Fourier analysis and distribution theory by Pu Zhao Kow
Fourier analysis and distribution theory by Pu Zhao Kow
Fourier analysis and distribution theory by Pu Zhao Kow
This PDF covers
the following topics related to Fourier Analysis : Fourier series, Weak
derivatives, 1-dimensional Fourier series, n-dimensional Fourier series,
Pointwise convergence and Gibbs-Wilbraham phenomenon,Absolute convergence and
uniform convergence, Pointwise convergence: Dini's criterion,. Cesàro
summability of Fourier series, Fourier transform, Motivations, Schwartz space,
Fourier transform on Schwartz space, The space of tempered distributions,The
space of compactly supported distributions, Convolution of functions, Tensor products, Convolution of
distributions, Convolution between distributions and functions, Convolution of
distributions with non-compact supports, etc.
Author(s): Pu-Zhao Kow, Department
of Mathematics and Statistics, University of Jyvaskyla, Finland
This PDF book covers the following topics related to Fourier analysis
: Mathematical Preliminaries, Sinusoids, Phasors, and Matrices, Fourier Analysis
of Discrete Functions, The Frequency Domain, Continuous Functions, Fourier
Analysis of Continuous Functions, Sampling Theory, Statistical Description of
Fourier Coefficients, Hypothesis Testing for Fourier Coefficients, Directional
Data Analysis, The Fourier Transform, Properties of The Fourier Transform,
Signal Analysis, Fourier Optics.
Author(s): L.N. Thibos, Indiana University School of
Optometry
This PDF covers the following topics related to Fourier Analysis :
Introduction, Fourier series, The Fourier transform, The Poisson Summation
Formula, Theta Functions, and the Zeta Function, Distributions, Higher
dimensions, Wave Equations, The finite Fourier transform.
Author(s): Peter Woit, Department of Mathematics, Columbia
University
This lecture note
describes the following topics: Classical Fourier Analysis, Convergence
theorems, Approximation Theory, Harmonic Analysis on the Cube and Parseval’s
Identity, Applications of Harmonic Analysis, Isoperimetric Problems, The
Brunn-Minkowski Theorem and Influences of Boolean Variables, Influence of
variables on boolean functions , Threshold Phenomena.
This note is an overview of some basic notions is given, especially with
an eye towards somewhat fractal examples, such as infinite products of cyclic
groups, p-adic numbers, and solenoids. Topics covered includes: Fourier series,
Topological groups, Commutative groups, The Fourier transform, Banach algebras,
p-Adic numbers, r-Adic integers and solenoids, Compactifications and
Completeness.
The aim of this note is to give an introduction to nonlinear Fourier
analysis from a harmonic analyst’s point of view. Topics covered includes: The
nonlinear Fourier transform, The Dirac scattering transform, Matrix-valued
functions on the disk, Proof of triple factorization, The SU(2) scattering
transform, Rational Functions as Fourier Transform Data.
Author(s): Terence Tao, Christoph Thiele and Ya-Ju
Tsai
This lecture note
explains the following topics: Integration theory, Finite Fourier Transform,
Fourier Integrals, Fourier Transforms of Distributions, Fourier Series, The
Discrete Fourier Transform and The Laplace Transform.
This book
explains the following topics: Infinite Sequences, Infinite Series and
Improper Integrals, Fourier Series, The One-Dimensional Wave Equation, The
Two-Dimensional Wave Equation, Introduction to the Fourier Transform,
Applications of the Fourier Transform and Bessel’s Equation.
This book
focuses on the material analysis based on Fourier transform theory. The book
chapters are related to FTIR and the other methods used for analyzing different
types of materials.
Goal of this note is to explain
Mathematical foundations for digital image analysis, representation and
transformation. Covered topics are: Sampling Continuous Signals, Linear Filters
and Convolution, Fourier Analysis, Sampling and Aliasing.
This note provides an introduction to harmonic analysis and Fourier analysis
methods, such as Calderon-Zygmund theory, Littlewood-Paley theory, and the
theory of various function spaces, in particular Sobolev spaces. Some selected
applications to ergodic theory, complex analysis, and geometric measure theory
will be given.
This note covers the following topics: Measures and measure spaces, Lebesgue's measure, Measurable functions,
Construction of integrals, Convergence of integrals, Lebesgue's dominated
convergence theorem, Comparison of measures, The Lebesgue spaces, Distributions
and Operations with distributions.
This
note covers the following topics: Introduction and terminology, Fourier series,
Convergence of Fourier series, Integration of Fourier series, Weierstrass
approximation theorem, Applications to number theory, The isoperimetric
inequality and Ergodic theory.