- Variational Analysis of the Spectral Abscissa at a Matrix with a Nongeneric Multiple Eigenvalue Sara Grundel(grundelmpi-magdeburg.mpg.de) M. L. Overton (overtoncs.nyu.edu) Abstract: The spectral abscissa is a fundamental map from the set of complex matrices to the real numbers. Denoted $\alpha$ 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 $\alpha$ is nonconvex and is non-Lipschitz near matrices with multiple eigenvalues. Variational analysis of this function was presented in \cite{BurOveMatrix}, 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 $\alpha$ at a matrix $X$ was also given for the case that all active eigenvalues of $X$ (those whose real part equals $\alpha(X)$) 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. Keywords: Category 1: Convex and Nonsmooth Optimization (Nonsmooth Optimization ) Citation: MPI Magdeburg, Sandtorstr 1. 39106 Magdeburg, Germany,10/2012 Download: [PDF]Entry Submitted: 10/22/2012Entry Accepted: 10/22/2012Entry Last Modified: 10/22/2012Modify/Update this entry Visitors Authors More about us Links Subscribe, Unsubscribe Digest Archive Search, Browse the Repository Submit Update Policies Coordinator's Board Classification Scheme Credits Give us feedback Optimization Journals, Sites, Societies Optimization Online is supported by the Mathematical Optmization Society.