The Boolean Functions Computed by Random Boolean Formulas OR How to Grow the Right Function

  • Authors:
  • Alex Brodsky;Nicholas Pippenger

  • Affiliations:
  • -;-

  • Venue:
  • The Boolean Functions Computed by Random Boolean Formulas OR How to Grow the Right Function
  • Year:
  • 2003
  • Query Incentive Networks

    FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science

  • Query incentive networks

    ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web

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Abstract

Among their many uses, growth processes (probabilistic amplification), were used for constructing reliable networks from unreliable components, and deriving complexity bounds of various classes of functions. Hence, determining the initial conditions for such processes is an important and challenging problem. In this paper we characterize growth processes by their initial conditions and derive conditions under which results such as Valiant''s (Valiant, 1984) hold. First, we completely characterize growth processes that use linear connectives. Second, by extending Savick\''y''s (Savick\''y, 1990) analysis, via ``Restriction Lemmas'''', we characterize growth processes that use monotone connectives, and show that our technique is applicable to growth processes that use other connectives as well.