Introduction to Partial Differential Equations

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

This textbook is designed for a one year course covering the fundamentals of partial differential equations, geared towards advanced undergraduates and beginning graduate students in mathematics, science, engineering, and elsewhere. The exposition carefully balances solution techniques, mathematical rigor, and significant applications, all illustrated by numerous examples. Extensive exercise sets appear at the end of almost every subsection, and include straightforward computational problems to develop and reinforce new techniques and results, details on theoretical developments and proofs, challenging projects both computational and conceptual, and supplementary material that motivates the student to delve further into the subject.

No previous experience with the subject of partial differential equations or Fourier theory is assumed, the main prerequisites being undergraduate calculus, both one- and multi-variable, ordinary differential equations, and basic linear algebra. While the classical topics of separation of variables, Fourier analysis, boundary value problems, Green's functions, and special functions continue to form the core of an introductory course, the inclusion of nonlinear equations, shock wave dynamics, symmetry and similarity, the Maximum Principle, financial models, dispersion and solitons, Huygens'.

Principle, quantum mechanical systems, and more make this text well attuned to recent developments and trends in this active field of contemporary research. Numerical approximation schemes are an important component of any introductory course, and the text covers the two most basic approaches: finite differences and finite elements.

Peter J. Olver is professor of mathematics at the University of Minnesota. His wide-ranging research interests are centered on the development of symmetry-based methods for differential equations and their manifold applications. He is the author of over 130 papers published in major scientific research journals as well as 4 other books, including the definitive Springer graduate text, Applications of Lie Groups to Differential Equations, and another undergraduate text, Applied Linear Algebra.

A Solutions Manual for instrucors is available by clicking on "Selected Solutions Manual" under the Additional Information section on the right-hand side of this page.

Author(s): Peter J. Olver (auth.)
Series: Undergraduate Texts in Mathematics
Edition: 1
Publisher: Springer International Publishing
Year: 2014

Language: English
Pages: 635
Tags: Partial Differential Equations; Complex Systems; Fourier Analysis

Front Matter....Pages i-xxv
What Are Partial Differential Equations?....Pages 1-13
Linear and Nonlinear Waves....Pages 15-62
Fourier Series....Pages 63-119
Separation of Variables....Pages 121-179
Finite Differences....Pages 181-214
Generalized Functions and Green’s Functions....Pages 215-261
Fourier Transforms....Pages 263-289
Linear and Nonlinear Evolution Equations....Pages 291-338
A General Framework for Linear Partial Differential Equations....Pages 339-397
Finite Elements and Weak Solutions....Pages 399-434
Dynamics of Planar Media....Pages 435-501
Partial Differential Equations in Space....Pages 503-570
Back Matter....Pages 571-635