Averaging in random systems of nonnegative matrices

Abstract

It is proved that for the top Lyapunov exponent of a random matrix system of the form $\{AD(\omega )\}$, where $A$ is a nonnegative matrix and $D(\omega )$ is a diagonal matrix with positive diagonal entries, is bounded from below by the top Lyapunov exponent of the averaged system. This is in contrast to what one should expect of systems describing biological metapopulations.

8 pages

References in corpus (1)

• Principal Lyapunov exponents and principal Floquet spaces of positive random dynamical systems. II. Finite-dimensional systems