| Academic Year |
2026Year |
School/Graduate School |
School of Science |
| Lecture Code |
HB100000 |
Subject Classification |
Specialized Education |
| Subject Name |
解析学A |
Subject Name (Katakana) |
カイセキガクA |
Subject Name in English |
Analysis A |
| Instructor |
OKAMOTO MAMORU |
Instructor (Katakana) |
オカモト マモル |
| Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Tues1-2,Thur3-4:SCI E209 |
| Lesson Style |
Lecture |
Lesson Style (More Details) |
Face-to-face |
Lectures using blackboards |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area(Area) |
25
:
Science and Technology |
| Course Area(Discipline) |
01
:
Mathematics/Statistics |
| Eligible Students |
|
| Keywords |
measure, sigma-additivity, measurable function, integration, monotone convergence theorem, dominated convergence theorem, Lebesgue measure, product measure, Fubini's theorem |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | Mathematics (Knowledge and Understanding) ・Understanding on primary theory of modern mathematics established on classical theory. (Abilities and Skills) ・To acquire basic mathematical abilities (Ability to understand concepts, calculation ability, argumentation ability). |
Class Objectives /Class Outline |
"Measure" is an abstraction of the concept of "quantity" such as length, area, volume, mass, probability, and number. Measure theory and the theory of integration based on it are extremely useful in various mathematical fields such as analysis, probability theory, and statistics, as well as in their applications. In this lecture, we will learn about measure theory and the theory of integration. |
| Class Schedule |
1. Measurable spaces 2. Measurable functions 3. Measure spaces 4. Monotone convergence theorem 5. Dominated convergence theorem 6. Completion 7. Outer measures 8. Extension theorem 9. Lebesgue measure 10. Product measurable spaces 11. Product measure spaces 12. Fubini's theorem 13. Properties of the Lebesgue measure 14. Change of variables 15. Application |
Text/Reference Books,etc. |
伊藤清三:ルベーグ積分入門(新装版)、裳華房 G. B. Folland: Real Analysis, Wiley, 2nd edition |
PC or AV used in Class,etc. |
moodle |
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on Preparation and Review |
For each lesson, make sure you can state definitions, notation, and theorem statements accurately, and that you can explain the flow and main ideas of theorem proofs. |
| Requirements |
Students are supposed to attend Exercises in Analysis A as well. |
| Grading Method |
Examination |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
Make sure to do thorough preparation and review. |
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |