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Can I read Dynamical Systems and Linear Algebra (Graduate Studies in Mathematics) (Graduate Studies in Mathematics, 158) on EtoBox?

Dynamical Systems and Linear Algebra (Graduate Studies in Mathematics) (Graduate Studies in Mathematics, 158) by Fritz Colonius, Wolfgang Kliemann is a nonfiction available to read on EtoBox.

What is Dynamical Systems and Linear Algebra (Graduate Studies in Mathematics) (Graduate Studies in Mathematics, 158) about?

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 autonomous case for one matrix $A$ via induced dynamical systems in $\mathbb{R}^d$ 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. The book presents for the first time in one volume a unified approach via Lyapunov exponents to detailed proofs of Floquet theory, of the properties of the Morse spectrum, and of the multiplicative ergodic theorem for products of random matrices. The main tools, chain recurrence and Morse decompositions, as well as classical ergodic theory are introduced in a way that makes the entire material accessible for beginning graduate students.

Who reads Dynamical Systems and Linear Algebra (Graduate Studies in Mathematics) (Graduate Studies in Mathematics, 158)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Fritz Colonius, Wolfgang Kliemann
Publisher
American Mathematical Society
Published
2014
Language
EN
ISBN
9781470419325
Category
nonfiction
Subjects
Mathematics, Stem

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