Fourier Series Fourier Transform And Their Applications To Mathematical Physics

Fourier Series, Fourier Transform and Their Applications to Mathematical Physics : Applied Mathematical Sciences by Valery SerovThe modern theory of analysis and differential equations in general certainly in-cludes the Fourier transform, Fourier series, integral operators, spectral theory ofdifferential operators, harmonic analysis and much more. This book combines allthese subjects based on a unified approach that uses modern view on all thesethemes. The book consists of four parts: Fourier series and the discrete Fouriertransform, Fourier transform and distributions, Operator theory and integral equa-tions and Introduction to partial differential equations and it outgrew from the half-semester courses of the same name given by the author at University of Oulu, Fin-land during 2005-2015.Each part forms a self-contained text (although they are linked by a commonapproach) and can be read independently. The book is designed to be a modernintroduction to qualitative methods used in harmonic analysis and partial differentialequations (PDEs). It can be noted that a survey of the state of the art for all parts ofthis book can be found in a very recent and fundamental work of B. Simon [35].This book contains about 250 exercises that are an integral part of the text. Eachpart contains its own collection of exercises with own numeration. They are not onlyan integral part of the book, but also indispensable for the understanding of all partswhose collection is the content of this book. It can be expected that a careful readerwill complete all these exercises.This book is intended for graduate level students majoring in pure and appliedmathematics but even an advanced researcher can find here very useful informationwhich previously could only be detected in scientific articles or monographs.Each part of the book begins with its own introduction which contains the facts(mostly) from functional analysis used thereinafter. Some of them are proved whilethe others are not.The first part, Fourier series and the discrete Fourier transform, is devoted tothe classical one-dimensional trigonometric Fourier series with some applicationsto PDEs and signal processing. This part provides a self-contained treatment of allwell known results (but not only) at the beginning graduate level. Compared withsome known texts (see [12, 18, 29, 35, 38, 44, 45]) this part uses many functionspaces such as Sobolev, Besov, Nikol'skii and Holder spaces. All these spaces are introduced by special manner via the Fourier coefficients and they are used in theproofs of main results. Same definition of Sobolev spaces can be found in [35]. Theadvantage of such approach is that we are able to prove quite easily the precise em-beddings for these spaces that are the same as in classical function theory (see [1, 3,26, 42]). In the frame of this part some very delicate properties of the trigonometricFourier series (Chapter 10) are considered using quite elementary proofs (see also[46]). The unified approach allows us also to consider naturally the discrete Fouriertransform and establish its deep connections with the continuous Fourier transform.As a consequence we prove the famous Whittaker-Shannon-Boas theorem about thereconstruction of band-limited signal via the trigonometric Fourier series (see Chap-ter 13). Many applications of the trigonometric Fourier series to the one-dimensionalheat, wave and Laplace equation are presented in Chapter 14. It is accompanied by alarge number of very useful exercises and examples with applications in PDEs (seealso [10, 17]).The second part, Fourier transform and distributions, probably takes a central rolein this book and it is concerned with distribution theory of L. Schwartz and its ap-plications to the Schrodinger and magnetic Schr ̈ odinger operators (see Chapter ̈ 32).

This text serves as an introduction to the modern theory of analysis and differential equations with applications in mathematical physics and engineering sciences. Having outgrown from a series of half-semester courses given at University of Oulu, this book consists of four self-contained parts. The first part, Fourier Series and the Discrete Fourier Transform, is devoted to the classical one-dimensional trigonometric Fourier series with some applications to PDEs and signal processing. The second part, Fourier Transform and Distributions, is concerned with distribution theory of L. Schwartz and its applications to the Schrdinger and magnetic Schrdinger operations. The third part, Operator Theory and Integral Equations, is devoted mostly to the self-adjoint but unbounded operators in Hilbert spaces and their applications to integral equations in such spaces. The fourth and final part, Introduction to Partial Differential Equations, serves as an introduction to modern methods for classical theory of partial differential equations. Complete with nearly 250 exercises throughout, this text is intended for graduate level students and researchers in the mathematical sciences and engineering.

In this book, distributions are introduced via sequences of functions. This approach due to Temple has two virtues:The Fourier transform is defined for functions and generalized to distributions, while the Green function is defined as the outstanding application of distributions. Using Fourier transforms, the Green functions of the important linear differential equations in physics are computed. Linear algebra is reviewed with emphasis on Hilbert spaces. The author explains how linear differential operators and Fourier transforms naturally fit into this frame, a point of view that leads straight to generalized fourier transforms and systems of special functions like spherical harmonics, Hermite, Laguerre, and Bessel functions.

