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Generalized Niceness and Reduction Outcomes
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
- Iterative Restriction and Comb-Extraction Lemmas
- Leaf Reducibility and Wonderful Families
- 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
- 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 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 follows the Section 3 reduction route recorded in the batch-15 scaffold. It first defines generalized niceness, then isolates the blockade thinning and anticonnected-blockade bridge steps that turn the generalized-nice blockade outcome into either a complete blockade or a wonderful blockade with small support.
The second half packages the three reduction layers used in the source: the four-outcome reduction from a single restricted graph, the three-outcome reduction after the almost-pure-pair extraction, and the final iterative restricted-sparsification step that pushes a constant restriction scale down to an arbitrary target scale.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Generalized nice finite graph families
Definition
Let be a finite family of finite graphs, and write
for the family of complements (Graph isomorphisms, automorphisms and graph complements).
We say that is generalized nice if there exist real constants
such that for every -free graph (-free and -free graphs under the induced-subgraph convention) and every , at least one of the following holds:
- has an -blockade (Blockades, their length, their width, and their support) whose distinct block pairs are either complete or weakly -sparse (Sparsity of one vertex set to another, and weak sparsity of a pair);
- has a clique or stable set of size at least (Cliques, stable sets, the clique number and stability number );
- has a complete or anticomplete -blockade with ; or
- has an -restricted induced subgraph of size at least (-sparse, -dense and -restricted vertex sets).
This is the Section 3 replacement for the earlier "nice" condition: the first alternative still produces a long blockade, but the other three alternatives already package the three reduction outcomes that will be iterated later on the page.
A complete-or-weakly-sparse blockade can be thinned to equal subblocks with directional sparsity
Statement
Let , let , and let
be a blockade in a graph with and width at least . Assume that every distinct pair is either complete or weakly -sparse. Then there is a subblockade
such that:
- and for every ;
- if is complete, then is complete; and
- if is weakly -sparse, then is -sparse to and is -sparse to .
Facts & Assumptions
Given: The blockade with , width at least , and the complete or weakly -sparse hypothesis on each distinct pair of blocks.
A weakly -sparse ordered pair satisfies by definition (Sparsity of one vertex set to another, and weak sparsity of a pair).
A complete pair stays complete after passing to subsets (Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs).
Expectation is linear for finite families of random variables, without an independence hypothesis (Expectation is linear for every finite family of random variables, without any independence hypothesis).
The probability of a finite union of events is at most the sum of their probabilities (The finite union bound).
Proof
Proof technique: use finite averaging to choose equal ambient blocks with controlled edge counts, then delete vertices that are too heavy against the chosen ambient blocks.
Put and . Since every is an integer at least , one has . Choose independently and uniformly an -element subset for each . For a weakly -sparse pair , finite double counting and [L3] give Consequently the probability that is less than : on that event the nonnegative edge count already exceeds the threshold, so its expectation is greater than the threshold times the event probability. There are at most relevant pairs, and because . By [L4], some simultaneous choice of the therefore satisfies for every weakly sparse pair. Complete pairs remain complete by [L2]. Fix such a choice.
We choose successively, always requiring and . Suppose that have already been chosen. For each with weakly -sparse, let consist of the vertices having more than neighbours in when , or more than neighbours in when . In either case step 1.1 gives so . Since , the union of the forbidden sets has fewer than vertices and therefore at most vertices. Thus at least vertices survive: indeed and . Choose to be any survivors.
Let be weakly -sparse, and assume . When was chosen, the index was still future, so every vertex of has at most neighbours in , hence at most that many in . When was chosen, every vertex of was required to have at most neighbours in . Since , Therefore is -sparse to and is -sparse to .
If is complete, then is complete by [L2] because and . Together with step 3.1, this proves that has all the required properties. ∎
A complete-or-weakly-sparse blockade yields a complete subblockade or an anticonnected thinning
Statement
Let , let , and let
be a blockade in a graph such that all blocks have the same size and every distinct pair is either complete or mutually -sparse. Then one of the following holds:
- contains a complete -blockade; or
- there exist anticonnected subsets with for all such that every distinct pair is either complete or mutually -sparse.
