Recognizing Weakly Stable Matrices
Peter Butkovič, Hans Schneider, Sergeĭ Sergeev · SIAM Journal on Control and Optimization · 2012
A max-plus matrix $A$ is called weakly stable if the sequence (orbit) $x,A\otimes x,A^{2}\otimes x,\ldots$ does not reach an eigenvector of $A$ for any $x$ 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 nontrivial 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.