Recognising weakly stable matrices

Peter Butkovic, Hans Schneider, Sergey Sergeev

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)
270 Downloads (Pure)

Abstract

A max-plus matrix A is called weakly stable if the sequence (orbit) does not reach an eigenvector of A for any starting vector x unless x is an eigenvector. This is in contrast to previously studied strongly stable (robust) matrices for which the orbit reaches an eigenvector with any non-trivial starting vector. Max-plus matrices are used to describe multiprocessor interactive systems for which reachability of a steady regime is equivalent to reachability of an eigenvector by a matrix orbit.
We prove that an irreducible matrix is weakly stable if and only if its critical graph is a Hamiltonian cycle in the associated graph. We extend this condition to reducible matrices. These criteria can be checked in polynomial time.

Original languageEnglish
Pages (from-to)3029-3051
Number of pages23
JournalSIAM Journal on Control and Optimisation
Volume50
Issue number5
Early online date2 Oct 2012
DOIs
Publication statusPublished - 2012

Keywords

  • Matrix; Steady regime; Reachability; Eigenspace; Stability

Fingerprint

Dive into the research topics of 'Recognising weakly stable matrices'. Together they form a unique fingerprint.

Cite this