On the Complexity of Distance-$d$ Independent Set Reconfiguration
Duc A. Hoang

TL;DR
This paper investigates the computational complexity of reconfiguring distance-$d$ independent sets in graphs, revealing complexity dichotomies based on graph classes and parity of $d$, extending known results for $d=2$.
Contribution
It provides a comprehensive complexity classification for the Distance-$d$ Independent Set Reconfiguration problem on various graph classes for all fixed $d \\geq 3$, including new polynomial-time and PSPACE-complete cases.
Findings
D$d$ISR under TJ is in P for even $d$ on chordal graphs.
D$d$ISR under TJ is PSPACE-complete for odd $d$ on chordal graphs.
Complexity dichotomy on split graphs: PSPACE-complete for $d=2$, P for $d=3$ under TS; P for $d=2$, PSPACE-complete for $d=3$ under TJ.
Abstract
For a fixed positive integer , a distance- independent set (DIS) of a graph is a vertex subset whose distance between any two members is at least . Imagine that there is a token placed on each member of a DIS. Two DISs are adjacent under Token Sliding () if one can be obtained from the other by moving a token from one vertex to one of its unoccupied adjacent vertices. Under Token Jumping (), the target vertex needs not to be adjacent to the original one. The Distance- Independent Set Reconfiguration (DISR) problem under asks if there is a corresponding sequence of adjacent DISs that transforms one given DIS into another. The problem for , also known as the Independent Set Reconfiguration problem, has been well-studied in the literature and its computational complexity on several graph classes…
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Taxonomy
TopicsDNA and Biological Computing · Advanced Graph Theory Research
