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Monochromatic Clique Decompositions of Graphs

Monochromatic clique decompositions of graphs
Authors: Henry Liu; Oleg Pikhurko; Teresa Sousa;
APC: 3,070.37 EUR

Monochromatic Clique Decompositions of Graphs

Abstract

AbstractLet G be a graph whose edges are colored with k colors, and be a k‐tuple of graphs. A monochromatic ‐decomposition of G is a partition of the edge set of G such that each part is either a single edge or forms a monochromatic copy of in color i, for some . Let be the smallest number ϕ, such that, for every order‐n graph and every k‐edge‐coloring, there is a monochromatic ‐decomposition with at most ϕ elements. Extending the previous results of Liu and Sousa [Monochromatic ‐decompositions of graphs, J Graph Theory 76 (2014), 89–100], we solve this problem when each graph in is a clique and is sufficiently large.

Keywords

Ramsey number, monochromatic graph decomposition, Turán number, Articles, Coloring of graphs and hypergraphs, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), QA, 05C35

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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!
1
Average
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Average
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