Tight Bounds for Constant-Round Domination on Graphs of High Girth and Low Expansion
Christoph Lenzen, Sophie Wenning

TL;DR
This paper establishes tight bounds on the number of rounds needed for constant-factor approximation algorithms for dominating sets in high girth, low expansion graphs, revealing fundamental limits of distributed algorithms in this setting.
Contribution
It provides tight bounds on the round complexity for approximating dominating sets in graphs with high girth and low expansion, extending understanding of distributed graph algorithms.
Findings
A $ heta(kf(k))$-approximation is achievable in $k$ rounds.
No $(k-1)$-round algorithm can achieve the same approximation ratio.
In $3k$ rounds, an $O(k+f(k)^{k/(k+1)})$-approximation is possible.
Abstract
A long-standing open question is which graph class is the most general one permitting constant-time constant-factor approximations for dominating sets. The approximation ratio has been bounded by increasingly general parameters such as genus, arboricity, or expansion of the input graph. Amiri and Wiederhake considered -hop domination in graphs of bounded -hop expansion and girth at least ; the -hop expansion of a graph family denotes the maximum ratio of edges to nodes that can be achieved by contracting disjoint subgraphs of radius and deleting nodes. In this setting, these authors to obtain a simple -round algorithm achieving approximation ratio . In this work, we study the same setting but derive tight bounds: - A -approximation is possible in , but not rounds. - In rounds an…
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Taxonomy
TopicsGraph theory and applications · Markov Chains and Monte Carlo Methods · Advanced Graph Theory Research
