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A note on random greedy coloring of uniform hypergraphs

Authors: Danila D. Cherkashin; Jakub Kozik;

A note on random greedy coloring of uniform hypergraphs

Abstract

The smallest number of edges forming an n-uniform hypergraph which is not r-colorable is denoted by m(n,r). Erd��s and Lov��sz conjectured that m(n,2)=��(n 2^n)$. The best known lower bound m(n,2)=��(sqrt(n/log(n)) 2^n) was obtained by Radhakrishnan and Srinivasan in 2000. We present a simple proof of their result. The proof is based on analysis of random greedy coloring algorithm investigated by Pluh��r in 2009. The proof method extends to the case of r-coloring, and we show that for any fixed r we have m(n,r)=��((n/log(n))^(1-1/r) r^n) improving the bound of Kostochka from 2004. We also derive analogous bounds on minimum edge degree of an n-uniform hypergraph that is not r-colorable.

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Poland
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Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Randomized algorithms, hypergraph, G.3, G.2.1, G.2.2, Hypergraphs, greedy algorithm, Coloring of graphs and hypergraphs, Graph algorithms (graph-theoretic aspects), G.2.1; G.2.2; G.3, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), 05C15, 05C65, 05D40, coloring, Computer Science - Discrete Mathematics

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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!
32
Top 10%
Top 10%
Top 10%
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bronze