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computational complexity

, Volume 16, Issue 3, pp 245–297 | Cite as

The Resolution Complexity of Independent Sets and Vertex Covers in Random Graphs

  • Paul Beame
  • Russell Impagliazzo
  • Ashish Sabharwal
Article

Abstract.

We consider the problem of providing a resolution proof of the statement that a given graph with n vertices and average degree roughly Δ does not contain an independent set of size k. For randomly chosen graphs and k ≤ n/3, we show that such proofs asymptotically almost surely require size roughly exponential in n6. This, in particular, implies a 2Ω (n) lower bound for constant degree graphs, and for Δ ≈ n 1/6, shows that there are almost always no short resolution proofs for k as large as n/3 even though a maximum independent set is likely to be much smaller, roughly n 5/6 in size. Our result implies that for graphs that are not too dense, almost all instances of the independent set problem are hard for resolution. Further, it provides an unconditional exponential lower bound on the running time of resolution-based search algorithms for finding a maximum independent set or approximating it within a factor of Δ/(6 ln Δ). We also give relatively simple upper bounds for the problem and show them to be tight for the class of exhaustive backtracking algorithms. We deduce similar complexity results for the related vertex cover problem on random graphs, proving, in particular, that no polynomial-time resolution-based method can achieve an approximation within a factor of 3/2.

Keywords.

Resolution proof complexity hardness of approximation independent set vertex cover 

Subject classification.

03F20 68Q17 

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Copyright information

© Birkhaeuser 2007

Authors and Affiliations

  • Paul Beame
    • 1
  • Russell Impagliazzo
    • 2
  • Ashish Sabharwal
    • 1
    • 3
  1. 1.Computer Science and EngineeringUniversity of WashingtonSeattleUSA
  2. 2.Computer Science and EngineeringUniversity of CaliforniaSan Diego, La JollaUSA
  3. 3.Department of Computer ScienceCornell UniversityIthacaUSA

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