Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2591796.2591834acmconferencesArticle/Chapter ViewAbstractPublication PagesstocConference Proceedingsconference-collections
research-article

The matching polytope has exponential extension complexity

Published: 31 May 2014 Publication History

Abstract

A popular method in combinatorial optimization is to express polytopes P, which may potentially have exponentially many facets, as solutions of linear programs that use few extra variables to reduce the number of constraints down to a polynomial. After two decades of standstill, recent years have brought amazing progress in showing lower bounds for the so called extension complexity, which for a polytope P denotes the smallest number of inequalities necessary to describe a higher dimensional polytope Q that can be linearly projected on P.
However, the central question in this field remained wide open: can the perfect matching polytope be written as an LP with polynomially many constraints?
We answer this question negatively. In fact, the extension complexity of the perfect matching polytope in a complete n-node graph is 2Ω(n). By a known reduction this also improves the lower bound on the extension complexity for the TSP polytope from 2Ω(√n) to 2Ω(n).

Supplementary Material

MP4 File (p263-sidebyside.mp4)

References

[1]
{AT13} D. Avis and H. R. Tiwary. On the extension complexity of combinatorial polytopes. In ICALP (1), pages 57--68, 2013.
[2]
{Bal85} E. Balas. Disjunctive programming and a hierarchy of relaxations for discrete optimization problems. SIAM J. Algebraic Discrete Methods, 6(3):466--486, 1985.
[3]
{Bar93} F. Barahona. On cuts and matchings in planar graphs. Mathematical Programming, 60:53--68, 1993. 10.1007/BF01580600.
[4]
{BDP13} J Briët, D. Dadush, and S. Pokutta. On the existence of 0/1 polytopes with high semidefinite extension complexity. In ESA, pages 217--228, 2013.
[5]
{BFPS12} G. Braun, S. Fiorini, S. Pokutta, and D. Steurer. Approximation limits of linear programs (beyond hierarchies). In FOCS, pages 480--489, 2012.
[6]
{BM13} M. Braverman and A. Moitra. An information complexity approach to extended formulations. In STOC, pages 161--170, 2013.
[7]
{BP13} G. Braun and S. Pokutta. Common information and unique disjointness. Electronic Colloquium on Computational Complexity (ECCC), 20:56, 2013.
[8]
{CLRS13} S. O. Chan, J. R. Lee, P. Raghavendra, and D. Steurer. Approximate constraint satisfaction requires large lp relaxations. FOCS'13, 2013.
[9]
{Edm65} J. Edmonds. Maximum matching and a polyhedron with 0, 1-vertices. J. Res. Nat. Bur. Standards Sect. B, 69B:125--130, 1965.
[10]
{Edm71} J. Edmonds. Matroids and the greedy algorithm. Mathematical Programming, 1(1):127--136, 1971.
[11]
{FFGT12} Y. Faenza, S. Fiorini, R. Grappe, and H. R. Tiwary. Extended formulations, nonnegative factorizations, and randomized communication protocols. In ISCO, pages 129--140, 2012.
[12]
{Fio13} S. Fiorini. Personal communication, 2013.
[13]
{FKPT13} S Fiorini, V. Kaibel, K. Pashkovich, and D. O. Theis. Combinatorial bounds on nonnegative rank and extended formulations. Discrete Mathematics, 313(1):67--83, 2013.
[14]
{FMP+12} S. Fiorini, S. Massar, S. Pokutta, H. Tiwary, and R. de Wolf. Linear vs. semidefinite extended formulations: exponential separation and strong lower bounds. pages 95--106, 2012.
[15]
{FRT12} S. Fiorini, T. Rothvos, and H. R. Tiwary. Extended formulations for polygons. Discrete & Computational Geometry, 48(3):658--668, 2012.
[16]
{Ger91} A. M. H. Gerards. Compact systems for t-join and perfect matching polyhedra of graphs with bounded genus. Operations Research Letters, 10(7):377--382, 1991.
[17]
{Goe10} M. Goemans. Smallest compact formulation for the permutahedron. Working paper. http://math.mit.edu/goemans/PAPERS/permutahedron.pdf, 2010.
[18]
{GW95} M. X. Goemans and D. P. Williamson. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming. J. ACM, 42(6):1115--1145, 1995.
[19]
{KPT10} V. Kaibel, K. Pashkovich, and D. O. Theis. Symmetry matters for the sizes of extended formulations. In IPCO, pages 135--148, 2010.
[20]
{Mar91} R. Kipp Martin. Using separation algorithms to generate mixed integer model reformulations. Operations Research Letters, 10(3):119--128, 1991.
[21]
{MU05} M. Mitzenmacher and E. Upfal. Probability and computing - randomized algorithms and probabilistic analysis. Cambridge University Press, 2005.
[22]
{PR82} M. Padberg and M. Rao. Odd minimum cut-sets and b-matchings. Mathematics of Operations Research, pages 7:67--80, 1982.
[23]
{PV13} S. Pokutta and M. Van Vyve. A note on the extension complexity of the knapsack polytope. Oper. Res. Lett., 41(4):347--350, 2013.
[24]
{Raz90} A. Razborov. On the distributional complexity of disjointness. In ICALP, pages 249--253, 1990.
[25]
{Rot12} T. Rothvoss. Some 0/1 polytopes need exponential size extended formulations. Mathematical Programming, pages 1--14, 2012.
[26]
{Sch03} A. Schrijver. Combinatorial optimization. Polyhedra and efficiency. Vol. A,B,C, volume 24 of Algorithms and Combinatorics. Springer-Verlag, Berlin, 2003.
[27]
{VE03} P. Ventura and F. Eisenbrand. A compact linear program for testing optimality of perfect matchings. Oper. Res. Lett., 31(3):429--434, 2003.
[28]
{Yan91} M. Yannakakis. Expressing combinatorial optimization problems by linear programs. Journal of Computer and System Sciences, 43(3):441--466, 1991.

