Title :
A New Approach to Affine Extractors and Dispersers
Author_Institution :
Dept. of Comput. Sci., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
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/√(log n log n). 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/√(log n) that outputs nΩ(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.
Keywords :
affine transforms; computational complexity; entropy; random processes; statistical distributions; Bourgain; Yehudayoff; affine disperser approach; affine extractor approach; inequality manipulations; linear entropy; polynomial properties; zero-error disperser; Algorithm design and analysis; Corporate acquisitions; Correlation; Entropy; Polynomials; Random variables; Vectors; affine; disperser; extractor; randomness;
Conference_Titel :
Computational Complexity (CCC), 2011 IEEE 26th Annual Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4577-0179-5
Electronic_ISBN :
1093-0159
DOI :
10.1109/CCC.2011.27