Analysis and Simulation of Chaotic Systems

1. Front Matter

   Pages i-xx

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2. Linear Systems

   Pages 1-25

3. Dynamical Systems

   Pages 27-89

4. Stability Methods for Nonlinear Systems

   Pages 91-120

5. Bifurcation and Topological Methods

   Pages 121-143

6. Regular Perturbation Methods

   Pages 145-161

7. Iterations and Perturbations

   Pages 163-194

8. Methods of Averaging

   Pages 195-247

9. Quasistatic-State Approximations

   Pages 249-300

10. Back Matter

    Pages 301-317

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Beginning with realistic mathematical or verbal models of physical or biological phenomena, the author derives tractable mathematical models that are amenable to further mathematical analysis or to elucidating computer simulations. For the most part, derivations are based on perturbation methods. Because of this, the majority of the text is devoted to careful derivations of implicit function theorems, the method of averaging, and quasi-static state approximation methods. The duality between stability and perturbation is developed and used, relying heavily on the concept of stability under persistent disturbances. This explains why stability results developed for quite simple problems are often useful for more complicated, even chaotic, ones. Relevant topics about linear systems, nonlinear oscillations, and stability methods for difference, differential-delay, integro- differential and ordinary and partial differential equations are developed throughout the book. For the second edition, the author has restructured the chapters, placing special emphasis on introductory materials in Chapters 1 and 2 as distinct from presentation materials in Chapters 3 through 8. In addition, more material on bifurcations from the point of view of canonical models, sections on randomly perturbed systems, and several new computer simulations have been added.

• Chaotic Systems
• Implicit function
• Mathematical Models
• Nonlinear system
• bifurcation
• calculus
• computer
• differential equation
• simulation

• Center for Systems Science and Engineering Research, Arizona State University, Tempe, USA

  Frank C. Hoppensteadt

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