How statement and proof provenance work
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- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Cographs, Perfect Patterns and Pure Pairs
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- Blockades, Combs and Pattern Graphs
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Graph Colouring
- Graphs, Walks and Connectivity
- Induced Subgraphs and Hereditary Graph Classes
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Metric Spaces
- Modules, Substitution and Prime Graphs
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Pure Pairs, Forests and Path–Antipath Classes
- Regular Pairs and Induced Counting
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sparse Restricted Subgraphs and the Rödl–Nikiforov Theorems
- Suprema and Infima
- The Derivative and the Mean Value Theorems
- The Erdős–Hajnal Property and Homogeneous Sets
- The Exponential Function
- The Logarithm and General Powers
- The Riemann Integral: Definition and Integrability
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This page packages the cograph recursion with the perfect-graph and formulations that the later Erdos-Hajnal pages use. The cograph half stays elementary: it proves hereditary closure, the characterization, and the induced- 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 -critical and blockade vocabulary used by the later star-expansion arguments.
3 · Logical flowchart
4 · Definitions, theorems and proofs
The complete connection of two disjoint graphs
Definition
Let and be finite simple graphs with . The complete connection of and is the graph
Thus contains and on their own vertex sets and adds every possible edge between the two sides. When and , the induced subgraph on is exactly (Subgraphs, induced subgraphs and spanning subgraphs).
Cographs by the singleton, disjoint-union, and complete-connection recursion
Definition
The class of cographs is defined recursively as follows.
- The null graph is a cograph.
- Every one-vertex graph is a cograph.
- If and are vertex-disjoint cographs, then their disjoint union is a cograph.
- If and are vertex-disjoint cographs, then their complete connection is a cograph.
- 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.
Every induced subgraph of a cograph is a cograph
Statement
If is a cograph and , then the induced subgraph is also a cograph.
Facts & Assumptions
Given: A cograph and a subset .
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).
If and are vertex-disjoint, then for every the induced subgraph of their disjoint union on is the disjoint union of and , while the induced subgraph of on is (The complete connection of two disjoint graphs, Subgraphs, induced subgraphs and spanning subgraphs).
Proof
We argue by induction on the recursive definition of cographs. If is the null graph or a one-vertex graph, then is again the null graph or a one-vertex graph, so it is a cograph by [L1].
Assume now that is nontrivial, and that the claim is already known for the two smaller cographs in the last construction step of . By [L1], there exist vertex-disjoint smaller cographs and such that is either their disjoint union or their complete connection. Put for . The induction hypothesis gives that is a cograph for .
If is the disjoint union of and , then [L2] gives , a disjoint union of cographs. If is , then [L2] gives , a complete connection of cographs. In either case the recursive definition shows that is a cograph.
Steps 1.1 and 2.1 complete the induction, so every induced subgraph of a cograph is a cograph.
Every nontrivial cograph is disconnected or has disconnected complement
Statement
Let be a cograph with at least two vertices. Then is disconnected or is disconnected.
Facts & Assumptions
Given: A cograph with .
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).
The disjoint union of two nonempty graphs is disconnected (Connected graphs and connected components defined by the existence of vertex paths).
If and are vertex-disjoint, then the complement of is the disjoint union of and (The complete connection of two disjoint graphs, Graph isomorphisms, automorphisms and graph complements).
Proof
By [L1], there exist nonempty smaller cographs and such that is either the disjoint union of and , or the complete connection .
In the disjoint-union case, [L2] immediately shows that is disconnected.
In the complete-connection case, [L3] shows that . Both sides are nonempty because and are nonempty, so is disconnected by [L2].
Therefore one of the two stated alternatives always holds: either is disconnected, or is disconnected.
The cographs are exactly the P_4-free graphs
Statement
A finite graph is a cograph if and only if it is -free.
Facts & Assumptions
Given: A finite graph .
Every induced subgraph of a cograph is a cograph (Every induced subgraph of a cograph is a cograph).
Every nontrivial cograph is disconnected or has disconnected complement (Every nontrivial cograph is disconnected or has disconnected complement).
The four-vertex path has vertices and edges , and its complement has edges . Hence both and are connected (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices, Connected graphs and connected components defined by the existence of vertex paths, Graph isomorphisms, automorphisms and graph complements).
