• DocumentCode
    1434797
  • Title

    Semidefinite Code Bounds Based on Quadruple Distances

  • Author

    Gijswijt, Dion C. ; Mittelmann, Hans D. ; Schrijver, Alexander

  • Author_Institution
    CWI, Amsterdam, Netherlands
  • Volume
    58
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    2697
  • Lastpage
    2705
  • Abstract
    Let A(n,d) be the maximum number of 0, 1 words of length n , any two having Hamming distance at least d. It is proved that A(20,8)=256, which implies that the quadruply shortened Golay code is optimal. Moreover, it is shown that A(18,6) ≤ 673, A(19,6) ≤ 1237, A(20,6) ≤ 2279, A(23,6) ≤ 13674, A(19,8) ≤ 135, A(25,8) ≤ 5421, A(26,8) ≤ 9275, A(27,8) ≤ 17099, A(21,10) ≤ 47, A(22,10) ≤ 84, A(24,10) ≤ 268, A(25,10) ≤ 466, A(26,10) ≤ 836, A(27,10) ≤ 1585, A(28,10) ≤ 2817, A(25,12) ≤ 55, and A(26,12) ≤ 96. The method is based on the positive semidefiniteness of matrices derived from quadruples of words. This can be put as constraint in a semidefinite program, whose optimum value is an upper bound for A(n,d). The order of the matrices involved is huge. However, the semidefinite program is highly symmetric, by which its feasible region can be restricted to the algebra of matrices invariant under this symmetry. By block diagonalizing this algebra, the order of the matrices will be reduced so as to make the program solvable with semidefinite programming software in the above range of values of n and d.
  • Keywords
    Golay codes; matrix algebra; Golay code; Hamming distance; matrix algebra; quadruple distances; semidefinite code bounds; semideflnite programming software; Educational institutions; Matrices; Polynomials; Programming; Symmetric matrices; Upper bound; Algebra; code; error-correcting; programming; semidefinite;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2012.2184845
  • Filename
    6142090