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On Unique Games with Negative Weights

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Combinatorial Optimization and Applications (COCOA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6831))

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Abstract

In this paper, the authors define Generalized Unique Game Problem (GUGP), where weights of the edges are allowed to be negative. Focuses are made on two special types of GUGP, GUGP-NWA, where the weights of all edges are negative, and GUGP-PWT(ρ), where the total weight of all edges are positive and the negative/positive ratio is at most ρ. The authors investigate the counterpart of the Unique Game Conjecture on GUGP-PWT(ρ). The authors prove Unique Game Conjecture holds true on GUGP-PWT(1) by reducing the parallel repetition of Max 3-Cut Problem to GUGP-PWT(1), and Unique Game Conjecture holds true on GUGP-PWT(1/2) if the 2-to-1 Conjecture holds true. The authors pose an open problem whether Unique Game Conjecture holds true on GUGP-PWT(ρ) with 0 < ρ < 1.

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References

  1. Khot, S.: On the power of unique 2-prover 1-round games. In: 34th Annual ACM Symposium on Theory of Computing, pp. 767–775 (2002)

    Google Scholar 

  2. Rao, A.: Parallel repitition in projection games and a concentration bound. In: 38th Annual ACM Symposium on Theory of Computing, pp. 1–10 (2008)

    Google Scholar 

  3. Khot, S., Kindler, G., Mossel, E., O’Donnell, R.: Optimal inapproximability results for Max-Cut and other 2-variable CSPs? In: 45th Annual IEEE Symposium on Foundations of Computer Science, pp. 146–154 (2004)

    Google Scholar 

  4. O’Donnell, R., Wu, Y.: Conditional Hardness for satisfiabl CSPs. In: 39th Annual ACM Symposium on Theory of Computing, pp. 493–502 (2009)

    Google Scholar 

  5. Dinur, I., Mossel, E., Regev, O.: Conditional hardness for approximate coloring. In: 38th Annual ACM Symposium on Theory of Computing, pp. 344–353 (2006)

    Google Scholar 

  6. Guruswami, V., Sinop, A.K.: Improved Inapproximability Results for Maximum k-Colorable Subgraph. In: 12th International Workshop and 13th International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, pp. 163–176 (2009)

    Google Scholar 

  7. Khot, S.: Hardness results for coloring 3-colorable 3-uniform hypergraphs. In: 43th Annual IEEE Symposium on Foundations of Computer Science, pp. 23–32 (2002)

    Google Scholar 

  8. Holmerin, J., Khot, S.: A new PCP outer verifier with applications to homogeneous linear equations and max-bisction. In: 38th Annual ACM Symposium on Theory of Computing, pp. 11–20 (2006)

    Google Scholar 

  9. Khot, S., Saket, R.: On hardness of learning intersections of two halfspaces. In: 40th Annual ACM Symposium on Theory of Computing, pp. 345–354 (2008)

    Google Scholar 

  10. Guruswami, V., Raghavendra, P., Saket, R., Wu, Y.: Bypassing UGC from some optimal geometric inapproximability results. Electronic Colloquium on Computational Complexity, TR10-177 (2010)

    Google Scholar 

  11. Petrank, E.: The hardness of approximation: gap location. Computational Complexity 4, 133–157 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  12. Raz, R.: A parallel repitition theorem. SIAM Journal on Computing 27, 763–803 (1998)

    Article  MathSciNet  MATH  Google Scholar 

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Cui, P., Liu, T., Xu, K. (2011). On Unique Games with Negative Weights. In: Wang, W., Zhu, X., Du, DZ. (eds) Combinatorial Optimization and Applications. COCOA 2011. Lecture Notes in Computer Science, vol 6831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22616-8_37

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  • DOI: https://doi.org/10.1007/978-3-642-22616-8_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22615-1

  • Online ISBN: 978-3-642-22616-8

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