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Article . 1996 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 1996
Data sources: zbMATH Open
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Article . 1996
Data sources: DBLP
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Multiplicities of subgraphs

Authors: Chris Jagger; Pavel Stovícek; Andrew Thomason 0001;

Multiplicities of subgraphs

Abstract

To each graph \(H\) on \(n\) vertices we may associate a 2-coloring of the edges of the complete graph \(K_n\) by taking the edges of \(H\) to be one color class and the edges of its complement \(\overline H\) to be the other. Given a coloring \(H\), we define \(c(G; H)\) to be the proportion of the copies of \(G\) in \(K_n\) which are monochromatic and \(c(G; n)\) to be the minimum of \(c(G; H)\) over all colorings \(H\) of \(K_n\). It is not difficult to show that \(c(G; n)\) has a limit as \(n\to \infty\), which we denote by \(c(G)\). The average value of \(c(G; H)\) over all graphs \(H\) is \(2^{1- e(G)}\); hence, \(c(G)\leq 2^{1- e(G)}\). A graph \(G\) is said to be common if the equality holds and uncommon if the strict inequality holds. The authors prove several interesting results about these concepts including Theorem 8: The even wheel \(W_{2k}\) is common for \(k\geq 2\). And their main result is Theorem 12: Every graph containing \(K_4\) is uncommon.

Keywords

Extremal problems in graph theory, common graph, Generalized Ramsey theory, wheel, coloring

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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!
37
Top 10%
Top 10%
Average
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