Fourier

Fourier Analysis and Distribution Theory

Jean Marie Joseph Fourier,       Laurent Schwartz
Fourier picture
Schwartz picture

Instructors

Intended for: Master Mathematics students

Prerequisits: Bachelor mathematics, preferably with linear analysis or Fourier analysis.

Course Evaluation

Please be so kind to fill out the course evaluation form at the mastermath site. Then mail it to me or hand it over at the day of presentations.

Presentation or Oral exam

Presentations are in Science Park!!

On Friday june 18 we organize a day for final oral presentations. Topic to be decided in consultation with one of the instructors. In case there are many presentations, or there are problems with the date, we take Monday June 14 as alternative.

You can also do an oral exam about the material in the course.

It may be that you need a grade (for e.g. Erasmus) earlier. You can do the oral in such a case a bit before thee final class.

Contact us!

Schedule presentations

Monday June 14
Science park Room A1.14
TimeStudentTitle
13.00SniekersTBA
14.00OomensLaplace Transform
15.00GangDistribution on a half plane and on a manifold with boundary
16.00StreekstraKakeya conjecture and restriction problem


Friday June 18
Science park Room A1.08
TimeStudentTitle
9.00TBA
10.00HalvorsenTBA
11.00SierkoTBA
12.00JansonsMellin Transforms
14.00ComelliAiry functions
15.00CiapponiTBA

For solidarity with your fellow students and because the talks should be interesting, we urge you all to attend your fellowstudents talks!

Overview


Time and place

Tuesdays 10-13.00, starting February 9.

Place Building "Euclides" Plantage Muidergracht 24.

Room: P 0:19

See also DATANOSE

WEEKLY OVERVIEW + TAKE HOME EXAM PROBLEMS AT THE BOTTOM OF THE PAGE

Introduction

In Fourier analysis one studies functions on R, Rn, or more general spaces by writing them as linear superpositions of elementary functions. This is very clear in the situation of periodic functions. These may often be expressed as a linear superpositions of exponentials with the same period. It is interesting to study the connection between functions and their Fourier transform for its own sake, but it has turned out that Fourier analysis is a powerful tool to handle problems in differential equations, signal analysis etcetera. When one studies the classes of functions that permit Fourier analysis, it soon becomes clear that one should study a larger class of objects, the so called distributions or generalized functions. In this course all these aspects will be dealt with to some extent.

Contents

Classical L2-theory of Fourier series. Convergence problems, periodic distributions and their Fourier theory, Distributions in Rn, Fourier transform, L2-theory, Schwartz class and tempered distributions, Fourier transforms of distributions, Sobolev space interpolation, microlocal theory, applications to differential operators, wavelets, lacunary series

Examination

Take home exercises, in class presentation, and or oral exam.

Organization

Tentatively lectures from 10-12, exercises 12-13. Instruction First weeks, Usually Wiegerinck, Last weeks Wiegerinck and Stolk will vary regularly.

Important

One hour of exercise class is not enough to do all the exercises. prepare at home, so that we can discuss what is difficult or unclear!

Literature

Weekly overview and Exercises to hand in

Hints and remarks for some of the exercises


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