“This book provides an introduction to the interplay between linear algebra and dynamical systems in continuous time and in discrete time. It first reviews the d autonomous case for one matrix A via induced dynamical systems in R and on Grassmannian manifolds. Then the main nonautonomous approaches are presented for which the time dependency of A(t) is given via skew-product flows using periodicity, or topological (chain recurrence) or ergodic properties (invariant measures). The authors develop generalizations of (real parts of) eigenvalues and eigenspaces as a starting point for a linear algebra for classes of time-varying linear systems, namely periodic, random, and perturbed (or controlled) systems.
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[Source: Orient Blackswan]
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