Abstract
Given a function f:X→Σ, its ℓ-wise direct product is the function F = f ℓ:X ℓ→Σℓ defined by F(x 1,...,x ℓ) = (f(x 1),...,f(x ℓ)). A two prover game G is a game that involves 3 participants: \(V,{\mathcal{A}},\hbox { and }{\mathcal{B}}\). V picks a random pair (x,y) and sends x to \({\mathcal{A}}\), and y to \({\mathcal{B}}\). \({\mathcal{A}}\) responds with f(x), \({\mathcal{B}}\) with g(y). \({\mathcal{A}},{\mathcal{B}}\) win if V(x,y,f(x),g(y)) = 1. The repeated game G ℓ is the game where \({\mathcal{A}},{\mathcal{B}}\) get ℓ questions in a single round and each of them responds with an ℓ symbol string (this is also called the parallel repetition of the game). \({\mathcal{A}},{\mathcal{B}}\) win if they win each of the questions.
In this work we analyze the structure of the provers that win the repeated game with non negligible probability. We would like to deduce that in such a case \({\mathcal{A}},{\mathcal{B}}\) must have a global structure, and in particular they are close to some direct product encoding.
A similar question was studied by the authors and by Impagliazzo et. al. in the context of testing Direct Product. Their result can be be interpreted as follows: For a specific game G, if \({\mathcal{A}},{\mathcal{B}}\) win G ℓ with non negligible probability, then \({\mathcal{A}},{\mathcal{B}}\) must be close to be a direct product encoding. We would like to generalize these results for any 2-prover game.
In this work we prove two main results: In the first part of the work we show that for a certain type of games, there exist \({\mathcal{A}},{\mathcal{B}}\) that win the repeated game with non negligible probability yet are still very far from any Direct Product encoding. In contrast, in the second part of the work we show that for a certain type of games, called “miss match” games, we have the following behavior. Whenever \({\mathcal{A}},{\mathcal{B}}\) win non negligibly then they are both close to a Direct Product strategy.
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References
Ben-Sasson, E., Goldreich, O., Harsha, P., Sudan, M., Vadhan, S.P.: Robust pcps of proximity, shorter pcps, and applications to coding. SIAM J. Comput. 36(4), 889–974 (2006)
Dinur, I., Goldenberg, E.: Locally testing direct product in the low error range. In: FOCS 2008: Proceedings of the 2008 49th Annual IEEE Symposium on Foundations of Computer Science, Washington, DC, USA, pp. 613–622. IEEE Computer Society, Los Alamitos (2008)
Dinur, I., Harsha, P.: Composition of low-error 2-query pcps using decodable pcps. In: FOCS, pp. 472–481 (2009)
Dinur, I., Meir, O.: Derandomized parallel repetition of structured pcps, CoRR abs/1002.1606 (2010)
Dinur, I., Reingold, O.: Assignment testers: Towards a combinatorial proof of the pcp theorem. SIAM J. Comput. 36(4), 975–1024 (2006)
Feige, U., Kilian, J.: Two prover protocols: low error at affordable rates. In: STOC, pp. 172–183 (1994)
Feige, U., Kilian, J.: Impossibility results for recycling random bits in two-prover proof systems. In: STOC, pp. 457–468 (1995)
Goldreich, O., Safra, S.: A combinatorial consistency lemma with application to proving the pcp theorem. SIAM J. Comput. 29(4), 1132–1154 (2000)
Holmerin, J., Khot, S.: A new pcp outer verifier with applications to homogeneous linear equations and max-bisection. In: STOC, pp. 11–20 (2004)
Impagliazzo, R., Kabanets, V., Wigderson, A.: New direct-product testers and 2-query pcps. In: STOC 2009: Proceedings of the 41st Annual ACM Symposium on Theory of Computing, pp. 131–140. ACM, New York (2009)
Raz, R.: A parallel repetition theorem. SIAM Journal on Computing 27, 763–803 (1998)
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Dinur, I., Goldenberg, E. (2010). The Structure of Winning Strategies in Parallel Repetition Games. In: Serna, M., Shaltiel, R., Jansen, K., Rolim, J. (eds) Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. RANDOM APPROX 2010 2010. Lecture Notes in Computer Science, vol 6302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15369-3_39
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DOI: https://doi.org/10.1007/978-3-642-15369-3_39
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