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arxiv logo>cs> arXiv:2307.07782
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Computer Science > Computational Complexity

arXiv:2307.07782 (cs)
[Submitted on 15 Jul 2023]

Title:Minimum Separator Reconfiguration

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Abstract:We study the problem of reconfiguring one minimum $s$-$t$-separator $A$ into another minimum $s$-$t$-separator $B$ in some $n$-vertex graph $G$ containing two non-adjacent vertices $s$ and $t$. We consider several variants of the problem as we focus on both the token sliding and token jumping models. Our first contribution is a polynomial-time algorithm that computes (if one exists) a minimum-length sequence of slides transforming $A$ into $B$. We additionally establish that the existence of a sequence of jumps (which need not be of minimum length) can be decided in polynomial time (by an algorithm that also outputs a witnessing sequence when one exists). In contrast, and somewhat surprisingly, we show that deciding if a sequence of at most $\ell$ jumps can transform $A$ into $B$ is an $\textsf{NP}$-complete problem. To complement this negative result, we investigate the parameterized complexity of what we believe to be the two most natural parameterized counterparts of the latter problem; in particular, we study the problem of computing a minimum-length sequence of jumps when parameterized by the size $k$ of the minimum \stseps and when parameterized by the number of jumps $\ell$. For the first parameterization, we show that the problem is fixed-parameter tractable, but does not admit a polynomial kernel unless $\textsf{NP} \subseteq \textsf{coNP/poly}$. We complete the picture by designing a kernel with $\mathcal{O}(\ell^2)$ vertices and edges for the length $\ell$ of the sequence as a parameter.
Comments:37 pages, 9 figures
Subjects:Computational Complexity (cs.CC); Discrete Mathematics (cs.DM); Combinatorics (math.CO)
Cite as:arXiv:2307.07782 [cs.CC]
 (orarXiv:2307.07782v1 [cs.CC] for this version)
 https://doi.org/10.48550/arXiv.2307.07782
arXiv-issued DOI via DataCite

Submission history

From: Clément Legrand-Duchesne [view email]
[v1] Sat, 15 Jul 2023 11:48:36 UTC (43 KB)
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