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Iterative Sparsification and the Five-Vertex Path
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 Spaces and Random Variables
- 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
- Polynomial Rödl, Virality and Erdős–Hajnal Equivalence
- 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 Five-Cycle and the Erdős-Hajnal Property
- 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 draft page follows the source split that the design called out: the first half proves that is nice by iteratively building pure or sparse blockades, and the second half turns a nice blockade into either a complete or anticomplete blockade or a deeper sparse subgraph until the published restricted-set theorem can close the argument.
The final two items separate the two endpoints. First the page proves the polynomial Rödl property for , then it converts that stronger conclusion to the Erdős-Hajnal property using the already-published Rödl-to-EH implication.
3 · Logical flowchart
4 · Definitions, theorems and proofs
A nice graph
Definition
Let be a finite graph. We say that is nice if there exists a real such that for every and every -free graph with
there is a -blockade in such that for all distinct the pair is either complete or weakly -sparse.
The complement appears because the source proves niceness for through -free graphs. The blockade clause is exactly the local configuration that the second half of the source proof refines into complete or anticomplete blockades.
Small anticonnected components yield a complete blockade
Statement
Let be a graph on vertices, and let be an integer. Suppose every anticonnected component of has size less than . Then contains a complete blockade of length at least and width at least .
Facts & Assumptions
Given: A graph on vertices and an integer such that every anticonnected component of has size less than .
Distinct anticonnected components are complete to one another (Distinct connected components are anticomplete, and distinct anticonnected components are complete).
Proof
Partition the anticonnected components into a minimum number of unions , each of size less than , and order them so that . Since their union has size , one has .
For every , minimality gives ; otherwise these two parts could be merged. The ordering then yields . Thus contain at least nonempty blocks of width at least , and [L1] makes every cross-pair complete. Selecting any of them proves the statement.
A dense bipartite side has a small hitting set
Statement
Let be disjoint nonempty vertex sets in a graph, and let . Assume every vertex of has at least neighbours in . Then there is a set with that meets the neighbourhood in of at least half of the vertices of .
Facts & Assumptions
Given: Disjoint nonempty vertex sets in a graph and a real such that every has at least neighbours in .
If , then every neighbourhood in is hit; otherwise a uniform -subset of misses a fixed -neighbourhood with probability at most .
Proof
If , take and every neighbourhood in is hit. Otherwise let and choose a subset uniformly among all subsets of size . For a fixed vertex , the probability that is at most .
In the first case every vertex of is hit. In the second case the expected number of vertices of whose neighbourhood misses is less than , so some choice of misses fewer than half of . Thus in either case there is a set with that meets the neighbourhood of at least half of the vertices of .
A sparse -free graph has an anticomplete two-blockade
Statement
There exists such that every -sparse -free graph with contains an anticomplete blockade of length and width at least .
Facts & Assumptions
Given: An -sparse -free graph with .
Lemma 4.4 of the cited source proves exactly the displayed conclusion for , using repeated large-component consequences of the failure of the desired anticomplete blockade.
Proof
The cited source lemma assumes the negation of the desired blockade, first obtains a connected component of size at least , and then obtains two further large connected pieces outside successive neighbourhoods.
The source shows that the absence of the blockade then forces five selected vertices to induce , contradicting the hypothesis. Therefore the stated anticomplete two-blockade exists.
A sparse -free graph has a large nearly covered sparse pair
Statement
Let with , and let be a -sparse -free graph with . Suppose that is not -sparse, and that there do not exist disjoint sets such that
and is -sparse to . Then there exist disjoint sets such that:
- and ;
- is -sparse to ; and
- every vertex of has at least neighbours in .
Facts & Assumptions
Given: Parameters and a graph satisfying the displayed hypotheses.
Claim 5.2.1 of the cited source proves exactly the displayed conclusion under these hypotheses after translating notation.
Proof
The cited source claim proves exactly this large nearly covered sparse-pair conclusion after translating notation.
Therefore the present statement follows.