Facts & Assumptions
Given: The blockade of common block size and the complete or mutually -sparse hypothesis on each distinct pair.
Distinct anticonnected components are complete to one another (Distinct connected components are anticomplete, and distinct anticonnected components are complete).
An anticonnected component is, by definition, an inclusion-maximal anticonnected induced subgraph (Anticonnected graphs and anticonnected components).
Proof
Suppose some block has no anticonnected component of size at least . Partition the anticonnected components of into a minimum number of nonempty unions , each of size less than , ordered so that . Since the unions cover and each has size less than , one has . Minimality implies for every , for otherwise those two unions could be merged. Hence for every , because . Distinct anticonnected components are complete to one another by [L1], so distinct unions of them are also complete to one another. Therefore form a complete -blockade, proving outcome 1.
We may therefore assume that every has an anticonnected component of size at least . By [L2], the complement is connected. Choose a spanning tree of , and repeatedly delete leaves until exactly vertices remain. The remaining tree is connected, so the induced subgraph of on those vertices is connected as well. Calling that vertex set , we have , , and anticonnected.
If is complete, then is complete because and . If is mutually -sparse, every vertex of has at most neighbours in , hence at most neighbours in because ; the same argument with and exchanged gives the reverse direction. Thus every noncomplete pair is mutually -sparse.
Step 1.1 yields outcome 1, while steps 2.1 and 3.1 yield outcome 2. Therefore one of the two stated outcomes holds.
A wonderful anticonnected complete-or-sparse blockade yields a restricted subgraph or a large anticomplete pair
Statement
Let be a wonderful finite family, and let be a witness for wonderfulness. Let and let be a -sparse -free graph. Suppose that
is a blockade in such that:
- ;
- all blocks have the same size ;
- every block is anticonnected;
- every distinct pair is either complete or mutually -sparse;
- the support satisfies .
Then one of the following holds:
- has a -restricted induced subgraph with at least vertices; or
- there exist disjoint sets with , , and anticomplete to .
Facts & Assumptions
Given: The wonderful family , its witness exponent , the parameter , the -sparse graph , and the blockade satisfying hypotheses 1-5.
The definition of wonderfulness applied to yields either a -restricted induced subgraph of size at least , or an index such that at most vertices in have between and neighbours in (Wonderful finite graph families).
A -sparse graph has maximum degree at most on its full vertex set (-sparse, -dense and -restricted vertex sets).
A pair is anticomplete exactly when it has no cross-edges (Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs).
Proof
Proof technique: apply wonderfulness and then count the outside vertices that still see a chosen block.
Apply [L1] to the blockade . If it yields a -restricted induced subgraph on at least vertices, then outcome 1 of the present lemma holds immediately.
We may therefore assume that [L1] yields an index for which at most vertices outside are mixed on . Let be that exceptional set of mixed outside vertices. Every outside vertex with a neighbour in but not in has at least neighbours in . Since every vertex of has total degree at most by [L2], the number of outside vertices with at least neighbours in is at most .
Let be the set of vertices in that have no neighbours in , and let . By step 2.1, . By construction there are no edges between and , so [L3] gives that is anticomplete to . Because all blocks have size , we also have . Thus outcome 2 holds.
Steps 1.1 and 3.1 prove that one of the two stated outcomes must occur.
Generalized niceness yields four reduction outcomes
Statement
Let be a generalized nice, leaf-reducible, wonderful finite family of graphs. Then there exist constants and such that for every and every -restricted -free graph , at least one of the following holds:
- has a clique or stable set of size at least
- has a -restricted induced subgraph with at least vertices;
- has a complete or anticomplete -blockade with ; or
- there exist disjoint sets with and complete or anticomplete to .
Facts & Assumptions
Given: A generalized nice, leaf-reducible, wonderful finite family , a parameter , and a -restricted -free graph .
Generalized niceness supplies constants , , , , and with the four alternatives in Generalized nice finite graph families.
