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9780470651377

Fourier Series and Numerical Methods for Partial Differential Equations

by
  • ISBN13:

    9780470651377

  • ISBN10:

    0470651377

  • Format: eBook
  • Copyright: 2010-07-01
  • Publisher: Wiley
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Summary

Learn the essential analytic and quantitative techniques for solving partial differential equations

The importance of partial differential equations (PDEs) in modeling phenomena in engineering as well as in the physical, natural, and social sciences is well known by students and practitioners in these fields. Striking a balance between theory and applications, Fourier Series and Numerical Methods for Partial Differential Equations presents an introduction to the analytical and numerical methods that are essential for working with partial differential equations. Combining methodologies from calculus, introductory linear algebra, and ordinary differential equations (ODEs), the book strengthens and extends readers' knowledge of the power of linear spaces and linear transformations for purposes of understanding and solving a wide range of PDEs.

The book begins with an introduction to the general terminology and topics related to PDEs, including the notion of initial and boundary value problems and also various solution techniques. Subsequent chapters explore: *

The solution process for Sturm-Liouville boundary value ODE problems and a Fourier series representation of the solution of initial boundary value problems in PDEs *

The concept of completeness, which introduces readers to Hilbert spaces *

The application of Laplace transforms and Duhamel's theorem to solve time-dependent boundary conditions *

The finite element method, using finite dimensional subspaces *

The finite analytic method with applications of the Fourier series methodology to linear version of non-linear PDEs

Throughout the book, the author incorporates his own class-tested material, ensuring an accessible and easy-to-follow presentation that helps readers connect presented objectives with relevant applications to their own work. Maple is used throughout to solve many exercises, and a related Web site features Maple worksheets for readers to use when working with the book's one- and multi-dimensional problems.

Fourier Series and Numerical Methods for Partial Differential Equations is an ideal book for courses on applied mathematics and partial differential equations at the upper-undergraduate and graduate levels. It is also a reliable resource for researchers and practitioners in the fields of mathematics, science, and engineering who work with mathematical modeling of physical phenomena, including diffusion and wave aspects.

Table of Contents

Preface
Acknowledgments
Introduction
Terminology and Notation
Classification
Canonical Forms
Common PDEs
Cauchy-Kowalevski Theorem
Initial Boundary Value Problems
Solution Techniques
Separation of Variables
Exercises
Fourier Series
Vector Spaces
The Integral as an Inner Product
Principle of Superposition
General Fourier Series
Fourier Sine Series on (0, c
Fourier Cosine Series on (0, c
Fourier Series on (¡ c; c
Best Approximation
Bessel's Inequality
Piecewise Smooth Functions
Fourier Series Convergence
2 c -Periodic Functions
Concluding Remarks
Exercises
Sturm-Liouville Problems
Basic Examples
Regular Sturm-Liouville Problems
Properties
Examples
Bessel's Equation
Legendre's Equation
Exercises
Heat Equation
Heat Equation in One Dimension
Boundary Conditions
Heat Equation in Two Dimensions
Heat Equation in Three Dimensions
Polar-Cylindrical Coordinates
Spherical Coordinates
Exercises
Heat Transfer in 1D
Homogeneous IBVP
Semi-homogeneous PDE
Non-homogeneous Boundary Conditions
Spherical Coordinate Example
Exercises
Heat Transfer in 2D and 3D
Homogeneous 2D IBVP
Semi-Homogeneous 2D IBVP
Non-Homogeneous 2D IBVP
2D BVP: Laplace & Poisson Equations
Non-homogeneous 2D Example
Time-Dependent BCs
Homogeneous 3D IBVP
Exercises
Wave Equation
Wave Equation in One Dimension
Wave Equation in Two Dimensions
Exercises
Numerical Methods: an Overview
Grid Generation
Numerical Methods
Consistency and Convergence
The Finite Difference Method
Discretization
Finite Difference Formulas
One-Dimensional Heat Equation
Crank-Nicolson Method
Error and Stability
Convergence in Practice
One-Dimensional Wave Equation
2D Heat Equation in Cartesian Coordinates
Two-Dimensional Wave Equation
2D Heat Equation in Polar Coordinates
Exercises
Finite Element Method
General Framework
1D Elliptical Example
2D Elliptical Example
Error Analysis
1D Parabolic Example
Exercises
Finite Analytic Method
1D Transport Equation
2D Transport Equation
Convergence and Accuracy
Exercises
FA One Dimensional Case
FA Two-Dimensional Case
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

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