• DocumentCode
    307048
  • Title

    The spectral radius of a pair of matrices is hard to compute

  • Author

    Tsitsiklis, John N. ; Blondel, Vincent D.

  • Author_Institution
    Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    3192
  • Abstract
    We analyse the computability and the complexity of various definitions of spectral radii for sets of matrices. We show that the joint and generalised spectral radii of two integer matrices are not approximable in polynomial time, and that, two related quantities-the lower spectral radius and the largest Lyapunov exponent-are not algorithmically approximable. As a corollary of these results we show that: 1) the problem of deciding if all possible products of two given matrices are stable is NP-hard, 2) the problem of deciding if at, least one product of two given matrices is stable is undecidable
  • Keywords
    Lyapunov matrix equations; computability; computational complexity; eigenvalues and eigenfunctions; matrix algebra; stability; NP-hard problem; complexity; computability; eigenvalue; integer matrix pair; largest Lyapunov exponent; lower spectral radius; spectral radius; Computational complexity; Eigenvalues and eigenfunctions; H infinity control; Laboratories; Mathematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.573624
  • Filename
    573624