Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

From Small Space to Small Width in Resolution

Published: 14 July 2015 Publication History

Abstract

In 2003, Atserias and Dalmau resolved a major open question about the resolution proof system by establishing that the space complexity of a Conjunctive Normal Form (CNF) formula is always an upper bound on the width needed to refute the formula. Their proof is beautiful but uses a nonconstructive argument based on Ehrenfeucht-Fraïssé games. We give an alternative, more explicit, proof that works by simple syntactic manipulations of resolution refutations. As a by-product, we develop a “black-box” technique for proving space lower bounds via a “static” complexity measure that works against any resolution refutation—previous techniques have been inherently adaptive. We conclude by showing that the related question for polynomial calculus (i.e., whether space is an upper bound on degree) seems unlikely to be resolvable by similar methods.

References

[1]
Michael Alekhnovich, Eli Ben-Sasson, Alexander A. Razborov, and Avi Wigderson. 2002. Space complexity in propositional calculus. SIAM J. Comput. 31, 4 (2002), 1184--1211. Preliminary version appeared in STOC’00.
[2]
Albert Atserias and Víctor Dalmau. 2008. A combinatorial characterization of resolution width. J. Comput. System Sci. 74, 3 (May 2008), 323--334. Preliminary version appeared in CCC’03.
[3]
Albert Atserias, Massimo Lauria, and Jakob Nordström. 2014. Narrow proofs may be maximally long. In Proceedings of the 29th Annual IEEE Conference on Computational Complexity (CCC’14). 286--297.
[4]
Paul Beame, Chris Beck, and Russell Impagliazzo. 2012. Time-space tradeoffs in resolution: Superpolynomial lower bounds for superlinear space. In Proceedings of the 44th Annual ACM Symposium on Theory of Computing (STOC’12). 213--232.
[5]
Chris Beck, Jakob Nordström, and Bangsheng Tang. 2013. Some trade-off results for polynomial calculus. In Proceedings of the 45th Annual ACM Symposium on Theory of Computing (STOC’13). 813--822.
[6]
Eli Ben-Sasson. 2009. Size space tradeoffs for resolution. SIAM J. Comput. 38, 6 (May 2009), 2511--2525. Preliminary version appeared in STOC’02.
[7]
Eli Ben-Sasson and Nicola Galesi. 2003. Space complexity of random formulae in resolution. Random Structures and Algorithms 23, 1 (Aug. 2003), 92--109. Preliminary version appeared in CCC’01.
[8]
Eli Ben-Sasson and Jakob Nordström. 2008. Short proofs may be spacious: An optimal separation of space and length in resolution. In Proceedings of the 49th Annual IEEE Symposium on Foundations of Computer Science (FOCS’08). 709--718.
[9]
Eli Ben-Sasson and Jakob Nordström. 2011. Understanding space in proof complexity: Separations and trade-offs via substitutions. In Proceedings of the 2nd Symposium on Innovations in Computer Science (ICS’11). 401--416. Full-length version available at http://eccc.hpi-web.de/report/2010/125/.
[10]
Eli Ben-Sasson and Avi Wigderson. 2001. Short proofs are narrow-Resolution made simple. J. ACM 48, 2 (March 2001), 149--169. Preliminary version appeared in STOC’99.
[11]
Ilario Bonacina and Nicola Galesi. 2013. Pseudo-partitions, transversality and locality: A combinatorial characterization for the space measure in algebraic proof systems. In Proceedings of the 4th Conference on Innovations in Theoretical Computer Science (ITCS’13). 455--472.
[12]
Vašek Chvátal and Endre Szemerédi. 1988. Many hard examples for resolution. J. ACM 35, 4 (Oct. 1988), 759--768.
[13]
Matthew Clegg, Jeffery Edmonds, and Russell Impagliazzo. 1996. Using the Groebner basis algorithm to find proofs of unsatisfiability. In Proceedings of the 28th Annual ACM Symposium on Theory of Computing (STOC’96). 174--183.
[14]
Juan Luis Esteban and Jacobo Torán. 2001. Space bounds for resolution. Information and Computation 171, 1 (2001), 84--97. Preliminary versions of these results appeared in STACS’99 and CSL’99.
[15]
Yuval Filmus, Massimo Lauria, Mladen Mikša, Jakob Nordström, and Marc Vinyals. 2013. Towards an understanding of polynomial calculus: New separations and lower bounds (extended abstract). In Proceedings of the 40th International Colloquium on Automata, Languages and Programming (ICALP’13) Lecture Notes in Computer Science, Vol. 7965. Springer, 437--448.
[16]
Yuval Filmus, Massimo Lauria, Mladen Mikša, Jakob Nordström, and Marc Vinyals. 2014. From small space to small width in resolution. In Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS’14). Leibniz International Proceedings in Informatics, Vol. 25. 300--311.
[17]
Armin Haken. 1985. The intractability of resolution. Theoretical Computer Science 39, 2-3 (Aug. 1985), 297--308.
[18]
Jan Krajíček. 2001. On the weak pigeonhole principle. Fundamenta Mathematicae 170, 1-3 (2001), 123--140.
[19]
Jakob Nordström. 2009. A simplified way of proving trade-off results for resolution. Inform. Process. Lett. 109, 18 (Aug. 2009), 1030--1035. Preliminary version appeared in ECCC report TR07-114, 2007.
[20]
Jakob Nordström. 2013. Pebble games, proof complexity and time-space trade-offs. Log. Meth. Comput. Sci. 9, 3, Article 15 (Sept. 2013), 15:1--15:63.
[21]
Alexander Razborov. 2014. Personal communication.
[22]
Alasdair Urquhart. 1987. Hard examples for resolution. J. ACM 34, 1 (Jan. 1987), 209--219.

Cited By

View all
  • (2023)Space characterizations of complexity measures and size-space trade-offs in propositional proof systemsJournal of Computer and System Sciences10.1016/j.jcss.2023.04.006137(20-36)Online publication date: Dec-2023
  • (2019)Polynomial Calculus Space and Resolution Width2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)10.1109/FOCS.2019.00081(1325-1337)Online publication date: Dec-2019
  • (2019)IndexProof Complexity10.1017/9781108242066.026(510-516)Online publication date: 25-Mar-2019
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Computational Logic
ACM Transactions on Computational Logic  Volume 16, Issue 4
November 2015
273 pages
ISSN:1529-3785
EISSN:1557-945X
DOI:10.1145/2802139
  • Editor:
  • Orna Kupferman
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: 14 July 2015
Accepted: 01 March 2015
Revised: 01 March 2015
Received: 01 June 2014
Published in TOCL Volume 16, Issue 4

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. PCR
  2. Proof complexity
  3. degree
  4. polynomial calculus
  5. polynomial calculus resolution
  6. resolution
  7. space
  8. width

Qualifiers

  • Research-article
  • Research
  • Refereed

Funding Sources

  • the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC
  • Helge Ax:son Johnsons stiftelse
  • the European Union's Seventh Framework Programme (FP7/2007-2013)
  • the foundations Johan och Jakob Söderbergs stiftelse
  • National Science Foundation
  • Stiftelsen Längmanska kulturfonden
  • Swedish Research Council

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)6
  • Downloads (Last 6 weeks)1
Reflects downloads up to 28 Dec 2024

Other Metrics

Citations

Cited By

View all

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media