The course is an introduction to the Fourier spectral analysis of
both periodic and nonperiodic functions.
After completing the course, students will be able to use methods of Fourier analysis to solve various problems, eg when solving differential equations.
Syllabus
Fourier series (FS):
3 equivalent forms of FS (complex, trigonometric and
amplitude-phase form),
Dirichlet kernel and pointwise convergence,
Fejér kernel and convergence in mean, convergence in spaces
$L^1$ and $L^2$, statements on cyclic convolution and correlation,
Parseval identities.
Fourier transform (FT):
existence and inversion (theorems by Fourier and Plancherel),
properties, statements on convolution and correlation,
Parseval identities, examples.
Multivariate Fourier series and transforms.
Literature
HOWELL, Kenneth B. Principles of Fourier Analysis (Principles of Fourier Analysis). Boca Raton-London-New York-Washington: Chapman & Hall, 2001. 776 pp. Studies in Advanced Mathematics. ISBN 0-8493-8275-0. info
BRACEWELL, Ronald Newbold. Fourier transform and its applications. 2nd ed. New York: McGraw-Hill, 1986. xx, 474 s. ISBN 0-07-007015-6. info
BRIGHAM, E. Oran. Fast Fourier transform. Englewood Cliffs: Prentice Hall, 1974. 252 s. ISBN 0-13-307496-. info
KUFNER, Alois and Jan KADLEC. Fourierovy řady (Fourier series). Praha: Academia, 1969. info
LASSER, Rupert. Introduction to fourier series. New York: Marcel Dekker, 1996. vii, 285 s. ISBN 0-8247-9610-1. info
HARDY, G. H. and W. W. ROGOSINSKI. Fourierovy řady : Fourier series (Orig.). Vyd. 1. Praha: SNTL - Nakladatelství technické literatury, 1971. 155 s. info