Leaf-reducibility supplies constants and such that every -sparse -free graph yields either a large anticomplete pair or a deeper restricted induced subgraph (Leaf-reducible families yield a large anticomplete pair or a deeper restricted induced subgraph).
Restrictedness is invariant under graph complementation (A set is -sparse in exactly when it is -dense in , so -restrictedness is complement-invariant).
Wonderfulness supplies an exponent as in Wonderful finite graph families.
A complete-or-weakly-sparse blockade can be thinned to equal-sized subblocks with directional sparsity (A complete-or-weakly-sparse blockade can be thinned to equal subblocks with directional sparsity).
Such an equal-sized blockade either contains a complete subblockade or can be thinned further to anticonnected subblocks (A complete-or-weakly-sparse blockade yields a complete subblockade or an anticonnected thinning).
A wonderful anticonnected blockade with small support yields either a -restricted induced subgraph or a large anticomplete pair (A wonderful anticonnected complete-or-sparse blockade yields a restricted subgraph or a large anticomplete pair).
Proof
Fix constants from [L1], [L2], and [L4], and set , , , , and . These choices depend only on .
If , then any one-vertex induced subgraph of is -restricted and has size at least . So outcome 2 holds.
Suppose is -sparse. Apply [L2] to the family inside with the parameter . Either has a -restricted induced subgraph of size at least , or there are disjoint sets with , , and anticomplete to in . By [L3], the restricted induced subgraph is also -restricted in , and the anticomplete pair in is a complete pair in . Since and , this gives outcome 2 or outcome 4 in .
We may therefore assume that itself is -sparse. Put , where is the witness from [L4]. Because is -free, [L1] applies to and . If [L1] produces a clique or stable set of size , then this is exactly outcome 1 by the choice and . If [L1] produces a complete or anticomplete -blockade with , then because , and because , so outcome 3 holds. If [L1] produces an -restricted induced subgraph of size at least , then and , so outcome 2 holds. We are left only with the blockade alternative from [L1].
Thus has a blockade with , each , and every distinct pair complete or weakly -sparse. Apply [L5] to obtain equal-sized subblocks with and every noncomplete pair mutually -sparse. Then apply [L6] to . If [L6] yields a complete -blockade, then , because for and step 1.1 has . Since also , outcome 3 follows.
We may therefore assume [L6] yields anticonnected subsets of common size such that every distinct pair is either complete or mutually -sparse. Because , every noncomplete pair is in fact mutually -sparse. Also , since and . Since step 2.1 fails, , and because with , this gives and hence . Therefore , where . Since , one has . Therefore the hypotheses of [L7] hold for .
Applying [L7] to yields either a -restricted induced subgraph of size at least , giving outcome 2, or disjoint sets with , , and anticomplete to , giving outcome 4.
The cases in steps 2.1, 2.2, 2.3, and 5.1 exhaust all possibilities, so one of the four stated outcomes always holds.
Large almost-pure pair hypotheses yield a complete or anticomplete blockade
Statement
Let , , put , and assume Assume that . Suppose that every induced subgraph of with contains disjoint sets such that
and is complete or anticomplete to . Then contains a complete or anticomplete -blockade.
Facts & Assumptions
Given: The parameters , the graph , and the large almost-pure pair hypothesis on every induced subgraph of size at least .
A pair is pure exactly when it is complete or anticomplete (Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs).
A blockade is an ordered sequence of pairwise disjoint nonempty vertex sets, and its width is the minimum block size (Blockades, their length, their width, and their support).
Proof
Let be maximal such that has a blockade with for all , with , and with the property that for each , either every later block is complete to , or every later block is anticomplete to . This is possible because , so already satisfies the required lower bounds.
Suppose . The bound implies , and the elementary inequality for gives . Hence , so the hypothesis applies to . Choose disjoint with where the last inequality uses , and with , and complete or anticomplete to . Moreover, where the last inequality follows from and . Because , every earlier block has the same pure relation to both and that it had to . Thus is a longer blockade of the same type, contradicting the maximality of . So .
Let be the set of indices such that every later block is complete to , and let be the set of indices such that every later block is anticomplete to . By construction every index lies in , so one of or has size at least .
