Mathematical method in extremal graph theory
In mathematics, the hypergraph regularity method is a powerful tool in extremal graph theory that refers to the combined application of the hypergraph regularity lemma and the associated counting lemma. It is a generalization of the graph regularity method, which refers to the use of Szemerédi's regularity and counting lemmas.
Very informally, the hypergraph regularity lemma decomposes any given -uniform hypergraph into a random-like object with bounded parts (with an appropriate boundedness and randomness notions) that is usually easier to work with. On the other hand, the hypergraph counting lemma estimates the number of hypergraphs of a given isomorphism class in some collections of the random-like parts. This is an extension of Szemerédi's regularity lemma that partitions any given graph into bounded number parts such that edges between the parts behave almost randomly. Similarly, the hypergraph counting lemma is a generalization of the graph counting lemma that estimates number of copies of a fixed graph as a subgraph of a larger graph.
There are several distinct formulations of the method, all of which imply the hypergraph removal lemma and a number of other powerful results, such as Szemerédi's theorem, as well as some of its multidimensional extensions. The following formulations are due to V. Rödl, B. Nagle, J. Skokan, M. Schacht, and Y. Kohayakawa,[1] for alternative versions see Tao (2006),[2] and Gowers (2007).[3]
In order to state the hypergraph regularity and counting lemmas formally, we need to define several rather technical terms to formalize appropriate notions of pseudo-randomness (random-likeness) and boundedness, as well as to describe the random-like blocks and partitions.
Notation
- denotes a -uniform clique on vertices.
- is an -partite -graph on vertex partition .
- is the family of all -element vertex sets that span the clique in . In particular, is a complete -partite -graph.
The following defines an important notion of relative density, which roughly describes the fraction of -edges spanned by -edges that are in the hypergraph. For example, when , the quantity is equal to the fraction of triangles formed by 2-edges in the subhypergraph that are 3-edges.
Definition [Relative density]. For , fix some classes of with . Suppose is an integer. Let be a subhypergraph of the induced -partite graph . Define the relative density .
What follows is the appropriate notion of pseudorandomness that the regularity method will use. Informally, by this concept of regularity, -edges () have some control over -edges (). More precisely, this defines a setting where density of edges in large subhypergraphs is roughly the same as one would expect based on the relative density alone. Formally,
Definition [()-regularity]. Suppose are positive real numbers and is an integer. is ()-regular with respect to if for any choice of classes and any collection of subhypergraphs of satisfying we have .
Roughly speaking, the following describes the pseudorandom blocks into which the hypergraph regularity lemma decomposes any large enough hypergraph. In Szemerédi regularity, 2-edges are regularized versus 1-edges (vertices). In this generalized notion, -edges are regularized versus -edges for all . More precisely, this defines a notion of regular hypergraph called -complex, in which existence of -edge implies existence of all underlying -edges, as well as their relative regularity. For example, if is a 3-edge then ,, and are 2-edges in the complex. Moreover, the density of 3-edges over all possible triangles made by 2-edges is roughly the same in every collection of subhypergraphs.
Definition [-regular -complex]. An -complex is a system of -partite graphs satisfying . Given vectors of positive real numbers , , and an integer , we say -complex is -regular if
- For each , is -regular with density .
- For each , is ()-regular with respect to .
The following describes the equitable partition that the hypergraph regularity lemma will induce. A -equitable family of partition is a sequence of partitions of 1-edges (vertices), 2-edges (pairs), 3-edges (triples), etc. This is an important distinction from the partition obtained by Szemerédi's regularity lemma, where only vertices are being partitioned. In fact, Gowers[3] demonstrated that solely vertex partition can not give a sufficiently strong notion of regularity to imply Hypergraph counting lemma.
Definition [-equitable partition]. Let be a real number, be an integer, and , be vectors of positive reals. Let be a vector of positive integers and be an -element vertex set. We say that a family of partitions on is -equitable if it satisfies the following:
- is equitable vertex partition of . That is .
- partitions so that if and then is partitioned into at most parts, all of which are members .
- For all but at most -tuples there is unique -regular -complex such that has as members different partition classes from and .
Finally, the following defines what it means for a -uniform hypergraph to be regular with respect to a partition. In particular, this is the main definition that describes the output of hypergraph regularity lemma below.
Definition [Regularity with respect to a partition]. We say that a -graph is -regular with respect to a family of partitions if all but at most edges of have the property that and if is unique -complex for which , then is regular with respect to .
Hypergraph regularity lemma
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For all positive real , , and functions , for there exists and so that the following holds. For any -uniform hypergraph on vertices, there exists a family of partitions and a vector so that, for and where for all , the following holds.
- is a -equitable family of partitions and for every .
- is regular with respect to .
Hypergraph counting lemma
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For all integers the following holds: and there are integers and so that, with , , and ,
if is a -regular complex with vertex partition and , then
.
The main application through which most others follow is the hypergraph removal lemma, which roughly states that given fixed and large -uniform hypergraphs, if contains few copies of , then one can delete few hyperedges in to eliminate all of the copies of . To state it more formally,
For all and every , there exists and so that the following holds. Suppose is a -uniform hypergraph on vertices and is that on vertices. If contains at most copies of , then one can delete hyperedges in to make it -free.
One of the original motivations for graph regularity method was to prove Szemerédi's theorem, which states that every dense subset of contains an arithmetic progression of arbitrary length. In fact, by a relatively simple application of the triangle removal lemma, one can prove that every dense subset of contains an arithmetic progression of length 3.
The hypergraph regularity method and hypergraph removal lemma can prove high-dimensional and ring analogues of density version of Szemerédi's theorems, originally proved by Furstenberg and Katznelson.[4] In fact, this approach yields first quantitative bounds for the theorems.
This theorem roughly implies that any dense subset of contains any finite pattern of . The case when and the pattern is arithmetic progression of length some length is equivalent to Szemerédi's theorem.
Furstenberg and Katznelson Theorem
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Source:[4]
Let be a finite subset of and let be given. Then there exists a finite subset such that every with contains a homothetic copy of . (i.e. set of form , for some and )
Moreover, if for some , then there exists such that has this property for all .
Another possible generalization that can be proven by the removal lemma is when the dimension is allowed to grow.
Tengan, Tokushige, Rödl, and Schacht Theorem
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Let be a finite ring. For every , there exists such that, for , any subset with contains a coset of an isomorphic copy of (as a left -module).
In other words, there are some such that , where , is an injection.