Every nontrivial -free graph is disconnected or its complement is disconnected (Every nontrivial -free graph is disconnected or has disconnected complement).
Connected components partition the vertex set, anticomponents do too, distinct components are anticomplete, and distinct anticomponents are complete (The connected components of a graph partition its vertex set and are its maximal connected subgraphs, The anticonnected components of are exactly the connected components of , Distinct connected components are anticomplete, and distinct anticonnected components are complete).
A graph is -free when it contains no induced copy of the path (-free and -free graphs under the induced-subgraph convention, Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
Every induced subgraph of a -free graph is again -free, because an induced copy inside an induced subgraph is also an induced copy in the whole graph (-free and -free graphs under the induced-subgraph convention, Subgraphs, induced subgraphs and spanning subgraphs).
Proof
Suppose first that is a cograph. If had an induced copy of on some vertex set , then [L1] would make a cograph. But is isomorphic to , and [L3] shows that both and its complement are connected, contradicting [L2]. Therefore every cograph is -free.
For the converse, we prove by induction on that every -free graph on vertices is a cograph. If , then is the null graph or a one-vertex graph, and the recursive definition makes it a cograph.
Assume now that and that every smaller -free graph is a cograph. Because is -free, [L4] gives that is disconnected or is disconnected.
If is disconnected, choose a connected component of and let . Then and are nonempty, [L5] makes them anticomplete, and [F2] makes both and smaller -free graphs. By the induction hypothesis they are cographs, so is their disjoint union and hence a cograph.
If is disconnected, choose an anticomponent of and let . Again and are nonempty, [L5] makes them complete to one another, and [F2] makes and smaller -free graphs. By the induction hypothesis they are cographs, so is their complete connection and hence a cograph.
Steps 3.1 and 3.2 close the induction, proving that every -free graph is a cograph. Together with step 1.1, this proves the equivalence.
Every prime graph on at least four vertices contains an induced P_4
Statement
If is a prime graph with at least four vertices, then contains an induced copy of .
Facts & Assumptions
Given: A prime graph with .
A prime graph has no nontrivial module (Prime graphs: those whose only modules are the trivial ones, Modules of a graph, and the trivial modules).
A graph is a cograph if and only if it is -free (The cographs are exactly the P_4-free graphs).
Every nontrivial cograph is disconnected or has disconnected complement (Every nontrivial cograph is disconnected or has disconnected complement).
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).
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 and : either one part already has at least two elements, or else all parts are singletons and the union of two of them does.
Proof
Suppose for contradiction that contains no induced . Then [L2] shows that is a cograph. Since , the graph is nontrivial, so [L3] gives that is disconnected or is disconnected.
If is disconnected, its connected components form a partition of into at least two nonempty parts. By [F1], choose a proper union of component vertex sets with . Then [L4] makes a module of , and the cardinality bounds say that it is nontrivial. This contradicts [L1].
If is disconnected, then the anticomponents of form a partition of into at least two nonempty parts. Again [F1] gives a proper union of anticomponent vertex sets with , and [L4] makes a nontrivial module of , contradicting [L1].
Both alternatives from step 1.1 are impossible, so the assumption was false. Therefore contains an induced copy of .
Perfect graphs
Definition
A finite graph is perfect when every induced subgraph of satisfies
where is the chromatic number and is the clique number (Proper vertex colourings and chromatic number, Cliques, stable sets, the clique number and stability number , Subgraphs, induced subgraphs and spanning subgraphs).
Under the library conventions, the null graph is perfect because its unique induced subgraph is itself and .
The parameter kappa(G)=alpha(G)omega(G)
Definition
For a finite graph , define
where and are the stability number and clique number of (Cliques, stable sets, the clique number and stability number ).
In particular, because both factors vanish on the null graph.
A disjoint union of two perfect graphs is perfect
Statement
If and are perfect graphs on disjoint vertex sets, then their disjoint union is perfect.
Facts & Assumptions
Given: Perfect graphs and with .
A graph is perfect exactly when every induced subgraph has equal clique number and chromatic number (Perfect graphs).
If and , , then the induced subgraph of the disjoint union on is the disjoint union of and (Subgraphs, induced subgraphs and spanning subgraphs).
In a disjoint union, every clique lies in one side, while optimal colourings of the two sides may reuse the same palette; therefore and (Cliques, stable sets, the clique number and stability number , Proper vertex colourings and chromatic number).
