Applied Partial Differential Equations with Fourier Series and Boundary Value Problems (Classic Version), 5th edition

Published by Pearson (March 15, 2018) © 2019

  • Richard Haberman Southern Methodist University

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For courses in Differential Equations.

A modern classic

Applied Partial Differential Equations with Fourier Series and Boundary Value Problems, 5th Edition emphasizes the physical interpretation of mathematical solutions and introduces applied mathematics while presenting differential equations. Coverage includes Fourier series, orthogonal functions, boundary value problems, Green's functions, and transform methods. It is ideal for students in science, engineering, and applied mathematics.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

Hallmark features of this title

  • Step-by-step approach eases students into the material so they can build on their knowledge base. This text progresses from simple exercises to increasingly powerful mathematical techniques for solving more complicated and realistic physical problems.
  • Emphasis on examples and problem solving provides students with a thorough and reasoned approach to problem solving, stressing understanding.
  • Physical and mathematical derivations are addressed carefully to ensure that students are aware of assumptions being made.
  • Clear and lively writing style engages students and clearly explains details and ideas with patience and sustained enthusiasm.
  • 1,000 carefully prepared exercises of varying difficulty provide instructors with flexibility in the selection of material and provide students the background necessary to move on to harder exercises. Answers to selected exercises are available in the back of the book.
  • Learning aids are well organized and useful for students.

New and updated features of this title

  • Chapter 2 offers an improved, simpler presentation of the linearity principle, showing that the heat equation is a linear equation.
  • Chapter 4 contains a straightforward derivation of the vibrating membrane, an improvement over previous editions.
  • Additional simpler exercises now appear throughout the text.
  • Hints are offered for many of the exercises in which partial differential equations are solved in chapters 2, 4, 5, 7, and 10—the core of a typical first course. These hints often include the separation for the variables of variables themselves, so the problem is more straightforward for students.

1. Heat Equation

  • 1.1 Introduction
  • 1.2 Derivation of the Conduction of Heat in a One-Dimensional Rod
  • 1.3 Boundary Conditions
  • 1.4 Equilibrium Temperature Distribution
  • 1.5 Derivation of the Heat Equation in Two or Three Dimensions

2. Method of Separation of Variables

  • 2.1 Introduction
  • 2.2 Linearity
  • 2.3 Heat Equation with Zero Temperatures at Finite Ends
  • 2.4 Worked Examples with the Heat Equation: Other Boundary Value Problems
  • 2.5 Laplace's Equation: Solutions and Qualitative Properties

3. Fourier Series

  • 3.1 Introduction
  • 3.2 Statement of Convergence Theorem
  • 3.3 Fourier Cosine and Sine Series
  • 3.4 Term-by-Term Differentiation of Fourier Series
  • 3.5 Term-By-Term Integration of Fourier Series
  • 3.6 Complex Form of Fourier Series

4. Wave Equation: Vibrating Strings and Membranes

  • 4.1 Introduction
  • 4.2 Derivation of a Vertically Vibrating String
  • 4.3 Boundary Conditions
  • 4.4 Vibrating String with Fixed Ends
  • 4.5 Vibrating Membrane
  • 4.6 Reflection and Refraction of Electromagnetic (Light) and Acoustic (Sound) Waves

5. Sturm-Liouville Eigenvalue Problems

  • 5.1 Introduction
  • 5.2 Examples
  • 5.3 Sturm-Liouville Eigenvalue Problems
  • 5.4 Worked Example: Heat Flow in a Nonuniform Rod without Sources
  • 5.5 Self-Adjoint Operators and Sturm-Liouville Eigenvalue Problems
  • 5.6 Rayleigh Quotient
  • 5.7 Worked Example: Vibrations of a Nonuniform String
  • 5.8 Boundary Conditions of the Third Kind
  • 5.9 Large Eigenvalues (Asymptotic Behavior)
  • 5.10 Approximation Properties

6. Finite Difference Numerical Methods for Partial Differential Equations

  • 6.1 Introduction
  • 6.2 Finite Differences and Truncated Taylor Series
  • 6.3 Heat Equation
  • 6.4 Two-Dimensional Heat Equation
  • 6.5 Wave Equation
  • 6.6 Laplace's Equation
  • 6.7 Finite Element Method

7. Higher Dimensional Partial Differential Equations

  • 7.1 Introduction
  • 7.2 Separation of the Time Variable
  • 7.3 Vibrating Rectangular Membrane
  • 7.4 Statements and Illustrations of Theorems for the Eigenvalue Problem ∇2φ + λφ = 0
  • 7.5 Green's Formula, Self-Adjoint Operators and Multidimensional Eigenvalue Problems
  • 7.6 Rayleigh Quotient and Laplace's Equation
  • 7.7 Vibrating Circular Membrane and Bessel Functions
  • 7.8 More on Bessel Functions
  • 7.9 Laplace's Equation in a Circular Cylinder
  • 7.10 Spherical Problems and Legendre Polynomials

