Twenty years of Nešetřil’s classification programme of Ramsey classes

IF 12.7 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jan Hubička , Matěj Konečný
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引用次数: 0

Abstract

In the 1970s, structural Ramsey theory emerged as a new branch of combinatorics. This development came with the isolation of the concepts of the A-Ramsey property and Ramsey class. Following the influential Nešetřil–Rödl theorem, several Ramsey classes have been identified. In the 1980s, Nešetřil, inspired by a seminar of Lachlan, discovered a crucial connection between Ramsey classes and Fraïssé classes, and, in his 1989 paper, connected the classification programme of homogeneous structures to structural Ramsey theory. In 2005, Kechris, Pestov, and Todorčević revitalized the field by connecting Ramsey classes to topological dynamics. This breakthrough motivated Nešetřil to propose a program for classifying Ramsey classes. We review the progress made on this program in the past two decades, list open problems, and discuss recent extensions to new areas, namely the extension property for partial automorphisms (EPPA), and big Ramsey structures.
20年的Nešetřil拉姆齐类分类计划
20世纪70年代,结构拉姆齐理论作为组合学的一个新分支出现。这种发展伴随着A-Ramsey属性和Ramsey类概念的分离而来。根据有影响力的Nešetřil-Rödl定理,已经确定了几个拉姆齐类。20世纪80年代,Nešetřil受拉克兰研讨会的启发,发现了拉姆齐类与Fraïssé类之间的关键联系,并在其1989年的论文中,将同质结构的分类程序与结构拉姆齐理论联系起来。2005年,Kechris, Pestov和todor eviki通过将Ramsey类与拓扑动力学联系起来,使该领域重新焕发活力。这一突破促使Nešetřil提出了一个分类拉姆齐类的程序。我们回顾了过去二十年来在这方面取得的进展,列出了开放的问题,并讨论了最近的扩展到新的领域,即部分自同构(EPPA)的可拓性质,以及大Ramsey结构。
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来源期刊
Computer Science Review
Computer Science Review Computer Science-General Computer Science
CiteScore
32.70
自引率
0.00%
发文量
26
审稿时长
51 days
期刊介绍: Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.
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