English

Improved Pseudorandom Generators for $\mathsf{AC}^0$ Circuits

Computational Complexity 2023-01-25 v1 Data Structures and Algorithms

Abstract

We show a new PRG construction fooling depth-dd, size-mm AC0\mathsf{AC}^0 circuits within error ε\varepsilon, which has seed length O(logd1(m)log(m/ε)loglog(m))O(\log^{d-1}(m)\log(m/\varepsilon)\log\log(m)). Our PRG improves on previous work (Trevisan and Xue 2013, Servedio and Tan 2019, Kelley 2021) from various aspects. It has optimal dependence on 1ε\frac{1}{\varepsilon} and is only one ``loglog(m)\log\log(m)'' away from the lower bound barrier. For the case of d=2d=2, the seed length tightly matches the best-known PRG for CNFs (De et al. 2010, Tal 2017). There are two technical ingredients behind our new result; both of them might be of independent interest. First, we use a partitioning-based approach to construct PRGs based on restriction lemmas for AC0\mathsf{AC}^0, which follows and extends the seminal work of (Ajtai and Wigderson 1989). Second, improving and extending prior works (Trevisan and Xue 2013, Servedio and Tan 2019, Kelley 2021), we prove a full derandomization of the powerful multi-switching lemma for a family of DNFs (H{\aa}stad 2014).

Keywords

Cite

@article{arxiv.2301.10102,
  title  = {Improved Pseudorandom Generators for $\mathsf{AC}^0$ Circuits},
  author = {Xin Lyu},
  journal= {arXiv preprint arXiv:2301.10102},
  year   = {2023}
}

Comments

The conference version appeared in CCC2022

R2 v1 2026-06-28T08:18:47.416Z