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Strong Parallel Repetition Theorem for Free Projection Games

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Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX 2009, RANDOM 2009)

Abstract

The parallel repetition theorem states that for any two provers one round game with value at most 1 − ε (for ε < 1/2), the value of the game repeated n times in parallel is at most (1 − ε 3)Ω(n/logs) where s is the size of the answers set [Raz98],[Hol07]. For Projection Games the bound on the value of the game repeated n times in parallel was improved to (1 − ε 2)Ω(n) [Rao08] and was shown to be tight [Raz08]. In this paper we show that if the questions are taken according to a product distribution then the value of the repeated game is at most (1 − ε 2)Ω(n/logs) and if in addition the game is a Projection Game we obtain a strong parallel repetition theorem, i.e., a bound of (1 − ε)Ω(n).

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References

  1. Alon, N., Klartag, B.: Economical toric spines via cheeger’s inequality (manuscript) (2008)

    Google Scholar 

  2. Arora, S., Khot, S.A., Kolla, A., Steurer, D., Tulsiani, M., Vishnoi, N.K.: Unique games on expanding constraint graphs are easy: extended abstract. In: STOC. ACM, New York (2008), http://doi.acm.org/10.1145/1374376.1374380

    Google Scholar 

  3. Barak, B., Hardt, M., Haviv, I., Rao, A., Regev, O., Steurer, D.: Rounding parallel repetitions of unique games. In: FOCS, pp. 374–383 (2008)

    Google Scholar 

  4. Feige, U., Kindler, G., O’Donnell, R.: Understanding parallel repetition requires understanding foams. In: IEEE Conference on Computational Complexity, pp. 179–192 (2007)

    Google Scholar 

  5. Fortnow, L.J.: Complexity - theoretic aspects of interactive proof systems. Technical Report MIT-LCS//MIT/LCS/TR-447, Department of Mathematics, Massachusetts Institute of Technology (1989)

    Google Scholar 

  6. Feige, U., Verbitsky, O.: Error reduction by parallel repetition—a negative result. Combinatorica 22(4), 461–478 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  7. Holenstein, T.: Parallel repetition: simplifications and the no-signaling case. In: STOC (2007)

    Google Scholar 

  8. Kindler, G., O’Donnell, R., Rao, A., Wigderson, A.: Spherical cubes and rounding in high dimensions. In: FOCS, pp. 189–198 (2008)

    Google Scholar 

  9. Rao, A.: Parallel repetition in projection games and a concentration bound. In: STOC (2008)

    Google Scholar 

  10. Raz, R.: A parallel repetition theorem. SIAM J. Comput. 27(3), 763–803 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  11. Raz, R.: A counterexample to strong parallel repetition. In: FOCS (2008)

    Google Scholar 

  12. Safra, S., Schwartz, O.: On Parallel-Repetition, Unique-Game and Max-Cut (manuscript) (2007)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Barak, B., Rao, A., Raz, R., Rosen, R., Shaltiel, R. (2009). Strong Parallel Repetition Theorem for Free Projection Games. In: Dinur, I., Jansen, K., Naor, J., Rolim, J. (eds) Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. APPROX RANDOM 2009 2009. Lecture Notes in Computer Science, vol 5687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03685-9_27

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  • DOI: https://doi.org/10.1007/978-3-642-03685-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03684-2

  • Online ISBN: 978-3-642-03685-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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