Fractional Pseudorandom Generators from Any Fourier Level
Eshan Chattopadhyay, Jason Gaitonde, Chin Ho Lee, Shachar Lovett,, Abhishek Shetty

TL;DR
This paper introduces a new approach to constructing pseudorandom generators based on Fourier spectrum bounds, improving seed length efficiency and answering open questions in the field.
Contribution
It provides a novel analysis of fractional PRGs using Taylor's theorem, relying only on level-k Fourier sums, and extends the framework to achieve near state-of-the-art seed lengths.
Findings
Constructed PRGs with seed length depending on Fourier level k
Showed sufficiency of bounds on first O(log n) levels for polynomial error
Achieved seed lengths close to Viola's for F2 polynomials
Abstract
We prove new results on the polarizing random walk framework introduced in recent works of Chattopadhyay {et al.} [CHHL19,CHLT19] that exploit Fourier tail bounds for classes of Boolean functions to construct pseudorandom generators (PRGs). We show that given a bound on the -th level of the Fourier spectrum, one can construct a PRG with a seed length whose quality scales with . This interpolates previous works, which either require Fourier bounds on all levels [CHHL19], or have polynomial dependence on the error parameter in the seed length [CHLT10], and thus answers an open question in [CHLT19]. As an example, we show that for polynomial error, Fourier bounds on the first levels is sufficient to recover the seed length in [CHHL19], which requires bounds on the entire tail. We obtain our results by an alternate analysis of fractional PRGs using Taylor's theorem…
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