the qualitative theory of ordinary differential equations [pdf]
The Qualitative Theory of Ordinary Differential Equations: An Introduction by Fred Brauer, John A. Nohel
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The Qualitative Theory of Ordinary Differential Equations written by
Fred Brauer and
John A. Nohel , University of Wisconsin.
Publisher by
Dover Publications, Year: 1989.
This highly regarded text presents a self-contained introduction to some important aspects of modern qualitative theory for ordinary differential equations. It is accessible to any student of physical sciences, mathematics or engineering who has a good knowledge of calculus and of the elements of linear algebra. In addition, algebraic results are stated as needed; the less familiar ones are proved either in the text or in appendixes.
The topics covered in the first three chapters are the standard theorems concerning linear systems, existence and uniqueness of solutions, and dependence on parameters. The next three chapters, the heart of the book, deal with stability theory and some applications, such as oscillation phenomena, self-excited oscillations and the regulator problem of Lurie.
One of the special features of this work is its abundance of exercises-routine computations, completions of mathematical arguments, extensions of theorems and applications to physical problems. Moreover, they are found in the body of the text where they naturally occur, offering students substantial aid in understanding the ideas and concepts discussed. The level is intended for students ranging from juniors to first-year graduate students in mathematics, physics or engineering; however, the book is also ideal for a one-semester undergraduate course in ordinary differential equations, or for engineers in need of a course in state space methods.
The Qualitative Theory of Ordinary Differential Equations written by
Fred Brauer, John A. Nohel
cover the following topics.
1. System of Differential Equations
2. Linear Systems, with an Introduction to Phase Space Analysis
3. Existence Theory
4. Stability of Linear and Almost Linear Systems
5. Lyapunov's Second Method
6. Some Applications
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