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Pure Pairs, Forests and Path–Antipath Classes
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
- Finite Probability and the Probabilistic Method
- 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
- 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
- Polynomial Rödl, Virality and Erdős–Hajnal Equivalence
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Ramsey Theory
- 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 page collects pure-pair results for path–antipath and forest classes, together with the leaf–co-leaf extension construction.
The forest argument constructs support-regular blockades and embeds rooted trees before deducing the strong Erdős–Hajnal property. The viral extension argument deletes a leaf from one forbidden graph and a co-leaf from the other; its copy-count and sparse-blockade lemmas supply the proof.
3 · Logical flowchart
4 · Definitions, theorems and proofs
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 2.1. 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 .
Every -free graph has a polynomial-size pure pair
Statement
For every finite graph , there exists a real constant such that every finite -free graph with contains disjoint sets satisfying
and such that is a pure pair.
Facts & Assumptions
Given: A finite graph and a finite -free graph with .
The Erdős-Hajnal-Pach theorem gives a real constant such that every finite -free graph on at least two vertices contains disjoint sets with and with complete or anticomplete to .
A pair of disjoint vertex sets is pure exactly when it is complete or anticomplete (Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs).
Proof
By [F1], choose and disjoint sets with such that is complete or anticomplete to . Set . Then and are certainly at least .
By [L1], the pair is pure. Therefore the constant has the required property.
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.
Coherent graphs and support-regular blockades
Definition
A finite graph is -coherent if , every vertex has degree less than , and there are no disjoint anticomplete with .
Let be a blockade. A minor of is obtained by retaining some blocks in their original order and replacing each retained block by a nonempty subset. It is equicardinal when all its blocks have the same size. A copy of an ordered graph is -rainbow when its vertices lie in distinct blocks, in the prescribed order. Its support is the set of block indices it uses; the trace of is the family of all such supports.
For an integer , is -support-uniform if for every ordered tree of at most vertices its trace is either empty or contains every -element set of block indices. For , it is -support-invariant if every contraction of width at least times its width has exactly the same trace for every such .
Suppose the blocks have common size . A set outside -covers if at least vertices of have a neighbor in , and -misses if at least vertices of have none. The blockade is -concave if no and exist such that -covers and -misses both and .
For integers , , let be the rooted complete -ary tree of height . A rainbow rooted tree is left-rainbow if its root is in its leftmost used block; right-rainbow is defined symmetrically.
A long blockade has a wide support-invariant, support-uniform minor
Statement
For integers and , some integer has the following property. Every blockade of length at least and width has an equicardinal minor of length and width at least which is -support-uniform and -support-invariant.
Facts & Assumptions
Given: and as in the Statement. We may discard surplus blocks and take its length to be exactly .
Finite uniform Ramsey guarantees, for any finite coloring of the -subsets of a sufficiently large index set, a prescribed-size monochromatic subset (For positive there is an such that every -colouring of has a monochromatic -element set).
Proof
List the finitely many ordered trees on at most vertices. By repeated application of [L1], one tree at a time, choose large enough that every -block blockade has a -block sub-blockade whose trace is monochromatic for every tree on this list. This is a backward iteration of finitely many finite Ramsey numbers; when an order has fewer than blocks, its -vertex trace is empty.
For this , there are at most ordered-tree types on at most vertices: root each tree at its first ordered vertex; for size the parent map on the other ordered positions has at most possibilities, and . Each trace has at most supports. Thus the sum of all trace cardinalities is an integer in , where .
Start by trimming all blocks to width . Choose the largest integer for which an equicardinal contraction of the original -block blockade has width at least and . Such a exists because works. If were not -support-invariant, some contraction of it of width at least would remove a support from the trace of an ordered tree of size at most . Trim its blocks to equal size. Trimming can only remove further supports, so the new equicardinal contraction has width at least and cost at most . This contradicts maximality of . Hence is invariant and has width at least .
