• DocumentCode
    579980
  • Title

    Better Pseudorandom Generators from Milder Pseudorandom Restrictions

  • Author

    Gopalan, Parikshit ; Meka, Raghu ; Reingold, Omer ; Trevisan, Luca ; Vadhan, Salil

  • fYear
    2012
  • fDate
    20-23 Oct. 2012
  • Firstpage
    120
  • Lastpage
    129
  • 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 Õ(log (n/ε)) for error ε. Previously, only constructions with seed-length O(log3/2 n) or O(log2 n) were known for these classes with error ε = 1/poly(n). 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
    combinatorial mathematics; computational complexity; random number generation; combinatorial rectangles; hitting set generator; iterative approach; near-optimal seed-length; pseudorandom generators; pseudorandom restrictions; read-once CNF; small-bias spaces; width-3 branching programs; Algorithm design and analysis; Approximation methods; Computational modeling; Educational institutions; Generators; Polynomials; Random variables; DNF formulas; Pseudorandom generators; branching programs; combinatorial rectangles; random restrictions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2012 IEEE 53rd Annual Symposium on
  • Conference_Location
    New Brunswick, NJ
  • ISSN
    0272-5428
  • Print_ISBN
    978-1-4673-4383-1
  • Type

    conf

  • DOI
    10.1109/FOCS.2012.77
  • Filename
    6375289