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zbMATH Open
Article . 2020
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SIAM Journal on Discrete Mathematics
Article . 2020 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2018
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Nonintersecting Ryser Hypergraphs

Nonintersecting Ryser hypergraphs
Authors: Bishnoi A.; Pepe V.;

Nonintersecting Ryser Hypergraphs

Abstract

A famous conjecture of Ryser states that every $r$-partite hypergraph has vertex cover number at most $r - 1$ times the matching number. In recent years, hypergraphs meeting this conjectured bound, known as $r$-Ryser hypergraphs, have been studied extensively. It was recently proved by Haxell, Narins and Szab�� that all $3$-Ryser hypergraphs with matching number $��> 1$ are essentially obtained by taking $��$ disjoint copies of intersecting $3$-Ryser hypergraphs. Abu-Khazneh showed that such a characterisation is false for $r = 4$ by giving a computer generated example of a $4$-Ryser hypergraph with $��= 2$ whose vertex set cannot be partitioned into two sets such that we have an intersecting $4$-Ryser hypergraph on each of these parts. Here we construct new infinite families of $r$-Ryser hypergraphs, for any given matching number $��> 1$, that do not contain two vertex disjoint intersecting $r$-Ryser subhypergraphs.

8 pages, some corrections in the proof of Lemma 3.6, added more explanation in the appendix, and other minor changes

Country
Italy
Keywords

Ryser's conjecture, Transversal (matching) theory, FOS: Mathematics, Blocking sets, ovals, \(k\)-arcs, Mathematics - Combinatorics, extremal combinatorics, Combinatorics (math.CO), blocking sets, Blocking sets; Extremal combinatorics; Ryser's conjecture, Hypergraphs

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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
Green
bronze