skip to main content
research-article

Hardness of Approximation for H-free Edge Modification Problems

Published: 06 May 2018 Publication History

Abstract

The H-free Edge Deletion problem asks, for a given graph G and integer k, whether it is possible to delete at most k edges from G to make it H-free—that is, not containing H as an induced subgraph. The H-free Edge Completion problem is defined similarly, but we add edges instead of deleting them. The study of these two problem families has recently been the subject of intensive studies from the point of view of parameterized complexity and kernelization. In particular, it was shown that the problems do not admit polynomial kernels (under plausible complexity assumptions) for almost all graphs H, with several important exceptions occurring when the class of H-free graphs exhibits some structural properties.
In this work, we complement the parameterized study of edge modification problems to H-free graphs by considering their approximability. We prove that whenever H is 3-connected and has at least two nonedges, then both H-free Edge Deletion and H-free Edge Completion are very hard to approximate: they do not admit poly(OPT)-approximation in polynomial time, unless P=NP, or even in time subexponential in OPT, unless the exponential time hypothesis fails. The assumption of the existence of two nonedges appears to be important: we show that whenever H is a complete graph without one edge, then H-free Edge Deletion is tightly connected to the Min Horn Deletion problem, whose approximability is still open. Finally, in an attempt to extend our hardness results beyond 3-connected graphs, we consider the cases of H being a path or a cycle, and we achieve an almost complete dichotomy there.

References

[1]
N. R. Aravind, R. B. Sandeep, and N. Sivadasan. 2017. Dichotomy results on the hardness of H-free edge modification problems. SIAM Journal on Discrete Mathematics 31, 1, 542--561.
[2]
Ivan Bliznets, Marek Cygan, Paweł Komosa, Lukáš Mach, and Michał Pilipczuk. 2016. Lower bounds for the parameterized complexity of minimum fill-in and other completion problems. In Proceedings of the 27th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA’16). 1132--1151.
[3]
Leizhen Cai. 1996. Fixed-parameter tractability of graph modification problems for hereditary properties. Information Processing Letters 58, 4, 171--176.
[4]
Leizhen Cai and Yufei Cai. 2015. Incompressibility of H-free edge modification problems. Algorithmica 71, 3, 731--757.
[5]
Yufei Cai. 2012. Polynomial Kernelisation of H-free edge Modification Problems. Master’s Thesis. Chinese University of Hong Kong.
[6]
Marek Cygan, Marcin Pilipczuk, Michał Pilipczuk, Erik Jan van Leeuwen, and Marcin Wrochna. 2017. Polynomial kernelization for removing induced claws and diamonds. Theory of Computing Systems 60, 4, 615--636.
[7]
Pål Grønås Drange, Fedor V. Fomin, Michał Pilipczuk, and Yngve Villanger. 2015. Exploring the subexponential complexity of completion problems. ACM Transactions on Computation Theory 7, 4, 14:1--14:38.
[8]
Archontia C. Giannopoulou, Daniel Lokshtanov, Saket Saurabh, and Ondrej Suchý. 2016. Tree deletion set has a polynomial kernel but no OPTO(1) approximation. SIAM Journal on Discrete Mathematics 30, 3, 1371--1384.
[9]
Sylvain Guillemot, Frédéric Havet, Christophe Paul, and Anthony Perez. 2013. On the (non-)existence of polynomial kernels for Pell-free edge modification problems. Algorithmica 65, 4, 900--926.
[10]
Russell Impagliazzo and Ramamohan Paturi. 2001. On the complexity of k-SAT. Journal of Computer and System Sciences 62, 2, 367--375.
[11]
Haim Kaplan, Ron Shamir, and Robert Endre Tarjan. 1999. Tractability of parameterized completion problems on chordal, strongly chordal, and proper interval graphs. SIAM Journal on Computing 28, 5, 1906--1922.
[12]
Sanjeev Khanna, Madhu Sudan, Luca Trevisan, and David P. Williamson. 2001. The approximability of constraint satisfaction problems. SIAM Journal on Computing 30, 6, 1863--1920.
[13]
Stefan Kratsch and Magnus Wahlström. 2013. Two edge modification problems without polynomial kernels. Discrete Optimization 10, 3, 193--199.
[14]
Daniel Lokshtanov, Dániel Marx, and Saket Saurabh. 2011. Lower bounds based on the exponential time hypothesis. Bulletin of the EATCS 105, 41--72.
[15]
Assaf Natanzon. 1999. Complexity and Approximation of Some Graph Modification Problems. Master’s Thesis. Department of Computer Science, Tel Aviv University.
[16]
R. B. Sandeep and N. Sivadasan. 2015. Parameterized lower bound and improved kernel for diamond-free edge deletion. In 10th International Symposium on Parameterized and Exact Computation (IPEC 2015). Leibniz International Proceedings in Informatics (LIPIcs), Vol. 43. Schloss Dagstuhl—Leibniz-Zentrum für Informatik, 365--376.

Cited By

View all
  • (2024)Cutting a tree with subgraph complementation is hard, except for some small treesJournal of Graph Theory10.1002/jgt.23112107:1(126-168)Online publication date: 9-May-2024
  • (2023)A survey of parameterized algorithms and the complexity of edge modificationComputer Science Review10.1016/j.cosrev.2023.10055648(100556)Online publication date: May-2023
  • (2022)Cutting a Tree with Subgraph Complementation is Hard, Except for Some Small TreesLATIN 2022: Theoretical Informatics10.1007/978-3-031-20624-5_1(3-19)Online publication date: 7-Nov-2022
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Computation Theory
ACM Transactions on Computation Theory  Volume 10, Issue 2
June 2018
122 pages
ISSN:1942-3454
EISSN:1942-3462
DOI:10.1145/3208321
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2018
Accepted: 01 January 2018
Revised: 01 January 2018
Received: 01 November 2016
Published in TOCT Volume 10, Issue 2

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. H-free graphs
  2. Hardness of approximation
  3. exponential time hypothesis
  4. fixed-parameter tractability
  5. graph modification problems

Qualifiers

  • Research-article
  • Research
  • Refereed

Funding Sources

  • Warsaw Center of Mathematics and Computer Science
  • Polish National Science Centre
  • European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme
  • Government of the Russian Federation
  • Grant of the President of the Russian Federation
  • Foundation for Polish Science (FNP) via the START stipend programme

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)1
Reflects downloads up to 02 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Cutting a tree with subgraph complementation is hard, except for some small treesJournal of Graph Theory10.1002/jgt.23112107:1(126-168)Online publication date: 9-May-2024
  • (2023)A survey of parameterized algorithms and the complexity of edge modificationComputer Science Review10.1016/j.cosrev.2023.10055648(100556)Online publication date: May-2023
  • (2022)Cutting a Tree with Subgraph Complementation is Hard, Except for Some Small TreesLATIN 2022: Theoretical Informatics10.1007/978-3-031-20624-5_1(3-19)Online publication date: 7-Nov-2022
  • (2021)A Polynomial Kernel for Diamond-Free EditingAlgorithmica10.1007/s00453-021-00891-yOnline publication date: 20-Nov-2021
  • (2020)A Survey on Approximation in Parameterized Complexity: Hardness and AlgorithmsAlgorithms10.3390/a1306014613:6(146)Online publication date: 19-Jun-2020
  • (2019)Losing tree-width by separating subsetsProceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms10.5555/3310435.3310539(1731-1749)Online publication date: 6-Jan-2019

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media