English

Simultaneous Feedback Vertex Set: A Parameterized Perspective

Data Structures and Algorithms 2015-10-07 v1

Abstract

Given a family of graphs F\mathcal{F}, a graph GG, and a positive integer kk, the F\mathcal{F}-Deletion problem asks whether we can delete at most kk vertices from GG to obtain a graph in F\mathcal{F}. F\mathcal{F}-Deletion generalizes many classical graph problems such as Vertex Cover, Feedback Vertex Set, and Odd Cycle Transversal. A graph G=(V,i=1αEi)G = (V, \cup_{i=1}^{\alpha} E_{i}), where the edge set of GG is partitioned into α\alpha color classes, is called an α\alpha-edge-colored graph. A natural extension of the F\mathcal{F}-Deletion problem to edge-colored graphs is the α\alpha-Simultaneous F\mathcal{F}-Deletion problem. In the latter problem, we are given an α\alpha-edge-colored graph GG and the goal is to find a set SS of at most kk vertices such that each graph GiSG_i \setminus S, where Gi=(V,Ei)G_i = (V, E_i) and 1iα1 \leq i \leq \alpha, is in F\mathcal{F}. In this work, we study α\alpha-Simultaneous F\mathcal{F}-Deletion for F\mathcal{F} being the family of forests. In other words, we focus on the α\alpha-Simultaneous Feedback Vertex Set (α\alpha-SimFVS) problem. Algorithmically, we show that, like its classical counterpart, α\alpha-SimFVS parameterized by kk is fixed-parameter tractable (FPT) and admits a polynomial kernel, for any fixed constant α\alpha. In particular, we give an algorithm running in 2O(αk)nO(1)2^{O(\alpha k)}n^{O(1)} time and a kernel with O(αk3(α+1))O(\alpha k^{3(\alpha + 1)}) vertices. The running time of our algorithm implies that α\alpha-SimFVS is FPT even when αo(logn)\alpha \in o(\log n). We complement this positive result by showing that for αO(logn)\alpha \in O(\log n), where nn is the number of vertices in the input graph, α\alpha-SimFVS becomes W[1]-hard. Our positive results answer one of the open problems posed by Cai and Ye (MFCS 2014).

Keywords

Cite

@article{arxiv.1510.01557,
  title  = {Simultaneous Feedback Vertex Set: A Parameterized Perspective},
  author = {Akanksha Agrawal and Daniel Lokshtanov and Amer E. Mouawad and Saket Saurabh},
  journal= {arXiv preprint arXiv:1510.01557},
  year   = {2015}
}
R2 v1 2026-06-22T11:13:49.769Z