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2011 26th Annual IEEE Conference on Computational Complexity
A New Approach to Affine Extractors and Dispersers
San Jose, California USA
June 08-June 11
ISBN: 978-0-7695-4411-3
We study the problem of constructing affine extractors over $\GF(2)$. Previously the only known construction that can handle sources with arbitrarily linear entropy is due to Bourgain (and a slight modification by Yehudayoff), which makes extensive use of complicated inequality manipulations and relies on a careful choice of a polynomial. In this paper we give a new and conceptually much cleaner construction of affine extractors for linear entropy sources that outputs a constant fractionof the entropy with exponentially small error. This matches theprevious best result of Bourgain. The extractor can be pushed tohandle affine sources with entropy $n/\sqrt{\log n \logn}$. This slightly improves Bourgain's result andmatches the recent result of Yehudayoff. We also give a zero-error disperser for affine sources with entropy $n/\sqrt {\log n}$that outputs $n^{\Omega(1)}$ bits. This improves previousconstructions of affine dispersers that output more than 1 bit. In contrast to Bourgain's construction, our construction mainly uses extractor machinery and basic properties of polynomials. Some of our techniques may be of independent interest.
Index Terms:
randomness, affine, extractor, disperser
Citation:
Xin Li, "A New Approach to Affine Extractors and Dispersers," ccc, pp.137-147, 2011 26th Annual IEEE Conference on Computational Complexity, 2011
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