The Complexity of Distance- Dominating Set Reconfiguration
Abstract: For a fixed integer , a distance- dominating set (DDS) of a graph is a vertex subset such that every vertex in is within distance from some member of . Given two DDSs of , the Distance- Dominating Set Reconfiguration (DDSR) problem asks if there is a sequence of DDSs that transforms into (or vice versa) such that each intermediate member is obtained from its predecessor by applying a given reconfiguration rule exactly once. The problem for has been well-studied in the literature. We consider DDSR for under two well-known reconfiguration rules: Token Jumping (, which involves replacing a member of the current DDS by a non-member) and Token Sliding (, which involves replacing a member of the current DDS by an adjacent non-member). It is known that under any of and , the problem on split graphs is -complete for . We show that for , the problem is in , resulting in an interesting complexity dichotomy. Along the way, we prove some non-trivial bounds on the length of a shortest reconfiguration sequence on split graphs when which may be of independent interest. Additionally, we design a linear-time algorithm under on trees. On the negative side, we show that DDSR for on planar graphs of maximum degree three and bounded bandwidth is -complete, improving the degree bound of previously known results. We also show that the known -completeness results under and for on bipartite graphs and chordal graphs can be extended for .
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