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The Five-Cycle and the Erdős-Hajnal Property
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- Blockades, Combs and Pattern Graphs
- Cographs, Perfect Patterns and Pure Pairs
- 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
- Finite Probability Spaces and Random Variables
- Foundations of the Real Numbers for Analysis
- Graph Colouring
- Graphs, Walks and Connectivity
- Inclusion–Exclusion, the Pigeonhole Principle and Double Counting
- Induced Subgraphs and Hereditary Graph Classes
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Metric Spaces
- 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
- Regular Pairs and Induced Counting
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- 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 follows the direct Section 4 route for rather than the later star-expansion route. It first isolates the bipartite comb estimate and the tau-critical comb extraction theorem needed to make the source proof self-contained, then closes the contradiction by showing that any cross-edge between comb blocks would already create an induced five-cycle.
The last two items keep the source's preferred formulation visible. The polynomial -bound is proved first, and the Erdős-Hajnal property is then recovered from the already-published equivalence between the , perfect-subgraph, cograph, and homogeneous-set formulations.
3 · Logical flowchart
4 · Definitions, theorems and proofs
A bipartite layer is small unless a large comb already appears
Statement
Let be a finite graph with a bipartition , let , let , and let be an integer. Suppose that and distinct vertices satisfy:
- every vertex of has at most neighbours in ; and
- for each , at least vertices of are adjacent to and to none of .
Let be the set of vertices adjacent to at least one of . Then at least one of the following holds:
- for some integer , there is a -comb in whose teeth lie in and whose blocks lie in ;
Facts & Assumptions
Given: A bipartite graph , parameters and , an integer , a set , distinct vertices , and the two hypotheses in the Statement.
A -comb in consists of distinct teeth in and pairwise disjoint blocks in , each tooth complete to its own block and anticomplete to all other blocks (Combs in a graph).
Proof
For each , let be the set of vertices in adjacent to and to none of . By the second hypothesis, , and the sets are pairwise disjoint. Let be the set of vertices in adjacent to . Since every vertex of has at most neighbours in , we have .
Declare the vertices good backwards as follows: is good when at most vertices of are adjacent to a good vertex among . Let be the set of good indices, and let . For every bad index , at least vertices of lie in . Since the are disjoint and each has size at most , it follows that , so .
If , then for each let . We have . If are both in , then is disjoint from and every vertex of avoids , so no vertex of is adjacent to ; similarly no vertex of is adjacent to . Therefore is a -comb in by [L1].
If and , then step 3.1 already gives the first alternative. Hence we may assume either or . In the second case, . When , step 2.1 gives , so then . In either remaining case, .
Since every has at most neighbours in , the set of all vertices of adjacent to one of the satisfies . This is the second alternative.
A bipartite graph with bounded A-degree has a large comb or a small B-side
Statement
Let be a finite graph with a bipartition such that every vertex of has a neighbour in . Let and let . Suppose every vertex of has at most neighbours in . Then at least one of the following holds:
- for some integer , there is a -comb in ;
Facts & Assumptions
Given: A bipartite graph , parameters and , every vertex of has a neighbour in , and every vertex of has at most neighbours in .
Under the layer hypotheses of the previous lemma, either a -comb already appears or the current layer has size at most (A bipartite layer is small unless a large comb already appears).
If , then (For , , and for the series diverges).
Proof
Define pairwise disjoint sets inductively. Set , and after defining let . Choose distinct vertices with maximal such that for each there are at least vertices of adjacent to and to none of . Let be the set of vertices of adjacent to one of . By maximality of , every vertex of has at most neighbours in . Inducting on shows that every vertex of has at most neighbours in .
Every vertex of belongs to some layer . Indeed, if some survived in every , choose a neighbour of . Then has at least one neighbour in each , contradicting step 1.1 for all large because eventually. Thus .
Fix . The data and the chosen vertices satisfy the hypotheses of [L1]. Therefore either [L1] already yields a -comb in , or . So if the first alternative never occurs, the displayed bound holds for every .
Put . Since , we have , and . Hence [L2] gives . Using the disjoint union from step 2.1 and the layer bound from step 2.2, we obtain .
Therefore either the comb alternative occurs at some stage, or the displayed bound on holds. This is exactly the Statement.
A rooted stable-tooth comb
Definition
Let be a finite graph. A rooted stable-tooth comb in is data
with such that:
- is a -comb in for some , in the sense of Combs in a graph;
- ;
- the set is stable; and
- the root vertex is complete to and anticomplete to .
The word "stable-tooth" records condition 3: the teeth form a stable set. Condition 2 makes the disjoint-set predicates in condition 4 well defined in the sense of Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs.
A tau-critical graph with a large low-degree induced subgraph has a rooted stable-tooth comb
Statement
For all reals with , there exists such that the following holds for every real with .
