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The hypergraph regularity method and its applications

机译:超图正则性方法及其应用

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Szemeredi's regularity lemma asserts that every graph can be decomposed into relatively few random-like subgraphs. This random-like behavior enables one to find and enumerate subgraphs of a given isomorphism type, yielding the so-called counting lemma for graphs. The combined application of these two lemmas is known as the regularity method for graphs and has proved useful in graph theory, combinatorial geometry, combinatorial number theory, and theoretical computer science. Here, we report on recent advances in the regularity method for k-uniform hyper-graphs, for arbitrary k ≥ 2. This method, purely combinatorial in nature, gives alternative proofs of density theorems originally due to E. Szemeredi, H. Furstenberg, and Y. Katznelson. Further results in extremal combinato'rics also have been obtained with this approach. The two main components of the regularity method for k-uniform hypergraphs, the regularity lemma and the counting lemma, have been obtained recently: Roedl and Skokan (based on earlier work of Frankl and Roedl) generalized Szemeredi's regularity lemma to k-uniform hypergraphs, and Nagle, Roedl, and Schacht succeeded in proving a counting lemma accompanying the Roedl-Skokan hypergraph regularity lemma. The counting lemma is proved by reducing the counting problem to a simpler one previously investigated by Kohayakawa, Roedl, and Skokan. Similar results were obtained independently by W. T. Gowers, following a different approach.
机译:Szemeredi的正则性引理断言,每个图都可以分解为相对较少的类似随机子图。这种类似随机的行为使人们能够查找和枚举给定同构类型的子图,从而产生图的所谓计数引理。这两个引理的组合应用被称为图的正则性方法,并已证明对图论,组合几何,组合数论和理论计算机科学有用。在这里,我们报告了k均匀超图的正则性方法在任意k≥2方面的最新进展。这种方法本质上纯粹是组合的,它给出了最初由E. Szemeredi,H。Furstenberg,和Y. Katznelson。用这种方法也获得了极端组合的进一步结果。最近已获得了k一致超图的正则性方法的两个主要组成部分:正则引理和计数引理:Roedl和Skokan(基于Frankl和Roedl的早期工作)将Szemeredi的正则性引理广义化为k一致超图, Nagle,Roedl和Schacht成功证明了伴随Roedl-Skokan超图正则性正则引理的计数引理。通过将计数问题简化为Kohayakawa,Roedl和Skokan先前研究过的简单问题,证明了计数引理。 W. T. Gowers采用不同的方法独立获得了相似的结果。

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