Apply the Ramsey choice of step 1.1 to : for each ordered tree of size , color every -subset of block indices by whether it belongs to its trace, and successively retain a monochromatic sub-blockade. Keep exactly blocks. Each trace is empty or contains every -subset, so this minor is -support-uniform.
Support-invariance survives taking a sub-blockade: extend any contraction of the sub-blockade to the discarded blocks unchanged; since all original blocks of have the same size, the extended contraction retains at least the same fraction of its width. A copy on retained indices survives in the extended contraction if and only if it survives in the restricted one. Thus the sub-blockade is also -support-invariant, equicardinal, and retains the width lower bound from step 2.1.
A wide concave support-regular blockade contains a rainbow rooted tree
Statement
Let and be integers, put , and let . Suppose an -coherent graph has an equicardinal blockade of length and width . If is -concave, -support-uniform and -support-invariant, then has a -rainbow induced copy of .
Facts & Assumptions
Given: All data in the Statement. Write and . Every vertex has degree and disjoint anticomplete sets cannot both have size .
Proof
Let and be the greatest heights of a -left-rainbow and a -right-rainbow rooted complete -ary tree, respectively. The single vertex gives both a starting value, and settles the case . Suppose and there is no rainbow . Then ; reverse the blockade if needed so that . For , define by joining a new root to the roots of disjoint copies of . Put for ; for , , use copies of and copies of instead. Let , , consist of copies of with the root of the first joined to the other roots and retained as root. Let be maximal such that a left-rainbow occurs. Such a copy exists at . Because , and contains a rooted , none of these three extremal cases can occur.
Call a minor , with , -anchored if some is anticomplete to , every roots a left-rainbow inside , and every roots a right-rainbow there. The original blockade, with , and , is anchored. Choose maximal among anchored minors of length at least and width at least ; trim its blocks equally and call their common size . From step 1.1, and . Hence and .
Let and , so , and put . The anchor length bound gives because and . Put ; then . Support-uniformity gives a left-rainbow on the consecutive blocks and a right-rainbow on . Greedily pack pairwise vertex-disjoint copies of the former in the corresponding -blocks, and pairwise vertex-disjoint copies of the latter. Indeed, if a maximal packing had members, removing its vertices from each used -block would leave width , contradicting -support-invariance of the appropriate sub-blockade of . The two packings use disjoint intervals of blocks.
For , let count the indices for which meets , and let count those for which it meets a nonroot vertex. Choose inclusion-maximal subject to and . At least roots of the have no neighbor in , so coherence implies . The untouched roots in and also show that -misses both blocks. Concavity therefore says that does not -cover any of . Every internal meeting of an uses a nonroot vertex in those interior blocks, so . Since , , and , we get .
Let be the vertices meeting at least one , and let be the indices whose is anticomplete to . Since , coherence bounds the vertices of missing every by ; hence . Every meets at least one pair indexed by : otherwise adjoining it to leaves unchanged and cannot decrease , contrary to maximality. If , the number of it meets internally is less than one quarter of the number it meets at all. Otherwise would satisfy the two defining inequalities of : its new is at most (one vertex has fewer than neighbors among the disjoint rooted trees), and its new would be at least a quarter of its new . More directly, maximality says ; subtract .
Order the indices of uniformly at random. For each , the first pair it meets among is met properly (at one or both roots but at no nonroot vertex) with probability by step 5.1. On each side , the probability that fewer than half its vertices of are proper-first is : otherwise the expected number of proper-first vertices on that side would be at most three quarters of its size. Thus one order makes both sides at least half proper-first. Relabel all pairs so that the chosen order of occupies the initial segment , with every pair outside placed afterward, and call the set of proper-first vertices . Then and likewise at ; moreover each side has at least vertices in . Each has a first proper meeting index, its happiness, and one of four types according to its side and which root it meets.
