SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Functional Analysis 1 - NMMA401
Title: Funkcionální analýza 1
Guaranteed by: Department of Mathematical Analysis (32-KMA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2023
Semester: winter
E-Credits: 8
Hours per week, examination: winter s.:4/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English, Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: prof. RNDr. Ondřej Kalenda, Ph.D., DSc.
Class: M Mgr. MA
M Mgr. MA > Povinné
M Mgr. MOD
M Mgr. MOD > Povinné
Classification: Mathematics > Functional Analysis
Is interchangeable with: NRFA050, NRFA051
Annotation -
Last update: doc. RNDr. Pavel Pyrih, CSc. (12.05.2022)
Mandatory course for master study programmes Mathematical analysis and Mathematical modelling in physics and technics. Recommended for the first year of master studies. The course is devoted to advanced topics in functional analysis - locally convex spaces and weak topologies, theory of distributions, vector integration, compact convex sets.
Course completion requirements -
Last update: prof. RNDr. Ondřej Kalenda, Ph.D., DSc. (07.09.2023)

The rules for 2023/2024:

The course is finished by a credit and an exam.Before passing the exam it is necessary to gain the credit.

The credit will be awarded after complete and correct solution of two homeworks and presenting a correct solution of one problem during the classes.

If the submitted solution of a homework is not complete and correct, a correction should be provided. The number of iterations is not a priori limited.

Detailed rules will be specified at the webpage of the lecturer.

Literature -
Last update: prof. RNDr. Ondřej Kalenda, Ph.D., DSc. (15.09.2023)

Rudin, W.: Functional analysis. Second edition, McGraw-Hill, Inc., New York, 1991 (chapters 1-3 and 6-7)

M.Fabian et al.: Banach Space Theory, Springer 2011 (chapter 3)

J.Diestel and J.J.Uhl: Vector measures, Mathematical Surveys and Monongraphs 15, American Mathematical Society 1977 (sections III.1-III.3)

R.R.Ryan: Introduction to tensor products of Banach spaces, Springer 2002 (sections 2.3 and 3.3)

Requirements to the exam -
Last update: doc. Mgr. Marek Cúth, Ph.D. (29.09.2022)

The exam is oral with the possibility of a written preparation. Mainly knowledge and understanding of the notions and theorems explained during the semester will be tested. In addition, solving selected problems using the methods explained during the course will be a part of the exam. The lectures are the main source of materials for the exam.

Syllabus -
Last update: prof. RNDr. Ondřej Kalenda, Ph.D., DSc. (09.05.2022)
1. Locally convex spaces

Definitions of a topological vector spaces and of a locally convex space

Minkowski functionals, seminorms, generating locally convex topologies using seminorms

Boundedness in a locally convex space

Metrizability and normability of locally convex spaces

Continuous linear mappings between locally convex spaces, linear functionals

Hahn-Banach theorem - extending and separating

Fréchet spaces

Weak topologies - topology generated by a subspace of the algebraic dual, weak and weak* topologies, Goldstine, Banach-Alaoglu, reflexivity and weak compactness, bipolar theorem

2. Elements of the theory of distributions

Space of test functions and the convergence in it

Distributions - definition, examples, operations, characterizations

order of a distribution, convergence of distributions

convolution of a distribution and a test function, approximate unit

convolution of two distributions - examples that it sometimes works

Schwarz space as a Fréchet space

Tempered distributions and their characterizations

Fouriera transform of tempered distributions

convolution of tempered distributions

possibuly the support of a distribution

3. Elements of vector integration

Measurability of vector-valued functions, Pettis theorem

Weak integrability, Dunford and Pettis integrals

Bochner integral

Bochner spaces

Duality of Bochner spaces (briefly, no proofs)

4. Convex compact sets

Extreme points

Krein-Milman theorem

integral representation theorem

Entry requirements -
Last update: prof. RNDr. Ondřej Kalenda, Ph.D., DSc. (01.09.2021)

Mandatory course for master study branches Mathematical analysis and Mathematical modelling in physics and technics. It is required to know notions, methods and results from the course Introduction to Functional Analysis NMMA331. Knowledge of basic concepts of general topology (topological spaces, continuous mappings, compactness) is recommended.

 
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