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Ordinary differential equations and dynamical systems 1st Edition by Gerald Teschl ISBN 147047641X 9781470476410

  • SKU: BELL-2048126
Ordinary differential equations and dynamical systems 1st Edition by Gerald Teschl ISBN 147047641X 9781470476410
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Ordinary differential equations and dynamical systems 1st Edition by Gerald Teschl ISBN 147047641X 9781470476410 instant download after payment.

Publisher: AMS
File Extension: PDF
File size: 3.02 MB
Pages: 349
Author: Teschl G.
Language: English
Year: 2011
Edition: draft

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Ordinary differential equations and dynamical systems 1st Edition by Gerald Teschl ISBN 147047641X 9781470476410 by Teschl G. instant download after payment.

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ISBN 10: 147047641X 
ISBN 13: 9781470476410
Author: Gerald Teschl

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 Poincaré–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.

Ordinary differential equations and dynamical systems 1st Table of contents:

Part 1: First-Order Ordinary Differential Equations

  1. Introduction to Differential Equations
    • What is a Differential Equation?
    • Classification of ODEs (Order, Linearity, Homogeneity)
    • Solutions, Initial Value Problems, and General Solutions
    • Direction Fields and Integral Curves
  2. Techniques for Solving First-Order ODEs
    • Separation of Variables
    • Exact Equations and Integrating Factors
    • Linear First-Order Equations
    • Homogeneous Equations
    • Bernoulli Equations
    • Applications (Growth and Decay, Mixing Problems, Newton's Law of Cooling, Population Dynamics)
  3. Qualitative Analysis of First-Order Equations
    • Equilibrium Solutions (Fixed Points) and Stability
    • Phase Line Analysis
    • Bifurcations in One-Dimensional Systems

Part 2: Higher-Order Linear Ordinary Differential Equations

  1. Second-Order Linear Homogeneous Equations
    • Homogeneous Equations with Constant Coefficients (Characteristic Equation)
    • Real Distinct Roots, Complex Conjugate Roots, Repeated Roots
    • Method of Reduction of Order
    • Applications (Mass-Spring Systems, RLC Circuits)
  2. Second-Order Linear Nonhomogeneous Equations
    • Method of Undetermined Coefficients
    • Method of Variation of Parameters
  3. Higher-Order Linear Equations
    • Homogeneous Equations with Constant Coefficients
    • Nonhomogeneous Equations

Part 3: Systems of Ordinary Differential Equations

  1. Introduction to Systems of ODEs
    • First-Order Linear Systems
    • Phase Plane Analysis for Linear Systems
    • Homogeneous Linear Systems with Constant Coefficients (Eigenvalue Method)
    • Real Distinct Eigenvalues, Complex Eigenvalues, Repeated Eigenvalues
  2. Nonhomogeneous Linear Systems
    • Method of Variation of Parameters for Systems
  3. Nonlinear Systems and Qualitative Methods
    • Linearization Around Equilibrium Points
    • Stability of Nonlinear Systems
    • Phase Plane Analysis for Nonlinear Systems
    • Limit Cycles and Poincaré-Bendixson Theorem (for 2D systems)
    • Bifurcations in Two-Dimensional Systems

Part 4: Introduction to Dynamical Systems

  1. Autonomous Systems and Flow
    • Definition of Dynamical Systems
    • Flows and Maps
    • Phase Space
    • Poincaré Maps (for higher-dimensional systems)
  2. Stability Theory
    • Lyapunov Stability (Asymptotic Stability, Global Stability)
    • LaSalle's Invariance Principle
    • Stability of Limit Cycles
  3. Bifurcation Theory (More Advanced)
    • Local Bifurcations (Saddle-Node, Transcritical, Pitchfork, Hopf)
    • Global Bifurcations (Homoclinic, Heteroclinic)
  4. Chaos and Complex Dynamics
    • Sensitive Dependence on Initial Conditions
    • Strange Attractors
    • Fractal Dimensions (brief introduction)
    • Examples of Chaotic Systems (Lorenz System, Duffing Oscillator)
  5. Discrete Dynamical Systems (Maps)
    • Iteration of Functions
    • Fixed Points and Cycles for Maps
    • Stability of Fixed Points for Maps
    • Bifurcations in Maps (e.g., Period-Doubling Bifurcation and Chaos)
    • Logistic Map as a Case Study

Part 5: Advanced Topics and Applications (Optional, depending on the book's depth)

  1. Boundary Value Problems
    • Sturm-Liouville Theory
    • Eigenvalues and Eigenfunctions
  2. Series Solutions of Linear Equations
    • Power Series Solutions (around ordinary and singular points)
    • Frobenius Method
  3. Laplace Transforms
    • Definition and Properties
    • Solving Initial Value Problems with Laplace Transforms
  4. Perturbation Methods
    • Regular Perturbation
    • Singular Perturbation
  5. Numerical Methods for ODEs
    • Euler's Method, Runge-Kutta Methods
    • Stability of Numerical Methods
  6. Applications in Science and Engineering
    • Biology (Predator-Prey Models, Epidemics)
    • Physics (Pendulum, Planetary Motion, Circuits)
    • Engineering (Control Systems, Mechanical Vibrations)
    • Economics

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