English

Better Pseudorandom Generators from Milder Pseudorandom Restrictions

Computational Complexity 2012-10-02 v1

Abstract

We present an iterative approach to constructing pseudorandom generators, based on the repeated application of mild pseudorandom restrictions. We use this template to construct pseudorandom generators for combinatorial rectangles and read-once CNFs and a hitting set generator for width-3 branching programs, all of which achieve near-optimal seed-length even in the low-error regime: We get seed-length O(log (n/epsilon)) for error epsilon. Previously, only constructions with seed-length O(\log^{3/2} n) or O(\log^2 n) were known for these classes with polynomially small error. The (pseudo)random restrictions we use are milder than those typically used for proving circuit lower bounds in that we only set a constant fraction of the bits at a time. While such restrictions do not simplify the functions drastically, we show that they can be derandomized using small-bias spaces.

Keywords

Cite

@article{arxiv.1210.0049,
  title  = {Better Pseudorandom Generators from Milder Pseudorandom Restrictions},
  author = {Parikshit Gopalan and Raghu Meka and Omer Reingold and Luca Trevisan and Salil Vadhan},
  journal= {arXiv preprint arXiv:1210.0049},
  year   = {2012}
}

Comments

To appear in FOCS 2012

R2 v1 2026-06-21T22:13:12.157Z