• DocumentCode
    2170141
  • Title

    Separating the power of monotone span programs over different fields

  • Author

    Beimel, Amos ; Weinreb, E.

  • Author_Institution
    Dept. of Comput. Sci., Ben-Gurion Univ., Beer-Sheva, Israel
  • fYear
    2003
  • fDate
    11-14 Oct. 2003
  • Firstpage
    428
  • Lastpage
    501
  • 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 Pudlak and Sgall (1998). Using this result we prove a super-polynomial lower bound for monotone span programs for a function in uniform - 𝒩;𝒞;2 (and therefore in 𝒫;), answering an open problem of Babai, Wigderson, and Gal (1999). 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.
  • Keywords
    computational complexity; cryptography; linear algebra; polynomials; algebraic computational model; computational complexity; cryptography; finite fields; linear computation; linear secret sharing schemes; linear-algebraic model; monotone span program power; nonlinear secret sharing schemes; quasilinear schemes; super-polynomial lower bound; super-polynomial separation; uniform function; Arithmetic; Circuits; Combinatorial mathematics; Computational complexity; Computational modeling; Computer science; Cryptography; Galois fields; Linear algebra; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2003. Proceedings. 44th Annual IEEE Symposium on
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-2040-5
  • Type

    conf

  • DOI
    10.1109/SFCS.2003.1238216
  • Filename
    1238216