Skip to main content

Symmetry Matters for the Sizes of Extended Formulations

  • Conference paper
Integer Programming and Combinatorial Optimization (IPCO 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6080))

  • 1996 Accesses

Abstract

In 1991, Yannakakis [17] proved that no symmetric extended formulation for the matching polytope of the complete graph K n with n nodes has a number of variables and constraints that is bounded subexponentially in n. Here, symmetric means that the formulation remains invariant under all permutations of the nodes of K n . It was also conjectured in [17] that “asymmetry does not help much,” but no corresponding result for general extended formulations has been found so far. In this paper we show that for the polytopes associated with the matchings in K n with \(\lfloor\log n\rfloor\) edges there are non-symmetric extended formulations of polynomial size, while nevertheless no symmetric extended formulation of polynomial size exists. We furthermore prove similar statements for the polytopes associated with cycles of length \(\lfloor\log n\rfloor\). Thus, with respect to the question for smallest possible extended formulations, in general symmetry requirements may matter a lot.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Alon, N., Yuster, R., Zwick, U.: Color-coding. J. Assoc. Comput. Mach. 42(4), 844–856 (1995)

    MATH  MathSciNet  Google Scholar 

  2. Balas, E.: Disjunctive programming and a hierarchy of relaxations for discrete optimization problems. SIAM J. Algebraic Discrete Methods 6(3), 466–486 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  3. Bochert, A.: Ueber die Zahl der verschiedenen Werthe, die eine Function gegebener Buchstaben durch Vertauschung derselben erlangen kann. Math. Ann. 33(4), 584–590 (1889)

    Article  MathSciNet  Google Scholar 

  4. Bruglieri, M., Ehrgott, M., Hamacher, H.W., Maffioli, F.: An annotated bibliography of combinatorial optimization problems with fixed cardinality constraints. Discrete Appl. Math. 154(9), 1344–1357 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  5. Conforti, M., Cornuéjols, G., Zambelli, G.: Extended formulations in combinatorial optimization. Tech. Rep., Università di Padova (2009)

    Google Scholar 

  6. Edmonds, J.: Maximum matching and a polyhedron with 0,1-vertices. J. Res. Nat. Bur. Standards Sect. B 69B, 125–130 (1965)

    MathSciNet  Google Scholar 

  7. Edmonds, J.: Matroids and the greedy algorithm. Math. Programming 1, 127–136 (1971)

    Article  MATH  MathSciNet  Google Scholar 

  8. Fredman, M.L., Komlós, J., Szemerédi, E.: Storing a sparse table with O(1) worst case access time. J. Assoc. Comput. Mach. 31(3), 538–544 (1984)

    MATH  MathSciNet  Google Scholar 

  9. Goemans, M.: Smallest compact formulation for the permutahedron, http://www-math.mit.edu/~goemans/publ.html

  10. Held, M., Karp, R.M.: A dynamic programming approach to sequencing problems. J. Soc. Indust. Appl. Math. 10, 196–210 (1962)

    Article  MATH  MathSciNet  Google Scholar 

  11. Kaibel, V., Loos, A.: Branched polyhedral systems. In: Eisenbrand, F., Shepherd, B. (eds.) IPCO 2010. LNCS, vol. 6080, pp. 177–190. Springer, Heidelberg (2010)

    Google Scholar 

  12. Kaibel, V., Pashkovich, K., Theis, D.O.: Symmetry matters for the sizes of extended formulations. arXiv:0911.3712v1 [math.CO]

    Google Scholar 

  13. Kipp Martin, R.: Using separation algorithms to generate mixed integer model reformulations. Tech. Rep., University of Chicago (1987)

    Google Scholar 

  14. Pashkovich, K.: Tight lower bounds on the sizes of symmetric extensions of permutahedra and similar results (in preparation)

    Google Scholar 

  15. Schmidt, J.P., Siegel, A.: The spatial complexity of oblivious k-probe hash functions. SIAM J. Comput. 19(5), 775–786 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  16. Wielandt, H.: Finite permutation groups. Translated from the German by Bercov, R. Academic Press, New York (1964)

    Google Scholar 

  17. Yannakakis, M.: Expressing combinatorial optimization problems by linear programs. J. Comput. System Sci. 43(3), 441–466 (1991)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kaibel, V., Pashkovich, K., Theis, D.O. (2010). Symmetry Matters for the Sizes of Extended Formulations. In: Eisenbrand, F., Shepherd, F.B. (eds) Integer Programming and Combinatorial Optimization. IPCO 2010. Lecture Notes in Computer Science, vol 6080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13036-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13036-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13035-9

  • Online ISBN: 978-3-642-13036-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics