• DocumentCode
    3379392
  • Title

    The complexity of the inertia and some closure properties of GapL

  • Author

    Hoang, Thanh Minh ; Thierauf, Thomas

  • Author_Institution
    Abteilung Theor. Informatik, Univ. Ulm, Germany
  • fYear
    2005
  • fDate
    11-15 June 2005
  • Firstpage
    28
  • Lastpage
    37
  • Abstract
    The inertia of an n × n matrix A is defined as the triple (i+ (A), i_(A), i0(A)), where i+(A), i_(A), and i0(A) are the number of eigenvalues of A, counting multiplicities, with positive, negative, and zero real part. It is known that the inertia of a large class of matrices can be determined in PL (probabilistic logspace). However, the general problem, whether the inertia of an arbitrary integer matrix is computable in PL, was an open question. In this paper we give a positive answer to this question and show that the problem is complete for PL. As consequences of this result we show necessary and sufficient conditions that certain algebraic functions like the rank or the inertia of an integer matrix can be computed in GapL.
  • Keywords
    computability; computational complexity; eigenvalues and eigenfunctions; matrix algebra; GapL; algebraic functions; arbitrary integer matrix; closure property; computability; computational complexity; eigenvalues; inertia; matrix algebra; probabilistic logspace; Computational complexity; Control theory; Eigenvalues and eigenfunctions; Linear algebra; Linear matrix inequalities; Polynomials; Robots; Sufficient conditions; Symmetric matrices; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 2005. Proceedings. Twentieth Annual IEEE Conference on
  • ISSN
    1093-0159
  • Print_ISBN
    0-7695-2364-1
  • Type

    conf

  • DOI
    10.1109/CCC.2005.28
  • Filename
    1443071