Proof
Let , and write and . Since and are perfect, [L1] gives and .
By [L2], the induced subgraph of on is . Applying [L3] to that disjoint union and then using step 1.1 yields
Step 2.1 proves for every induced subgraph , so the disjoint union is perfect by [L1].
A complete connection of two perfect graphs is perfect
Statement
If and are perfect graphs on disjoint vertex sets, then their complete connection is perfect.
Facts & Assumptions
Given: Perfect graphs and with .
A graph is perfect exactly when every induced subgraph has equal clique number and chromatic number (Perfect graphs).
If and , , then the induced subgraph of on is (The complete connection of two disjoint graphs, Subgraphs, induced subgraphs and spanning subgraphs).
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 and (Cliques, stable sets, the clique number and stability number , Proper vertex colourings and chromatic number).
Proof
Let , and write and . Because and are perfect, [L1] gives and .
By [L2], the induced subgraph of on is . Applying [L3] to that complete connection and then using step 1.1 yields
Step 2.1 proves for every induced subgraph , so is perfect by [L1].
Every cograph is perfect
Statement
Every cograph is perfect.
Facts & Assumptions
Given: A cograph .
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).
A disjoint union of two perfect graphs is perfect (A disjoint union of two perfect graphs is perfect).
A complete connection of two perfect graphs is perfect (A complete connection of two perfect graphs is perfect).
The null graph and every one-vertex graph are perfect (Perfect graphs).
Proof
We argue by induction on the recursive definition of cographs. If is the null graph or a one-vertex graph, then [F1] shows that is perfect.
Assume now that 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 and such that is either or . The induction hypothesis makes both and perfect.
In the disjoint-union case, [L2] shows that is perfect. In the complete-connection case, [L3] shows that is perfect.
Steps 1.1 and 2.1 close the induction. Therefore every cograph is perfect.
Every perfect graph satisfies |V(G)|<=kappa(G)
Statement
If is a perfect graph, then
Facts & Assumptions
Given: A perfect graph .
Perfect graphs satisfy (Perfect graphs).
Every finite graph satisfies (The bounds and ).
Proof
Combining [L1] and [L2] gives
The right-hand side of step 1.1 is by [L3]. Therefore .
Every perfect graph has a clique or stable set of size at least the square root of its order
Statement
If is a perfect graph on vertices, then has a clique or a stable set of size at least .
Facts & Assumptions
Given: A perfect graph on vertices.
Perfect graphs satisfy (Every perfect graph satisfies |V(G)|<=kappa(G)).
Proof
Let . Then and , so [L2] gives
Since , [L1] and step 1.1 yield . Therefore . If , has a clique of size at least ; if , it has a stable set of that size.
Hence every perfect graph on vertices has a clique or stable set of size at least .
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 of finite graphs one may ask whether every nonempty -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, -free and -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 formulations used in the later blockade arguments.
The Erdos-Hajnal property is equivalent to the large-cograph, large-perfect, and kappa formulations
Statement
Let be a finite family of finite graphs. The following are equivalent.
- has the Erdos-Hajnal property.
- There exists such that every nonempty -free graph contains an induced cograph with at least vertices.
- There exists such that every nonempty -free graph contains an induced perfect graph with at least vertices.
- There exists such that every nonempty -free graph satisfies .
Facts & Assumptions
Given: A finite family of finite graphs.
Clause 1 means exactly that some makes every nonempty -free graph satisfy (The Erdős–Hajnal property and an Erdős–Hajnal constant for a hereditary graph class, Homogeneous vertex sets and the homogeneous number , -free and -free graphs under the induced-subgraph convention).
Every cograph is perfect (Every cograph is perfect).
Every perfect graph has a clique or stable set of size at least (Every perfect graph has a clique or stable set of size at least the square root of its order).
For positive reals, and (The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents).
On positive reals, the map is increasing, because is a positive rational and the real power at exponent agrees with the rational power (Monotonicity of and of , The exponential definition of real powers agrees with the existing rational powers).
If is homogeneous, then is a cograph: when is a clique, build by repeatedly taking complete connections of singletons; when 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 , Cliques, stable sets, the clique number and stability number ).