Anticonnected block contraction turns an upside-down comb into a pure blockade
Statement
Let be a -free graph, let be an integer, and let . Suppose
is a -comb in with and for every . Suppose also that there is a vertex
that is complete to and anticomplete to . Then contains a pure -blockade.
Facts & Assumptions
Given: The graph , the integer , the set , the displayed comb, and the vertex satisfying the hypotheses above.
In the displayed comb, is complete to and anticomplete to for , while the blocks are pairwise disjoint and satisfy (Combs in a graph).
A set is an anticonnected component of precisely when it is the vertex set of a connected component of (Anticonnected graphs and anticonnected components).
Distinct anticonnected components of a graph are complete to one another (Distinct connected components are anticomplete, and distinct anticonnected components are complete).
A blockade is pure when every pair of distinct blocks is either complete or anticomplete (Complete, anticomplete, pure, weakly sparse, and -sparse blockades).
The graph has five vertices and four consecutive edges (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
Complementation exchanges edges and nonedges (Graph isomorphisms, automorphisms and graph complements).
Proof
Fix and put . Suppose first that every anticonnected component of has size less than . Partition the anticonnected components into a minimum number of unions , each of size less than , and order them by nondecreasing size. Since the parts cover , one has . Minimality gives for , and hence because . By [L1], the sets are pairwise complete. They therefore form a complete, hence pure, -blockade in . By [F1], , which proves the result in this case.
We may consequently assume that, for every , the graph has an anticonnected component with . Choose one such . Then , giving the required width bound for every chosen component.
Let , and suppose that some is mixed on . The sets of neighbours and nonneighbours of in are both nonempty. Since is connected, some edge of that complement crosses these two sets. Thus there are such that , , and .
Among the five vertices , the nonedges are exactly . Indeed, the hypotheses on determine its four incidences; [F1] determines the incidences from to and to ; and step 3.1 determines the three remaining incidences. Hence those four nonedges form the path , so these vertices induce by [F4] and [F5], contrary to the hypothesis on . Therefore no vertex of is mixed on .
Applying step 4.1 with both orders of shows that no vertex of either set is mixed on the other. If the pair had both an edge and a nonedge, then the vertices of would include one complete to and one anticomplete to ; every endpoint in of the cross-edge would then be mixed on , a contradiction. Thus is pure.
The sets are pairwise disjoint subsets of , have size at least by step 2.1, and every cross-pair is pure by step 5.1. Hence they form the required pure -blockade in .
A sparse -free graph either sparsifies further or yields a pure blockade or a large sparse pair
Statement
Let with , and let be a -sparse -free graph with . Then at least one of the following holds:
- is -sparse;
- there exists an integer and a pure -blockade in ; or
- there are disjoint sets such that , , and is -sparse to .
Facts & Assumptions
Given: Parameters and a graph satisfying the displayed hypotheses.
Lemma 5.2 of the cited source proves exactly the displayed trichotomy under these hypotheses.
Proof
The cited source lemma proves exactly the three displayed alternatives under these hypotheses.
Therefore the present trichotomy holds.
An -sparse blockade iteration yields further sparsification or a pure blockade
Statement
Let . There exist constants and such that the following holds. If is a sparse -free graph and is a maximal -sparse blockade whose last block still has linear size, then either:
- some induced subgraph of is substantially sparser than ; or
- has a pure blockade of polynomial width.
Facts & Assumptions
Given: A sparse -free graph and a maximal -sparse blockade with large last block .
Lemma 5.3 of the cited source proves the stated maximal-blockade alternative with explicit constants, sizes, and exponents.
Proof
The cited source lemma applies the preceding sparse-pair trichotomy to the final block and uses the correctly oriented sparse relations to extend the blockade whenever the sparse-pair outcome occurs.
Maximality excludes that extension, leaving exactly a substantially sparser induced subgraph or a polynomial-width pure blockade.
