Separating the power of monotone span programs over different fields

Amos Beimel, Enav Weinreb

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

Monotone span programs are a linear-algebraic model of computation. They are equivalent to linear secret sharing schemes and have various applications in cryptography and complexity. A fundamental question is how the choice of the field in which the algebraic operations are performed effects the power of the span program. In this paper we prove that the power of monotone span programs over finite fields of different characteristics is incomparable; we show a super-polynomial separation between any two fields with different characteristics, answering an open problem of Pudlák and Sgall 1998. Using this result we prove a super-polynomial lower bound for monotone span programs for a function in uniform - NC2 (and therefore in P), answering an open problem of Babai, Wigderson, and Gál 1999. (All previous lower bounds for monotone span programs were for functions not known to be in P.) Finally, we show that quasi-linear schemes, a generalization of linear secret sharing schemes introduced in Beimel and Ishai 2001, are stronger than linear secret sharing schemes. In particular, this proves, without any assumptions, that non-linear secret sharing schemes are more efficient than linear secret sharing schemes.

Original languageEnglish
Pages (from-to)428-437
Number of pages10
JournalAnnual Symposium on Foundations of Computer Science - Proceedings
StatePublished - 2 Dec 2003
EventProceedings: 44th Annual IEEE Symposium on Foundations of Computer Science - FOCS 2003 - Cambridge, MA, United States
Duration: 11 Oct 200314 Oct 2003

ASJC Scopus subject areas

  • Hardware and Architecture

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