Revision #1 Authors: William Hoza, Edward Pyne, Salil Vadhan

Accepted on: 1st December 2020 21:02

Downloads: 486

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We prove that the Impagliazzo-Nisan-Wigderson (STOC 1994) pseudorandom generator (PRG) fools ordered (read-once) permutation branching programs of unbounded width with a seed length of $\widetilde{O}(\log d + \log n \cdot \log(1/\varepsilon))$, assuming the program has only one accepting vertex in the final layer. Here, $n$ is the length of the program, $d$ is the degree (equivalently, the alphabet size), and $\varepsilon$ is the error of the PRG. In contrast, we show that a randomly chosen generator requires seed length $\Omega(n \log d)$ to fool such unbounded-width programs. Thus, this is an unusual case where an explicit construction is "better than random."

Except when the program's width $w$ is very small, this is an improvement over prior work. For example, when $w = \text{poly}(n)$ and $d = 2$, the best prior PRG for permutation branching programs was simply Nisan's PRG (Combinatorica 1992), which fools general ordered branching programs with seed length $O(\log(wn/\varepsilon) \log n)$. We prove a seed length lower bound of $\widetilde{\Omega}(\log d + \log n \cdot \log(1/\varepsilon))$ for fooling these unbounded-width programs, showing that our seed length is near-optimal. In fact, when $\varepsilon \leq 1 / \log n$, our seed length is within a constant factor of optimal. Our analysis of the INW generator uses the connection between the PRG and the derandomized square of Rozenman and Vadhan (RANDOM 2005) and the recent analysis of the latter in terms of unit-circle approximation by Ahmadinejad et al. (FOCS 2020).

Minor improvements to presentation

TR20-138 Authors: William Hoza, Edward Pyne, Salil Vadhan

Publication: 13th September 2020 06:39

Downloads: 973

Keywords:

We prove that the Impagliazzo-Nisan-Wigderson (STOC 1994) pseudorandom generator (PRG) fools ordered (read-once) permutation branching programs of unbounded width with a seed length of $\widetilde{O}(\log d + \log n \cdot \log(1/\varepsilon))$, assuming the program has only one accepting vertex in the final layer. Here, $n$ is the length of the program, $d$ is the degree (equivalently, the alphabet size), and $\varepsilon$ is the error of the PRG. In contrast, we show that a randomly chosen generator requires seed length $\Omega(n \log d)$ to fool such unbounded-width programs. Thus, this is an unusual case where an explicit construction is "better than random."

Except when the program's width $w$ is very small, this is an improvement over prior work. For example, when $w = \text{poly}(n)$ and d = 2, the best prior PRG for permutation branching programs was simply Nisan's PRG (Combinatorica 1992), which fools general ordered branching programs with seed length $O(\log(wn/\varepsilon) \log n)$. We prove a seed length lower bound of $\widetilde{\Omega}(\log d + \log n \cdot \log(1/\varepsilon))$ for fooling these unbounded-width programs, showing that our seed length is near-optimal. In fact, when $\varepsilon \leq 1 / \log n$, our seed length is within a constant factor of optimal. Our analysis of the INW generator uses the connection between the PRG and the derandomized square of Rozenman and Vadhan (RANDOM 2005) and the recent analysis of the latter in terms of unit-circle approximation by Ahmadinejad et al. (FOCS 2020).