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Course detail

Functional Analysis II

Course unit code: FSI-SU2
Academic year: 2016/2017
Type of course unit: compulsory
Level of course unit: Master's (2nd cycle)
Year of study: 1
Semester: winter
Number of ECTS credits:
Learning outcomes of the course unit:
Knowledge of basic topics of functional analysis, of the theory of function spaces and linear operators. Problem solving skill mainly in Hilbert spaces, solution by means of abstract Fourier series and Fourier transform.
Mode of delivery:
90 % face-to-face, 10 % distance learning
Prerequisites:
Differential and integral calculus. Basics in linear algebra, Fourier analysis and functional analysis.
Co-requisites:
Not applicable.
Recommended optional programme components:
Not applicable.
Course contents (annotation):
Review of topics presented in the course Functional Analysis I.
Theory of bounded linear operators. Compact sets and operators.
Inverse and pseudoinverse of bounded linear operators.
Bases primer: orthonormal bases, Riesz bases and frames.
Spectral theory of self-adjoint compact operators.
Recommended or required reading:
L.Debnath, P.Mikusinski: Introduction to Hilbert spaces with Applications. 2-nd ed., Academic Press, London, 1999.
L.A.Ljusternik, V.J.Sobolev: Elementy funkcionalnovo analiza,
A.N.Kolmogorov, S.V.Fomin: Základy teorie funkcí a funkcionální analýzy, SNTL, Praha 1975.
J. Kačur: Vybrané kapitoly z matematickej fyziky I, skripta MFF UK, Bratislava 1984.
A.E.Taylor: Úvod do funkcionální analýzy. Academia, Praha 1973.
M. Švec: Integrálne rovnice, skripta MFF UK, Bratislava
Ch.Heil: A Basis Theory Primer, expanded edition, Birkhäuser, New York, 2011.
A.W.Naylor, G.R.Sell: Teória lineárnych operátorov v technických a prírodných vedách, Alfa, Bratislava 1971
A.Ženíšek: Funkcionální analýza II, skripta FSI VUT, PC-DIR, Brno 1999.
I.G.Petrovskij: Lekcii po teorii integralnych uravnenii,
Planned learning activities and teaching methods:
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
Assesment methods and criteria linked to learning outcomes:
Course-unit credit will be awarded on the basis of individual in-depth study of a selected topic and by answering questions related to the theoretical background.
Language of instruction:
Czech
Work placements:
Not applicable.
Course curriculum:
Not applicable.
Aims:
The aim of the course is to make students familiar with main results of linear functional analysis and their application to solution of problems of mathematical modelling.
Specification of controlled education, way of implementation and compensation for absences:
Absence has to be made up by self-study and possibly via assigned homework.

Type of course unit:

Lecture: 26 hours, optionally
Teacher / Lecturer: doc. RNDr. Vítězslav Veselý, CSc.
Syllabus: 1. Review: topological, metric, normed linear and inner-product spaces, revision,
direct product and factorspace
2. Review: dual spaces, continuous linear functionals, Hahn-Banach theorem,
weak convergence
3. Review: Fourier series, Fourier transform and convolution
4. Bounded linear operators
5. Adjoint and self-adjoint operatots incl. othogonal projection
6. Riesz Representation Theorem and Banach-Steinhaus Theorem
7. Unitary operators, compact sets and compact operators
8. Inverse of bounded linear operators in Banach and Hilbert spaces
9. Pseudoinverse of bounded linear operators in Hilbert spaces
10. Bases primer: orthonormal bases, Riesz bases and frames
11. Spectral theory of self-adjoint compact operators, Hilbert-Schmidt Theorem
12. Examples and applications primarily related to the field of Fourier analysis
and signal processing
13. Reserve
seminars: 13 hours, compulsory
Teacher / Lecturer: doc. RNDr. Vítězslav Veselý, CSc.
Syllabus: Refreshing the knowledge acquired in the course Functional analysis I and practising the topics presented at the lectures using particular examples of commonly used functional spaces and operators.

The study programmes with the given course