to W, then a stable set in G[U] together with a stable set in G[W] is stable in G[V], while every clique in G[V] lies in one side. Thus α(G[V])≥α(G[U])+α(G[W]),ω(G[V])≥max⁡{ω(G[U]),ω(G[W])}, and [L5] yields κ(G[V])≥κ(G[U])+κ(G[W]). If U is complete to W, the same reasoning with cliques and stable sets exchanged again gives κ(G[V])≥κ(G[U])+κ(G[W]).

4.1step 1.1step 3.1step 3.2discharge-induction∎

Combining steps 3.1 and 3.2 gives κ(G[V(B)])=κ(G[V])≥∑i=1tκ(G[Bi]). Together with step 1.1, this closes the induction.

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

A tau-critical graph has no wide pure blockade with cograph pattern

Statement

Let τ>0, and let G be a τ-critical graph. Then for every integer t>0, there is no pure blockade in G with cograph pattern, of length t and width at least ∣V(G)∣t−1/τ, such that each block is a proper subset of V(G).

Facts & Assumptions

Given: A real τ>0, a τ-critical graph G, and an integer t>0.

[L1]

A τ-critical graph satisfies κ(G)<∣V(G)∣τ, while every proper induced subgraph H satisfies κ(H)≥∣V(H)∣τ (A tau-critical graph).

[L2]

A pure blockade with cograph pattern has additive κ on its support (A pure blockade with a cograph pattern has additive kappa).

[L3]

If X⊆V(G), then every clique or stable set in G[X] is also one in G, so κ(G)≥κ(G[X]) (Subgraphs, induced subgraphs and spanning subgraphs, The parameter kappa(G)=alpha(G)omega(G), Cliques, stable sets, the clique number ω(G) and stability number α(G)).

[L4]

For positive reals, (ab)r=arbr and (ar)s=ars (The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents).

[F1]

If a blockade has width w, then each of its blocks has cardinality at least w (Blockades, their length, their width, and their support).

Proof

technique · contradiction
1.1L1L4L5F1givenassume-contra

Suppose for contradiction that B=(B1,…,Bt) is a pure blockade in G with cograph pattern, length t, width at least ∣V(G)∣t−1/τ, and each Bi a proper subset of V(G). By [L1], each proper induced subgraph G[Bi] satisfies κ(G[Bi])≥∣Bi∣τ. Since each block has size at least the width, [F1] gives ∣Bi∣≥∣V(G)∣t−1/τ>0, so [L5] and [L4] yield κ(G[Bi])≥∣Bi∣τ≥(∣V(G)∣t−1/τ)τ=∣V(G)∣τt−1 for every i.

2.1step 1.1L1L2L3

Let X:=V(B)=B1∪⋯∪Bt. Applying [L2] to the blockade and then using step 1.1 yields κ(G[X])≥∑i=1tκ(G[Bi])≥∑i=1t∣V(G)∣τt−1=∣V(G)∣τ. Then [L3] gives κ(G)≥∣V(G)∣τ, contradicting the first clause of [L1].

3.1step 2.1discharge-contradiction∎

This contradiction proves that no such blockade exists.

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

A blockade-rainbow induced copy

Definition

Let G be a graph and let B=(B1,…,Bt) be a blockade in G. An induced subgraph H of G is B-rainbow when

V(H)⊆V(B)and∣Bi∩V(H)∣≤1for every i∈[t].

Equivalently, H lies inside the support of the blockade and each block contributes at most one vertex to it (Blockades, their length, their width, and their support, Subgraphs, induced subgraphs and spanning subgraphs).

We say that a graph F has a B-rainbow induced copy in G when G contains an induced copy of F whose image is B-rainbow (Induced embeddings and induced copies of a graph).

5 · Examples, counterexamples and false statements

None yet.

Sources