Course on Fourier analysis and Distribution theory: September -
December 2002
Name of course: Fourier analysis and Distribution theory
Course code: OWIN W406
Time: Monday 13.15-16.00, room P.015B, Euclides building
First session: Monday 2 September 2002, 13.15 hour, room P.015B.
This is only for discussing the way this course will be organized.
Detailed treatment of material will start on 9 September.
Last session: Monday 6 Janaury 2003, 13.15 hour.
Lecturer:
T.H. Koornwinder
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Prerequisites:
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Required:
elementary real analysis, elementary Hilbert space theory
Helpful:
Lebesgue integration theory, elementary Banach space theory,
elementary complex analysis
Contents:
Fourier series, Fourier integrals, wavelets, distributions,
tempered distributions
Form of teaching:
Lecture/reading course (first two hours of each session),
exercise class (last hour of each session), some additional
exercises using a computer algebra package
Form of examination:
Take home exercises
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Literature:
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Fourier series and integrals:
Course notes on Fourier analysis by T.H. Koornwinder, with adaptations
by J. Wiegerinck
Further reading with more advanced material:
syllabus Advanced Fourier analysis
by J. Wiegerinck.
Wavelets: to be announced, see for a first orientation
T.H. Koornwinder (ed.),
Wavelets: an elementary treatment of theory and applications,
World Scientific, 1993
and/or
I. Daubechies,
Ten lectures on wavelets,
CBMS-NSF Regional Conference Series in Applied Mathematics 61,
SIAM, 1992
Distributions:
G. Friedlander and M. Joshi,
Introduction to the theory of distributions,
Cambridge University Press, 1999,
second printing (paperback)
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Program
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14 sessions, one per week:
- 5 sessions on Fourier analysis
- 3 sessions on wavelets
- 6 sessions on distributions
Students are expected to have read already the part of syllabus or book to
be treated in a session, and to have made some of the exercises to be
discussed during a session.
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Take home exercises
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For take home exercises, to be submitted, you may choose exercises which
were on the list for discussion during class, but actually were
not discussed. These are:
1.26, 1.27, 1.32, 2.7, 2.22,
2.25, 3.8, 3.16, 3.17,
4.16, 4.21, 5.2, 5.4, 5.12, 7.9, 7.12,
8.9, 9.4, 9.5.
Any other exercises from the syllabus, not yet discussed in class,
may also be chosen.
There is an error in the formulation of Exercise 9.5 in the syllabus.
Change the first line of Exercise 9.5 into:
"Apply (9.1) with f as in Exercise 7.9 in order to show that"
- 6 January
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To be treated in Friedlander:
Chapter 8
- 9 December
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To be treated in Friedlander:
Chapter 5
- 2 December
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To be treated in Friedlander:
Chapter 4
- 25 November
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Treated in Friedlander:
theory of Chapter 3, in particular section 3.1;
exercise 3.2; hints for exercises 3.1 and 3.3.
- 18 November
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Treated in Friedlander: theory of sections 2.4 and 2.7;
exercises 2.4, 2.9, 2.10.
Download for solution of second part of exercise 2.4:
ps file.
- 11 November
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Treated in Friedlander:
section 1.3 and parts of Chapter 2.
We did also exercises 2.1, 2.2.
- 4 November
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Treated:
Parts of Chapter 1 of the book
G. Friedlander and M. Joshi,
Introduction to the theory of distributions,
Cambridge University Press, 1999,
second printing (paperback).
We did also exercises 1.2, 1.3, 1.4.
- 28 October (session was canceled)
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To be treated:
continuation of paper by Alm and Walker and accompanying software
(see 14 October) with emphasis on wavelets.
- 14 October
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Syll. Fourier Analysis, Chapter 10.2 (Fourier transform on finite cyclic
groups),
section 10.13 (discetization of Fourier transform),
windowed Fourier transform (section 8 in the
Chapter on The continuous wavelet transform in
T.H. Koornwinder (ed.),
Wavelets: an elementary treatment of theory and applications),
spectograms (sections 3.1 and 3.2 in
J.F. Alm and J.S. Walker,
Time-frequency analysis of musical instruments,
SIAM Review 44 (2002), no.3, pp. 457-476.
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Also computer demonstration:
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approximation of periodic functions by
finite Fourier sums (or Cesaro means of them) and of the
Gibbs phenomenon,
part of the software
(for Windows PC) accompanying the paper by Alm and Walker.
We demonstrated Fourier transforms and spectograms of sound samples
from flute, piano and guitar.
- 7 October
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Syll. Fourier Analysis,
chapters 8 (L2 theory) and 9 (Poisson summation formula).
Exercise: 8.12
- 30 September
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Syll. Fourier Analysis,
chapters 6 (Generalities about Fourier integrals) and
7 (Inversion formula).
Exercises:
6.11, 6.19, 6.20.
- 23 September
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Syll. Fourier Analysis,
chapters 3.5 (Uniform convergence of Fourier series),
3.6 (Gibbs phenomenon) and 4 (The Fejér kernel),
5.1 (The isoperimetric inequality).
Exercises:
3.27, 4.5, 4.22, 5.3.
- 16 September
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Syll. Fourier Analysis,
chapters 2.2 (Fubini), 2.3 (Convolution) and
3.1-3.4 (Dirichlet kernel).
Treated exercises:
2.18, 2.21, 3.7.
- 9 September
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Syll. Fourier Analysis,
chapters 1 (L2 theory) and
2.1 (growth rates of Fourier coefficients).
Treated exercises: 1.25, 2.24.
Recommended for take home exercises: a choice of
1.26, 1.27, 1.32, 2.7, 2.22.
to Tom Koornwinder's home page