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Article . 1993 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 1993
Data sources: zbMATH Open
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Article . 2020
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Weight functions on the Kneser graph and the solution of an intersection problem of Sali

Authors: Peter Frankl; Norihide Tokushige;

Weight functions on the Kneser graph and the solution of an intersection problem of Sali

Abstract

Let \(X,Y\) be disjoint finite sets. The family \({\mathcal F}=\{(F,G)\} \subset 2^ X \times 2^ Y\) is \((s,t,u)\)-intersecting if every pair \((F,G)\), \((F',G') \in {\mathcal F}\) satisfies \(| F \cap F' | \geq s\), \(| G \cap G' | \geq t\), and \(| F \cap F' |+| G \cap G' | \geq u\). The paper generalizes a result of Sali and gives exact upper bound for the size of \((s,t,s+t+1)\)-intersecting families. The extreme families are in close connection with Katona's theorem on maximal \(s\)- intersecting families. The main tools of this paper are Matsumoto and Tokushige's version of the Kruskal-Katona theorem and a new weight function inequality on Kneser graphs. This last result seems to be interesting in its own right as well.

Keywords

augmenting algorithm, finite sets, weight function, Katona's theorem, Extremal set theory, Kruskal-Katona theorem, intersecting families, Enumerative combinatorics, Kneser graphs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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