On the Maximum of the Sum of the Sizes of Non-trivial Cross-Intersecting Families

IF 1 2区 数学 Q1 MATHEMATICS Combinatorica Pub Date : 2023-10-12 DOI:10.1007/s00493-023-00060-5
P. Frankl
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引用次数: 1

Abstract

Let \(n \ge 2k \ge 4\) be integers, \({[n]\atopwithdelims ()k}\) the collection of k-subsets of \([n] = \{1, \ldots , n\}\). Two families \({\mathcal {F}}, {\mathcal {G}} \subset {[n]\atopwithdelims ()k}\) are said to be cross-intersecting if \(F \cap G \ne \emptyset \) for all \(F \in {\mathcal {F}}\) and \(G \in {\mathcal {G}}\). A family is called non-trivial if the intersection of all its members is empty. The best possible bound \(|{\mathcal {F}}| + |{\mathcal {G}}| \le {n \atopwithdelims ()k} - 2 {n - k\atopwithdelims ()k} + {n - 2k \atopwithdelims ()k} + 2\) is established under the assumption that \({\mathcal {F}}\) and \({\mathcal {G}}\) are non-trivial and cross-intersecting. For the proof a strengthened version of the so-called shifting technique is introduced. The most general result is Theorem 4.1.

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关于非平凡相交族大小和的最大值
设\(n\ge 2k\ge 4\)为整数,\({[n]\atowithdelims()k}\)是\([n]=\{1,\ldots,n}\的k个子集的集合。如果所有\(F\in{\mathcal{F}})和\(G\ in{\ mathcal{G})的\(F\cap G\ne\emptyset\),则两个族\({\matical{F}},{\math cal{G}}\子集{[n]\atowithdelims()k}\)被称为交叉。如果一个族的所有成员的交集都是空的,则该族称为非平凡族。最佳可能界\(|{\mathcal{F}}|+|{\ mathcal{G}}|\le{n\atowithdelims(。为了证明,引入了所谓移位技术的强化版本。最普遍的结果是定理4.1。
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来源期刊
Combinatorica
Combinatorica 数学-数学
CiteScore
1.90
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: COMBINATORICA publishes research papers in English in a variety of areas of combinatorics and the theory of computing, with particular emphasis on general techniques and unifying principles. Typical but not exclusive topics covered by COMBINATORICA are - Combinatorial structures (graphs, hypergraphs, matroids, designs, permutation groups). - Combinatorial optimization. - Combinatorial aspects of geometry and number theory. - Algorithms in combinatorics and related fields. - Computational complexity theory. - Randomization and explicit construction in combinatorics and algorithms.
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