Let be a -critical graph, and let satisfy . Suppose the induced subgraph has maximum degree at most . Then there are:
- an integer ;
- vertices ; and
- pairwise disjoint sets
such that
is a rooted stable-tooth comb in , and each block satisfies
Facts & Assumptions
Given: Reals with , a real , a -critical graph , and a set with such that has maximum degree at most .
If is -critical, then , and every proper induced subgraph of satisfies (A tau-critical graph, Subgraphs, induced subgraphs and spanning subgraphs).
For every finite graph , (The parameter kappa(G)=alpha(G)omega(G), Cliques, stable sets, the clique number and stability number ).
The bipartite theorem gives either a -comb when , or the explicit bound (A bipartite graph with bounded A-degree has a large comb or a small B-side).
A rooted stable-tooth comb consists of a comb whose teeth form a stable set, together with a root adjacent to all teeth and anticomplete to all blocks (A rooted stable-tooth comb).
Proof
If , then no nonempty graph can have a subset with , so the theorem is vacuous. Hence we may assume . Choose so small that . Because , decreasing decreases both summands, so the same inequality holds for every .
By [L1], . Since is a positive integer for every nonempty graph, it cannot equal : otherwise [L2] would force , hence , contradicting . Therefore , so and hence .
Set . As long as , choose a vertex of maximum degree in , let , choose a stable set with , and let be the set of vertices in with no neighbour in . This is possible because when , the induced subgraph is proper, so [L1] and [L2] give . The process stops after finitely many steps because , so whenever .
For , the set is contained in , so by construction there are no edges from to . Hence are pairwise nonadjacent, and is stable. For each , let be the set of vertices in that have a neighbour in . Then , because every vertex removed when passing from to is either , a neighbour of , or a vertex outside with a neighbour in .
Put . Fix . If , then and therefore , so certainly . Assume now that . Every vertex of has a neighbour in by definition, and every vertex of has at most neighbours in because has maximum degree in and . Apply [L3] to the bipartite graph between and with , , and . If [L3] yields a -comb in , then the blocks lie in , the teeth lie in the stable set , and is adjacent to every tooth and anticomplete to every block. Thus [L4] gives a rooted stable-tooth comb in . Also because the disjoint blocks lie in , so , and . Therefore the theorem is proved in this case. We may hence assume instead that . This bound now holds for every .
Let . Since is stable by step 2.1, its size is at most . On the other hand, step 1.3 and [L1] give . Summing over and dividing by yields .
Since are stable by step 2.1, we have , where the last inequality uses step 1.2.
Because and has maximum degree in , we have . Hence , and, because , .
Divide the partition identity in step 2.1 by . Using step 3.1 and the bound on from step 4.1, we obtain . Combining this with steps 1.1 and 3.3 gives , a contradiction. Therefore the comb outcome in step 3.1 must occur, and that outcome yields exactly the rooted stable-tooth comb asserted in the Statement.
A sparse graph has a prescribed-size induced subgraph of bounded maximum degree
Statement
Let be a finite graph with at most
edges, where . If is an integer with , then there exists with such that the induced subgraph has maximum degree at most .
Facts & Assumptions
Given: A finite graph , a real , and an integer with , such that has at most edges.
Proof
If , then any single vertex set works, because a one-vertex graph has maximum degree .
If , then has no edges, so any -vertex set has maximum degree . Hence we may assume from now on that and . Average the edge count over all -vertex subsets . Some such satisfies , because the expected edge count in a random -subset is exactly the global edge count multiplied by the probability that both endpoints of a given edge are chosen.
In this chosen set , fewer than vertices have degree greater than . Otherwise at least vertices would contribute more than each to the degree sum, giving , contrary to step 1.2.
Delete all vertices of whose degree in exceeds . By step 2.1 at least vertices remain; choose any of them and call the resulting set . Every vertex of has degree at most its degree in , so .
This has the required size and degree bound.
An H-free graph has a linearly large induced subgraph whose graph or complement has bounded maximum degree
Statement
For every finite graph and every real , there exists such that every nonempty -free graph contains a set with for which one of or has maximum degree at most .
Facts & Assumptions
Given: A finite graph , a real , and a nonempty -free graph .
For every graph and every real , there exists such that every nonempty -free graph contains a set with and either or (The edge-density form of Rödl's theorem: every nonempty -free graph has a linearly large set of self-density at most or at least ).
If a graph on vertices has at most edges, then for every integer with it has an -vertex induced subgraph of maximum degree at most (A sparse graph has a prescribed-size induced subgraph of bounded maximum degree).
Proof
Put . If , then . The conclusion is trivial with , because every induced subgraph has maximum degree at most . So we may assume , and [L1] gives for the parameter . Set .
Apply [L1] to the given nonempty -free graph . Then there is with and either or . Let . Since is an integer and , we have , so .
First suppose . Writing , the definition of density gives . If , then and itself already has maximum degree . If , then , so . Applying [L2] with gives a set with and maximum degree at most .
