Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9657941 | Theoretical Computer Science | 2005 | 15 Pages |
Abstract
We derive an upper bound for the largest Lyapunov exponent of a Markovian product of nonnegative matrices using Markovian type counting arguments. The bound is expressed as the maximum of a nonlinear concave function over a finite-dimensional convex polytope of probability distributions.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Reza Gharavi, V. Anantharam,