As , one side has at least vertices of . Choose the first index at which either side has at least vertices of happiness at most . At that side select a set of at least such vertices all having one of the two types there. Let be the union of vertices of over . On each endpoint side fewer than vertices of have happiness before , and at most have happiness exactly because each of the two roots has degree . Thus each side has at least vertices of anticomplete to . Every , , therefore -misses both and . By concavity it cannot -cover any with . Consequently each in this latter range has at most vertices meeting , and has more than vertices anticomplete to .
We now enlarge the anchor with . In every case choose vertices from on its active endpoint, from the opposite endpoint anticomplete to , and from each with anticomplete to . The preceding bounds permit these choices; was already anticomplete to the intermediate blocks. The new minor has indices , length , and width at least .
If has type , each joins properly to the root of an in , which contains a rooted ; adjoining this to the anchored at supplies a left-rainbow . The same works for type because and contains a rooted . Type supplies a right-rainbow : before it adds an -branch, afterward a -branch. Type with likewise adds an -branch. Each contradicts maximality of using the new anchored minor from step 8.1.
In the only remaining case, has type and . Pick and the it meets properly. The anchored rooted at contains a rooted ; join that branch at to the root of . The sets and are anticomplete, the meeting is proper, and all used blocks are distinct. This yields a left-rainbow , contrary to maximality of . Every case contradicts the assumption in step 1.1, so a rainbow exists.
Every forest-free graph has a linear anticomplete pair or a linear-degree vertex
Statement
For every forest , there exists a real constant such that every finite -free graph with satisfies at least one of the following:
- some vertex of has degree at least ;
- there exist disjoint sets with and anticomplete to .
Facts & Assumptions
Given: A forest and an -free finite graph with at least two vertices.
Coherence, rainbow copies, support-uniformity and concavity are as in Coherent graphs and support-regular blockades.
Every sufficiently long blockade has an equicardinal support-uniform and support-invariant minor of explicitly bounded width (A long blockade has a wide support-invariant, support-uniform minor).
A sufficiently long, wide, concave support-regular blockade in a coherent graph contains the prescribed complete rooted tree (A wide concave support-regular blockade contains a rainbow rooted tree).
Proof
We prove the following quantitative claim for every finite tree : there are an integer and a real such that whenever a graph has a blockade of length at least and width , and is -coherent, it contains a -rainbow induced copy of . For the one-vertex tree take . Assume the claim for the tree obtained by deleting a leaf from a larger tree , and let be the neighbor of .
Embed as an induced subtree of for integers , . Set , , , , and . Enlarge to a multiple of satisfying , and put . Choose from [L2] for parameters ; put and . We claim and work.
Let and satisfy the claim's hypotheses for , write and , and suppose there is no rainbow . By [L2], has an equicardinal minor of width , which is -support-uniform and -support-invariant. Since , -coherence implies -coherence. Apply to find a rainbow copy of . Order its vertices by block index, call the resulting ordered tree , write , and let the image of be its th vertex.
No set lying in blocks of outside selected indices can -cover and -miss every other selected block. If such existed, contract to vertices with a neighbor in , each other selected block to vertices without a neighbor in , and leave the remaining blocks unchanged. This has width at least . Support-invariance and support-uniformity preserve a copy of on the selected support. A neighbor in of its th vertex then has no neighbor among its other vertices, giving a rainbow , a contradiction.
Group consecutive runs of blocks of into , . This is an equicardinal blockade of width . It is -concave. Indeed, if outside three selected superblocks covered the middle one and missed the two outer ones at level , some constituent middle block would be -covered. Unless step 4.1 applied, fewer than constituent blocks of the left superblock or fewer than of the right could be -missed. On that side fewer than blocks have as many as nonneighbors in ; every other constituent block has fewer than . Its total nonneighbors would be less than , while -missing the side requires at least . Thus , impossible because .
