
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.
Ramsey numbers, Coloring of graphs and hypergraphs, hypergraphs, colorings, Generalized Ramsey theory, density theorem, Hypergraphs
Ramsey numbers, Coloring of graphs and hypergraphs, hypergraphs, colorings, Generalized Ramsey theory, density theorem, Hypergraphs
| 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). | 11 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
