Pseudorandom Generators for Regular Branching Programs

  • Authors:
  • Mark Braverman;Anup Rao;Ran Raz;Amir Yehudayoff

  • Affiliations:
  • -;-;-;-

  • Venue:
  • FOCS '10 Proceedings of the 2010 IEEE 51st Annual Symposium on Foundations of Computer Science
  • Year:
  • 2010

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Abstract

We give new pseudorandom generators for \emph{regular} read-once branching programs of small width. A branching program is regular if the in-degree of every vertex in it is either $0$ or $2$. For every width $d$ and length $n$, our pseudorandom generator uses a seed of length $O((\log d + \log\log n + \log(1/\epsilon))\log n)$ to produce $n$ bits that cannot be distinguished from a uniformly random string by any regular width $d$ length $n$ read-once branching program, except with probability $\epsilon$. We also give a result for general read-once branching programs, in the case that there are no vertices that are reached with small probability. We show that if a (possibly non-regular) branching program of length $n$ and width $d$ has the property that every vertex in the program is traversed with probability at least $\gamma$ on a uniformly random input, then the error of the generator above is at most $2 \epsilon/\gamma^2$.