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Ordinary Differential Equations and Dynamical Systems [Hardback]

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  • Formāts: Hardback, 356 pages, weight: 797 g
  • Sērija : Graduate Studies in Mathematics
  • Izdošanas datums: 19-Mar-2013
  • Izdevniecība: American Mathematical Society
  • ISBN-10: 0821883283
  • ISBN-13: 9780821883280
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  • Formāts: Hardback, 356 pages, weight: 797 g
  • Sērija : Graduate Studies in Mathematics
  • Izdošanas datums: 19-Mar-2013
  • Izdevniecība: American Mathematical Society
  • ISBN-10: 0821883283
  • ISBN-13: 9780821883280
Citas grāmatas par šo tēmu:
This book provides a self-contained introduction to ordinary differential equations and dynamical systems suitable for beginning graduate students.

The first part begins with some simple examples of explicitly solvable equations and a first glance at qualitative methods. Then the fundamental results concerning the initial value problem are proved: existence, uniqueness, extensibility, dependence on initial conditions. Furthermore, linear equations are considered, including the Floquet theorem, and some perturbation results. As somewhat independent topics, the Frobenius method for linear equations in the complex domain is established and Sturm-Liouville boundary value problems, including oscillation theory, are investigated.

The second part introduces the concept of a dynamical system. The Poincare-Bendixson theorem is proved, and several examples of planar systems from classical mechanics, ecology, and electrical engineering are investigated. Moreover, attractors, Hamiltonian systems, the KAM theorem, and periodic solutions are discussed. Finally, stability is studied, including the stable manifold and the Hartman-Grobman theorem for both continuous and discrete systems.

The third part introduces chaos, beginning with the basics for iterated interval maps and ending with the Smale-Birkhoff theorem and the Melnikov method for homoclinic orbits. The text contains almost three hundred exercises. Additionally, the use of mathematical software systems is incorporated throughout, showing how they can help in the study of differential equations.

Recenzijas

It's easy to build all sorts of courses from this book a classical one-semester course with a brief introduction to dynamical systems, a one-semester dynamical systems course with just brief coverage of the existence and linear systems theory, or a rather nice two-semester course based on most (if not all) of the material." - MAA Reviews

Preface ix
Part 1 Classical theory
Chapter 1 Introduction
3(30)
§1.1 Newton's equations
3(3)
§1.2 Classification of differential equations
6(3)
§1.3 First-order autonomous equations
9(4)
§1.4 Finding explicit solutions
13(7)
§1.5 Qualitative analysis of first-order equations
20(8)
§1.6 Qualitative analysis of first-order periodic equations
28(5)
Chapter 2 Initial value problems
33(26)
§2.1 Fixed point theorems
33(3)
§2.2 The basic existence and uniqueness result
36(3)
§2.3 Some extensions
39(3)
§2.4 Dependence on the initial condition
42(6)
§2.5 Regular perturbation theory
48(2)
§2.6 Extensibility of solutions
50(4)
§2.7 Euler's method and the Peano theorem
54(5)
Chapter 3 Linear equations
59(52)
§3.1 The matrix exponential
59(7)
§3.2 Linear autonomous first-order systems
66(8)
§3.3 Linear autonomous equations of order n
74(6)
§3.4 General linear first-order systems
80(7)
§3.5 Linear equations of order n
87(4)
§3.6 Periodic linear systems
91(6)
§3.7 Perturbed linear first-order systems
97(6)
§3.8 Appendix: Jordan canonical form
103(8)
Chapter 4 Differential equations in the complex domain
111(30)
§4.1 The basic existence and uniqueness result
111(5)
§4.2 The Frobenius method for second-order equations
116(14)
§4.3 Linear systems with singularities
130(4)
§4.4 The Frobenius method
134(7)
Chapter 5 Boundary value problems
141(46)
§5.1 Introduction
141(5)
§5.2 Compact symmetric operators
146(7)
§5.3 Sturm-Liouville equations
153(2)
§5.4 Regular Sturm-Liouville problems
155(11)
§5.5 Oscillation theory
166(9)
§5.6 Periodic Sturm-Liouville equations
175(12)
Part 2 Dynamical systems
Chapter 6 Dynamical systems
187(22)
§6.1 Dynamical systems
187(1)
§6.2 The flow of an autonomous equation
188(4)
§6.3 Orbits and invariant sets
192(5)
§6.4 The Poincare map
197(1)
§6.5 Stability of fixed points
198(3)
§6.6 Stability via Liapunov's method
201(2)
§6.7 Newton's equation in one dimension
203(6)
Chapter 7 Planar dynamical systems
209(20)
§7.1 Examples from ecology
209(6)
§7.2 Examples from electrical engineering
215(5)
§7.3 The Poincare-Bendixson theorem
220(9)
Chapter 8 Higher dimensional dynamical systems
229(26)
§8.1 Attracting sets
229(5)
§8.2 The Lorenz equation
234(4)
§8.3 Hamiltonian mechanics
238(5)
§8.4 Completely integrable Hamiltonian systems
243(4)
§8.5 The Kepler problem
247(3)
§8.6 The KAM theorem
250(5)
Chapter 9 Local behavior near fixed points
255(26)
§9.1 Stability of linear systems
255(2)
§9.2 Stable and unstable manifolds
257(7)
§9.3 The Hartman-Grobman theorem
264(6)
§9.4 Appendix: Integral equations
270(11)
Part 3 Chaos
Chapter 10 Discrete dynamical systems
281(12)
§10.1 The logistic equation
281(3)
§10.2 Fixed and periodic points
284(3)
§10.3 Linear difference equations
287(1)
§10.4 Local behavior near fixed points
288(5)
Chapter 11 Discrete dynamical systems in one dimension
293(24)
§11.1 Period doubling
293(3)
§11.2 Sarkovskii's theorem
296(1)
§11.3 On the definition of chaos
297(3)
§11.4 Cantor sets and the tent map
300(3)
§11.5 Symbolic dynamics
303(6)
§11.6 Strange attractors/repellers and fractal sets
309(4)
§11.7 Homoclinic orbits as source for chaos
313(4)
Chapter 12 Periodic solutions
317(16)
§12.1 Stability of periodic solutions
317(2)
§12.2 The Poincare map
319(2)
§12.3 Stable and unstable manifolds
321(3)
§12.4 Melnikov's method for autonomous perturbations
324(5)
§12.5 Melnikov's method for nonautonomous perturbations
329(4)
Chapter 13 Chaos in higher dimensional systems
333(8)
§13.1 The Smale horseshoe
333(2)
§13.2 The Smale-Birkhoff homoclinic theorem
335(1)
§13.3 Melnikov's method for homoclinic orbits
336(5)
Bibliographical notes 341(4)
Bibliography 345(4)
Glossary of notation 349(2)
Index 351
Gerald Teschl is at University of Vienna, Austria.