Abstract

A vertex coloring $\phi$ of a graph $G$ is $p$-centered if for every connected subgraph $H$ of $G$ either $\phi$ uses more than $p$ colors on $H$ or there is a color that appears exactly once on $H$. Centered colorings form one of the families of parameters that allow to capture notions of sparsity of graphs: A class of graphs has bounded expansion if and only if there is a function $f$ such that for every $p\geq1$, every graph in the class admits a $p$-centered coloring using at most $f(p)$ colors. In this paper, we give upper bounds for the maximum number of colors needed in a $p$-centered coloring of graphs from several widely studied graph classes. We show that: (1) planar graphs admit $p$-centered colorings with $O(p^3\log p)$ colors where the previous bound was $O(p^{19})$; (2) bounded degree graphs admit $p$-centered colorings with $O(p)$ colors while it was conjectured that they may require exponential number of colors. All these upper bounds imply polynomial algorithms for computing the colorings. Prior to this work there were no non-trivial lower bounds known. We show that: (4) there are graphs of treewidth $t$ that require $\binom{p+t}{t}$ colors in any $p$-centered coloring. This bound matches the upper bound; (5) there are planar graphs that require $\Omega(p^2\log p)$ colors in any $p$-centered coloring. We also give asymptotically tight bounds for outerplanar graphs and planar graphs of treewidth $3$. We prove our results with various proof techniques. The upper bound for planar graphs involves an application of a recent structure theorem while the upper bound for bounded degree graphs comes from the entropy compression method. We lift the result for bounded degree graphs to graphs avoiding a fixed topological minor using the Grohe-Marx structure theorem.

Highlights

  • Structural graph theory has expanded beyond the study of classes of graphs that exclude a fixed minor

  • At first sight, bounded expansion might seem to be a weak property for a graph class

  • Pilipczuk and Siebertz [21] showed that when C is a class of graphs avoiding a fixed minor, it can be decided whether a given p-vertex graph H is a subgraph of a given n-vertex graph G in C in time 2O(plog p) · nO(1) and space nO(1)

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Summary

Introduction

Structural graph theory has expanded beyond the study of classes of graphs that exclude a fixed minor. At first sight, bounded expansion might seem to be a weak property for a graph class This notion captures enough structure to allow solving a wide range of algorithmic problems efficiently: Dvorák, Král’ and Thomas [5] devised an FPT algorithm for testing first-order definable properties in classes of bounded expansion. One reason that these new notions attracted much attention is the realization that they can be characterized in several, seemingly different ways. Instead of providing the original definition we define bounded expansion in terms of centered chromatic numbers

Centered colorings
Algorithmic applications
Results
Paper Overview
Upper bounds for planar graphs
Upper bound for bounded degree
Upper bound for graphs excluding a fixed topological minor
Upper bounds for graphs of bounded simple treewidth
Proof of the upper bound for outerplanar graphs
Proof of the upper bound for graphs of bounded simple treewidth
Lower bound for graphs of bounded treewidth
Lower bounds for graphs of bounded simple treewidth
Constructing the family of graphs
A clean subgraph of H
Proof of the lower bound for simple treewidth k
Color collecting sub-caterpillars of the master
Further directions
Full Text
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