Abstract:We study the computational complexity of two well-known graph transversal problems, namely Subset Feedback Vertex Set and Subset Odd Cycle Transversal, by restricting the input to Hfree graphs, that is, to graphs that do not contain some xed graph H as an induced subgraph. By combining known and new results, we determine the computational complexity of both problems on H-free graphs for every graph H except when H = sP1 + P4 for some s ≥ 1. As part of our approach, we introduce the Subset Vertex Cover problem … Show more
“…We now mention the polynomial-time results on H-free graphs for the unweighted subset variants of the problems (which do not imply anything for the weighted subset versions). It is known that Subset Odd Cycle Transversal is polynomial-time solvable on (sP 1 + P 3 )free graphs for every integer s ≥ 0 [6] and on P 4 -free graphs [6]. In Section 6 we show that the latter result can be generalized to the weighted variant in a straightforward way.…”
Section: Past Resultsmentioning
confidence: 86%
“…There is no linear forest H for which Feedback Vertex Set on H-free graphs is known to be NP-complete, but for Odd Cycle Transversal we can take H = P 2 + P 5 or H = P 6 , as the latter problem is NP-complete even for (P 2 + P 5 , P 6 )-free graphs [12]. It is known that Subset Feedback Vertex Set [14] and Subset Odd Cycle Transversal [6], which are the special cases with w ≡ 1, are NP-complete for 2P 2 -free graphs; in fact, these results were proved for split graphs which form a proper subclass of 2P 2 -free graphs. Papadopoulos and Tzimas [28] proved the following interesting dichotomy, which motivated our research.…”
Section: Past Resultsmentioning
confidence: 99%
“…We make use of an algorithm that decides the problem on P 4 -free graphs. It can be shown that Weighted Subset Odd Cycle Transversal is polynomial-time solvable for P 4free graphs by an obvious adaptation of the proof of the unweighted variant of Subset Odd Cycle Transversal from [6]. However, we remark that, as is the case for Weighted Subset Feedback Vertex Set discussed in Section 1, the result also follows from a metatheorem of Courcelle et al [11] that shows that on graph classes of bounded clique-width, certain optimization problems have linear time algorithms.…”
Section: Auxiliary Resultsmentioning
confidence: 99%
“…We need a result on this problem for P 4 -free graphs, which can be proven in the same way as the unweighted variant of Subset Vertex Cover in [6]. Alternatively, the property that a subset of vertices S is an T -vertex cover in a graph G = (V, E) for some given set T ⊆ V can be expressed in MSO 1 monadic second-order logic (with S as the only free monadic variable) and we can use the meta-theorem of Courcelle et al [11] again.…”
Section: Weighted Subset Vertex Covermentioning
confidence: 99%
“…In the remaining case H is a linear forest. If H contains an induced 2P 2 , then we use a result of [6], which states that Subset Odd Cycle Transversal is NP-complete for split graphs, or equivalently, (C 4 , C 5 , 2P 2 )-free graphs. If H contains an induced 5P 1 , then we use Theorem 6.…”
“…We now mention the polynomial-time results on H-free graphs for the unweighted subset variants of the problems (which do not imply anything for the weighted subset versions). It is known that Subset Odd Cycle Transversal is polynomial-time solvable on (sP 1 + P 3 )free graphs for every integer s ≥ 0 [6] and on P 4 -free graphs [6]. In Section 6 we show that the latter result can be generalized to the weighted variant in a straightforward way.…”
Section: Past Resultsmentioning
confidence: 86%
“…There is no linear forest H for which Feedback Vertex Set on H-free graphs is known to be NP-complete, but for Odd Cycle Transversal we can take H = P 2 + P 5 or H = P 6 , as the latter problem is NP-complete even for (P 2 + P 5 , P 6 )-free graphs [12]. It is known that Subset Feedback Vertex Set [14] and Subset Odd Cycle Transversal [6], which are the special cases with w ≡ 1, are NP-complete for 2P 2 -free graphs; in fact, these results were proved for split graphs which form a proper subclass of 2P 2 -free graphs. Papadopoulos and Tzimas [28] proved the following interesting dichotomy, which motivated our research.…”
Section: Past Resultsmentioning
confidence: 99%
“…We make use of an algorithm that decides the problem on P 4 -free graphs. It can be shown that Weighted Subset Odd Cycle Transversal is polynomial-time solvable for P 4free graphs by an obvious adaptation of the proof of the unweighted variant of Subset Odd Cycle Transversal from [6]. However, we remark that, as is the case for Weighted Subset Feedback Vertex Set discussed in Section 1, the result also follows from a metatheorem of Courcelle et al [11] that shows that on graph classes of bounded clique-width, certain optimization problems have linear time algorithms.…”
Section: Auxiliary Resultsmentioning
confidence: 99%
“…We need a result on this problem for P 4 -free graphs, which can be proven in the same way as the unweighted variant of Subset Vertex Cover in [6]. Alternatively, the property that a subset of vertices S is an T -vertex cover in a graph G = (V, E) for some given set T ⊆ V can be expressed in MSO 1 monadic second-order logic (with S as the only free monadic variable) and we can use the meta-theorem of Courcelle et al [11] again.…”
Section: Weighted Subset Vertex Covermentioning
confidence: 99%
“…In the remaining case H is a linear forest. If H contains an induced 2P 2 , then we use a result of [6], which states that Subset Odd Cycle Transversal is NP-complete for split graphs, or equivalently, (C 4 , C 5 , 2P 2 )-free graphs. If H contains an induced 5P 1 , then we use Theorem 6.…”
Chordal graphs are characterized as the intersection graphs of subtrees in a tree and such a representation is known as the tree model. Restricting the characterization results in well-known subclasses of chordal graphs such as interval graphs or split graphs. A typical example of a problem that does not behave computationally the same in all subclasses of chordal graphs is the Subset Feedback Vertex Set (SFVS) problem: given a vertex-weighted graph $$G=(V,E)$$
G
=
(
V
,
E
)
and a set $$S\subseteq V$$
S
⊆
V
, we seek for a vertex set of minimum weight that intersects all cycles containing a vertex of S. SFVS is known to be polynomial-time solvable on interval graphs, whereas SFVS remains np-complete on split graphs and, consequently, on chordal graphs. Towards a better understanding of the complexity of SFVS on subclasses of chordal graphs, we exploit structural properties of a tree model in order to cope with the hardness of SFVS. Here we consider the leafage, which measures the minimum number of leaves in a tree model. We show that SFVS can be solved in polynomial time for every chordal graph with bounded leafage. In particular, given a chordal graph on n vertices with leafage $$\ell $$
ℓ
, we provide an algorithm for solving SFVS with running time $$n^{O(\ell )}$$
n
O
(
ℓ
)
, thus improving upon $$n^{O(\ell ^2)}$$
n
O
(
ℓ
2
)
, which is the running time of an approach that utilizes the previously known algorithm for graphs with bounded mim-width. We complement our result by showing that SFVS is w[1]-hard parameterized by $$\ell $$
ℓ
. Pushing further our positive result, it is natural to also consider the vertex leafage, which measures the minimum upper bound on the number of leaves of every subtree in a tree model. However, we show that it is unlikely to obtain a similar result, as we prove that SFVS remains np-complete on undirected path graphs, i.e., chordal graphs having vertex leafage at most two. Lastly, we provide a polynomial-time algorithm for solving SFVS on rooted path graphs, a proper subclass of undirected path graphs and graphs with mim-width one, which is faster than the approach of constructing a graph decomposition of mim-width one and applying the previously known algorithm for graphs with bounded mim-width.
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