License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2018.29
URN: urn:nbn:de:0030-drops-85027
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8502/
Eiben, Eduard ;
Kumar, Mithilesh ;
Mouawad, Amer E. ;
Panolan, Fahad ;
Siebertz, Sebastian
Lossy Kernels for Connected Dominating Set on Sparse Graphs
Abstract
For alpha > 1, an alpha-approximate (bi-)kernel for a problem Q is a polynomial-time algorithm that takes as input an instance (I, k) of Q and outputs an instance (I',k') (of a problem Q') of size bounded by a function of k such that, for every c >= 1, a c-approximate solution for the new instance can be turned into a (c alpha)-approximate solution of the original instance in polynomial time. This framework of lossy kernelization was recently introduced by Lokshtanov et al. We study Connected Dominating Set (and its distance-r variant) parameterized by solution size on sparse graph classes like biclique-free graphs, classes of bounded expansion, and nowhere dense classes. We prove that for every alpha > 1, Connected Dominating Set admits a polynomial-size alpha-approximate (bi-)kernel on all the aforementioned classes. Our results are in sharp contrast to the kernelization complexity of Connected Dominating Set, which is known to not admit a polynomial kernel even on 2-degenerate graphs and graphs of bounded expansion, unless NP \subseteq coNP/poly. We complement our results by the following conditional lower bound. We show that if a class C is somewhere dense and closed under taking subgraphs, then for some value of r \in N there cannot exist an alpha-approximate bi-kernel for the (Connected) Distance-r Dominating Set problem on C for any alpha > 1 (assuming the Gap Exponential Time Hypothesis).
BibTeX - Entry
@InProceedings{eiben_et_al:LIPIcs:2018:8502,
author = {Eduard Eiben and Mithilesh Kumar and Amer E. Mouawad and Fahad Panolan and Sebastian Siebertz},
title = {{Lossy Kernels for Connected Dominating Set on Sparse Graphs}},
booktitle = {35th Symposium on Theoretical Aspects of Computer Science (STACS 2018)},
pages = {29:1--29:15},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-062-0},
ISSN = {1868-8969},
year = {2018},
volume = {96},
editor = {Rolf Niedermeier and Brigitte Vall{\'e}e},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/8502},
URN = {urn:nbn:de:0030-drops-85027},
doi = {10.4230/LIPIcs.STACS.2018.29},
annote = {Keywords: Lossy Kernelization, Connected Dominating Set, Sparse Graph Classes}
}
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Keywords: |
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Lossy Kernelization, Connected Dominating Set, Sparse Graph Classes |
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Collection: |
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35th Symposium on Theoretical Aspects of Computer Science (STACS 2018) |
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Issue Date: |
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2018 |
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Date of publication: |
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27.02.2018 |
