Measure and Integral Theory 360-MS2-1TM
Educational profile: general academic
Form of studies: full-time
Compulsory subject
Field: exact and natural sciences, discipline: mathematics
Year of study: 1, semester: 1
Pre-props: none
lecture 30 hours exercises 30 hours
Didactic methods: lectures, calculating exercises, consultations, work on literature, solving homework, discussions in problem groups.
ECTS credits: 6
Balance of student workload:
participation in lectures 15x2h = 30h
participation in exercises 15x3h = 30h
preparation for classes 10x3h = 30h
completing solving tasks started during the exercises and preparing notes at home after the classes (lectures, exercises) 7x2h = 14h
participation in consultations 12x1h = 12h
preparation for the exam and participation in it 16h + 4h = 20h
preparation for tests 3x4h = 12h
solving homework 6x2h = 12h
Quantitative indicators
student workload related to classes requiring the direct participation of an academic teacher: 76 hours, 3 ECTS
Type of course
Mode
(in Polish) w sali
Blended learning
Prerequisites (description)
Course coordinators
Learning outcomes
Understands differences and the advantage of the Lebesgue integral over the Riemann integral; knows the basic properties of the Lebesgue integral. He knows the basic theorems about crossing the boundary under the sign of the integral and the Radon-Nikodym theorem; understand the Radon-Nikodym derivative. He can calculate integrals of simple functions with respect to abstract measures. He can distinguish between metric structures, including structures on families of sets. He can apply the basic theorems about crossing the limit into the integral sign.
KA7_WG03, KA7_UW02, KA7_UW07
Assessment criteria
General form of assessment: exam (oral or oral and written) and tests
The exam topics include:
1. σ-algebras of sets: definition, properties, examples, σ-algebras generated by families of sets, σ-algebra of Borel sets on Rn - different types of generators.
2. Measures: properties, continuity of measure vs. σ-additivity, examples of measures.
3. Uniqueness of measure: λ-systems, the Lemma on λ and π-systems, and Dynkin's uniqueness theorem.
4. Corollaries of the Uniqueness Theorem: uniqueness of the Lebesgue measure, invariance of measures under shifts on Rn.
5. Caratheodori's theorem on the extension of a measure from a semiring to a σ-algebra of sets: semiring, outer measure, extension from a semiring to a ring, measurable sets (satisfying the Caratheodori condition).
6. Existence of the Lebesgue-Stieltjes measure (σ-additivity).
7. Measurable mappings: characterizations, properties, examples.
8. The image of a measure under a measurable mapping: definition, examples, the image of the Lebesgue measure under invertible linear mappings.
9. Real measurable functions and simple functions: definitions, examples, properties, approximation of measurable functions by simple functions.
10. Definition and properties of an integral: formula for simple functions, nonnegative functions, and general definition. Properties of the integral and examples.
11. Radon-Nikodym theorem: absolutely continuous measures, examples.
12. Change of variables in an integral: General theorem, corollaries, and examples (absolute continuity of the Lebesgue-Stieltjes measure, continuous distributions in probability).
13. Theorems on transitions with a limit under an integral: Levi's theorem (on monotone convergence), Lebesgue's theorem (on majorized convergence), and Fatou's lemma, with examples.
14. Product measures and iterated integrals: construction and existence of a product measure, Tonelli's theorem, and Fubini's theorem.
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Bibliography
P. Halmos, Measure theory, van Nostrand, Princeton, 1956.
S. Łojasiewicz, Wstęp do teorii funkcji rzeczywistych, PWN, 1987
W. Rudin, Analiza rzeczywista i zespolona, PWN, Warszawa, 2009.
A. Birkholc Analiza matematyczna. Funkcje wielu zmiennych, PWN 1986.
Additional information
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