Strengthening some complexity results on toughness of graphs
Gyula Y Katona, Kitti Varga

TL;DR
This paper investigates the computational complexity of recognizing graphs with specific toughness properties, establishing coNP-completeness results for various classes and providing polynomial algorithms for certain cases.
Contribution
It extends the understanding of toughness recognition complexity, proving coNP-completeness for bipartite graphs and regular graphs, and offers polynomial algorithms for specific toughness thresholds.
Findings
Recognizing t-tough bipartite graphs is coNP-complete for t ≤ 1.
Deciding whether τ(G)=t is DP-complete.
Polynomial-time recognition for 3-regular graphs with toughness t<2/3.
Abstract
Let be a positive real number. A graph is called -tough if the removal of any vertex set that disconnects the graph leaves at most components. The toughness of a graph is the largest for which the graph is -tough. The main results of this paper are the following. For any positive rational number and for any and integers recognizing -tough bipartite graphs is coNP-complete (the case was already known), and this problem remains coNP-complete for -connected bipartite graphs, and so does the problem of recognizing 1-tough r-regular bipartite graphs. To prove these statements we also deal with other related complexity problems on toughness. % In this paper we prove the following. For any positive rational number , deciding whether is DP-complete and if , this problem remains DP-complete for bipartite…
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Taxonomy
TopicsAdvanced Graph Theory Research · Graph Labeling and Dimension Problems · Limits and Structures in Graph Theory
