2nd ed. — Springer, 2025. — 267 p. — (Synthesis Lectures on Mathematics & Statistics). — ISBN 3031599748.
This book provides a concise but thorough introduction to partial differential equations which model phenomena that vary in both space and time. The author begins with a full explanation of the fundamental linear partial differential equations
of physics. The text continues with methods to understand and solve these equations leading ultimately to the solutions of
Maxwell’s equations. The author then addresses nonlinearity and provides examples of
separation of variables, linearizing change of variables, inverse scattering transform, and numerical methods for select nonlinear equations. Next, the book presents rich sources of
advanced techniques and strategies for the study of nonlinear partial differential equations.
This second edition includes updates, additional examples, and a
new chapter on reaction–diffusion equations. Ultimately, this book is an essential resource for readers in
applied mathematics, physics, chemistry, biology, and engineering who are interested in learning about the myriad techniques that have been developed to model and solve linear and nonlinear partial differential equations.
Preface to the First Edition.
Preface to the Second Edition..
Acknowledgments.
Introduction.
The Equations of Maxwell.
Laplace’s Equation.
Fourier Series, Bessel Functions, and Mathematical Physics.
The Fourier Transform, Heat Conduction, and the Wave Equation.
The Three–Dimensional Wave Equation.
An Introduction to Nonlinear Partial Differential Equations.
Raman Scattering and Numerical Methods.
Reaction–Diffusion Equations.
The Hartman–Grobman Theorem.
Appendix: MatLAB Commands and Functions.
References.
Index.
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