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Discrete Mathematics
Article . 2020 . Peer-reviewed
License: CC BY
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Discrete Mathematics
Article
License: CC BY
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Matchings with few colors in colored complete graphs and hypergraphs

Authors: Gábor N. Sárközy; Gábor N. Sárközy; András Gyárfás;

Matchings with few colors in colored complete graphs and hypergraphs

Abstract

Abstract The t -color Ramsey problem for hypergraph matchings was settled by the well-known result of Alon, Frankl and Lovasz (answering a conjecture of Erdős). This result was the last step in a chain of special cases most notably Lovasz’s solution to Kneser’s problem. We proposed an extension of the Erdős problem: for given 1 ≤ s ≤ t , what is the maximum number of vertices that can be covered by a matching having at most s colors in every t -coloring of the edges of the complete graph K n (or hypergraph K n r ). We revisit the first unknown case, r = 2 , s = 2 , t = 4 , where we conjectured that in every 4-coloring of K n there is a bicolored matching covering at least ⌊ 3 n ∕ 4 ⌋ vertices. We prove that this is true asymptotically by applying a recent twist of a standard application of the Regularity method: instead of lifting a (bicolored) matching of the reduced graph to regular cluster pairs, we lift a (bicolored) basic 2-matching, a subgraph whose connected components are edges and odd cycles. To find the bicolored basic 2-matching with at least ⌊ 3 n ∕ 4 ⌋ vertices in every 4-coloring of K n we use Tutte’s minimax formula.

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citations
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!
4
Top 10%
Average
Average
hybrid