Time-Space Tradeoffs for Branching Programs

  • Authors:
  • Paul Beame;Michael Saks;Jayram S. Thathachar

  • Affiliations:
  • -;-;-

  • Venue:
  • FOCS '98 Proceedings of the 39th Annual Symposium on Foundations of Computer Science
  • Year:
  • 1998

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Abstract

We obtain the first non-trivial time-space tradeoff lower bound for functions f:{0,1}^n -{0,1} on general branching programs by exhibiting a Boolean function f that requires exponential size to be computed by any branching program of length (1+c)n, for some constant c0. We also give the first separation result between the syntactic and semantic read-k models for k1 by showing that polynomial-size semantic read-twice branching programs can compute functions that require exponential size on any syntactic read-k branching program. In addition we show a time-space tradeoff result on the more general R-way branching program model: for any k, we exhibit a function that requires exponential size to be computed by length kn q-way branching programs, for some q=q(k).