If , choose indices from in their inherited order. The corresponding blocks form a complete blockade, and every block has size at least by step 1.1. If instead , the same construction with gives an anticomplete blockade. In either case we obtain a complete or anticomplete -blockade.
Therefore the stated blockade exists.
cy-restricted generalized niceness yields three outcomes
Statement
Let be a generalized nice, leaf-reducible, wonderful finite family. Then there exist constants , , and such that for every and every -restricted -free graph , at least one of the following holds:
- has a clique or stable set of size at least
- has a complete or anticomplete -blockade with ; or
- has a -restricted induced subgraph with at least vertices.
Facts & Assumptions
Given: A generalized nice, leaf-reducible, wonderful finite family , a parameter , and a -restricted -free graph .
The previous lemma provides constants and with the four reduction outcomes (Generalized niceness yields four reduction outcomes).
The almost-pure-pair hypothesis yields a complete or anticomplete blockade (Large almost-pure pair hypotheses yield a complete or anticomplete blockade).
If a graph is -restricted on its full vertex set, then every induced subgraph on at least times as many vertices is -restricted (-sparse, -dense and -restricted vertex sets).
Proof
Let be as in [L1], and set , , , , and . Then and .
If , then any one-vertex induced subgraph of is -restricted and has size at least , so outcome 3 holds.
Suppose every induced subgraph of with contains disjoint sets with , , and complete or anticomplete to . Since and , the hypotheses of [L2] are satisfied with and . Therefore [L2] yields a complete or anticomplete -blockade in . Because and , each block has size at least . Hence outcome 2 holds after shrinking to exactly blocks if necessary.
We may therefore choose an induced subgraph of with for which no such almost-pure pair exists. Because is -restricted and , [L3] implies that is -restricted. Apply [L1] to . Its fourth outcome is excluded by the choice of . If [L1] gives a clique or stable set of size at least , then , because . So outcome 1 holds. If [L1] gives a complete or anticomplete blockade with , then , because and . So outcome 2 holds. Finally, if [L1] gives a -restricted induced subgraph of size at least , then , because , and . So outcome 3 holds.
Steps 2.1, 2.2, and 2.3 cover all cases, so one of the three stated outcomes always holds.
Iterated restricted sparsification reaches the target scale
Statement
Let , let , let , and assume
Suppose that and that a graph satisfies:
- has a -restricted induced subgraph with at least vertices; and
- for every and every -restricted induced subgraph of with , there is a -restricted induced subgraph of with at least vertices.
Then contains an -restricted induced subgraph with at least vertices.
Facts & Assumptions
Given: The parameters and the two hypotheses in the statement.
A set is -restricted exactly when it is -sparse or -dense in the induced subgraph on that set (-sparse, -dense and -restricted vertex sets).
Proof
By hypothesis 1, there exists at least one induced subgraph of that is -restricted and has at least vertices. Therefore the set of admissible restriction parameters considered below is nonempty.
For a nonempty induced subgraph of , let be the smallest real number such that is -restricted. Because is finite, [L1] shows that is attained by one of finitely many degree or codegree ratios in . Choose an induced subgraph of for which is minimal subject to . Step 1.1 ensures that such a choice exists and that .
Suppose . Then , so hypothesis 2 applies to and yields a -restricted induced subgraph with , where the last inequality uses . Because is -restricted, its admissible parameter satisfies , while . This contradicts the minimal choice of in step 2.1. Hence .
Since , step 2.1 gives by step 3.1. Therefore , so is -restricted. Its size also satisfies .
The induced subgraph from step 4.1 is the required -restricted induced subgraph.
A large cy-restricted subgraph in the three-outcome theorem forces a smaller-scale restricted subgraph
Statement
Let be a generalized nice, leaf-reducible, wonderful finite family. Assume constants , , and satisfy the conclusion of cy-restricted generalized niceness yields three outcomes for . Let , and let be an -free graph such that:
- has no clique and no stable set of size at least
- for every integer , has no complete or anticomplete -blockade.
