TY - GEN
T1 - Parameterized algorithms on perfect graphs for deletion to (r,ℓ)-Graphs
AU - Kolay, Sudeshna
AU - Panolan, Fahad
AU - Raman, Venkatesh
AU - Saurabh, Saket
N1 - Publisher Copyright:
© Sudeshna Kolay, Fahad Panolan, Venkatesh Raman, and Saket Saurabh.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - For fixed integers r, ℓ ≥ 0, a graph G is called an (r,ℓ)-graph if the vertex set V (G) can be partitioned into r independent sets and ℓ cliques. Such a graph is also said to have cochromatic number r + ℓ. The class of (r, ℓ) graphs generalizes r-colourable graphs (when ℓ = 0) and hence not surprisingly, determining whether a given graph is an (r, ℓ)-graph is NP-hard even when r ≥ 3 or ℓ ≥ 3 in general graphs. When r and ℓ are part of the input, then the recognition problem is NP-hard even if the input graph is a perfect graph (where the Chromatic Number problem is solvable in polynomial time). It is also known to be fixed-parameter tractable (FPT) on perfect graphs when parameterized by r and ℓ. I.e. There is an f(r+ℓ) ·nO(1) algorithm on perfect graphs on n vertices where f is a function of r and ℓ. Observe that such an algorithm is unlikely on general graphs as the problem is NP-hard even for constant r and ℓ. In this paper, we consider the parameterized complexity of the following problem, which we call Vertex Partization. Given a perfect graph G and positive integers r, ℓ, k decide whether there exists a set S ⊆ V (G) of size at most k such that the deletion of S from G results in an (r, ℓ)-graph. This problem generalizes well studied problems such as Vertex Cover (when r = 1 and ℓ = 0), Odd Cycle Transversal (when r = 2, ℓ= 0) and Split Vertex Deletion (when r = 1 = ℓ). 1. Vertex Partization on perfect graphs is FPT when parameterized by k + r + ℓ. 2. The problem, when parameterized by k + r + ℓ, does not admit any polynomial sized kernel, under standard complexity theoretic assumptions. In other words, in polynomial time, the input graph cannot be compressed to an equivalent instance of size polynomial in k + r + ℓ In fact, our result holds even when k = 0. 3. When r, ℓ are universal constants, then Vertex Partization on perfect graphs, parameterized by k, has a polynomial sized kernel.
AB - For fixed integers r, ℓ ≥ 0, a graph G is called an (r,ℓ)-graph if the vertex set V (G) can be partitioned into r independent sets and ℓ cliques. Such a graph is also said to have cochromatic number r + ℓ. The class of (r, ℓ) graphs generalizes r-colourable graphs (when ℓ = 0) and hence not surprisingly, determining whether a given graph is an (r, ℓ)-graph is NP-hard even when r ≥ 3 or ℓ ≥ 3 in general graphs. When r and ℓ are part of the input, then the recognition problem is NP-hard even if the input graph is a perfect graph (where the Chromatic Number problem is solvable in polynomial time). It is also known to be fixed-parameter tractable (FPT) on perfect graphs when parameterized by r and ℓ. I.e. There is an f(r+ℓ) ·nO(1) algorithm on perfect graphs on n vertices where f is a function of r and ℓ. Observe that such an algorithm is unlikely on general graphs as the problem is NP-hard even for constant r and ℓ. In this paper, we consider the parameterized complexity of the following problem, which we call Vertex Partization. Given a perfect graph G and positive integers r, ℓ, k decide whether there exists a set S ⊆ V (G) of size at most k such that the deletion of S from G results in an (r, ℓ)-graph. This problem generalizes well studied problems such as Vertex Cover (when r = 1 and ℓ = 0), Odd Cycle Transversal (when r = 2, ℓ= 0) and Split Vertex Deletion (when r = 1 = ℓ). 1. Vertex Partization on perfect graphs is FPT when parameterized by k + r + ℓ. 2. The problem, when parameterized by k + r + ℓ, does not admit any polynomial sized kernel, under standard complexity theoretic assumptions. In other words, in polynomial time, the input graph cannot be compressed to an equivalent instance of size polynomial in k + r + ℓ In fact, our result holds even when k = 0. 3. When r, ℓ are universal constants, then Vertex Partization on perfect graphs, parameterized by k, has a polynomial sized kernel.
KW - FPT algorithms
KW - Graph deletion
KW - Polynomial kernels
UR - http://www.scopus.com/inward/record.url?scp=85012865684&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.MFCS.2016.75
DO - 10.4230/LIPIcs.MFCS.2016.75
M3 - Conference contribution
AN - SCOPUS:85012865684
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - 41st International Symposium on Mathematical Foundations of Computer Science, MFCS 2016
A2 - Muscholl, Anca
A2 - Faliszewski, Piotr
A2 - Niedermeier, Rolf
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 41st International Symposium on Mathematical Foundations of Computer Science, MFCS 2016
Y2 - 22 August 2016 through 26 August 2016
ER -