The Complexity of the Empire Colouring Problem
Andrew R. A. McGrae, Michele Zito

TL;DR
This paper studies the computational complexity of the empire colouring problem, providing polynomial-time solutions under certain conditions and proving NP-hardness in various cases for maps with specific graph structures.
Contribution
It offers a complete complexity characterization for empire colouring on trees and partial results for planar graphs, advancing understanding of the problem's computational boundaries.
Findings
Polynomial-time solvability when no induced subgraph of high average degree exists.
NP-hardness for empire colouring on trees when s is between 3 and 2r-1.
NP-hardness for planar graphs with fewer than 7 colours for r=2, and fewer than 6r-3 for r ≥ 3.
Abstract
We investigate the computational complexity of the empire colouring problem (as defined by Percy Heawood in 1890) for maps containing empires formed by exactly countries each. We prove that the problem can be solved in polynomial time using colours on maps whose underlying adjacency graph has no induced subgraph of average degree larger than . However, if , the problem is NP-hard even if the graph is a forest of paths of arbitrary lengths (for any , provided . Furthermore we obtain a complete characterization of the problem's complexity for the case when the input graph is a tree, whereas our result for arbitrary planar graphs fall just short of a similar dichotomy. Specifically, we prove that the empire colouring problem is NP-hard for trees, for any , if (and polynomial time solvable…
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