Defective and Clustered Choosability of Sparse Graphs
Kevin Hendrey, David R. Wood

TL;DR
This paper advances the understanding of defective and clustered list-colourings in sparse graphs by establishing new bounds on choosability related to maximum average degree, improving previous results and exploring trade-offs between colours and clustering.
Contribution
It provides new bounds for defective and clustered choosability of graphs based on maximum average degree, extending previous work and solving open problems in the field.
Findings
Graphs with certain maximum average degrees are k-choosable with defect d.
Graphs with maximum average degree m are 8-choosable with bounded clustering.
New trade-offs between number of colours and clustering are established.
Abstract
An (improper) graph colouring has "defect" if each monochromatic subgraph has maximum degree at most , and has "clustering" if each monochromatic component has at most vertices. This paper studies defective and clustered list-colourings for graphs with given maximum average degree. We prove that every graph with maximum average degree less than is -choosable with defect . This improves upon a similar result by Havet and Sereni [J. Graph Theory, 2006]. For clustered choosability of graphs with maximum average degree , no bound on the number of colours was previously known. The above result with solves this problem. It implies that every graph with maximum average degree is -choosable with clustering 2. This extends a result of Kopreski and Yu [Discrete Math., 2017] to the setting of…
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