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Blockades, Combs and Pattern Graphs
1 · Prerequisites
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Graphs, Walks and Connectivity
- Induced Subgraphs and Hereditary Graph Classes
- Regular Pairs and Induced Counting
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sparse Restricted Subgraphs and the Rödl–Nikiforov Theorems
- The Erdős–Hajnal Property and Homogeneous Sets
- The ZFC Axioms and the Basic Set Constructions
2 · Summary
This page is intentionally narrow. It fixes the blockade vocabulary used in the iterative Erdős–Hajnal literature, isolates the pattern-graph viewpoint for pure blockades, and records the two gateway arguments that convert either complete/anticomplete blockade hypotheses or large sparse-pair hypotheses into restricted induced subgraphs or sparse blockades.
The later cograph and iterative-comb pages own the deeper structure theory. Here the pattern graph is used only as much as the gateway theorem needs: a -free pattern yields a large homogeneous set of blocks, which in turn yields a complete or anticomplete subblockade. The second theorem is even more local: it is the maximal-blockade extraction argument that turns repeated large sparse pairs into a long ordered blockade.
3 · Logical flowchart
4 · Definitions, theorems and proofs
This page fixes the blockade conventions and the role of order
On this page, a blockade is an ordered sequence of disjoint vertex sets. Length and width ignore that order, but directional notions do not: an -sparse blockade is one in which later blocks are -sparse to earlier ones. So reversing the block order can destroy -sparsity even when every unordered pair of blocks is weakly sparse.
The page also keeps the source convention that all graphs are finite, simple, and undirected.
Blockades, their length, their width, and their support
Definition
Let be a finite graph, let with , and let be real. An -blockade in is a sequence
of pairwise disjoint nonempty subsets of such that and for every .
Each is a block. The length of is , its width is
and its support is
Complete, anticomplete, pure, weakly sparse, and -sparse blockades
Definition
Let be a blockade in a graph and let .
- is complete when every pair with is complete in the sense of Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs.
- It is anticomplete when every pair with is anticomplete.
- It is pure when every pair with is pure.
- It is weakly -sparse when every pair with is weakly -sparse in the sense of Sparsity of one vertex set to another, and weak sparsity of a pair.
- It is -sparse when is -sparse to for every .
The last condition depends on the order of the blocks, while the first four do not.
Combs in a graph
Definition
Let with , and let . An -comb in a graph is a sequence of pairs
satisfying the conditions below.
Here a vertex is complete to (respectively, anticomplete to) a set when the pair is complete (respectively, anticomplete) in the sense of Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs.
- is an -blockade;
- the vertices are distinct;
- the set is disjoint from every block ; and
- for every , the vertex is complete to ; and
- for all distinct , the vertex is anticomplete to .
The vertices are the teeth of the comb.
The pattern graph of a pure blockade
Definition
Let be a pure blockade in a graph . Its pattern graph is the graph with vertex set in which and are adjacent exactly when is complete to .
Because the blockade is pure, every unordered pair of distinct blocks is either complete or anticomplete, so this graph is well defined. A pattern graph is called -free when it contains no induced four-vertex path.
Sparse orientations of a blockade
Definition
Let be a blockade and let . A sparse orientation of is an orientation of the complete graph on the index set such that whenever the edge is oriented from to , the block is -sparse to in the sense of Sparsity of one vertex set to another, and weak sparsity of a pair.
The order orientation for is the one built into the definition of an -sparse blockade (Complete, anticomplete, pure, weakly sparse, and -sparse blockades).
A -free graph on vertices has a homogeneous set of size at least
Statement
If is a -free finite graph with vertices, then
Facts & Assumptions
Given: A -free graph on vertices.
Every -free graph with more than one vertex admits a partition with such that is a pure pair (Chudnovsky--Scott--Seymour--Spirkl, "Erdos-Hajnal for graphs with no 5-hole", §5 Blockades, sentence immediately preceding Theorem 5.1).
Proof
We prove the stronger inequality. [given] by induction on . The cases and are immediate.
Assume . By [L1], write with and pure. Put. [step 1.1, L1] The induction hypothesis gives and .
If is complete, then. [step 2.1, algebra] and , whence If is anticomplete, then and , and the same calculation gives .
The induction closes. Since. [step 1.1, step 3.1, algebra] , one obtains .
