The Complexity of Distance-$r$ 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 .
Keywords
Cite
@article{arxiv.2310.00241,
title = {The Complexity of Distance-$r$ Dominating Set Reconfiguration},
author = {Niranka Banerjee and Duc A. Hoang},
journal= {arXiv preprint arXiv:2310.00241},
year = {2026}
}
Comments
27 pages, 10 figures, v3: minor revision of v2, to appear in Journal of Combinatorial Optimization