2022　Real Analysis II

Font size  SML

Instructor(s)
Onodera Michiaki
Class Format
Lecture / Exercise    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Tue3-6(H1104)
Group
-
Course number
MTH.C306
Credits
2
2022
Offered quarter
2Q
Syllabus updated
2022/3/16
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This course is a continuation of "Real Analysis I" in the first quarter. In this course, we deal with more advanced concepts and properties of measures and integration by means of measures (Lebesgue integration). We first explain construction and extension of measure. Second, we show the relation between Lebesgue integral and Riemann integral. Third, we introduce function spaces defined by means of integration and studies their basic properties. Finally, we study the Fubini theorem as a measure-theoretic treatment of (iterated) integral on product spaces.
The theory of measures and integrations was constructed by Lebesgue on the basis of set theory. These concepts are a natural extension of length, area, volume and probability etc. We can naturally handle operations involving infinity (e.g. limit for figures and functions) within the framework of this theory. In this course, we would like to address how the notion of integration is extended by Lebesgue integration and how effective it is in analysis.

Student learning outcomes

Students are expected to:
Be able to explain the outline of basic construction of measures
Be able to explain the difference between Lebesgue integration and Riemann integration.
Be able to apply the theory of Lebesgue integration to problems in calculus.
Be familiar with the notion of functional inequalities in integration and function spaces defined by integration.
Be able to apply the Fubini theorem to calculate multiple integrals and iterated integrals correctly.

Keywords

Hopf's extension theorem, outer measure, Caratheodory measurability, Dynkin system therem, Riemann integral, H\"older's inequality, Minkowski's inequality, Lebesgue space, product measure, Fubini theorem

Competencies that will be developed

 ✔ Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Alternation of standard lecture course and problem session.

Course schedule/Required learning

Course schedule Required learning
Class 1 Extension theorem for measures Details will be provided during each class session
Class 2 Problem session Details will be provided during each class session
Class 3 Outer measures and construction of measures Details will be provided during each class session
Class 4 Problem session Details will be provided during each class session
Class 5 Relation between Riemann integral and Lebesgue integral Details will be provided during each class session
Class 6 Problem session Details will be provided during each class session
Class 7 L^p-spaces and its completeness, fundamental functional inequalities Details will be provided during each class session
Class 8 Problem session Details will be provided during each class session
Class 9 Product measure and iterated integral Details will be provided during each class session
Class 10 Problem session Details will be provided during each class session
Class 11 Fubini theorem and its applications Details will be provided during each class session
Class 12 Problem session Details will be provided during each class session
Class 13 Extension of Fubini theorem Details will be provided during each class session
Class 14 Problem session Details will be provided during each class session

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

None required.

Reference books, course materials, etc.

"Real Analysis: Modern Techniques and Their Applications" Gerald B. Folland (Wiley)

Assessment criteria and methods

Examination, report and presentation.

Related courses

• MTH.C305 ： Real Analysis I
• MTH.C201 ： Introduction to Analysis I

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Student are required to have passed Real Analysis I.
Students are expected to have passed Introduction to Analysis I+II and Introduction to Topology I+II.