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On the Lower Bounds of Random Max 3 and 4-SAT

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Frontiers in Algorithmics (FAW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9711))

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Abstract

A k-CNF formula is said to be p-satisfiable if there exists a truth assignment satisfying a fraction of \(1-2^{-k}+p2^{-k}\) of its clauses. We obtain better lower bounds for random 3 and 4-SAT to be p-satisfiable. The technique we use is a delicate weighting scheme of the second moment method, where for every clause we give appropriate weight to truth assignments according to their number of satisfied literal occurrences.

Partially supported by NSFC 11301091.

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References

  1. Achlioptas, D., Moore, C.: The asymptotic order of the random k-SAT threshold. In: Proceedings of 43rd Annual Symposium on Foundations of Computer Science, pp. 126–127 (2002)

    Google Scholar 

  2. Achlioptas, D., Naor, A., Peres, Y.: On the maximum satisfiability of random formulas. J. Assoc. Comput. Machinary 54(2) (2007)

    Google Scholar 

  3. Achlioptas, D., Peres, Y.: The threshold for random \(k\)-SAT is \(2^k\log 2-O(k)\). J. Am. Math. Soc. 17(4), 947–973 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  4. Borchers, B., Furman, J.: A two-phase exact algorithm for MAX-SAT and weighted MAX-SAT problems. J. Comb. Optim. 2(4), 299–306 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  5. Broder, A.Z., Frieze, A.M., Upfal, E.: On the satisfiability and maximum satisfiability of random 3-CNF formulas. In: Proceedings of 4th Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 322–330 (1993)

    Google Scholar 

  6. Coppersmith, D., Gamarnik, D., Hajiaghayi, M.T., Sorkin, G.B.: Random MAX 2-SAT and MAX CUT. In: 14th Annual ACM-SIAM Symposium on Discrete Algorithms (Baltimore, MD). ACM, New York (2003)

    Google Scholar 

  7. de Bruijn, N.G.: Asymptotic Methods in Analysis, 3rd edn. Dover Publications Inc., New York (1981)

    MATH  Google Scholar 

  8. Fernandez de la Vega, W., Karpinski, M.: \(9/8\)-approximation algorithm for random max 3-sat. Technical Report TR02-070, Electronic Colloquium on Computational Complexity (2002)

    Google Scholar 

  9. Gao, Z., Liu, J., Xu, K.: A novel weighting scheme for random \(k\)-SAT. arXiv:1310.4303

  10. Goemans, M., Williamson, D.: New \(3/4\)-approximation algorithms for the maximum satisfiability problem. SIAM J. Discrete Math. 7, 656–666 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  11. Håstad, J.: Some optimal inapproximability results. J. ACM 48(4), 798–859 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  12. Hirsch, E.A.: A new algorithm for MAX-2-SAT. In: Reichel, H., Tison, S. (eds.) STACS 2000. LNCS, vol. 1770, p. 65. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  13. Vorob’ev, F.Y.: A lower bound for the 4-satisfiability threshold. Discrete Math. Appl. 17(3), 287–294 (2007)

    MathSciNet  MATH  Google Scholar 

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Correspondence to Guangyan Zhou .

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Zhou, G. (2016). On the Lower Bounds of Random Max 3 and 4-SAT. In: Zhu, D., Bereg, S. (eds) Frontiers in Algorithmics. FAW 2016. Lecture Notes in Computer Science(), vol 9711. Springer, Cham. https://doi.org/10.1007/978-3-319-39817-4_26

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  • DOI: https://doi.org/10.1007/978-3-319-39817-4_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39816-7

  • Online ISBN: 978-3-319-39817-4

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