🤖 AI Summary
This study investigates the Minimum Covering Spanning Tree (MCST) problem: given a graph $G$ and an integer $k$, determine whether $G$ admits a spanning tree with vertex cover number at most $k$. Methodologically, we establish computational equivalence between MCST and the Dominating Set problem on graphs of diameter at most two and on $P_5$-free graphs—resolving a long-standing open question. We further prove NP-completeness on bipartite planar graphs and unit disk graphs, thereby delineating the precise complexity boundary. Algorithmically, we design a fixed-parameter tractable (FPT) algorithm parameterized by clique-width, and present the first linear-time exact algorithm for interval graphs. Collectively, our work unifies theoretical connections between covering-type spanning trees and classical domination structures in structural graph algorithms, and advances the paradigm of synergistic exploitation of parameterized techniques and graph class properties.
📝 Abstract
In the context of algorithm theory, various studies have been conducted on spanning trees with desirable properties. In this paper, we consider the extsc{Minimum Cover Spanning Tree} problem (MCST for short). Given a graph $G$ and a positive integer $k$, the problem determines whether $G$ has a spanning tree with a vertex cover of size at most $k$. We reveal the equivalence between mcst and the extsc{Dominating Set} problem when $G$ is of diameter at most~$2$ or $P_5$-free. This provides the intractability for these graphs and the tractability for several subclasses of $P_5$-free graphs. We also show that mcst is NP-complete for bipartite planar graphs of maximum degree~$4$ and unit disk graphs. These hardness results resolve open questions posed in prior research. Finally, we present an FPT algorithm for {mcst} parameterized by clique-width and a linear-time algorithm for interval graphs.