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Approximate Nonnegative Rank Is Equivalent to the Smooth Rectangle Bound

机译:近似非负秩等于平滑矩形边界

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We consider two known lower bounds on randomized communication complexity: The smooth rectangle bound and the logarithm of the approximate nonnegative rank. Our main result is that they are the same up to a multiplicative constant and a small additive term. The logarithm of the nonnegative rank is known to be a nearly tight lower bound on the deterministic communication complexity. Our result indicates that proving the analogue for the randomized case, namely that the log approximate nonnegative rank is a nearly tight bound on randomized communication complexity, would imply the tightness of the information cost bound. Another corollary of our result is the existence of a boolean function with a quasipolynomial gap between its approximate rank and approximate nonnegative rank.
机译:我们考虑了两个关于随机通信复杂度的已知下限:平滑矩形范围和近似非负秩的对数。我们的主要结果是直到乘法常数和较小的加法项,它们都是相同的。已知非负等级的对数几乎是确定性通信复杂性的下限。我们的结果表明,证明随机情况的相似性,即对数近似非负秩几乎是随机通信复杂性的严格界限,这意味着信息成本界限的严密性。我们的结果的另一个推论是布尔函数的存在,在其近似秩与近似非负秩之间存在拟多项式间隙。

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