• DocumentCode
    2356885
  • Title

    Polynomial time randomised approximation schemes for the Tutte polynomial of dense graphs

  • Author

    Alon, Noga ; Frieze, Alan ; Welsh, Dominic

  • Author_Institution
    Raymond & Beverly Sackler Fac. of Exact Sci., Tel Aviv Univ., Israel
  • fYear
    1994
  • fDate
    20-22 Nov 1994
  • Firstpage
    24
  • Lastpage
    35
  • Abstract
    The Tutte-Grothendieck polynomial T(G; x, y) of a graph G encodes numerous interesting combinatorial quantities associated with the graph. Its evaluation in various points in the (x,y) plane gave the number of spanning forests of the graph, the number of its strongly connected orientations, the number of its proper k-colorings, the (all terminal) reliability probability of the graph, and various other invariants the exact computation of each of which is well known to be P-hard. Here we develop a general technique that supplies fully polynomial randomised approximation schemes for approximating the valve of T(G; x,, y) for any dense graph G, that is, any graph on n vertices whose minimum degree is Ω(n), whenever x⩾1 and y⩾1, and in various additional points. This region includes evaluations of reliability and partition functions of the ferromagnetic Q-state Potts model. Extensions to linear matroids where T specialises to the weight enumerator of linear codes are considered as well
  • Keywords
    Potts model; graph theory; linear codes; polynomial matrices; randomised algorithms; P-hard; Tutte polynomial; Tutte-Grothendieck polynomial; combinatorial quantities; dense graphs; ferromagnetic Q-state Potts model; k-colorings; linear codes; linear matroids; partition functions; polynomial time randomised approximation schemes; reliability probability; spanning forests; strongly connected orientations; weight enumerator; Bipartite graph; Educational institutions; Linear code; Mathematics; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1994 Proceedings., 35th Annual Symposium on
  • Conference_Location
    Santa Fe, NM
  • Print_ISBN
    0-8186-6580-7
  • Type

    conf

  • DOI
    10.1109/SFCS.1994.365708
  • Filename
    365708