• DocumentCode
    2892892
  • Title

    Approximate representation theory of finite groups

  • Author

    Babai, László ; Friedl, Katalin

  • Author_Institution
    Dept. Comput. Sci., Chicago Univ., IL, USA
  • fYear
    1991
  • fDate
    1-4 Oct 1991
  • Firstpage
    733
  • Lastpage
    742
  • Abstract
    The asymptotic stability and complexity of floating point manipulation of representations of a finite group G are considered, especially splitting them into irreducible constituents and deciding their equivalence. Using rapid mixing estimates for random walks, the authors analyze a classical algorithm by J. Dixon (1970). They find that both its stability and complexity critically depend on the diameter d=diam(G,S) (S is the set that generates G). They propose a worst-case speedup by using Erdos-Renyi generators and modifying the Dixon averaging method. The overall effect in asymptotic complexity is a guaranteed (n log |G|)O(1) running time
  • Keywords
    approximation theory; computational complexity; group theory; set theory; Dixon averaging method; Erdos-Renyi generators; approximate representation theory; asymptotic complexity; asymptotic stability; diameter; equivalence decision; finite groups; floating point manipulation; generating set; irreducible constituents; random walks; rapid mixing estimates; worst-case speedup; Algorithm design and analysis; Asymptotic stability; Computer science; Erbium; Linear algebra; Matrix decomposition; Monte Carlo methods; Polynomials; Sparse matrices; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1991. Proceedings., 32nd Annual Symposium on
  • Conference_Location
    San Juan
  • Print_ISBN
    0-8186-2445-0
  • Type

    conf

  • DOI
    10.1109/SFCS.1991.185442
  • Filename
    185442