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

Lecture Notes in Computer Science(2014)

引用 23|浏览28
暂无评分
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.
更多
查看译文
关键词
Constraint Graph, Partial Assignment, Annual IEEE Symposium, 27th Annual IEEE, Regularity Lemma
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要