Optimal Strong Parallel Repetition for Projection Games on Low Threshold Rank Graphs

被引:0
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作者
Tulsiani, Madhur [1 ]
Wright, John [2 ]
Zhou, Yuan [1 ,2 ]
机构
[1] TTI Chicago, Chicago, IL USA
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
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中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Given a two-player one-round game G with value val(G) = (1-eta), how quickly does the value decay under parallel repetition? If G is a projection game, then it is known that we can guarantee val(G(circle times n)) <= (1 -eta(2))(Omega(n)), and that this is optimal. An important question is under what conditions can we guarantee that strong parallel repetition holds, i.e. val(G(circle times)) <= (1 - eta)(Omega(n))? In this work, we show a strong parallel repetition theorem for the case when G's constraint graph has low threshold rank. In particular, for any k >= 2, if sigma(k) is the k-th largest singular value of G's constraint graph, then we show that val(G(circle times n)) <= (1 - root 1-sigma(2)(k) / k .eta)(Omega(n)). This improves and generalizes upon the work of [RR12], who showed a strong parallel repetition theorem for the case when G's constraint graph is an expander.
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页码:1003 / 1014
页数:12
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