Component Order Connectivity in Directed Graphs
July 14, 2020 Β· Declared Dead Β· π International Symposium on Parameterized and Exact Computation
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Authors
J. Bang-Jensen, E. Eiben, G. Gutin, M. Wahlstrom, A. Yeo
arXiv ID
2007.06896
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CC
Citations
5
Venue
International Symposium on Parameterized and Exact Computation
Last Checked
4 months ago
Abstract
A directed graph $D$ is semicomplete if for every pair $x,y$ of vertices of $D,$ there is at least one arc between $x$ and $y.$ \viol{Thus, a tournament is a semicomplete digraph.} In the Directed Component Order Connectivity (DCOC) problem, given a digraph $D=(V,A)$ and a pair of natural numbers $k$ and $\ell$, we are to decide whether there is a subset $X$ of $V$ of size $k$ such that the largest strong connectivity component in $D-X$ has at most $\ell$ vertices. Note that DCOC reduces to the Directed Feedback Vertex Set problem for $\ell=1.$ We study parametered complexity of DCOC for general and semicomplete digraphs with the following parameters: $k, \ell,\ell+k$ and $n-\ell$. In particular, we prove that DCOC with parameter $k$ on semicomplete digraphs can be solved in time $O^*(2^{16k})$ but not in time $O^*(2^{o(k)})$ unless the Exponential Time Hypothesis (ETH) fails. \gutin{The upper bound $O^*(2^{16k})$ implies the upper bound $O^*(2^{16(n-\ell)})$ for the parameter $n-\ell.$ We complement the latter by showing that there is no algorithm of time complexity $O^*(2^{o({n-\ell})})$ unless ETH fails.} Finally, we improve \viol{(in dependency on $\ell$)} the upper bound of G{ΓΆ}ke, Marx and Mnich (2019) for the time complexity of DCOC with parameter $\ell+k$ on general digraphs from $O^*(2^{O(k\ell\log (k\ell))})$ to $O^*(2^{O(k\log (k\ell))}).$ Note that Drange, Dregi and van 't Hof (2016) proved that even for the undirected version of DCOC on split graphs there is no algorithm of running time $O^*(2^{o(k\log \ell)})$ unless ETH fails and it is a long-standing problem to decide whether Directed Feedback Vertex Set admits an algorithm of time complexity $O^*(2^{o(k\log k)}).$
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