An iterative sparsification step for sparse -free graphs
Statement
Put . Let , and let be a -sparse -free graph with . Then at least one of the following holds:
- for some , there is a pure in ; or
- for some , there is an -sparse in .
Facts & Assumptions
Given: The constant , a parameter , and a -sparse -free graph with .
Lemma 5.4 of Nguyen, Scott, and Seymour's cited paper gives the displayed two outcomes with these constants and exponents. Its statement prints before is bound; the proof shows that the intended hypothesis is by using it to deduce .
The source proof chooses a minimal threshold , applies its preceding three-outcome sparse-blockade lemma, and rules out the deeper-sparsification branch by minimality. The remaining branches give the pure blockade in outcome 1 or the -sparse blockade in outcome 2.
Proof
Apply the corrected, well-formed reading of the cited source lemma recorded in [F1]. Its two alternatives are exactly outcomes 1 and 2, and [F2] records the minimal-threshold argument establishing them.
Therefore the present statement follows.
-free graphs admit a pure or -sparse polynomial blockade
Statement
There exists such that for every and every -free graph with , there exists an integer and either
- a pure -blockade in ; or
- an -sparse -blockade in .
Facts & Assumptions
Given: After the exponent is chosen below, a parameter and a -free graph with .
Lemma 5.5 of the cited source supplies an exponent such that, under its convention allowing a real blockade-length threshold, there is some and a pure or -sparse -blockade whenever and .
In this library, the first parameter of an -blockade must be a natural number, and the actual length is at least (Blockades, their length, their width, and their support).
Proof
Let be supplied by [L1], and set . Fix and as in the Statement. Since , one has and . Thus [L1] gives a real and a pure or -sparse blockade whose actual length is at least and whose width is at least .
Put . Then is an integer and . The blockade's integral actual length, being at least , is in particular at least , as required by [F2].
Since and , one has . Consequently . The blockade from step 1.1 is therefore a pure or -sparse -blockade in the library's sense.
The chosen satisfies , and steps 1.1--3.1 prove the stated conclusion for every admissible and .
A maximal layout has at most blocks
Statement
Let and . In the counterexample layout construction used for Theorem 6.1 of the cited source, the chosen maximal layout has fewer than blocks; otherwise its blocks already contain the blockade required by that theorem.
Facts & Assumptions
Given: The maximal layout and counterexample hypotheses in the proof of Theorem 6.1 of the cited source.
Claim 6.1.1 of the cited source proves that a chosen layout with at least blocks already satisfies the target blockade conclusion.
Proof
If the chosen layout had at least blocks, [L1] would make its blocks a blockade satisfying the conclusion of the surrounding theorem.
The enclosing counterexample excludes that conclusion, so the layout has fewer than blocks.
Refining the largest layout block forces local blockade length at least
Statement
In the setting of the previous lemma, let be the largest block of the maximal layout. If is refined by a pure or -sparse polynomial blockade, then that local blockade has length at least .
Facts & Assumptions
Given: A maximal layout, its largest block , and a pure or -sparse polynomial blockade inside .
The cited source claim proves that substituting a local blockade of length below into the largest layout block preserves the three defining layout bounds while strictly increasing the number of blocks.
Proof
Suppose the local blockade inside had length . By [L1], substituting its pattern for the layout vertex corresponding to produces another admissible layout with strictly more blocks.
This contradicts the maximal choice of the original layout. Hence the local blockade has length at least .
Local pure or -sparse blockades yield a nice blockade
Statement
Let and , and put . Let be a graph with . Assume that every induced subgraph of with has a pure or -sparse -blockade for some integer . Then has a -blockade whose distinct block pairs are either complete or weakly -sparse.
Facts & Assumptions
Given: The hypotheses in the statement.
Theorem 6.1 of the cited source proves exactly the displayed local-to-global blockade conclusion, with its layout carrying both the block-size power-sum condition and the wrong-pair bound.
Proof
The cited source theorem applies to the hypotheses above and produces a blockade of length at least , width at least , and complete-or-weakly--sparse cross-pairs.
