Variational Analysis of the Spectral Abscissa at a Matrix with a Nongeneric Multiple Eigenvalue

Sara Grundel, Michael L. Overton

Research output: Contribution to journalArticlepeer-review


The spectral abscissa is a fundamental map from the set of complex matrices to the real numbers. Denoted α and defined as the maximum of the real parts of the eigenvalues of a matrix X, it has many applications in stability analysis of dynamical systems. The function α is nonconvex and is non-Lipschitz near matrices with multiple eigenvalues. Variational analysis of this function was presented in Burke and Overton (Math Program 90:317-352, 2001), including a complete characterization of its regular subgradients and necessary conditions which must be satisfied by all its subgradients. A complete characterization of all subgradients of α at a matrix X was also given for the case that all active eigenvalues of X (those whose real part equals α(X)) are nonderogatory (their geometric multiplicity is one) and also for the case that they are all nondefective (their geometric multiplicity equals their algebraic multiplicity). However, necessary and sufficient conditions for all subgradients in all cases remain unknown. In this paper we present necessary and sufficient conditions for the simplest example of a matrix X with a derogatory, defective multiple eigenvalue.

Original languageEnglish (US)
Pages (from-to)19-43
Number of pages25
JournalSet-Valued and Variational Analysis
Issue number1
StatePublished - Mar 2014


  • Degenerate eigenvalue
  • Derogatory eigenvalue
  • Spectral abscissa
  • Subgradient
  • Variational analysis

ASJC Scopus subject areas

  • Analysis
  • Statistics and Probability
  • Numerical Analysis
  • Geometry and Topology
  • Applied Mathematics


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