Richard Bellman

Stability Theory of Differential Equations (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Suitable for advanced undergraduates and graduate students, this was the first English-language text to offer detailed coverage of boundedness, stability, and asymptotic behavior of linear and nonlinear differential equations. It remains a classic guide, featuring material from original research papers, including the author's own studies.
The linear equation with constant and almost-constant coefficients receives in-depth attention that includes aspects of matrix theory. No previous acquaintance with the theory is necessary, since author Richard Bellman derives the results in matrix theory from the beginning. In regard to the stability of nonlinear systems, results of the linear theory are used to drive the results of Poincaré and Liapounoff. Professor Bellman then surveys important results concerning the boundedness, stability, and asymptotic behavior of second-order linear differential equations. The final chapters explore significant nonlinear differential equations whose solutions may be completely described in terms of asymptotic behavior. Only real solutions of real equations are considered, and the treatment emphasizes the behavior of these solutions as the independent variable increases without limit.

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Produktdetails

• Verlag: Apa Publications
• Seitenzahl: 176
• Erscheinungstermin: 20. Februar 2013
• Englisch
• ISBN-13: 9780486150130
• Artikelnr.: 40023020

Autorenporträt

The late author was a Professor of Mathematics at the University of Southern California.

Inhaltsangabe

Preface 1. Properties of Linear Systems 2. Stability, Boundedness, and
Asymptotic Behavior of Solutions of Linear Systems 3. The Existence and
Uniqueness of Solutions of Nonlinear Systems 4. The Stability of Solutions
of Nonlinear Differential Equations 5. The Asymptotic Behavior of the
Solutions of Some Nonlinear Equations of the First Order 6. The
Second-order Linear Differential Equation 7. The Emden-Fowler Equation
Index

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