Since blockade length is integral, length at least is equivalent to length at least . This is exactly the stated conclusion.
The five-vertex path is nice
Statement
The graph is nice.
Facts & Assumptions
Given: The five-vertex path .
Every sufficiently large -free graph admits a pure or -sparse polynomial blockade when is below the source threshold (-free graphs admit a pure or -sparse polynomial blockade).
Such local pure or sparse blockades force a nice blockade (Local pure or -sparse blockades yield a nice blockade).
A graph is nice exactly when some exponent makes the conclusion of step 2.1 hold for every sufficiently large -free graph (A nice graph).
Proof
Let be a common exponent large enough to dominate the polynomial width bound in [L1] and the layout theorem [L2]. Fix and a -free graph with , and set . Then . If is an induced subgraph of with , then Therefore [L1] applies to and gives a pure or -sparse -blockade for some .
Applying [L2] to yields an -blockade whose distinct block pairs are either complete or weakly -sparse. By [L3], this is exactly the niceness condition for .
Therefore is nice.
A semisparse blockade can be sampled to anticonnected blocks with nearly pure relations
Statement
There exist constants and such that every sufficiently large sparse -free graph has at least one of the following:
- a complete blockade of linear width; or
- a blockade with , every block of size at least , each anticonnected, and every pair with either complete or weakly -sparse.
Facts & Assumptions
Given: A sufficiently large sparse -free graph .
Claim 7.1.1 of the cited source yields exactly the displayed two-outcome alternative after translating exponents into constants.
Proof
The cited source claim yields exactly this semisparse-blockade or complete-blockade alternative after translating exponents into constants.
Therefore one of the two displayed outcomes holds.
No vertex is mixed on many blocks of a semisparse blockade
Statement
There exist constants and such that the following holds. Let be a sufficiently large -sparse -free graph, and let be a blockade from outcome 2 of A semisparse blockade can be sampled to anticonnected blocks with nearly pure relations. Then at least one of the following holds:
- has a -sparse induced subgraph of linear size; or
- every vertex outside the blockade is mixed on fewer than blocks, where a vertex is mixed on when the pair is mixed in the sense of Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs.
Facts & Assumptions
Given: A graph and a blockade as in the statement.
Claim 7.1.2 of the cited source proves exactly the displayed dichotomy for such semisparse blockades after translating exponents into constants.
Proof
The cited source claim proves exactly this mixed-block dichotomy after translating exponents into constants.
Therefore one of the two displayed outcomes holds.
A sparse -free graph yields deeper sparsification or a complete blockade or a large anticomplete set
Statement
There exists a constant such that, for every and every -sparse -free graph , at least one of the following holds:
- there is a set with such that is -sparse;
- there is a complete in ; or
- there are disjoint sets such that and is anticomplete to .
Facts & Assumptions
Given: A parameter and a -sparse -free graph .
Lemma 7.1 of Nguyen, Scott, and Seymour's cited paper states the displayed trichotomy, with the same constant and the same exponents and blockade parameters.
In the proof of that lemma, Claim 7.1.1 constructs either the complete blockade in outcome 2 or a long semisparse blockade with anticonnected blocks. Claim 7.1.2 shows that a vertex mixed on many of those blocks yields outcome 1; otherwise averaging over the blocks gives a block anticomplete to a set of size at least , which is outcome 3.
Proof
Apply [F1] to the graph in the Given. Its three alternatives are exactly outcomes 1, 2, and 3 in the statement; [F2] records how the semisparse and mixed-block cases in the source proof produce those alternatives.
Therefore the present trichotomy holds.
A sparse -free graph yields a complete or anticomplete blockade or a sparser subgraph
Statement
There exist constants and such that every sufficiently large -sparse -free graph has at least one of the following:
- a complete blockade of polynomial width;
- an anticomplete blockade of polynomial width; or
- a -sparse induced subgraph of linear size.
Facts & Assumptions
Given: A sufficiently large -sparse -free graph .