If is an induced subgraph of , then every clique or stable set in is also a clique or stable set in (Subgraphs, induced subgraphs and spanning subgraphs, Cliques, stable sets, the clique number and stability number ).
For every nonempty graph , because and both are at most (The parameter kappa(G)=alpha(G)omega(G), Homogeneous vertex sets and the homogeneous number , Cliques, stable sets, the clique number and stability number ).
Proof
Assume clause 1. By [L1], choose such that every nonempty -free graph satisfies . For such a graph, choose a homogeneous set with . Then [F1] shows that is a cograph on at least vertices. Hence clause 2 holds with the same exponent .
Assume clause 2 with exponent . Every cograph is perfect by [L2], so the same induced subgraph witnesses clause 3 with the same exponent.
Assume clause 3 with exponent , and let be a nonempty -free graph. Choose an induced perfect subgraph of with . By [L3], the graph has a clique or stable set of size at least . Since , [L5] gives , where the equality is [L4]. Then [F2] turns that clique or stable set into one in . Therefore clause 1 holds, with exponent .
For a nonempty graph , [F3] gives . Therefore clause 1 implies clause 4 with the same exponent. Conversely, if clause 4 holds with exponent , then , so [L5] gives . Hence clause 4 implies clause 1.
The implications in steps 1.1, 1.2, and 1.3 prove .
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.
A pure blockade with a perfect pattern has a large complete or anticomplete subblockade
Statement
Let be a pure blockade whose pattern graph is perfect. Then has a complete or anticomplete subblockade of length at least and of width at least the width of .
Facts & Assumptions
Given: A pure blockade with perfect pattern graph .
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).
Every perfect graph on vertices has a clique or stable set of size at least (Every perfect graph has a clique or stable set of size at least the square root of its order).
A complete subblockade is one whose block pairs are all complete, and an anticomplete subblockade is defined similarly (Complete, anticomplete, pure, weakly sparse, and -sparse blockades).
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
Applying [L2] to the perfect pattern graph , choose a set with that is either a clique or a stable set in .
If is a clique, then [L1] says that every two blocks indexed by are complete to one another, so is a complete subblockade in the sense of [L3]. If is a stable set, then no two indices in are adjacent in the pattern graph, so every two corresponding blocks are anticomplete and is an anticomplete subblockade. In either case the width is at least that of by [L4].
Therefore has a complete or anticomplete subblockade of length at least and width at least the original width.
A tau-critical graph
Definition
Let . A finite graph is -critical when the two conditions below hold.
- .
- Every proper induced subgraph of satisfies .
Here 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 is that of Real powers for positive bases, with the zero-base positive-exponent convention. The first clause forces every -critical graph to be nonempty, because it would read on the null graph.
A minimal counterexample to a kappa-bound is tau-critical
Statement
Let be a family of finite graphs, let , and let be an -free graph with . If has the fewest vertices among all -free graphs with that strict inequality, then is -critical.
Facts & Assumptions
Given: A family of finite graphs, a real , and an -free graph that is minimal by order among those satisfying .
A graph is -critical exactly when it satisfies the strict inequality and every proper induced subgraph satisfies (A tau-critical graph).
Every induced subgraph of an -free graph is again -free (-free and -free graphs under the induced-subgraph convention, Subgraphs, induced subgraphs and spanning subgraphs).
Proof
The first clause of [L1] already holds for by the hypothesis .
Let be a proper induced subgraph of . Then [L2] makes -free, and . By the minimality of , the graph cannot satisfy . Hence .
Steps 1.1 and 1.2 are exactly the two clauses in [L1], so is -critical.
A pure blockade with a cograph pattern has additive kappa
Statement
Let be a pure blockade in a graph whose pattern graph is a cograph. Then
Facts & Assumptions
Given: A pure blockade in a graph , with pattern graph a cograph.
Every induced subgraph of a cograph is a cograph (Every induced subgraph of a cograph is a cograph).
Every nontrivial cograph is disconnected or has disconnected complement (Every nontrivial cograph is disconnected or has disconnected complement).
Distinct connected components are anticomplete, and distinct anticomponents are complete (Distinct connected components are anticomplete, and distinct anticonnected components are complete).
In the pattern graph, two indices are adjacent exactly when the corresponding two blocks are complete (The pattern graph of a pure blockade).
for every induced subgraph (The parameter kappa(G)=alpha(G)omega(G), Cliques, stable sets, the clique number and stability number ).
