MU:MU20025 Functional Analysis - Course Information
MU20025 Functional Analysis
Mathematical Institute in OpavaWinter 2021
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Jana Kopfová, Ph.D. (lecturer)
RNDr. Petr Vojčák, Ph.D. (seminar tutor) - Guaranteed by
- prof. RNDr. Miroslav Engliš, DrSc.
Mathematical Institute in Opava - Timetable
- Wed 9:45–11:20 RZ
- Timetable of Seminar Groups:
- Prerequisites (in Czech)
- MU20004 Mathematical Analysis IV && MU20006 Algebra II && TYP_STUDIA(B)
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Mathematical Methods and Modelling (programme MU, Bc-M)
- General Mathematics (programme MU, Bc-M)
- Course objectives
- The goal of the course is to get students acquainted with basic linear functional analysis including the theory of distributions (generalized functions).
- Syllabus
- 1. Metric spaces: metric and its definition, examples, metric derived from a norm, inner product spaces; topology of metric spaces: open sets, convergence, continuous mappings, compactness, separability, connectedness; uniform continuity and completeness, Baire's category theorem.
2. Hilbert and Banach spaces: Hilbert space, definition, examples; closest point theorem and Riesz representation theorem; spectral theory for compact operators, Fredholm's integral equations; Banach spaces: definition and examples; separation of convex sets and Hahn-Banach theorem; dual spaces, weak convergence and Banach-Steinhaus theorem; open mapping theorem and closed graph theorem.
3. Theory of distributions: vector space topology generated by a system of seminorms and its fundamental properties, strict inductive limit of locally convex topological vector spaces; gauge functional and Kolmogorov's criterion, countably normed spaces, examples of locally convex function spaces; dual spaces and distributions, operations with distributions; tempered distributions and Fourier transform.
- 1. Metric spaces: metric and its definition, examples, metric derived from a norm, inner product spaces; topology of metric spaces: open sets, convergence, continuous mappings, compactness, separability, connectedness; uniform continuity and completeness, Baire's category theorem.
- Literature
- required literature
- B. Simon. Real Analysis: A Comprehensive Course in Analysis, Part I. 2015. info
- J. Muscat. Functional Analysis. 2014. info
- I. Netuka. Základy moderní analýzy. 2014. info
- H. W. Alt. Linear Functional Analysis: An Application-Oriented Introduction. 2012. info
- B.P. Rynne, M.A. Youngson. Linear Functional Analysis. 2000. info
- recommended literature
- W. Rudin. Functional Analysis. 1991. info
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period. - Teacher's information
- To obtain course credits it is necessary to solve three problems assigned to the student by the instructor. Final exam consists of two theoretical questions.
- Enrolment Statistics (Winter 2021, recent)
- Permalink: https://is.slu.cz/course/sumu/winter2021/MU20025