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Contributions to Discrete Mathematics
Article . 2021 . Peer-reviewed
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Article . 2021
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https://dx.doi.org/10.11575/cd...
Article . 2021
License: CC BY ND
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Coloring permutation-gain graphs

Authors: Slilaty, Daniel;

Coloring permutation-gain graphs

Abstract

Correspondence colorings of graphs were introduced in 2018 by Dvořák and Postle as a generalization of list colorings of graphs which generalizes ordinary graph coloring. Kim and Ozeki observed that correspondence colorings generalize various notions of signed-graph colorings which again generalizes ordinary graph colorings. In this note we state how correspondence colorings generalize Zaslavsky's notion of gain-graph colorings and then formulate a new coloring theory of permutation-gain graphs that sits between gain-graph coloring and correspondence colorings. Like Zaslavsky's gain-graph coloring, our new notion of coloring permutation-gain graphs has well defined chromatic polynomials and lifts to colorings of the regular covering graph of a permutation-gain graph.

Country
United States
Related Organizations
Keywords

Statistics and Probability, list coloring, Correspondence colorings of graphs, Coloring of graphs and hypergraphs, correspondence coloring, DP-coloring, Applied Statistics, Applied Mathematics, Physical Sciences and Mathematics, Mathematics, planar graphs

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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!
0
Average
Average
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