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Computer Science > Computational Complexity

arXiv:1405.7028 (cs)
[Submitted on 27 May 2014]

Title:Pseudorandomness and Fourier Growth Bounds for Width 3 Branching Programs

Authors:Thomas Steinke, Salil Vadhan, Andrew Wan
View a PDF of the paper titled Pseudorandomness and Fourier Growth Bounds for Width 3 Branching Programs, by Thomas Steinke and 2 other authors
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Abstract:We present an explicit pseudorandom generator for oblivious, read-once, width-$3$ branching programs, which can read their input bits in any order. The generator has seed length $\tilde{O}( \log^3 n ).$ The previously best known seed length for this model is $n^{1/2+o(1)}$ due to Impagliazzo, Meka, and Zuckerman (FOCS '12). Our work generalizes a recent result of Reingold, Steinke, and Vadhan (RANDOM '13) for \textit{permutation} branching programs. The main technical novelty underlying our generator is a new bound on the Fourier growth of width-3, oblivious, read-once branching programs. Specifically, we show that for any $f:\{0,1\}^n\rightarrow \{0,1\}$ computed by such a branching program, and $k\in [n],$ $$\sum_{s\subseteq [n]: |s|=k} \left| \hat{f}[s] \right| \leq n^2 \cdot (O(\log n))^k,$$ where $\widehat{f}[s] = \mathbb{E}\left[f[U] \cdot (-1)^{s \cdot U}\right]$ is the standard Fourier transform over $\mathbb{Z}_2^n$. The base $O(\log n)$ of the Fourier growth is tight up to a factor of $\log \log n$.
Comments: arXiv admin note: text overlap with arXiv:1306.3004
Subjects: Computational Complexity (cs.CC)
Cite as: arXiv:1405.7028 [cs.CC]
  (or arXiv:1405.7028v1 [cs.CC] for this version)
  https://doi.org/10.48550/arXiv.1405.7028
arXiv-issued DOI via DataCite

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From: Thomas Steinke [view email]
[v1] Tue, 27 May 2014 19:42:29 UTC (63 KB)
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Thomas Steinke
Salil P. Vadhan
Andrew Wan
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