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About this book
While partial differential equations (PDEs) are fundamental in mathematics and throughout the sciences, most undergraduate students are only exposed to PDEs through the method of separation of variations. This text is written for undergraduate students from different cohorts with one sole purpose: to facilitate a proficiency in many core concepts in PDEs while enhancing the intuition and appreciation of the subject. For mathematics students this will in turn provide a solid foundation for graduate study. A recurring theme is the role of concentration as captured by Dirac's delta function. This both guides the student into the structure of the solution to the diffusion equation and PDEs involving the Laplacian and invites them to develop a cognizance for the theory of distributions. Both distributions and the Fourier transform are given full treatment.The book is rich with physical motivations and interpretations, and it takes special care to clearly explain all the technical mathematical arguments, often with pre-motivations and post-reflections. Through these arguments the reader will develop a deeper proficiency and understanding of advanced calculus. While the text is comprehensive, the material is divided into short sections, allowing particular issues/topics to be addressed in a concise fashion. Sections which are more fundamental to the text are highlighted, allowing the instructor several alternative learning paths. The author's unique pedagogical style also makes the text ideal for self-learning.
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Table of contents
- Preface
- Chapter 1. Basic Definitions
- Chapter 2. First-Order PDEs and the Method of Characteristics
- Chapter 3. The Wave Equation in One Space Dimension
- Chapter 4. The Wave Equation in Three and Two Space Dimensions
- Chapter 5. The Delta âFunctionâ and Distributions in One Space Dimension
- Chapter 6. The Fourier Transform
- Chapter 7. The Diffusion Equation
- Chapter 8. The Laplacian, Laplaceâs Equation, and Harmonic Functions
- Chapter 9. Distributions in Higher Dimensions and Partial Differentiation in the Sense of Distributions
- Chapter 10. The Fundamental Solution and Greenâs Functions for the Laplacian
- Chapter 11. Fourier Series
- Chapter 12. The Separation of Variables Algorithm for Boundary Value Problems
- Chapter 13. Uniting the Big Three Second-Order Linear Equations, and Whatâs Next
- Appendix. Objects and Tools of Advanced Calculus
- Bibliography
- Index