Fundamentals of Differential Equations, 9th edition

Published by Pearson (January 9, 2017) © 2018

  • R Kent Nagle Late, University of South Florida
  • Edward B. Saff University of South Florida , Vanderbilt University
  • Arthur David Snider University of South Florida
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For 1-semester courses in Differential Equations.

Introduces basic theory and applications

Fundamentals of Differential Equations, 9th Edition explores modern applications of differential equations in science and engineering. It adapts to various course emphases (theory, methodology, applications and numerical methods) and commercially available computer software. A longer version, Fundamentals of Differential Equations and Boundary Value Problems, 7th Edition, contains enough material for a 2-semester course.

1. Introduction

  • 1.1 Background
  • 1.2 Solutions and Initial Value Problems
  • 1.3 Direction Fields
  • 1.4 The Approximation Method of Euler

2. First-Order Differential Equations

  • 2.1 Introduction: Motion of a Falling Body
  • 2.2 Separable Equations
  • 2.3 Linear Equations
  • 2.4 Exact Equations
  • 2.5 Special Integrating Factors
  • 2.6 Substitutions and Transformations

3. Mathematical Models and Numerical Methods Involving First Order Equations

  • 3.1 Mathematical Modeling
  • 3.2 Compartmental Analysis
  • 3.3 Heating and Cooling of Buildings
  • 3.4 Newtonian Mechanics
  • 3.5 Electrical Circuits
  • 3.6 Improved Euler's Method
  • 3.7 Higher-Order Numerical Methods: Taylor and Runge-Kutta

4. Linear Second-Order Equations

  • 4.1 Introduction: The Mass-Spring Oscillator
  • 4.2 Homogeneous Linear Equations: The General Solution
  • 4.3 Auxiliary Equations with Complex Roots
  • 4.4 Nonhomogeneous Equations: The Method of Undetermined Coefficients
  • 4.5 The Superposition Principle and Undetermined Coefficients Revisited
  • 4.6 Variation of Parameters
  • 4.7 Variable-Coefficient Equations
  • 4.8 Qualitative Considerations for Variable-Coefficient and Nonlinear Equations
  • 4.9 A Closer Look at Free Mechanical Vibrations
  • 4.10 A Closer Look at Forced Mechanical Vibrations

5. Introduction to Systems and Phase Plane Analysis

  • 5.1 Interconnected Fluid Tanks
  • 5.2 Elimination Method for Systems with Constant Coefficients
  • 5.3 Solving Systems and Higher-Order Equations Numerically
  • 5.4 Introduction to the Phase Plane
  • 5.5 Applications to Biomathematics: Epidemic and Tumor Growth Models
  • 5.6 Coupled Mass-Spring Systems
  • 5.7 Electrical Systems
  • 5.8 Dynamical Systems, Poincaré Maps, and Chaos

6. Theory of Higher-Order Linear Differential Equations

  • 6.1 Basic Theory of Linear Differential Equations
  • 6.2 Homogeneous Linear Equations with Constant Coefficients
  • 6.3 Undetermined Coefficients and the Annihilator Method
  • 6.4 Method of Variation of Parameters

7. Laplace Transforms

  • 7.1 Introduction: A Mixing Problem
  • 7.2 Definition of the Laplace Transform
  • 7.3 Properties of the Laplace Transform
  • 7.4 Inverse Laplace Transform
  • 7.5 Solving Initial Value Problems
  • 7.6 Transforms of Discontinuous Functions
  • 7.7 Transforms of Periodic and Power Functions
  • 7.8 Convolution
  • 7.9 Impulses and the Dirac Delta Function
  • 7.10 Solving Linear Systems with Laplace Transforms

8. Series Solutions of Differential Equations

  • 8.1 Introduction: The Taylor Polynomial Approximation
  • 8.2 Power Series and Analytic Functions
  • 8.3 Power Series Solutions to Linear Differential Equations
  • 8.4 Equations with Analytic Coefficients
  • 8.5 Cauchy-Euler (Equidimensional) Equations
  • 8.6 Method of Frobenius
  • 8.7 Finding a Second Linearly Independent Solution
  • 8.8 Special Functions

9. Matrix Methods for Linear Systems

  • 9.1 Introduction
  • 9.2 Review 1: Linear Algebraic Equations
  • 9.3 Review 2: Matrices and Vectors
  • 9.4 Linear Systems in Normal Form
  • 9.5 Homogeneous Linear Systems with Constant Coefficients
  • 9.6 Complex Eigenvalues
  • 9.7 Nonhomogeneous Linear Systems
  • 9.8 The Matrix Exponential Function

10. Partial Differential Equations

  • 10.1 Introduction: A Model for Heat Flow
  • 10.2 Method of Separation of Variables
  • 10.3 Fourier Series
  • 10.4 Fourier Cosine and Sine Series
  • 10.5 The Heat Equation
  • 10.6 The Wave Equation
  • 10.7 Laplace's Equation

Appendices

  1. Newton’s Method
  2. Simpson’s Rule
  3. Cramer’s Rule
  4. Method of Least Squares
  5. Runge-Kutta Procedure for n Equations

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