• DocumentCode
    2529571
  • Title

    The shortest vector in a lattice is hard to approximate to within some constant

  • Author

    Micciancio, Daniele

  • Author_Institution
    Lab. for Comput. Sci., MIT, Cambridge, MA, USA
  • fYear
    1998
  • fDate
    8-11 Nov 1998
  • Firstpage
    92
  • Lastpage
    98
  • Abstract
    We show the shortest vector problem in the l2 norm is NP-hard (for randomized reductions) to approximate within any constant factor less than √2. We also give a deterministic reduction under a reasonable number theoretic conjecture. Analogous results hold in any lp norm (p⩾1). In proving our NP-hardness result, we give an alternative construction satisfying Ajtai´s probabilistic variant of Sauer´s lemma, that greatly simplifies Ajtai´s original proof
  • Keywords
    computational complexity; randomised algorithms; NP-hard; NP-hardness; deterministic reduction; randomized reductions; shortest vector; shortest vector problem; Computer science; Contracts; Electronic switching systems; Laboratories; Lattices; Linear programming; Mathematics; Polynomials; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1998. Proceedings. 39th Annual Symposium on
  • Conference_Location
    Palo Alto, CA
  • ISSN
    0272-5428
  • Print_ISBN
    0-8186-9172-7
  • Type

    conf

  • DOI
    10.1109/SFCS.1998.743432
  • Filename
    743432