How statement and proof provenance work
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Pure Pairs, Forests and Path–Antipath Classes
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- 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
- 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
- Trees, Forests and Spanning Trees
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This draft page currently contains the cograph bridge, the strong-to-weak Erdős–Hajnal implication, the path–antipath strong theorem, and the co-leaf convention used later in the six-vertex extension route.
The planned forest and leaf-deletion items are not listed here yet because the current earlier library pages do not internalize the source proofs they would need. Those remaining page-409 items are recorded as explicit step-5 blockers in the batch notes rather than being represented by dishonest placeholders.
3 · Logical flowchart
4 · Definitions, theorems and proofs
The strong Erdős–Hajnal property for a hereditary graph class
Definition
Let be a hereditary class of finite graphs. We say that has the strong Erdős–Hajnal property if there exists a real constant such that every graph with contains disjoint vertex sets satisfying
and such that 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.
Every nontrivial -free graph is disconnected or has disconnected complement
Statement
Let be a finite simple graph with at least two vertices. If is -free, then is disconnected or is disconnected. Equivalently, no nontrivial -free graph is both connected and anticonnected.
Facts & Assumptions
Given: A finite simple graph with that is -free.
Every finite graph with at least two vertices is connected or anticonnected (Every graph with at least two vertices is connected or anticonnected).
A graph is anticonnected exactly when its complement is connected (Anticonnected graphs and anticonnected components).
Being -free means containing no induced copy of the four-vertex path (-free and -free graphs under the induced-subgraph convention, Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
In a connected graph every vertex has a neighbour, and if is connected then no vertex of 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
By [L1], if is disconnected then the first alternative of the Statement already holds. Assume instead that is connected.
Suppose for contradiction that is also anticonnected. Then [L2] makes connected. Choose a vertex . Because is connected and nontrivial, [F1] gives a neighbour of . Because is connected, [F1] also gives a vertex nonadjacent to . Among all pairs with and , choose one for which the distance from to in is minimal. Let be a shortest - path in .
Since and are nonadjacent, one has . A shortest path is induced, so and no nonconsecutive pair among is adjacent. If some with were adjacent to , then would be another neighbour/nonneighbour pair for whose distance is , contradicting the choice in step 1.2. Hence .
The four vertices therefore induce a path: the edges are , , and , while the nonedges are , , and . This is an induced copy of , contradicting [L3].
So a nontrivial -free graph cannot be both connected and anticonnected. Since step 1.1 reduced to the connected case, [L2] shows that whenever is connected, must be disconnected.
Every -free graph has a clique or stable set of size at least the square root of its order
Statement
If is a finite -free graph on vertices, then contains a clique or a stable set of size at least .
Facts & Assumptions
Given: A finite -free graph on vertices.
Every induced subgraph of a -free graph is again -free (-free and -free graphs under the induced-subgraph convention).
Every nontrivial -free graph is disconnected or has disconnected complement (Every nontrivial -free graph is disconnected or has disconnected complement).
Connected components partition the vertex set, and anticomponents do too (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 anticomponents are complete (Distinct connected components are anticomplete, and distinct anticonnected components are complete).
The clique number and stability number are and (Cliques, stable sets, the clique number and stability number ).
Proof
We prove by induction on the stronger statement . If , then when and when , so the inequality is immediate.
Assume . By [L2], either is disconnected or is disconnected.
Suppose first that is disconnected. By [L3], choose a connected component of and let ; then and are nonempty, and are induced subgraphs of , and [L4] makes anticomplete to . By [L1] both induced subgraphs are -free, so the induction hypothesis gives and . A stable set in together with a stable set in is still stable in , while every clique of lies in one side. Hence and , so .
Suppose instead that is disconnected. By [L3], choose an anticomponent of and let ; then and are nonempty, the induced subgraphs and are -free by [L1], and [L4] makes complete to . The induction hypothesis again yields and . Now a clique in together with a clique in is a clique in , while every stable set of lies in one side. Thus and , and again .
Steps 3.1 and 3.2 prove . Since , one obtains . By [L5], this says that has a clique or a stable set of size at least .
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 of finite graphs with the strong Erdős–Hajnal property.
The strong Erdős–Hajnal property means that some makes every graph with contain disjoint sets with and pure (The strong Erdős–Hajnal property for a hereditary graph class).
A hereditary class is closed under induced subgraphs (Hereditary graph classes).
Every -free graph on vertices has a clique or stable set of size at least (Every -free graph has a clique or stable set of size at least the square root of its order).
The Erdős–Hajnal property asks for a positive exponent such that every nonempty graph in the class has a clique or stable set of size at least (The Erdős–Hajnal property and an Erdős–Hajnal constant for a hereditary graph class).
Proof
If every nonempty graph in has one vertex, then is already an Erdős–Hajnal constant, so there is nothing to prove. We therefore assume that contains some graph with at least two vertices. Let be the strong Erdős–Hajnal constant from [L1]. Applying [L1] to one nontrivial graph in gives disjoint sets and with , hence . Choose so that .
We claim that every nonempty graph induces a -free subgraph on at least vertices. We prove this by induction on , and the case is immediate.
Let with , and assume the claim for smaller orders. By [L1], choose disjoint sets with and pure. By [L2], the induced subgraphs and both lie in , so the induction hypothesis gives induced -free subgraphs and with and .
Let . The pair is still pure because it sits inside the pure pair . No induced can lie entirely in one side, since and are each -free. A split is impossible because the lone vertex would be complete or anticomplete to the three opposite vertices, while a vertex of is neither complete nor anticomplete to the other three. A split is impossible as well: a complete cross-pair gives four cross edges, and an anticomplete cross-pair gives none, whereas has exactly three edges and is connected. Hence is -free.