Proof
We argue by induction on . If , then , so and the claim is immediate.
Assume now that and that the theorem is known for shorter pure blockades with cograph pattern. By [L2], the cograph is disconnected or its complement is disconnected. Choose either a connected component of in the first case, or an anticomponent of in the second case, and let . Then and are nonempty. Put
The induced pattern subgraphs and are cographs by [L1]. If is a component, then [L3] and [L4] make anticomplete to ; if is an anticomponent, then [L3] and [L4] make complete to .
Applying the induction hypothesis to the subblockades indexed by and gives
If is anticomplete to , then a stable set in together with a stable set in is stable in , while every clique in lies in one side. Thus and [L5] yields . If is complete to , the same reasoning with cliques and stable sets exchanged again gives .
Combining steps 3.1 and 3.2 gives Together with step 1.1, this closes the induction.
A tau-critical graph has no wide pure blockade with cograph pattern
Statement
Let , and let be a -critical graph. Then for every integer , there is no pure blockade in with cograph pattern, of length and width at least , such that each block is a proper subset of .
Facts & Assumptions
Given: A real , a -critical graph , and an integer .
A -critical graph satisfies , while every proper induced subgraph satisfies (A tau-critical graph).
A pure blockade with cograph pattern has additive on its support (A pure blockade with a cograph pattern has additive kappa).
If , then every clique or stable set in is also one in , so (Subgraphs, induced subgraphs and spanning subgraphs, The parameter kappa(G)=alpha(G)omega(G), Cliques, stable sets, the clique number and stability number ).
For positive reals, and (The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents).
Because , the function is increasing on : its derivative is , the factor is positive for because real powers are defined through and is positive, and the derivative-sign theorem then gives monotonicity (Continuity and derivatives of positive-base real powers, Real powers for positive bases, with the zero-base positive-exponent convention, The exponential is positive and satisfies , On an interval , for continuous on and differentiable at every interior point: throughout gives nondecreasing, gives increasing, and give the two decreasing forms; conversely a nondecreasing has and a nonincreasing has wherever it is differentiable, and no strict converse is claimed).
If a blockade has width , then each of its blocks has cardinality at least (Blockades, their length, their width, and their support).
Proof
Suppose for contradiction that is a pure blockade in with cograph pattern, length , width at least , and each a proper subset of . By [L1], each proper induced subgraph satisfies . Since each block has size at least the width, [F1] gives , so [L5] and [L4] yield for every .
Let . Applying [L2] to the blockade and then using step 1.1 yields Then [L3] gives , contradicting the first clause of [L1].
This contradiction proves that no such blockade exists.
A blockade-rainbow induced copy
Definition
Let be a graph and let be a blockade in . An induced subgraph of is -rainbow when
Equivalently, 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 has a -rainbow induced copy in when contains an induced copy of whose image is -rainbow (Induced embeddings and induced copies of a graph).
5 · Examples, counterexamples and false statements
None yet.
Sources
- Tero Harju, Lecture Notes on Combinatorial Structures in Graph Theory, Exercise 5.2
- Tero Harju, Lecture Notes on Combinatorial Structures in Graph Theory, Section 5.3
- Tero Harju, Lecture Notes on Combinatorial Structures in Graph Theory, Exercise 5.3
- Maria Chudnovsky, The Erdos-Hajnal Conjecture - A Survey, Theorem 2.1
- Tero Harju, Lecture Notes on Combinatorial Structures in Graph Theory, Theorem 5.1 and Section 5.2
- Maria Chudnovsky, The Erdos-Hajnal Conjecture - A Survey, Introduction
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdos-Hajnal for graphs with no 5-hole, Introduction
- Maria Chudnovsky, The Erdos-Hajnal Conjecture - A Survey, Theorem 1.3
- Maria Chudnovsky, The Erdos-Hajnal Conjecture - A Survey, Conjecture 1.2 and the surrounding discussion
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdos-Hajnal for graphs with no 5-hole, Section 5
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdos-Hajnal for graphs with no 5-hole, before Theorem 3.1
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdos-Hajnal for graphs with no 5-hole, Theorem 5.1
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdos-Hajnal for graphs with no 5-hole, Theorem 5.2
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdos-Hajnal for graphs with no 5-hole, Section 6