Article ID Journal Published Year Pages File Type
9657941 Theoretical Computer Science 2005 15 Pages PDF
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
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