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2025 (Current Year) Faculty Courses School of Science Undergraduate major in Mathematics

Real Analysis I

Academic unit or major
Undergraduate major in Mathematics
Instructor(s)
Yoshihiro Tonegawa
Class Format
Lecture/Exercise (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
3-6 Tue (M-B101(H102))
Class
-
Course Code
MTH.C305
Number of credits
110
Course offered
2025
Offered quarter
1Q
Syllabus updated
Mar 19, 2025
Language
Japanese

Syllabus

Course overview and goals

In this course, we deal with basic concepts and properties of measures and integration by means of measures (Lebesgue integral). We first explain basics of sigma-algebra and (countably additive) measure. It includes the study of Lebesgue measures which are one of the most fundamental measures. We next introduce measurable functions, which are candidates of integrand, and Lebesgue integration, and study their elementary properties. Finally, we study convergence theorems.
They would be a basis of integration theory as well as application of Lebesgue integration. This course will be succeeded by "Real Analysis II" in the second quarter.
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.

Course description and aims

Students are expected to:
Be familiar with the notion of sigma-algebra and measure.
Be able to explain the reason why given measurable functions are measurable.
Know the reason why elementary property of integration holds and be able to use them freely.
Be able to apply convergence theorems by checking their assumptions correctly.

Keywords

sigma-algebra, measurable space, measure, measure space, Lebesgue measure, measurable function, Lebesgue integration, monotone convergence theorem, Fatou's lemma, dominated convergence theorem

Competencies

  • 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/Objectives

Course schedule Objectives
Class 1

Overview of measure theory and Lebesgue integration

Details will be provided during each class session

Class 2

Problem session

Details will be provided during each class session

Class 3

Sigma-algebra

Details will be provided during each class session

Class 4

Problem session

Details will be provided during each class session

Class 5

(Countably additive) measure and its basic properties, completeness

Details will be provided during each class session

Class 6

Problem session

Details will be provided during each class session

Class 7

Measurable functions

Details will be provided during each class session

Class 8

Problem session

Details will be provided during each class session

Class 9

Definition of integral and its basic properties

Details will be provided during each class session

Class 10

Problem session

Details will be provided during each class session

Class 11

Convergence theorems (Monotone convergence theorem, Fatou's lemma and dominated convergence theorem ) and examples

Details will be provided during each class session

Class 12

Problem session

Details will be provided during each class session

Class 13

Applications of convergence theorems

Details will be provided during each class session

Class 14

Problem session

Details will be provided during each class session

Study advice (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.

Textbook(s)

None required.

Reference books, course materials, etc.

Basic of Lebesgue integral, Masanori Hino

Evaluation methods and criteria

Examination, report and presentation.

Related courses

  • MTH.C306 : Real Analysis II

Prerequisites

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