SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Seminar on Function Spaces - NMMA454
Title: Seminář z prostorů funkcí
Guaranteed by: Department of Mathematical Analysis (32-KMA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2022
Semester: both
E-Credits: 3
Hours per week, examination: 0/2, C [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
Note: you can enroll for the course repeatedly
you can enroll for the course in winter and in summer semester
Guarantor: prof. RNDr. Luboš Pick, CSc., DSc.
prof. RNDr. Stanislav Hencl, Ph.D.
Class: M Mgr. MA
M Mgr. MA > Povinně volitelné
Classification: Mathematics > Functional Analysis, Real and Complex Analysis
Annotation -
Last update: T_KMA (02.05.2013)
At this seminar new results from theory of function spaces are lectured and discussed. The seminar is convenient for master students and PhD students.
Course completion requirements -
Last update: prof. RNDr. Luboš Pick, CSc., DSc. (31.07.2023)

Credit will be awarded for 50% attendance.

The nature of the subject rules out the possibility of a refer credit exam.

Literature -
Last update: prof. RNDr. Luboš Pick, CSc., DSc. (31.07.2023)

Recent papers and preprints in the field of function spaces.

C. Bennett and R. Sharpley: Interpolation of Operators, Academic Press, Princeton, 1988.

L. Pick, A. Kufner, O. John and S. Fučík: Function Spaces I, De Gruyter, Berlin, 2012.

Syllabus -
Last update: prof. RNDr. Luboš Pick, CSc., DSc. (28.01.2024)

This is a scientific seminar. New results from the theory of function spaces are lectured and discussed at this seminar. The seminar is convenient for postgraduate students and students of higher study classes.

Part of the seminar will be held online in the International Prague Seminar of Function Spaces frames.

Entry requirements -
Last update: prof. RNDr. Luboš Pick, CSc., DSc. (31.07.2023)

Basic knowledge in measure theory.

 
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