Essentially Tight Kernels for (Weakly) Closed Graphs
-
Published:2023-01-09
Issue:6
Volume:85
Page:1706-1735
-
ISSN:0178-4617
-
Container-title:Algorithmica
-
language:en
-
Short-container-title:Algorithmica
Author:
Koana TomohiroORCID, Komusiewicz ChristianORCID, Sommer FrankORCID
Abstract
AbstractWe study kernelization of classic hard graph problems when the input graphs fulfill triadic closure properties. More precisely, we consider the recently introduced parameters closure number c and weak closure number $$\gamma $$
γ
(Fox et al. SIAM J Comput 49(2):448–464, 2020) in addition to the standard parameter solution size k. The weak closure number $$\gamma $$
γ
of a graph is upper-bounded by the minimum of its closure number c and its degeneracy d. For Capacitated Vertex Cover, Connected Vertex Cover, and Induced Matching we obtain the first kernels of size $$k^{\mathcal {O}(\gamma )}$$
k
O
(
γ
)
, $$k^{\mathcal {O}(\gamma )}$$
k
O
(
γ
)
, and $$(\gamma k)^{\mathcal {O}(\gamma )}$$
(
γ
k
)
O
(
γ
)
, respectively. This extends previous results on the kernelization of these problems on degenerate graphs. These kernels are essentially tight as these problems are unlikely to admit kernels of size $$k^{o(\gamma )}$$
k
o
(
γ
)
by previous results on their kernelization complexity on degenerate graphs (Cygan et al. ACM Trans Algorithms 13(3):43:1–43:22, 2017). For Capacitated Vertex Cover, we show that even a kernel of size $$k^{o(c)}$$
k
o
(
c
)
is unlikely. In contrast, for Connected Vertex Cover, we obtain a kernel with $$\mathcal {O}(ck^2)$$
O
(
c
k
2
)
vertices. Moreover, we prove that searching for an induced subgraph of order at least k belonging to a hereditary graph class $$\mathcal {G}$$
G
admits a kernel of size $$k^{\mathcal {O}(\gamma )}$$
k
O
(
γ
)
when $$\mathcal {G}$$
G
contains all complete and all edgeless graphs. Finally, we provide lower bounds for the kernelization of Independent Set on graphs with constant closure number c and kernels for Dominating Set on weakly closed split graphs and weakly closed bipartite graphs.
Funder
Deutsche Forschungsgemeinschaft
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,General Computer Science
Reference27 articles.
1. Behera, B., Husić, E., Jain, S., Roughgarden, T., Seshadhri, C.: FPT algorithms for finding near-cliques in $$c$$-closed graphs. In Proceedings of the 13th Innovations in Theoretical Computer Science Conference (ITCS 22), volume 215 of LIPIcs, pp 17:1–17:24. Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2022) 2. Berman, P., Karpinski, M., Scott, A.D.: Approximation hardness of short symmetric instances of MAX-3SAT. Electronic Colloquium on Computational Complexity (ECCC), 049 (2003) 3. Bodlaender, H.L., Downey, R.G., Fellows, M.R., Hermelin, D.: On problems without polynomial kernels. J. Comput. Syst. Sci. 75(8), 423–434 (2009) 4. Cygan, M., Fomin, F.V., Kowalik, L., Lokshtanov, D., Marx, D., Pilipczuk, M., Saurabh, S.: Parameterized Algorithms. Springer, Heidelberg (2015) 5. Cygan, M., Grandoni, F., Hermelin, D.: Tight Kernel bounds for problems on graphs with small degeneracy. ACM Trans. Algorithms 13(3), 1–22 (2017)
|
|