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The Quarterly Journal of Mathematics
Article . 1993 . Peer-reviewed
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ON k-LOCAL AND k-MEAN COLORINGS OF GRAPHS AND HYPERGRAPHS

On \(k\)-local and \(k\)-mean colorings of graphs and hypergraphs
Authors: Caro, Yair; Tuza, Zsolt;

ON k-LOCAL AND k-MEAN COLORINGS OF GRAPHS AND HYPERGRAPHS

Abstract

In the paper, \(k\)-local and \(k\)-mean colorings of graphs and hypergraphs are studied. Given an edge-coloring \(f\) and a vertex \(v\), \(\alpha_ f(v)\) denotes the number of distinct colors that appear on the edges incident with \(v\). A coloring \(f\) is \(k\)-local if for every vertex \(v\), \(\alpha_ f(v) \leq k\). A coloring \(f\) is \(k\)-mean if \((1/n) \sum_ v \alpha_ f(v) \leq k\), where \(n\) is the number of vertices in a graph (hypergraph). The paper contains several Ramsey-type results on colorings of both types. In particular, the density theorem is proved for \(k\)-mean colorings. It says that in each \(k\)-mean coloring of a graph with average degree at least \(d\), there is a monochromatic subgraph with the average degree at least \(d/k\). Ramsey numbers of complete graphs for 2-local and 2-mean colorings are studied. In some cases, exact results are obtained. Relations between \(k\)-mean Ramsey numbers and classical Ramsey numbers are also studied.

Keywords

Ramsey numbers, Coloring of graphs and hypergraphs, hypergraphs, colorings, Generalized Ramsey theory, density theorem, 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!
11
Average
Top 10%
Average
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