从双源到不可延展性提取器的有效减少:实现近对数最小熵

Avraham Ben-Aroya, Dean Doron, A. Ta-Shma
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引用次数: 22

摘要

Chattopadhyay和Zuckerman(2016)的突破性成果将显式双源提取器的构建简化为显式非延展性提取器的构建。然而,即使假设存在最优显式非可塑提取器,也只能给出多(logn)熵的双源提取器(或拉姆齐图),而不是最优的O(logn)。本文对结构进行了改进,以解决上述障碍。使用目前最好的显式非延展性提取器,我们得到了一个显式二部拉姆齐图,对于大小为2k的集合,k=O(logn loglogn)。在非延展性萃取剂结构上的任何进一步改进都将立即产生相应的双源萃取剂。直观地说,Chattopadhyay和Zuckerman使用一个提取器作为采样器,我们观察到可以使用一个更弱的对象——一个熵隙小、种子很短的随机冷凝器。我们还展示了如何使用Raz, Reingold和Vadhan(1999)的误差减少技术以及Zuckerman(2006)的恒定度分散器(也适用于极小的测试)显式地构建这个较弱的对象。
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An efficient reduction from two-source to non-malleable extractors: achieving near-logarithmic min-entropy
The breakthrough result of Chattopadhyay and Zuckerman (2016) gives a reduction from the construction of explicit two-source extractors to the construction of explicit non-malleable extractors. However, even assuming the existence of optimal explicit non-malleable extractors only gives a two-source extractor (or a Ramsey graph) for poly(logn) entropy, rather than the optimal O(logn). In this paper we modify the construction to solve the above barrier. Using the currently best explicit non-malleable extractors we get an explicit bipartite Ramsey graphs for sets of size 2k, for k=O(logn loglogn). Any further improvement in the construction of non-malleable extractors would immediately yield a corresponding two-source extractor. Intuitively, Chattopadhyay and Zuckerman use an extractor as a sampler, and we observe that one could use a weaker object - a somewhere-random condenser with a small entropy gap and a very short seed. We also show how to explicitly construct this weaker object using the error reduction technique of Raz, Reingold and Vadhan (1999), and the constant-degree dispersers of Zuckerman (2006) that also work against extremely small tests.
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