The superblock blockade is also -support-uniform and -support-invariant. To see this, a rainbow copy of an ordered tree on the superblocks is already rainbow on constituent blocks, and support-uniformity of places it on any chosen constituent block of each selected superblock. If each selected superblock is contracted to at least vertices, one constituent block retains at least vertices. Support-invariance of then preserves the copy on those constituents. Since , this also gives -support-invariance. Moreover and . Thus [L3] applies to and gives a rainbow , containing a rainbow induced . This contradicts step 3.1 and proves by induction.
Choose a tree containing as an induced subgraph: join the components of in a chain through new intermediate vertices; the case has no nonempty -free graph. Let satisfy , enlarge if needed so , and choose . Every -coherent graph has : otherwise its maximum degree is zero, and two singleton anticomplete sets violate coherence. Hence . Partition off disjoint blocks, each of size at least . By , contains induced , hence induced .
If the given -free had neither a vertex of degree at least nor an anticomplete pair with both sides at least , it would be -coherent. Step 7.1 would then give an induced , contrary to the hypothesis. Thus one of the two alternatives holds for the same constant in every -free graph.
For every forest , graphs excluding and have a linear pure pair
Statement
For every forest , there exists a real constant such that every finite graph with no induced and no induced and with contains disjoint sets satisfying
and such that is a pure pair. Equivalently, the hereditary class of graphs forbidding and has the strong Erdős-Hajnal property.
Facts & Assumptions
Given: A forest and a finite graph excluding both and .
There is such that every -free graph on at least two vertices has an anticomplete pair with both sides at least times its order, or a vertex of degree at least times its order (Every forest-free graph has a linear anticomplete pair or a linear-degree vertex).
For , every nonempty -free graph has a -restricted set of size at least for some depending on (Rödl: for every and every there is such that every nonempty -free graph has an -restricted vertex set of size at least ).
The forbidden induced-subgraph class is hereditary (Every class defined by forbidden induced subgraphs is hereditary).
Proof
Choose with and apply [L2] with , obtaining . Put .
Let exclude and have vertices. By [L2] it has with which is either -sparse or -dense. If , then ; any two distinct vertices of are a complete or anticomplete pair of singletons, both of size at least .
Suppose and is -sparse. The induced graph is -free and has maximum degree at most . Therefore [L1] gives disjoint anticomplete with .
Suppose instead and is -dense. The complement is -free because excludes , and its maximum degree is at most . Apply [L1] there to obtain an anticomplete pair of size at least on each side; it is a complete pair of size at least in .
All cases give a pure pair of the required linear size. By [L3] and the definition of strong Erdős–Hajnal property, the hereditary class excluding has that property.
For every forest , graphs excluding and have the Erdős-Hajnal property
Statement
For every forest , every finite graph with no induced and no induced has a clique or a stable set of size at least a positive power of its order. Equivalently, the hereditary class forbidding and has the Erdős-Hajnal property.
Facts & Assumptions
Given: A forest .
The class of graphs with no induced and no induced has the strong Erdős-Hajnal property (For every forest , graphs excluding and have a linear pure pair).
Every class defined by forbidden induced subgraphs is hereditary (Every class defined by forbidden induced subgraphs is hereditary).
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
Let be the class of finite graphs with no induced and no induced . By [L2], this is a hereditary class, and by [L1] it has the strong Erdős-Hajnal property.
Applying [L3] to gives the Erdős-Hajnal property for that class. This is the claimed graph-level statement.
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.
A sparse host has many leaf extensions, few smaller copies, or a sparse pair
Statement
Let be an ordinary finite graph with and leaf , and put . Let and . If the maximum degree of a finite graph on vertices is at most , then at least one of the following holds:
- ;
- some has and ;
- there are disjoint with , , and is -sparse to .
Facts & Assumptions
Given: The graph, leaf and parameters in the statement. Induced-copy counts count labelled induced embeddings.