Now suppose instead that . If , then . Applying step 3.1 to the complement graph on the same vertex set yields with such that has maximum degree at most .
In either case there is a set with such that one of or has maximum degree at most .
A rooted stable-tooth comb with a cross-edge between two blocks contains an induced five-cycle
Statement
Let be a finite graph containing a rooted stable-tooth comb
If and there are vertices and with , then the induced subgraph on is isomorphic to .
Facts & Assumptions
Given: A rooted stable-tooth comb in a finite graph , indices , and adjacent vertices , .
In a rooted stable-tooth comb, each tooth is adjacent to every vertex of its own block, anticomplete to every other block, the teeth form a stable set, and the root is adjacent to all teeth and anticomplete to every block (A rooted stable-tooth comb).
An induced copy of is a five-vertex set whose induced subgraph is isomorphic to the cycle graph on five vertices (Induced embeddings and induced copies of a graph, Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
Proof
By [L1], the edges , , , , and are present. The same definition excludes every other edge among : the teeth are nonadjacent, the root is anticomplete to the blocks, and each tooth is anticomplete to the other tooth's block.
Therefore the cyclic order uses exactly the edges of the induced subgraph on . By [L2], that induced subgraph is a copy of .
The C5-free graphs satisfy a polynomial kappa bound
Statement
There exists a real such that every nonempty -free graph satisfies
Facts & Assumptions
Given: A nonempty -free graph .
For every graph and every real , there exists such that every nonempty -free graph contains a linearly large induced subgraph whose graph or complement has maximum degree at most (An H-free graph has a linearly large induced subgraph whose graph or complement has bounded maximum degree).
For every with , there exists such that every -critical graph with and every linearly large induced subgraph of maximum degree at most contains a rooted stable-tooth comb with at least teeth and block size at least (A tau-critical graph with a large low-degree induced subgraph has a rooted stable-tooth comb).
A cross-edge between two different blocks of a rooted stable-tooth comb creates an induced copy of (A rooted stable-tooth comb with a cross-edge between two blocks contains an induced five-cycle).
A minimal -free counterexample to a bound of the form is -critical (A minimal counterexample to a kappa-bound is tau-critical).
Proof
Choose with . Apply [L1] with and this to obtain . Set . Then every nonempty -free graph has a set with such that one of or has maximum degree at most . Let be the constant from [L2] for this pair . Because , choose so small that .
Suppose for contradiction that some nonempty -free graph satisfies . Choose such a graph of minimum order. Then [L4] makes it -critical.
Apply the last sentence of step 1.1 to this minimal counterexample. There is a set with such that one of or has maximum degree at most . If the low-degree graph is , replace by its complement. This preserves the order, preserves because complement swaps cliques and stable sets, preserves -criticality because induced subgraphs and complements commute, and preserves -freeness because . So after this replacement we may assume that itself has maximum degree at most .
Apply [L2] to the -critical graph and the set . We obtain a rooted stable-tooth comb in such that and for each . If some block meets another block by an edge, then [L3] gives an induced in , impossible. Therefore the blocks are pairwise anticomplete.
Each is a proper induced subgraph of , so -criticality and [L5] give . Hence .
Because the blocks are pairwise anticomplete, stable sets chosen inside different may be united. Thus . Multiplying by and using [L5], . Since step 1.2 assumes , cancelling yields .
Step 3.1 gives , and step 1.1 has , so . Therefore . Combining with step 5.1 gives , contrary to step 1.1. This contradiction proves that no counterexample exists, so every nonempty -free graph satisfies .
The five-cycle has the Erdős-Hajnal property
Statement
The graph has the Erdős-Hajnal property.
Facts & Assumptions
Given: The graph .
There exists such that every nonempty -free graph satisfies (The C5-free graphs satisfy a polynomial kappa bound).
For a finite family of graphs, the existence of a positive-power -bound is equivalent to the Erdős-Hajnal property (The Erdos-Hajnal property is equivalent to the large-cograph, large-perfect, and kappa formulations).
Proof
By [L1], the family consisting only of satisfies the -formulation of the Erdős-Hajnal property.
Applying the implication from clause 4 to clause 1 in [L2], we conclude that has the Erdős-Hajnal property.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, proof of Theorem 2.1
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, Theorem 2.1
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, Theorem 3.1
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, Theorem 4.2
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, Theorem 4.3
- Tung H. Nguyen, Notes on Recent Work on the Erdős-Hajnal Conjecture, proof sketch around Theorem 1.3
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, proof of Theorem 4.4
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, Theorem 4.4
- Tung H. Nguyen, Notes on Recent Work on the Erdős-Hajnal Conjecture, introductory C5 discussion
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, Theorem 1.4
- Tung H. Nguyen, Notes on Recent Work on the Erdős-Hajnal Conjecture, solved five-vertex graph list