2025 (Current Year) Faculty Courses School of Computing Department of Mathematical and Computing Science Graduate major in Mathematical and Computing Science
Analysis on Continuous Systems
- Academic unit or major
- Graduate major in Mathematical and Computing Science
- Instructor(s)
- Shinya Nishibata / Zin Arai / Masaaki Umehara / Sakie Suzuki
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 3-4 Mon / 3-4 Thu
- Class
- -
- Course Code
- MCS.T401
- Number of credits
- 200
- Course offered
- 2025
- Offered quarter
- 1Q
- Syllabus updated
- Mar 19, 2025
- Language
- English
Syllabus
Course overview and goals
Differential equations are utilized to analyze the mathematical structure of nonlinear phenomena. In this lecture we introduce methods to handle differential equations. In the first half of lectures, we study basic theories such existence theorem. In the second half, we study more advanced theories to analyze the large time behavior of solutions.
Course description and aims
In this lecture, we study the basic concepts and methods to study the mathematical structure of nonlinear phenomena. We show the existence of solutions to ordinary differential equations. Then we discuss asymptotic analysis, bifurcation theory and limit cycle as special topics.
Keywords
Ordinary differential equations
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
The lectures provide the fundamentals of ordinary differential equations.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Existence of time local solution | Understand the contents covered by the lecture. |
| Class 2 | Uniqueness of solution | Understand the contents covered by the lecture. |
| Class 3 | Dependence of solution on parameter | Understand the contents covered by the lecture. |
| Class 4 | Existence of time global solution | Understand the contents covered by the lecture. |
| Class 5 | Linear approximation of autonomous system | Understand the contents covered by the lecture. |
| Class 6 | Stability and instability of equilibrium point | Understand the contents covered by the lecture. |
| Class 7 | Asymptotic analysis by linearization | Understand the contents covered by the lecture. |
| Class 8 | Lyapunov’ｓ method | Understand the contents covered by the lecture. |
| Class 9 | Asymptotic analysis by Lyapunov’ｓ method | Understand the contents covered by the lecture. |
| Class 10 | Stable, instable and center manifolds | Understand the contents covered by the lecture. |
| Class 11 | Asymptotic analysis by center manifold theorem | Understand the contents covered by the lecture. |
| Class 12 | Introduction to bifurcation theory | Understand the contents covered by the lecture. |
| Class 13 | Limit Cycle | Understand the contents covered by the lecture. |
| Class 14 | Poincaré–Bendixson theorem | Understand the contents covered by the lecture. |
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
Reference books, course materials, etc.
None.
Evaluation methods and criteria
By scores of reports.
Related courses
- MCS.T211 ： Applied Calculus
- MCS.T301 ： Vector and Functional analysis
- MCS.T311 ： Applied Theory on Differential Equations
- MCS.T304 ： Lebesgue Integration
Prerequisites
None.