Introduction to Partial Differential Equations with MATLAB

1 Preliminaries.- 1.1 Elements of analysis.- 1.2 Vector spaces and linear operators.- 1.3 Review of facts about ordinary differential equations.- 2 First-Order Equations.- 2.1 Generalities.- 2.2 First-order linear PDE's.- 2.3 Nonlinear conservation laws.- 2.4 Linearization.- 2.5 Weak solutions.- 2.6 Numerical methods.- 2.7 A conservation law for cell dynamics.- 2.8 Projects.- 3 Diffusion.- 3.1 The diffusion equation.- 3.2 The maximum principle.- 3.3 The heat equation without boundaries.- 3.4 Boundary value problems on the half-line.- 3.5 Diffusion and nonlinear wave motion.- 3.6 Numerical methods for the heat equation.- 3.7 Projects.- 4 Boundary Value Problems for the Heat Equation.- 4.1 Separation of variables.- 4.2 Convergence of the eigenfunction expansions.- 4.3 Symmetric boundary conditions.- 4.4 Inhomogeneous problems and asymptotic behavior.- 4.5 Projects.- 5 Waves Again.- 5.1 Acoustics.- 5.2 The vibrating string.- 5.3 The wave equation without boundaries.- 5.4 Boundary value problems on the half-line.- 5.5 Boundary value problems on a finite interval.- 5.6 Numerical methods.- 5.7 A nonlinear wave equation.- 5.8 Projects.- 6 Fourier Series and Fourier Transform.- 6.1 Fourier series.- 6.2 Convergence of Fourier series.- 6.3 The Fourier transform.- 6.4 The heat equation again.- 6.5 The discrete Fourier transform.- 6.6 The fast Fourier transform (FFT).- 6.7 Projects.- 7 Dispersive Waves and the Schrödinger Equation.- 7.1 Oscillatory integrals and the method of stationary phase.- 7.2 Dispersive equations.- 7.3 Quantum mechanics and the uncertainty principle.- 7.4 The Schrödinger equation.- 7.5 The spectrum of the Schrödinger operator.- 7.6 Projects.- 8 The Heat and Wave Equations in Higher Dimensions.- 8.1 Diffusion in higher dimensions.- 8.2 Boundary valueproblems for the heat equation.- 8.3 Eigenfunctions for the rectangle.- 8.4 Eigenfunctions for the disk.- 8.5 Asymptotics and steady-state solutions.- 8.6 The wave equation.- 8.7 Energy.- 8.8 Sources.- 8.9

"Cooper's book stands out among a host of PDE works. It not only adequately treats traditional core partial differential equation methods but also integrates analytic solutions with numerical schemes through the implementation of MATLAB routines. As an application-oriented book that provides the basic definitions, theorems, and analyses of the solutions, it contains the core topics needed for a sound background in partial differential equations.... One of the book's excellent features is the availability of illustrative and challenging problems, some of which have been cast in the form of MATLAB projects. Such features undoubtedly make this a suitable work for a laboratory component of an introductory PDEs course. Recommended. Undergraduates through faculty." -Choice

"Cooper's book stands out among a host of PDE works. It not only adequately treats traditional core partial differential equation methods but also integrates analytic solutions with numerical schemes through the implementation of MATLAB routines. As an application-oriented book that provides the basic definitions, theorems, and analyses of the solutions, it contains the core topics needed for a sound background in partial differential equations.... One of the book's excellent features is the availability of illustrative and challenging problems, some of which have been cast in the form of MATLAB projects. Such features undoubtedly make this a suitable work for a laboratory component of an introductory PDEs course. Recommended. Undergraduates through faculty."   -Choice