Large monochromatic components in expansive hypergraphs
Deepak Bal, Louis DeBiasio

TL;DR
This paper extends Gyárfás' theorem on monochromatic components from complete hypergraphs to expansive hypergraphs, showing similar size bounds and improving bounds in related random hypergraph models.
Contribution
It generalizes a classical result to expansive hypergraphs and provides bounds for large monochromatic components in more general hypergraph classes.
Findings
Largest monochromatic components are similar in size in expansive hypergraphs and complete hypergraphs.
Improved bounds on error terms for random hypergraphs and Steiner systems.
Dual results on maximum degree in hypergraphs with relaxed intersection conditions.
Abstract
A result of Gy\'arf\'as exactly determines the size of a largest monochromatic component in an arbitrary -coloring of the complete -uniform hypergraph when and . We prove a result which says that if one replaces in Gy\'arf\'as' theorem by any ``expansive'' -uniform hypergraph on vertices (that is, a -uniform hypergraph on vertices in which in which for all disjoint sets with for all ), then one gets a largest monochromatic component of essentially the same size (within a small error term depending on and ). As corollaries we recover a number of known results about large monochromatic components in random hypergraphs and random Steiner triple systems, often with drastically improved bounds on the error terms. Gy\'arf\'as' result…
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Taxonomy
TopicsLimits and Structures in Graph Theory