8. Nonhomogeneous Problems

  • 8.1 Introduction
  • 8.2 Heat Flow with Sources and Nonhomogeneous Boundary Conditions
  • 8.3 Method of Eigenfunction Expansion with Homogeneous Boundary Conditions (Differentiating Series of Eigenfunctions)
  • 8.4 Method of Eigenfunction Expansion Using Green's Formula (With or Without Homogeneous Boundary Conditions)
  • 8.5 Forced Vibrating Membranes and Resonance
  • 8.6 Poisson's Equation

9. Green's Functions for Time-Independent Problems

  • 9.1 Introduction
  • 9.2 One-dimensional Heat Equation
  • 9.3 Green's Functions for Boundary Value Problems for Ordinary Differential Equations
  • 9.4 Fredholm Alternative and Generalized Green's Functions
  • 9.5 Green's Functions for Poisson's Equation
  • 9.6 Perturbed Eigenvalue Problems
  • 9.7 Summary

10. Infinite Domain Problems: Fourier Transform Solutions of Partial Differential Equations

  • 10.1 Introduction
  • 10.2 Heat Equation on an Infinite Domain
  • 10.3 Fourier Transform Pair
  • 10.4 Fourier Transform and the Heat Equation
  • 10.5 Fourier Sine and Cosine Transforms: The Heat Equation on Semi-Infinite Intervals
  • 10.6 Worked Examples Using Transforms
  • 10.7 Scattering and Inverse Scattering

11. Green's Functions for Wave and Heat Equations

  • 11.1 Introduction
  • 11.2 Green's Functions for the Wave Equation
  • 11.3 Green's Functions for the Heat Equation

12. The Method of Characteristics for Linear and Quasilinear Wave Equations

  • 12.1 Introduction
  • 12.2 Characteristics for First-Order Wave Equations
  • 12.3 Method of Characteristics for the One-Dimensional Wave Equation
  • 12.4 Semi-Infinite Strings and Reflections
  • 12.5 Method of Characteristics for a Vibrating String of Fixed Length
  • 12.6 The Method of Characteristics for Quasilinear Partial Differential Equations
  • 12.7 First-Order Nonlinear Partial Differential Equations

13. Laplace Transform Solution of Partial Differential Equations

  • 13.1 Introduction
  • 13.2 Properties of the Laplace Transform
  • 13.3 Green's Functions for Initial Value Problems for Ordinary Differential Equations
  • 13.4 A Signal Problem for the Wave Equation
  • 13.5 A Signal Problem for a Vibrating String of Finite Length
  • 13.6 The Wave Equation and its Green's Function
  • 13.7 Inversion of Laplace Transforms Using Contour Integrals in the Complex Plane
  • 13.8 Solving the Wave Equation Using Laplace Transforms (with Complex Variables)

14. Dispersive Waves: Slow Variations, Stability, Nonlinearity, and Perturbation Methods

  • 14.1 Introduction
  • 14.2 Dispersive Waves and Group Velocity
  • 14.3 Wave Guides
  • 14.4 Fiber Optics
  • 14.5 Group Velocity II and the Method of Stationary Phase
  • 14.7 Wave Envelope Equations (Concentrated Wave Number)
  • 14.7.1 Schrödinger Equation
  • 14.8 Stability and Instability
  • 14.9 Singular Perturbation Methods: Multiple Scales

About our author

Richard Haberman is Professor of Mathematics at Southern Methodist University, having previously taught at The Ohio State University, Rutgers University, and the University of California at San Diego. He received S.B. and Ph.D. degrees in applied mathematics from the Massachusetts Institute of Technology. He has supervised six Ph.D. students at SMU. His research has been funded by NSF and AFOSR. His research in applied mathematics has been published in prestigious international journals and include research on nonlinear wave motion (shocks, solitons, dispersive waves, caustics), nonlinear dynamical systems (bifurcations, homoclinic transitions, chaos), singular perturbation methods (partial differential equations, matched asymptotic expansions, boundary layers) and mathematical models (fluid dynamics, fiber optics). He is a member of the Society for Industrial and Applied Mathematics and the American Mathematical Society. He has taught a wide range of undergraduate and graduate mathematics. He has published undergraduate texts on Mathematical Models (Mechanical Vibrations, Population Dynamics, and Traffic Flow) and Ordinary Differential Equations.

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