Fourier analysis

Course objectives

General objectives: To acquire basic notions of harmonic analysis related to the continuous and discrete Fourier transform and Fourier series, and to know the main applications of these methods to both theoretical and practical problems. Specific objectives: Knowledge and understanding: by the end of the course the student will have acquired the main notions about continuous and discrete Fourier transform, Fourier series, wavelets, and their use in some theoretical and practical fields (differential equations, image processing, signal theory). Applying knowledge and understanding: at the end of the course the student will be able to solve basic level problems in harmonic analysis, will be familiar with Fourier transforms and Fourier series, and will be able to apply these techniques to the solution of various concrete problems. Critical and Judgmental Skills: the student will have the basis to understand when harmonic analysis techniques can be useful as tools for solving problems in various fields of analysis and its applications. Communication skills: ability to expose the contents in the oral part of the test and answer theoretical questions. Learning ability: the acquired knowledge will allow a study, individually or in a course, of more advanced aspects of harmonic analysis, and of more specific applicative topics.

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PIERO ANTONIO D'ANCONA Lecturers' profile

Program - Frequency - Exams

Course program
Introduction to Fourier Analysis. Fourier Transform on S, L^2 and S' Fourier Transform on Lp Methods of Harmonic Analysis Explicit Calculation of Transforms Uncertainty Principle Fourier Series Discrete Fourier Transform Some applications: - signal theory and Shannon-Nyquist Theorem - representation of solutions of PDEs - Strichartz estimates for the Schrodinger equation - Weyl's equidistribution theorem Multiresolution analysis: Haar and Daubechies wavelets
Prerequisites
Fundamentals of Calculus for functions of one and several real variables, Lebesgue integral theory, elements of Functional Analysis and theory of Hilbert Spaces
Books
All course topics are contained in a series of notes prepared by the lecturer and available to students from the beginning of the course. For more in-depth coverage of the topics covered in the course, see the additional bibliography
Frequency
Optional but strongly recommended
Exam mode
The final test consists of an oral examination on the results and methods described during the course
Bibliography
Fourier transform and Fourier series: Katznelson: An Introduction to Harmonic Analysis Dym, McKean: Fourier Series and Integrals Stein, Shakarchi: Fourier Analysis Discrete transforms, signal theory, wavelets: Wong: Discrete Fourier Analysis Nickolas: Wavelets, A Student Guide Gasquet, Witomski: Fourier Analysis and Applications
Lesson mode
Classroom and face-to-face lectures
PIERO ANTONIO D'ANCONA Lecturers' profile

Program - Frequency - Exams

Course program
Introduction to Fourier Analysis. Fourier Transform on S, L^2 and S' Fourier Transform on Lp Methods of Harmonic Analysis Explicit Calculation of Transforms Uncertainty Principle Fourier Series Discrete Fourier Transform Some applications: - signal theory and Shannon-Nyquist Theorem - representation of solutions of PDEs - Strichartz estimates for the Schrodinger equation - Weyl's equidistribution theorem Multiresolution analysis: Haar and Daubechies wavelets
Prerequisites
Fundamentals of Calculus for functions of one and several real variables, Lebesgue integral theory, elements of Functional Analysis and theory of Hilbert Spaces
Books
All course topics are contained in a series of notes prepared by the lecturer and available to students from the beginning of the course. For more in-depth coverage of the topics covered in the course, see the additional bibliography
Frequency
Optional but strongly recommended
Exam mode
The final test consists of an oral examination on the results and methods described during the course
Bibliography
Fourier transform and Fourier series: Katznelson: An Introduction to Harmonic Analysis Dym, McKean: Fourier Series and Integrals Stein, Shakarchi: Fourier Analysis Discrete transforms, signal theory, wavelets: Wong: Discrete Fourier Analysis Nickolas: Wavelets, A Student Guide Gasquet, Witomski: Fourier Analysis and Applications
Lesson mode
Classroom and face-to-face lectures
  • Lesson code10605830
  • Academic year2025/2026
  • CourseMathematics
  • CurriculumAlgebra e Geometria
  • Year2nd year
  • Semester1st semester
  • SSDMAT/05
  • CFU6