Cited By

View all

Index Terms

  1. The matching polytope has exponential extension complexity

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      STOC '14: Proceedings of the forty-sixth annual ACM symposium on Theory of computing
      May 2014
      984 pages
      ISBN:9781450327107
      DOI:10.1145/2591796
      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 the author(s) 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].

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 31 May 2014

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. combinatorial optimization
      2. linear programming relaxations
      3. polytopes

      Qualifiers

      • Research-article

      Funding Sources

      Conference

      STOC '14
      Sponsor:
      STOC '14: Symposium on Theory of Computing
      May 31 - June 3, 2014
      New York, New York

      Acceptance Rates

      STOC '14 Paper Acceptance Rate 91 of 319 submissions, 29%;
      Overall Acceptance Rate 1,469 of 4,586 submissions, 32%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)5
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 09 Nov 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2022)Guest ColumnACM SIGACT News10.1145/3532737.353274653:1(59-82)Online publication date: 20-Apr-2022
      • (2022)Extended formulations for matroid polytopes through randomized protocolsOperations Research Letters10.1016/j.orl.2022.01.01150:2(145-149)Online publication date: Mar-2022
      • (2021)On Polyhedral Approximations of the Positive Semidefinite ConeMathematics of Operations Research10.1287/moor.2020.107746:4(1479-1489)Online publication date: 1-Nov-2021
      • (2020)Communication Complexity10.1017/9781108671644Online publication date: 30-Jan-2020
      • (2020)Cuts in Undirected Graphs. IICybernetics and Systems Analysis10.1007/s10559-020-00292-z56:5(745-752)Online publication date: 2-Oct-2020
      • (2020)ReferencesInteger Programming10.1002/9781119606475.refs(291-309)Online publication date: 19-Sep-2020
      • (2019)Тропические нижние оценки для расширений многогранников. II. Графы несоответствияTropical lower bounds for extended formulations. II: Deficiency graphs of matricesИзвестия Российской академии наук. Серия математическаяIzvestiya Rossiiskoi Akademii Nauk. Seriya Matematicheskaya10.4213/im869883:1(203-216)Online publication date: 2019
      • (2019)From Duels to Battlefields: Computing Equilibria of Blotto and Other GamesMathematics of Operations Research10.1287/moor.2018.0971Online publication date: 31-May-2019
      • (2019)Representations of Monotone Boolean Functions by Linear ProgramsACM Transactions on Computation Theory10.1145/333778711:4(1-31)Online publication date: 20-Jul-2019
      • (2019)A Parametrized Analysis of Algorithms on Hierarchical GraphsInternational Journal of Foundations of Computer Science10.1142/S012905411940025230:06n07(979-1003)Online publication date: 19-Sep-2019
      • Show More Cited By

      View Options

      Get Access

      Login options

      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