SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Selected Topics on Functional Analysis - NMMA342
Title: Vybrané partie z funkcionální analýzy
Guaranteed by: Department of Mathematical Analysis (32-KMA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2023
Semester: summer
E-Credits: 5
Hours per week, examination: summer s.:2/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Additional information: https://www.karlin.mff.cuni.cz/~cuth/
Guarantor: doc. RNDr. Bohumír Opic, DrSc.
Class: M Bc. OM
M Bc. OM > Povinně volitelné
M Bc. OM > Zaměření STOCH
Classification: Mathematics > Functional Analysis
Pre-requisite : {One 2nd year Analysis course}
Incompatibility : NMMA331, NRFA075
Interchangeability : NMMA331, NRFA075
Is incompatible with: NMMA942
Is pre-requisite for: NMSA351
Is interchangeable with: NRFA075, NMMA942
In complex pre-requisite: NMSA349
Annotation -
Last update: G_M (16.05.2012)
An introductory course in functional analysis for bachelor's program in General Mathematics, specialization Stochastics.
Aim of the course -
Last update: G_M (27.04.2012)

An introductory course in functional analysis.

Course completion requirements
Last update: doc. RNDr. Bohumír Opic, DrSc. (26.01.2024)

The credit from exercises is required to participate at the exam.

Condition for obtaining credit for excercises: active attendance at excercises.

Some more details may be found in the section "Requirements to the exam".

Literature -
Last update: doc. Mgr. Marek Cúth, Ph.D. (28.01.2022)

W. Rudin: Analýza v reálném a komplexním oboru, Academia, Praha, 2003

M. Fabian, P. Habala, P. Hájek, V. Montesions Santalucía, J. Pelant and V. Zizler: Banach space theory (the basis for linear and nonlinear analysis), Springer-Verlag New York, 2011

Teaching methods -
Last update: G_M (27.04.2012)

lecture and exercises

Requirements to the exam
Last update: doc. RNDr. Bohumír Opic, DrSc. (26.01.2024)

Ability to solve problem similar to those solved at the exercises, knowledge of the theory presented in the lecture, understanding.

Syllabus -
Last update: prof. RNDr. Ivan Netuka, DrSc. (05.09.2013)

1. Linear spaces

algebraic version of Hahn-Banach theorem

2. Hilbert spaces (a survey of results from the course in mathematical analysis :

orthogonal projection; orthogonalization; abstract Fourier series; representation of Hilbert space

3. Normed linear spaces; Banach spaces

bounded linear operators and functionals; representation of bounded linear functionals in a Hilbert space; Hahn-Banach theorem; dual space; reflexivity; Banach-Steinhaus theorem; open map theorem and closed graph theorem; inverse operator; spectrum of the operator; compact operator; examples of Banach spaces and their duals (integrable functions, continuous functions)

4. Locally convex spaces

Hahn-Banach theorem and separation of convex sets; weak convergence; weak topology; examples of locally convex spaces (continuous functions, differentiable functions)

 
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