This book is derived from lecture notes for a course on Fourier analysis for engineering and science students at the advanced undergraduate or beginning graduate level. Beyond teaching specific topics and techniques—all of which are important in many areas of engineering and science—the author's goal is to help engineering and science students cultivate more advanced mathematical know-how and increase confidence in learning and using mathematics, as well as appreciate the coherence of the subject. He promises the readers a little magic on every page. The section headings are all recognizable to mathematicians, but the arrangement and emphasis are directed toward students from other disciplines. The material also serves as a foundation for advanced courses in signal processing and imaging. There are over 200 problems, many of which are oriented to applications, and a number use standard software. An unusual feature for courses meant for engineers is a more detailed and accessible treatment of distributions and the generalized Fourier transform. There is also more coverage of higher-dimensional phenomena than is found in most books at this level.

This book helps students explore Fourier analysis and its related topics, helping them appreciate why it pervades many fields of mathematics, science, and engineering. This introductory textbook was written with mathematics, science, and engineering students with a background in calculus and basic linear algebra in mind. It can be used as a textbook for undergraduate courses in Fourier analysis or applied mathematics, which cover Fourier series, orthogonal functions, Fourier and Laplace transforms, and an introduction to complex variables. These topics are tied together by the application of the spectral analysis of analog and discrete signals, and provide an introduction to the discrete Fourier transform. A number of examples and exercises are provided including implementations of Maple, MATLAB, and Python for computing series expansions and transforms. After reading this book, students will be familiar with: • Convergence and summation of infinite series • Representation of functions by infinite series • Trigonometric and Generalized Fourier series • Legendre, Bessel, gamma, and delta functions • Complex numbers and functions • Analytic functions and integration in the complex plane • Fourier and Laplace transforms. • The relationship between analog and digital signals Dr. Russell L. Herman is a professor of Mathematics and Professor of Physics at the University of North Carolina Wilmington. A recipient of several teaching awards, he has taught introductory through graduate courses in several areas including applied mathematics, partial differential equations, mathematical physics, quantum theory, optics, cosmology, and general relativity. His research interests include topics in nonlinear wave equations, soliton perturbation theory, fluid dynamics, relativity, chaos and dynamical systems.

Integral Transforms and Their Applications, Third Edition covers advanced mathematical methods for many applications in science and engineering. The book is suitable as a textbook for senior undergraduate and first-year graduate students and as a reference for professionals in mathematics, engineering, and applied sciences. It presents a systematic development of the underlying theory as well as a modern approach to Fourier, Laplace, Hankel, Mellin, Radon, Gabor, wavelet, and Z transforms and their applications. New to the Third Edition New material on the historical development of classical and modern integral transforms New sections on Fourier transforms of generalized functions, the Poisson summation formula, the Gibbs phenomenon, and the Heisenberg uncertainty principle Revised material on Laplace transforms and double Laplace transforms and their applications New examples of applications in mechanical vibrations, electrical networks, quantum mechanics, integral and functional equations, fluid mechanics, mathematical statistics, special functions, and more New figures that facilitate a clear understanding of physical explanations Updated exercises with solutions, tables of integral transforms, and bibliography Through numerous examples and end-of-chapter exercises, this book develops readers’ analytical and computational skills in the theory and applications of transform methods. It provides accessible working knowledge of the analytical methods and proofs required in pure and applied mathematics, physics, and engineering, preparing readers for subsequent advanced courses and research in these areas.

Fourier transform theory is of central importance in a vast range of applications in physical science, engineering, and applied mathematics. This new edition of a successful student text provides a concise introduction to the theory and practice of Fourier transforms, using qualitative arguments wherever possible and avoiding unnecessary mathematics. After a brief description of the basic ideas and theorems, the power of the technique is then illustrated by referring to particular applications in optics, spectroscopy, electronics and telecommunications. The rarely discussed but important field of multi-dimensional Fourier theory is covered, including a description of computer-aided tomography (CAT-scanning). The final chapter discusses digital methods, with particular attention to the fast Fourier transform. Throughout, discussion of these applications is reinforced by the inclusion of worked examples. The book assumes no previous knowledge of the subject, and will be invaluable to students of physics, electrical and electronic engineering, and computer science.