• DocumentCode
    3242778
  • Title

    Resolution complexity of independent sets in random graphs

  • Author

    Beame, Paul ; Impagliazzo, Russell ; Sabharwal, Ashish

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    52
  • Lastpage
    68
  • Abstract
    We consider the problem of providing a resolution proof of the statement that a given graph with n vertices and Δn edges does not contain an independent set of size k. For randomly chosen graphs with constant Δ, we show that such proofs almost surely require size exponential in n. Further, for Δ=o(n1/5) and any k⩽n/5, we show that these proofs almost surely require size 2(nδ) for some global constant δ>0, even though the largest independent set in graphs with Δ≈n1/5 is much smaller than n/5. Our result shows that almost all instances of the independent set problem are hard for resolution. It also provides a lower bound on the running time of a certain class of search algorithms for finding a largest independent set in a given graph
  • Keywords
    computational complexity; graph theory; random processes; search problems; set theory; theorem proving; edges; global constant; independent sets; random graphs; resolution complexity; resolution proof; running time lower bound; search algorithms; vertices; Computer science; Ear; Encoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 16th Annual IEEE Conference on, 2001.
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7695-1053-1
  • Type

    conf

  • DOI
    10.1109/CCC.2001.933872
  • Filename
    933872