Abstract
A vertex subset of a graph is called a -path vertex cover if every path on vertices in contains at least one vertex from . The \textsc{-Path Vertex Cover Reconfiguration (-PVCR)} problem asks if one can transform one -path vertex cover into another via a sequence of -path vertex covers where each intermediate member is obtained from its predecessor by applying a given reconfiguration rule exactly once. We investigate the computational complexity of \textsc{-PVCR} from the viewpoint of graph classes under the well-known reconfiguration rules: , , and . The problem for , known as the \textsc{Vertex Cover Reconfiguration (VCR)} problem, has been well-studied in the literature. We show that certain known hardness results for \textsc{VCR} on different graph classes including planar graphs, bounded bandwidth graphs, chordal graphs, and bipartite graphs, can be extended for \textsc{-PVCR}. In particular, we prove a complexity dichotomy for \textsc{-PVCR} on general graphs: on those whose maximum degree is (and even planar), the problem is -complete, while on those whose maximum degree is (i.e., paths and cycles), the problem can be solved in polynomial time. Additionally, we also design polynomial-time algorithms for \textsc{-PVCR} on trees under each of and . Moreover, on paths, cycles, and trees, we describe how one can construct a reconfiguration sequence between two given -path vertex covers in a yes-instance. In particular, on paths, our constructed reconfiguration sequence is shortest.
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