Course: Measure and Integral

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Course title Measure and Integral
Course code KMA/MIM
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory, Compulsory-optional, Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Vodák Rostislav, RNDr. Ph.D.
  • Tomeček Jan, doc. RNDr. Ph.D.
  • Vencálek Ondřej, doc. Mgr. Ph.D.
Course content
1. Definition of measure and sigma-algebras. 2. Basic properties of measures. 3. Outer measure and the Caratheodory extension theorem. 4. The Lebesgue measure. 5. Measurable functions. 6. Sequences of measurable functions and types of convergence. 7. The Lebesgue integral. 8. Properties of the Lebesgue integral. 9. Generalized measures, the Hahn and Jordan decomposition. 10. Radon-Nikodym derivative. 11. The Fubini theorem.

Learning activities and teaching methods
Lecture, Demonstration
  • Attendace - 52 hours per semester
  • Homework for Teaching - 45 hours per semester
  • Preparation for the Exam - 80 hours per semester
Learning outcomes
Understand the abstract construction of an integral based on a measure.
Comprehension Understand the more abstract construction of an integral based on a measure.
Prerequisites
Differential and integral calculus of the functions of several variables.

Assessment methods and criteria
Oral exam

Credit: active participation during seminars. Exam: the student has to understand the subject and be able to prove all theorems.
Recommended literature
  • Bercovici, H., Brown, A., Pearcy, C. (2016). Measure and Integration. Springer.
  • J. Kopáček a kol. (2002). Příklady z matematiky pro fyziky III. Matfyzpress, Praha.
  • J. Lukeš, J. Malý. (1995). Measure and Intergral. Matfyzpress, Praha.
  • P. R. Halmos. (1950). Measure theory. New York, D. Van Nostrand Company.
  • V. Jarník. (1984). Integrální počet (I), (II).. Academia, Praha.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Mathematics (2020) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics (2023) Category: Mathematics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): General Physics and Mathematical Physics (2019) Category: Physics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Winter