布尔格与线性格之间的LYM不等式关系及其应用

IF 1.3 3区 数学 Q3 MATHEMATICS, APPLIED
Jiuqiang Liu , Guihai Yu
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引用次数: 0

摘要

Sperner理论是极值集理论的一个重要分支。它在运筹学、计算机科学、超图论等领域有着广泛的应用。LYM性质已成为研究Sperner性质的重要工具。本文给出了布尔格与线性格之间LYM不等式的一般关系。作为应用,我们利用这一关系,从布尔格到线性格,导出了一些著名定理的推广,这些定理是关于不包含某个正序集或某个构形的族的最大大小。包括著名的Kleitman定理关于不包含s对不相交成员的族(著名的Erdős匹配猜想的非一致变体)和Johnston-Lu-Milans定理和Polymath定理关于不包含d维布尔代数的族的推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A relationship for LYM inequalities between Boolean lattices and linear lattices with applications
Sperner theory is one of the most important branches in extremal set theory. It has many applications in the field of operation research, computer science, hypergraph theory and so on. The LYM property has become an important tool for studying Sperner property. In this paper, we provide a general relationship for LYM inequalities between Boolean lattices and linear lattices. As applications, we use this relationship to derive generalizations of some well-known theorems on maximum sizes of families containing no copy of certain poset or certain configuration from Boolean lattices to linear lattices, including generalizations of the well-known Kleitman theorem on families containing no s pairwise disjoint members (a non-uniform variant of the famous Erdős matching conjecture) and Johnston-Lu-Milans theorem and Polymath theorem on families containing no d-dimensional Boolean algebras.
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来源期刊
Advances in Applied Mathematics
Advances in Applied Mathematics 数学-应用数学
CiteScore
2.00
自引率
9.10%
发文量
88
审稿时长
85 days
期刊介绍: Interdisciplinary in its coverage, Advances in Applied Mathematics is dedicated to the publication of original and survey articles on rigorous methods and results in applied mathematics. The journal features articles on discrete mathematics, discrete probability theory, theoretical statistics, mathematical biology and bioinformatics, applied commutative algebra and algebraic geometry, convexity theory, experimental mathematics, theoretical computer science, and other areas. Emphasizing papers that represent a substantial mathematical advance in their field, the journal is an excellent source of current information for mathematicians, computer scientists, applied mathematicians, physicists, statisticians, and biologists. Over the past ten years, Advances in Applied Mathematics has published research papers written by many of the foremost mathematicians of our time.
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