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        <identifier>oai:drops-oai.dagstuhl.de:17128</identifier>
        <datestamp>2024-03-06T10:59:02Z</datestamp>
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          <dc:title>Polynomial Bounds on Parallel Repetition for All 3-Player Games with Binary Inputs</dc:title>
          <dc:creator>Girish, Uma</dc:creator>
          <dc:creator>Mittal, Kunal</dc:creator>
          <dc:creator>Raz, Ran</dc:creator>
          <dc:creator>Zhan, Wei</dc:creator>
          <dc:subject>Parallel repetition</dc:subject>
          <dc:subject>Multi-prover games</dc:subject>
          <dc:subject>Fourier analysis</dc:subject>
          <dc:description>We prove that for every 3-player (3-prover) game G with value less than one, whose query distribution has the support S = {(1,0,0), (0,1,0), (0,0,1)} of Hamming weight one vectors, the value of the n-fold parallel repetition G^{⊗n} decays polynomially fast to zero; that is, there is a constant c = c(G) &gt; 0 such that the value of the game G^{⊗n} is at most n^{-c}.&#13;
Following the recent work of Girish, Holmgren, Mittal, Raz and Zhan (STOC 2022), our result is the missing piece that implies a similar bound for a much more general class of multiplayer games: For every 3-player game G over binary questions and arbitrary answer lengths, with value less than 1, there is a constant c = c(G) &gt; 0 such that the value of the game G^{⊗n} is at most n^{-c}.&#13;
Our proof technique is new and requires many new ideas. For example, we make use of the Level-k inequalities from Boolean Fourier Analysis, which, to the best of our knowledge, have not been explored in this context prior to our work.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Uma Girish and Kunal Mittal and Ran Raz and Wei Zhan</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 245, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2022.6</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-171286</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2022.6</dc:identifier>
          <dc:language>eng</dc:language>
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