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Discrete Mathematics
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Discrete Mathematics
Article . 1992
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T-colorings of graphs

\(T\)-colorings of graphs
Authors: Daphne Der-Fen Liu;
Abstract

Given a finite set \(T\) of natural numbers containing 0, a \(T\)-coloring of a simple graph \(G=(V(G),E(G))\) is a function \(f\) from the vertex set \(V(G)\) to natural numbers such that \(| f(u)-f(v)|\notin T\) whenever \(\{u,v\}\in E(G)\). The span of a \(T\)-coloring is defined to be the difference between the largest and smallest color used. The \(T\)-span of \(G\), denoted by \(\text{sp}_ T(G)\), is the minimum span among all \(T\)-colorings of \(G\). A graph \(G\) is weakly perfect if the chromatic number \(\chi(G)\) is equal to the clique number \(\omega(G)\). A special graph \(G^ n_ T\) plays an important role in this paper. The vertex set of \(G^ n_ T\) is \(\{0,1,2,\ldots,n-1\}\) and \(\{u,v\}\in E(G^ n_ T)\) if and only if \(| u-v|\notin T\). The main theorem shows that, given \(T\), the following are equivalent: (i) \(\text{sp}_ T(G)=\text{sp}_ T(K_{\chi(G)})\) for all graphs \(G\), (ii) \(\text{sp}_ T(G^ n_ T)=\text{sp}_ T(K_{\chi(G^ n_ T)})\) for all \(n\), (iii) \(G^ n_ T\) is weakly perfect for all \(n\). Using these equivalences, known results about sets \(T\) which satisfy (i) are derived with shorter proofs. New families of sets \(T\) with this property are also constructed. Finally, it is established that \(\text{sp}_ T(G)=\text{sp}_ T(K_ m)=n-1\) for all graphs \(G\) with \(\chi(G)=m\) if and only if \(\omega(G^ n_ T)=\chi(G^ n_ T)=m\) and \(\chi(G_ T^{n-1})<\chi(G^ n_ T)\).

Keywords

Coloring of graphs and hypergraphs, chromatic number, Discrete Mathematics and Combinatorics, Structural characterization of families of graphs, weakly perfect, coloring, clique number, Theoretical Computer Science

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citations
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!
27
Average
Top 10%
Average
hybrid