Better pseudorandom generators from milder pseudorandom restrictions

  • Parikshit Gopalan
  • Raghu Meka
  • Omer Reingold
  • Luca Trevisan
  • Salil Vadhan

FOCS'12 |

Published by IEEE

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.

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.