Lemma 7.2 of the cited source proves the displayed complete-or-anticomplete blockade versus deeper-sparsification alternative with explicit parameters.
Proof
The cited source lemma builds a maximal anticomplete blockade and verifies the size normalization needed before applying the preceding sparse trichotomy inside its last block.
Its three resulting cases are precisely a complete blockade, an anticomplete blockade, or a linearly large induced subgraph with strictly deeper sparsity.
The minimal sparsity parameter drops below the target
Statement
Let . In the minimal-threshold setup of the source, the least sparsity parameter for which a linear-sized -sparse induced subgraph exists satisfies .
Facts & Assumptions
Given: A parameter and a counterexample graph in which is minimal with the stated property.
Claim 7.3.1 of the cited source proves exactly that the minimal parameter in its fully quantified threshold setup satisfies .
Proof
The cited source claim applies the exact sparsity, size, and exponent bounds to the minimal witness and excludes its blockade outcome by the enclosing counterexample hypothesis.
The remaining outcome contradicts minimality unless , which proves the statement.
-free graphs yield a polynomial restricted set or a complete or anticomplete blockade
Statement
There exists such that for every and every -free graph , at least one of the following holds:
- has an -restricted induced subgraph with at least vertices; or
- has a complete or anticomplete -blockade for some integer .
Facts & Assumptions
Given: A parameter and a -free graph .
Lemma 7.3 of the cited source proves exactly the displayed restricted-set or complete/anticomplete-blockade alternative, with explicit constants.
Proof
The cited source lemma runs the minimal-threshold argument with all size and exponent bounds and proves the first alternative whenever the blockade alternative is absent.
Consequently either the stated polynomial restricted set exists or the source's complete/anticomplete polynomial blockade exists, exactly as claimed.
The five-vertex path has the polynomial Rödl property
Statement
The graph has the polynomial Rödl property.
Facts & Assumptions
Given: The graph .
There exists such that every -free graph either has an -restricted induced subgraph of size at least or has a complete or anticomplete -blockade for some (-free graphs yield a polynomial restricted set or a complete or anticomplete blockade).
The blockade alternative alone already forces an -restricted induced subgraph of size at least (Complete or anticomplete blockade hypotheses force an -restricted induced subgraph).
Proof
Let be as in [L1]. Fix and a -free graph . Then is -free. Apply [L1] to every induced subgraph of with . If any such has an -restricted set of size at least , that set has size at least and is also -restricted in .
Otherwise every such has the complete-or-anticomplete blockade supplied by [L1], so the hypothesis of [L2] holds for . Applying [L2] yields an -restricted induced subgraph on at least vertices; the same vertex set is -restricted in .
Therefore has the polynomial Rödl property.
The five-vertex path and its complement have the Erdős-Hajnal property
Statement
Both and have the Erdős-Hajnal property.
Facts & Assumptions
Given: The graph .
The graph has the polynomial Rödl property (The five-vertex path has the polynomial Rödl property).
Every finite family with the polynomial Rödl property has the Erdős-Hajnal property (The polynomial Rödl property implies the Erdős–Hajnal property).
The polynomial Rödl property and the Erdős-Hajnal property are both invariant under complementation of the forbidden graph.
Proof
Applying [L2] to the singleton family and using [L1], we conclude that has the Erdős-Hajnal property.
By [F1], the same holds for .
Therefore both and have the Erdős-Hajnal property.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, discussion before Lemma 3.4
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdős-Hajnal beyond the five-vertex path, niceness discussion
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 4.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 4.2
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 4.4
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 5.2.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 5.2.2
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 5.2
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 5.3
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 5.4
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 5.5
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 6.1.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 6.1.2
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Theorem 6.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 3.4 and Lemma 6.2
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 7.1.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 7.1.2
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 7.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 7.2
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 7.3.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 7.3
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Theorem 1.5
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Theorem 1.2
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdős-Hajnal beyond the five-vertex path, Theorem 1.6