### Abstract

Given an affine subspace of square matrices, we consider the problem of minimizing the spectral abscissa (the largest real part of an eigenvalue). We give an example whose optimal solution has Jordan form consisting of a single Jordan block, and we show, using nonlipschitz variational analysis, that this behaviour persists under arbitrary small perturbations to the example. Thus although matrices with nontrivial Jordan structure are rare in the space of all matrices, they appear naturally in spectral abscissa minimization.

Original language | English (US) |
---|---|

Pages (from-to) | 1635-1642 |

Number of pages | 8 |

Journal | Proceedings of the American Mathematical Society |

Volume | 129 |

Issue number | 6 |

DOIs | |

State | Published - 2001 |

### Keywords

- Eigenvalue optimization
- Jordan form
- Nonsmooth analysis
- Spectral abscissa

### ASJC Scopus subject areas

- Mathematics(all)
- Applied Mathematics

## Fingerprint Dive into the research topics of 'Optimizing matrix stability'. Together they form a unique fingerprint.

## Cite this

Burke, J. V., Lewis, A. S., & Overton, M. L. (2001). Optimizing matrix stability.

*Proceedings of the American Mathematical Society*,*129*(6), 1635-1642. https://doi.org/10.1090/s0002-9939-00-05985-2