I. Evolution Equations on ?n.- 1. The Space ?n.- 2. Evolution Equations on ?n.- 3. Finite Escape Times.- 4. Processes on ?sun X ?.- 5. Linear Dynamical Systems.- 6. The Simplest Class of Processes.- 7. Stability of a Particular Motion: Processes.- 8. Stability of Equilibrium: Dynamical Systems.- 9. Stability of Equilibrium: Linear Dynamical Systems.- 10. Quadratic Liapunov Functions and Linearization.- 11. The Invariance Principle and Asymptotic Behavior.- 12. Comments and Extensions.- References.- II. Preliminaries for Abstract Evolution Equations.- 1. Abstract Spaces.- 2. Functions.- 3. Linear Functions.- 4. Differentiation of Functions.- 5. Abstract Evolution Equations.- References.- III. Abstract Dynamical Systems and Evolution Equations.- 1. Dynamical Systems and C0-Semigroups.- 2. Linear Dynamical Systems.- 3. Generation of Linear Dynamical Systems.- 4. Choosing the State Space in Applications.- 5. Generation of Nonlinear Dynamical Systems.- 6. Comments and Extensions.- References.- IV. Some Topological Dynamics.- 1. Liapunov Functions and Positive Invariance.- 2. Computation of V.- 3. Stability and Liapunov's Direct Method.- 4. Positive Limit Sets and the Invariance Principle.- 5. Orbital Precompactness and Use of the Invariance Principle.- 6. Comments and Extensions.- References.- V. Applications and Special Topics.- 1. A Feedback Control Problem.- 2. The Thermoelastic Stability Problem.- 3. The Viscoelastic Stability Problem.- 4. A Fission Reactor Stability Problem.- 5. A Supersonic Panel-Flutter Problem.- 6. Discrete Dynamical Systems.- 7. Finite-Dimensional Approximation.- References.
This book grew out of a nine-month course first given during 1976-77 in the Division of Engineering Mechanics, University of Texas (Austin), and repeated during 1977-78 in the Department of Engineering Sciences and Applied Mathematics, Northwestern University. Most of the students were in their second year of graduate study, and all were familiar with Fourier series, Lebesgue integration, Hilbert space, and ordinary differential equa tions in finite-dimensional space. This book is primarily an exposition of certain methods of topological dynamics that have been found to be very useful in the analysis of physical systems but appear to be well known only to specialists. The purpose of the book is twofold: to present the material in such a way that the applications-oriented reader will be encouraged to apply these methods in the study of those physical systems of personal interest, and to make the coverage sufficient to render the current research literature intelligible, preparing the more mathematically inclined reader for research in this particular area of applied mathematics. We present only that portion of the theory which seems most useful in applications to physical systems. Adopting the view that the world is deterministic, we consider our basic problem to be predicting the future for a given physical system. This prediction is to be based on a known equation of evolution, describing the forward-time behavior of the system, but it is to be made without explicitly solving the equation.
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