2021 Faculty Courses School of Computing Undergraduate major in Mathematical and Computing Science
Vector and Functional analysis
- Academic unit or major
- Undergraduate major in Mathematical and Computing Science
- Instructor(s)
- Hideyuki Miura / Jin Takahashi
- Class Format
- Lecture/Exercise
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Tue (W934) / 5-6 Fri (W932) / 7-8 Fri (W932)
- Class
- -
- Course Code
- MCS.T301
- Number of credits
- 210
- Course offered
- 2021
- Offered quarter
- 3Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
We will present the vector analysis and the functional analysis as the fundamental tools for the mathematical analysis.
The first half of this course is devoted to the calculus of scalar fields, vector fields.
In the last half of this course the fundamentals of the functional analysis such as Banach spaces, linear operators, Hilbert spaces, orthogonal decompositions and the Riesz representation theorem are given.
Course description and aims
The object of this course is to explain the vector analysis and the functional analysis as the fundamental tools for the mathematical analysis.
By completing this course, students will be able to:
1) understand the integrals of vector fields and master various integral formula.
2) understand fundamental properties of the Banach spaces and linear operators, the orthogonal decomposition and the Riesz representation theorems are given.
Keywords
vector fields, integral formula, Banach space, linear operators, Hilbert space
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
For the understanding of this course, it is necessary to be skilled at the contents by the calculation by hand. Therefore the exercise class is given.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Parametrization for curves and surfaces | Understand the contents of the lecture. |
| Class 2 | parametrization for curves and surfaces | Cultivate a better understanding of lectures. |
| Class 3 | Gradient, divergence and rotation | Understand the contents of the lecture. |
| Class 4 | Contour integral and surface integral | Understand the contents of the lecture. |
| Class 5 | Exercise for gradient, divergence, rotation, contour integral and surface integral | Cultivate a better understanding of lectures. |
| Class 6 | Integral theorems | Understand the contents of the lecture. |
| Class 7 | Banach spaces | Understand the contents of the lecture. |
| Class 8 | Exercise for Integral theorems and Banach spaces | Cultivate a better understanding of lectures. |
| Class 9 | Contraction mapping principle | Understand the contents of the lecture. |
| Class 10 | Review of Lebesgue's integral | Understand the contents of the lecture. |
| Class 11 | Exercise for contraction mapping principle and Lebesgue's integral | Cultivate a better understanding of lectures. |
| Class 12 | Function spaces | Understand the contents of the lecture. |
| Class 13 | Bounded linear operator | Understand the contents of the lecture. |
| Class 14 | Hilbert spaces | Understand the contents of the lecture. |
| Class 15 | Exercise for bounded linear operators and Hilbert spaces | Cultivate a better understanding of lectures. |
| Class 16 | Orthonormal system | Understand the contents of the lecture. |
| Class 17 | Orthogonal decomposition theorem | Understand the contents of the lecture. |
| Class 18 | Exercise for orthonormal system and orthogonal decomposition theorem | Cultivate a better understanding of lectures. |
| Class 19 | Riesz representation theorem | Understand the contents of the lecture. |
| Class 20 | Spectrum theorem | Understand the contents of the lecture. |
| Class 21 | Exercise for Riesz representation theorem and Spectrum theorem | Cultivate a better understanding of lectures. |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend a certain length of time outside of class on preparation and review (including for assignments), as specified by the Tokyo Institute of Technology Rules on Undergraduate Learning (東京工業大学学修規程) and the Tokyo Institute of Technology Rules on Graduate Learning (東京工業大学大学院学修規程), for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
To be announced
Reference books, course materials, etc.
To be announced
Evaluation methods and criteria
By scores of the examination and the reports.
Related courses
- LAS.M101 ： Calculus I / Recitation
- LAS.M105 ： Calculus II
- LAS.M102 ： Linear Algebra I / Recitation
- LAS.M106 ： Linear Algebra II
- MCS.T304 ： Lebesgue Interation
- MCS.T211 ： Applied Calculus
- MCS.T311 ： Applied Theory on Differential Equations
Prerequisites
The students are encouraged to understand the fundamentals in the calculus and the linear algebras.