
An Introduction to Partial Differential Equations with MATLAB exposes the basic ideas critical to the study of PDEs-- characteristics, integral transforms, Green’s functions, and, most importantly, Fourier series and related topics. The author approaches the subject from a motivational perspective, detailing equations only after a need for them has been established. He uses MATLAB® software to solve exercises and to generate tables and figures. This volume includes examples of many important PDEs and their applications. The first chapter introduces PDEs and makes analogies to familiar ODE concepts, then strengthens the connection by exploring the method of separation of variables. Chapter 2 examines the “Big Three” PDEs-- the heat, wave, and Laplace equations, and is followed by chapters explaining how these and other PDEs on finite intervals can be solved using the Fourier series for arbitrary initial and boundary conditions. Chapter 5 investigates characteristics for both first- and second-order linear PDEs, the latter revealing how the Big Three equations are important far beyond their original application to physical problems. The book extends the Fourier method to functions on unbounded domains, gives a brief introduction to distributions, then applies separation of variables to PDEs in higher dimensions, leading to the special funtions, including the orthogonal polynomials. Other topics include Sturm-Liouville problems, adjoint and self-adjoint problems, the application of Green’s functions to solving nonhomogeneous PDEs, and an examination of practical numerical methods used by engineers, including the finite difference, finite element, and spectral methods.
This text investigates the fundamental principles of partial differential equations (PDEs) by bridging theoretical mathematical concepts with practical computational implementation using MATLAB. The author, Coleman P., utilizes a motivational pedagogical approach, introducing complex equations only after establishing their necessity in physical or engineering contexts. The volume provides a structured framework for understanding the behavior of PDEs, moving from basic analogies with ordinary differential equations to advanced numerical methods.
What You Will Find
Experts and educators frequently highlight this text as a balanced resource for students who require both theoretical grounding and hands-on computational experience. Readers often note the clarity of the motivational approach, which makes the transition from ODEs to higher-dimensional PDEs accessible for engineering and physics students.
Page Count:
688
Publication Date:
2004-09-29
Publisher:
Chapman & Hall/CRC
ISBN-10:
0203504879
ISBN-13:
9780203504871
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