An induced embedding of is an induced embedding of , where is the unique neighbor of , plus one image for . Once the image of and a candidate image for are fixed, a vertex outside their image extends the embedding to exactly when it is adjacent to the image of and nonadjacent to the image of . This uses only the adjacency of the leaf, so no ordering of either graph is needed.
Proof
Suppose outcomes 2 and 3 fail. If , choose a singleton ; because , it has no copy of , giving outcome 2. If , take any vertex as and all its nonneighbors outside as . Then and , since ; moreover is -sparse to . Thus failure of both outcomes implies and . In particular , so .
Choose any set of vertices. For each induced embedding , let be the embeddings of into restricting to ; the image of distinguishes their members. Let be the for which . Failure of outcome 2 gives There are at most maps , while each has fewer than extensions. As , the embeddings over therefore number more than . Each has at most extensions, so
Fix and let . Let be the images of in , so , and choose of size . Let consist of vertices outside with no neighbor in . At most vertices are excluded by adjacency to , whence Because outcome 3 fails, fewer than vertices of have at most neighbors in ; otherwise those vertices, with , would give that outcome. By (2), more than vertices of have more than neighbors in . The last inequality follows from and . Hence there are more than edges from to .
Every edge in (3), together with , yields a distinct induced embedding of : its endpoint in supplies , its endpoint in supplies , and the latter has no neighbor in . Different give different embeddings because restriction to recovers . Using (1), (3), , and , we get This is outcome 1.
A sparse host has many leaf extensions, few smaller copies, or a long sparse blockade
Statement
Let be a finite graph on vertices with leaf , and put . Let and . Suppose a finite graph on vertices has maximum degree at most . Then at least one of the following holds:
- ;
- some has and ;
- has an -sparse blockade of length at least and width at least .
Facts & Assumptions
Given: The data in the statement.
With parameters , the preceding leaf-extension lemma gives many -embeddings, a set with few -embeddings, or a sparse pair with first side of size at least times the host order and second side of size at least times that order (A sparse host has many leaf extensions, few smaller copies, or a sparse pair). The bound holds for .
Proof
Suppose all three outcomes fail. If , a singleton gives outcome 2 since . If , a greedy stable-set algorithm gives at least stable vertices: each selected vertex removes itself and at most neighbors. Taking those vertices as singleton blocks gives outcome 3. Consequently .
Among sequences of disjoint nonempty sets with -sparse to every earlier block, for , and , choose one with maximum . Such a sequence exists with and ; finiteness bounds . Since outcome 3 fails, . For , (for example, is concave and nonnegative at both endpoints). As , this gives
The graph has maximum degree at most by (1). Failure of outcome 1 and (1) give Because , failure of outcome 2 gives . Thus [L1] applied to supplies disjoint such that , , and is -sparse to .
Replace the old final block by . Since every vertex of was -sparse to each earlier block, the same is true of its subsets and ; the new last pair is sparse by step 3.1. The new sequence satisfies all the size conditions of step 2.1 with index , contradicting maximality. Therefore at least one stated outcome holds.
Deleting a leaf and a co-leaf preserves the Erdős-Hajnal property of a finite forbidden family
Statement
Let be a finite family of finite graphs. Let have a leaf , and let have a co-leaf . Write and . If
and
have the Erdős-Hajnal property, then has the Erdős-Hajnal property.
Facts & Assumptions
Given: A finite family of finite graphs, a member with leaf , and a member with co-leaf .
If the two modified families are viral, then is viral (Deleting a leaf and a co-leaf preserves virality of a finite forbidden family).
For finite families, the Erdős-Hajnal property is equivalent to virality (For a finite family, the Erdős–Hajnal property, the polynomial Rödl property, and virality are equivalent).
Proof
By [L2], the hypothesis that and have the Erdős-Hajnal property implies that both families are viral.
Applying [L1] gives that is viral.
A second application of [L2] turns virality of back into the Erdős-Hajnal property.
5 · Examples, counterexamples and false statements
None yet.
Sources
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