By [L5], . This closes the induction and proves the claim from step 2.1.
Let be any nonempty graph in . By step 5.1, contains an induced -free subgraph with . Then [L3] gives a clique or stable set in of size at least , and the same set is a clique or stable set in . By [L4], the exponent is an Erdős–Hajnal constant for .
For every , the class forbidding and has the strong Erdős–Hajnal property
Statement
For every integer , there exists a real constant such that every finite graph with no induced and no induced and with contains disjoint sets with
and such that is a pure pair. Equivalently, the hereditary class forbidding and has the strong Erdős–Hajnal property.
Facts & Assumptions
Given: An integer .
For every graph and every there exists such that every nonempty -free graph has a linearly large vertex set whose self-density is at most or at least (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 nonempty set has self-density at most , then it has a subset of at least half its size that is -sparse (A set of self-density at most has a subset of at least half its size that is -sparse).
Connected components partition the vertex set, and distinct connected components are anticomplete (The connected components of a graph partition its vertex set and are its maximal connected subgraphs, Distinct connected components are anticomplete, and distinct anticonnected components are complete).
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).
A set is -sparse exactly when every vertex of its induced subgraph has degree at most times the set size (-sparse, -dense and -restricted vertex sets).
Proof
We first prove the connected-case claim: for each there are constants and such that every connected graph on vertices has a vertex of degree greater than , or contains an induced starting at every vertex, or has a biclique of size at least in . We prove this by induction on .
For , choose and . Every vertex of a connected graph on at least two vertices is incident with an edge, so every vertex starts an induced . Thus the claim holds for .
Fix , assume the claim for , and let . Since , choose any constant . Now let be a connected graph on vertices for which the first outcome fails, so every vertex has degree at most . Fix a vertex and put . Then . Since is connected, has degree at least , so and therefore .
Suppose every connected component of has size at most . Choose components greedily until their union has size in the interval : if the running union first reaches before it exceeds , stop there; otherwise the next component itself has size in and we take that one alone. Let . Then , and [L3] makes anticomplete to in . Hence and form a biclique of size at least in .
Suppose instead that has a connected component with . Because is connected, some vertex has a neighbour in . Let , which is connected. Every vertex of still has degree at most , and because . So the first outcome of the induction hypothesis is false for .
Apply the induction hypothesis to with parameter . If outcome 2 holds there, then contains an induced starting at , and prefixing this path with gives an induced in starting at because is adjacent to and has no neighbours in . If outcome 3 holds there, then contains a biclique of size at least , and the same biclique lies in . Thus, whenever outcome 1 fails for , either outcome 2 or outcome 3 follows. This completes the induction and proves the connected-case claim.
Let . Because is the standard -vertex path, [L1] applied to yields a constant such that every nonempty -free graph has a vertex set of size at least whose self-density is at most or at least .
Let be a graph with no induced and no induced , and let . If has a set of size at least and self-density at least , apply the same argument to : an induced in would be an induced in , and an induced in would be an induced in . So belongs to the same forbidden class. Replacing by if necessary, we may assume that has a set with and self-density at most .
By [L2], the set contains a subset with such that is -sparse. By [F1], every vertex of therefore has degree at most .
If every connected component of has size at most , then the same greedy argument as in step 4.1 partitions those components into anticomplete sets with . This is already a pure pair in .
Otherwise has a connected component with . Every vertex of has degree at most , and is -free because induced subgraphs preserve forbidden induced paths. Applying the connected-case claim from step 5.1 to the connected graph , outcome 1 is false by the degree bound and outcome 2 is false because contains no induced at all. Hence outcome 3 holds, so has a biclique with both sides of size at least . Equivalently, has an anticomplete pair of that size.
Let . Steps 9.1 and 9.2 show that every graph with no induced or and at least two vertices contains a pure pair with both sides of size at least . By [L4], the class forbidding and has the strong Erdős–Hajnal property.
For every , the class forbidding and has the Erdős–Hajnal property
Statement
For every integer , every finite graph with no induced and no induced has a clique or stable set of size at least a positive power of its order. Equivalently, the class forbidding and has the Erdős–Hajnal property.
Facts & Assumptions
Given: An integer .
For this , the class forbidding and has the strong Erdős–Hajnal property (For every , the class forbidding and has the strong Erdős–Hajnal property).
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
The previous theorem gives the strong Erdős–Hajnal property for the hereditary class of graphs forbidding and .
Applying [L2] to that class yields the Erdős–Hajnal property.
Co-leaves of a finite graph
Definition
Let be a finite graph and let . We say that is a co-leaf of if is a leaf of the complement graph .
Equivalently, is adjacent in to every vertex of except one. In degree language,
Thus a co-leaf is the complement-theoretic analogue of an ordinary leaf.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Nicolas Bousquet, Aurélie Lagoutte, and Stéphan Thomassé, The Erdős-Hajnal Conjecture for Paths and Antipaths
- Tung H. Nguyen, Notes on Recent Work on the Erdős-Hajnal Conjecture, Exercise 1.1
- Nicolas Bousquet, Aurélie Lagoutte, and Stéphan Thomassé, The Erdős-Hajnal Conjecture for Paths and Antipaths, Theorem 2
- Nicolas Bousquet, Aurélie Lagoutte, and Stéphan Thomassé, The Erdős-Hajnal Conjecture for Paths and Antipaths, Lemma 3 and Theorem 4
- Nicolas Bousquet, Aurélie Lagoutte, and Stéphan Thomassé, The Erdős-Hajnal Conjecture for Paths and Antipaths, Theorem 4
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdős-Hajnal beyond the five-vertex path, Theorem 1.7