Then for every with and every -restricted induced subgraph of with
there is a -restricted induced subgraph of with at least vertices.
Facts & Assumptions
Given: The family , the constants , the parameter , the -free graph , the two global failure hypotheses, a parameter with , and a -restricted induced subgraph with .
The three-outcome theorem applies to every -restricted -free graph with the displayed constants (cy-restricted generalized niceness yields three outcomes).
Every induced subgraph of an -free graph is again -free (-free and -free graphs under the induced-subgraph convention).
Proof
Because and , we have and . Also because . Therefore .
Since is an induced subgraph of the -free graph , [L2] implies that is also -free. Apply [L1] to . If it gives a clique or stable set in of size at least , then by step 1.1 one has , because and . This contradicts global hypothesis 1.
If [L1] gives a complete or anticomplete -blockade in with , then . Using step 1.1 and , one has , since . This contradicts global hypothesis 2.
Therefore only the third outcome of [L1] can occur. So has a -restricted induced subgraph with . Because , one has , so is also -restricted. Since , we also have , hence . This is exactly the claimed smaller-scale restricted induced subgraph.
The claimed induced subgraph exists.
Constant-scale restricted generalized niceness yields an x-scale restricted subgraph, a polynomial clique or stable set, or a blockade
Statement
Let be a generalized nice, leaf-reducible, wonderful finite family. Then there exist constants , , and such that for every and every -restricted -free graph , at least one of the following holds:
- has an -restricted induced subgraph with at least vertices;
- has a clique or stable set of size at least
- has a complete or anticomplete -blockade for some integer .
Facts & Assumptions
Given: A generalized nice, leaf-reducible, wonderful finite family , a parameter , and a -restricted -free graph .
The three-outcome theorem provides constants and (cy-restricted generalized niceness yields three outcomes).
Under the failure of the global clique/stable-set and blockade outcomes, every sufficiently large -restricted induced subgraph contains a smaller scale restricted induced subgraph (A large cy-restricted subgraph in the three-outcome theorem forces a smaller-scale restricted subgraph).
The iterative restricted-sparsification lemma turns a constant-scale restricted starting point plus the smaller-scale hypothesis into an -restricted induced subgraph (Iterated restricted sparsification reaches the target scale).
A -restricted graph is, in particular, a valid starting point for the iterative lemma with starting constant (-sparse, -dense and -restricted vertex sets).
Proof
Let be the constants from [L1], and set , , , , and .
Hypothesis 1 of [L3] is automatic with starting constant : the graph itself is -restricted by assumption, so it has a -restricted induced subgraph of size , and in particular of size at least because and .
Suppose outcomes 2 and 3 fail for the given graph . We will show that outcome 1 must then hold.
Apply [L2] with the constants from step 1.1. It shows that for every with and every -restricted induced subgraph of with , there is a -restricted induced subgraph of with at least vertices. Writing , this is exactly hypothesis 2 of [L3] for every , with the starting constant and the choices , , and from step 1.1.
The inequality required by [L3] holds for these choices, because , using .
Therefore [L3] applies and yields an -restricted induced subgraph of with at least vertices. Since and , we have , so outcome 1 holds.
Outcome 1 follows whenever outcomes 2 and 3 fail. Hence at least one of the three stated outcomes holds for every admissible .
5 · Examples, counterexamples and false statements
None yet.
Sources
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdos-Hajnal beyond the five-vertex path, Section 3
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdos-Hajnal beyond the five-vertex path, Lemma 2.6
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 7.1.1
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdos-Hajnal beyond the five-vertex path, proof of Lemma 3.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Claim 7.1.2
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdos-Hajnal beyond the five-vertex path, Lemma 3.1
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 7.1
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdos-Hajnal beyond the five-vertex path, note after Lemma 2.8
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdos-Hajnal beyond the five-vertex path, Lemma 3.2
- Tung H. Nguyen, Notes on Recent Work on the Erdos-Hajnal Conjecture, Lemma 5.3
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdos-Hajnal beyond the five-vertex path, Claim 3.3.1
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdos-Hajnal beyond the five-vertex path, Lemma 3.3