The Complexity of Distance-$r$ Dominating Set Reconfiguration
Niranka Banerjee, Duc A. Hoang

TL;DR
This paper investigates the computational complexity of reconfiguring distance-$r$ dominating sets in graphs for various reconfiguration rules and graph classes, revealing a complexity dichotomy and providing efficient algorithms for some cases.
Contribution
It establishes a complexity dichotomy for the D$r$DS reconfiguration problem, showing polynomial-time solvability for $r \\geq 2$ on split graphs and trees, and PSPACE-completeness on certain planar and bipartite graphs.
Findings
D$r$DSR is in P for $r \\geq 2$ on split graphs.
A linear-time algorithm for D$r$DSR under TJ on trees.
PSPACE-completeness results extend to $r \\geq 2$ on bipartite and chordal graphs.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