Pure blockades with -free patterns contain complete or anticomplete subblockades of square-root length
Statement
Let be a pure blockade whose pattern graph is -free. 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 -free pattern graph .
Proof
By A -free graph on vertices has a homogeneous set of size at least , the pattern graph has a clique or stable set with .
If is a clique, then by the definition of the pattern graph every pair of blocks indexed by is complete, so is a complete subblockade. If is a stable set, the same definition makes anticomplete. In either case the width does not decrease when blocks are discarded.
Therefore contains a complete or anticomplete subblockade of length at least and of at least the original width.
A maximal pure blockade with large total -mass must already have at least blocks
Statement
Let , let , and let be a graph with the property that every induced subgraph of with contains a complete or anticomplete -blockade for some .
Suppose is maximal subject to the existence of a pure blockade in whose pattern graph is -free, such that for every and
Then .
Facts & Assumptions
Given: The hypotheses of the statement and a maximal blockade .
Proof
Suppose for contradiction that . Reorder the blocks so that . Then so . By the hypothesis on , the induced subgraph contains a complete or anticomplete -blockade for some .
Replace the block by , and keep the other blocks . Because was pure, every outside block is either complete or anticomplete to , hence to each . The new blockade is still pure, its pattern graph is obtained by substituting a complete or edgeless graph for the vertex corresponding to , and so it is still -free.
Every new block satisfies , while So the new blockade still satisfies the lower bound on every block and on the total -mass, but it has blocks. This contradicts the maximality of .
Therefore .
Complete or anticomplete blockade hypotheses force an -restricted induced subgraph
Statement
Let and . Let be a graph such that for every induced subgraph of with , there exists and a complete or anticomplete -blockade in . Then has an -restricted induced subgraph with at least vertices.
Facts & Assumptions
Given: The hypotheses of the statement.
Proof
Let be maximal subject to the existence of a pure blockade whose pattern graph is -free, every block has size at least , and . By A maximal pure blockade with large total -mass must already have at least blocks, one has .
By Pure blockades with -free patterns contain complete or anticomplete subblockades of square-root length, this blockade has a complete or anticomplete subblockade indexed by a set with . For each , choose with , and put . Then .
If the chosen subblockade is anticomplete, then every vertex of has neighbors in only inside , so its degree in is at most . Hence is -sparse, and therefore -restricted.
If the chosen subblockade is complete, then in the complement every vertex of has neighbors only inside , so the same estimate shows that is -sparse. Therefore is -dense, and again -restricted.
In either case has an -restricted induced subgraph on at least vertices, namely .
Large sparse-pair hypotheses yield an -sparse or complete blockade
Statement
Let , let , , and let . Let . Suppose that is a graph with such that for every induced subgraph of with , there are disjoint sets satisfying
and such that is -sparse or complete to .
Then contains an -sparse or complete -blockade.
Facts & Assumptions
Given: The hypotheses of the statement.
Proof
Let be maximal such that has a blockade with for all , with , and such that for every , either every later block is -sparse to or every later block is complete to . This is possible because and already satisfy the conditions.
Suppose that . Since , one has . For the elementary inequality holds, so with we get . Therefore . Applying the hypothesis to the induced subgraph , choose disjoint with and , and with -sparse or complete to . Because , the relation of every earlier block to restricts to the same relation to both and . Hence is a larger blockade of the same type, contradicting the maximality of . So .
Let be the set of indices such that every later block is -sparse to , and let be the set of indices such that every later block is complete to . By construction every index lies in , so one of or has cardinality at least .
Since one of is an integer at least , step 3.1 makes that cardinality at least . [step 3.1, given] If it is , choose indices from in their inherited order; the corresponding blocks form an -sparse blockade. If it is , the same choice from gives a complete blockade. Every selected block has size at least by step 1.1. Thus one of the two required blockades exists.
Therefore contains an -sparse or complete -blockade.
5 · Examples, counterexamples and false statements
None yet.
Sources
- T. H. Nguyen, Notes on Recent Work on the Erdős–Hajnal Conjecture
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdős-Hajnal beyond the five-vertex path
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, §5
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Theorem 7.4 and Claim 7.4.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Theorem 7.4
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdős-Hajnal beyond the five-vertex path, Lemma 2.8