Join Raghu Meka's Insightful Talk at METRIC 2011 on Expanders & Derandomization 🔍

METRIC 2011 Trimester at Institut Henri Poincaré (Paris, France)
Workshop on Expanders and derandomization (March 21-25, 2011)
Mar 24, 15:00-16:00 - Raghu Meka (U. Texas, Austin)
Pseudorandom Generators for Combinatorial Shapes
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We construct pseudorandom generators for combinatorial shapes, which substantially generalize combinatorial rectangles, 0/1 halfspaces, and 0/1 modular sums. A function f:[m]^n -> {0,1} is an (m,n)-combinatorial shape if there exist sets A_1,...,A_n \subseteq [m] and a symmetric function h:{0,1}^n -> {0,1} such that f(x_1,\ldots,x_n) = h(1_{A_1}(x_1),...,1_{A_n}(x_n)).

Our generator uses seed length O(log m + log n + \log^2(1/\eps)) to get error \eps. When m =2, this gives the first generator of seed length O(log n) which fools all weight-based tests, meaning that the distribution of the weight of any subset is eps-close to the appropriate binomial distribution in statistical distance.

For our proof we give a simple lemma which allows us to convert closeness in Kolmogorov (cdf) distance to closeness in statistical distance. As a corollary of our technique, we give an alternative proof of a variant of the classical central limit theorem showing convergence in statistical distance, instead of the usual Kolmogorov distance.

Joint work with Parikshit Gopalan, Omer Reingold and David Zuckerman.