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Introduction to Applied Partial Differential Equations by John M. Davis - First Edition, 2013 from Macmillan Student Store
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Introduction to Applied Partial Differential Equations

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  • About
  • Digital Options
  • Contents
  • Authors

About

Displaying the content through equal parts computational proficiency, visualization, and physical interpretation of the problem at hand, Introduction to Applied Partial Differential Equations takes a new approach to partial differential equations to enhance comprehension.

Digital Options

E-book

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

Learn More

Contents

Table of Contents

Preface
 
1 Introduction to PDEs
1.1 ODEs vs. PDEs
1.2 How PDEs Are Born: Conservation Laws, Fluids, and Waves
1.3 Boundary Conditions in One Space Dimension
1.4 ODE Solution Methods
 
2 Fourier's Method: Separation of Variables
2.1 Linear Algebra Concepts
2.2 The General Solution via Eigenfunctions
2.3 The Coefficients via Orthogonality
2.4 Consequences of Orthogonality
2.5 Robin Boundary Conditions
2.6 Nonzero Boundary Conditions: Steady-States and Transients*
 
3 Fourier Series Theory
3.1 Fourier Series: Sine, Cosine, and Full
3.2 Fourier Series vs. Taylor Series: Global vs. Local Approximations*
3.3 Error Analysis and Modes of Convergence
3.4 Convergence Theorems
3.5 Basic L2 Theory
3.6 The Gibbs Phenomenon*
 
4 General Orthogonal Series Expansions
4.1 Regular and Periodic Sturm-Liouville Theory
4.2 Singular Sturm-Liouville Theory
4.3 Orthogonal Expansions: Special Functions
4.4 Computing Bessel Functions: The Method of Frobenius
4.5 The Gram-Schmidt Procedure*
 
5 PDEs in Higher Dimensions
5.1 Nuggets from Vector Calculus
5.2 Deriving PDEs in Higher Dimensions
5.3 Boundary Conditions in Higher Dimensions
5.4 Well-Posed Problems: Good Models
5.5 Laplace's Equation in 2D
5.6 The 2D Heat and Wave Equations

6 PDEs in Other Coordinate Systems
6.1 Laplace's Equation in Polar Coordinates
6.2 Poisson's Formula and Its Consequences*
6.3 The Wave Equation and Heat Equation in Polar Coordinates
6.4 Laplace's Equation in Cylindrical Coordinates
6.5 Laplace's Equation in Spherical Coordinates

7 PDEs on Unbounded Domains
7.1 The Infinite String: d'Alembert's Solution
7.2 Characteristic Lines
7.3 The Semi-infinite String: The Method of Reflections
7.4 The Infinite Rod: The Method of Fourier Transforms
 
Appendix
Selected Answers
Credits
Index

Authors

John M. Davis

John Davis received his Ph.D. in Mathematics from Auburn University in 1998 and joined the faculty at Baylor University in 1999.  His interdisciplinary research in ordinary and partial differential equations, hybrid dynamical systems, and applications to control theory and signal processing has been funded by the National Science Foundation, resulting in more than 50 peer reviewed publications. He won the Mathematical Association of America’s Distinguished University Teaching Award in 2009.


Displaying the content through equal parts computational proficiency, visualization, and physical interpretation of the problem at hand, Introduction to Applied Partial Differential Equations takes a new approach to partial differential equations to enhance comprehension.

E-book

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

Learn More

Table of Contents

Preface
 
1 Introduction to PDEs
1.1 ODEs vs. PDEs
1.2 How PDEs Are Born: Conservation Laws, Fluids, and Waves
1.3 Boundary Conditions in One Space Dimension
1.4 ODE Solution Methods
 
2 Fourier's Method: Separation of Variables
2.1 Linear Algebra Concepts
2.2 The General Solution via Eigenfunctions
2.3 The Coefficients via Orthogonality
2.4 Consequences of Orthogonality
2.5 Robin Boundary Conditions
2.6 Nonzero Boundary Conditions: Steady-States and Transients*
 
3 Fourier Series Theory
3.1 Fourier Series: Sine, Cosine, and Full
3.2 Fourier Series vs. Taylor Series: Global vs. Local Approximations*
3.3 Error Analysis and Modes of Convergence
3.4 Convergence Theorems
3.5 Basic L2 Theory
3.6 The Gibbs Phenomenon*
 
4 General Orthogonal Series Expansions
4.1 Regular and Periodic Sturm-Liouville Theory
4.2 Singular Sturm-Liouville Theory
4.3 Orthogonal Expansions: Special Functions
4.4 Computing Bessel Functions: The Method of Frobenius
4.5 The Gram-Schmidt Procedure*
 
5 PDEs in Higher Dimensions
5.1 Nuggets from Vector Calculus
5.2 Deriving PDEs in Higher Dimensions
5.3 Boundary Conditions in Higher Dimensions
5.4 Well-Posed Problems: Good Models
5.5 Laplace's Equation in 2D
5.6 The 2D Heat and Wave Equations

6 PDEs in Other Coordinate Systems
6.1 Laplace's Equation in Polar Coordinates
6.2 Poisson's Formula and Its Consequences*
6.3 The Wave Equation and Heat Equation in Polar Coordinates
6.4 Laplace's Equation in Cylindrical Coordinates
6.5 Laplace's Equation in Spherical Coordinates

7 PDEs on Unbounded Domains
7.1 The Infinite String: d'Alembert's Solution
7.2 Characteristic Lines
7.3 The Semi-infinite String: The Method of Reflections
7.4 The Infinite Rod: The Method of Fourier Transforms
 
Appendix
Selected Answers
Credits
Index

John M. Davis

John Davis received his Ph.D. in Mathematics from Auburn University in 1998 and joined the faculty at Baylor University in 1999.  His interdisciplinary research in ordinary and partial differential equations, hybrid dynamical systems, and applications to control theory and signal processing has been funded by the National Science Foundation, resulting in more than 50 peer reviewed publications. He won the Mathematical Association of America’s Distinguished University Teaching Award in 2009.


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