Course detail

Functional Analysis and Function Spaces

FSI-9FAPAcad. year: 2023/2024

The course deals with basic topics of the functional analysis and function spaces and their application in analysis of probloms of mathematical physics.

Language of instruction


Number of ECTS credits


Mode of study

Not applicable.

Entry knowledge

Differential and integral calculus, numerical methods, ordinary differential equations.

Rules for evaluation and completion of the course

Examination has a practical and a theoretical part. In the practical part student has to illustrate the given topics on particular examples. Theoretical part includes questions related to the subject-matter presented at the lectures.
Absence has to be made up by self-study using lecture notes.


The aim of the course is to familiarise students with basic topics of the functional analysis and function spaces theory and their application to analysis of problems of mathematical physics.
Knowledge of basic topics of the metric, linear normed and unitary spaces,
Lebesgue integral and ability to apply this knowledge in practice.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Rektorys, K.: Variační metody v inženýrských problémech a v problémech matematické fyziky. SNTL, Praha, 1974. (CS)
Kufner, A., John, O., Fučík, S.: Function spaces. Academia, Praha, 1977. (EN)
Nečas, J.: Direct Methods in the Theory of Elliptic Equations, Springer, Heidelberg 2012. (EN)
Yosida, K. : Functional analysis, Springer, Berlin, 1965 (EN)
Ženíšek, A.: Nonlinear elliptic and evolution problems and their finite element approximations. Academic Press, London, 1990. (EN)

Recommended reading

Franců, J.: Funkcionální analýza 1, Akad. nakl. CERM, Brno 2014 (CS)
Čech, E.: Bodové množiny, Academia, Praha, 1974, 288 stran (CS)
Kolmogorov, A. N., Fomin, S. V. : Základy teorie funkcí a funkcionální analýzy SNTL, Praha 1975. (CS)

Classification of course in study plans

  • Programme D-APM-K Doctoral, 1. year of study, summer semester, recommended
  • Programme D-APM-P Doctoral, 1. year of study, summer semester, recommended

Type of course unit



20 hours, optionally

Teacher / Lecturer


1 Metric and metric spaces, examples.
2 Linear and normed linear spaces, Banach spaces.
3 Scalar product and Hilbert spaces.
4 Examples of spaces: R^n, C^n, sequential spaces, spaces of continuous and integrable functions.
5 Elements of Lebesgue integral, Lebesgue spaces.
6 Generalized derivations, Sobolev spaces.
7 Traces. Theorem on traces.
8 Imbedding theorems. Density theorem.
9 Lax-Milgram lemma and its application to solvability if differential equations.
10 Relation between differential and integral equations.