This course focuses on the fundamental mathematics of the partial differential equation (PDE) and methods to solve the PDE. Topics include "description of physical problems with PDE", "features of PDE", "typical method to get an analytical solution of PDE" and "numerical method to solve PDE". In the classes concerning "numerical methods", computer practices are scheduled.
PDE plays an important role as a common language to describe and solve various physical problems. It must be useful to acquire the skill to describe physical problems with PDE and to understand physical phenomena using PDE.
By the end of this course, students will be able to:
I. Describe typical physical problems in PDE.
II. Understand physical phenomena from PDE.
III. Solve various PDE by analytical method.
IV. Solve various PDE by numerical method.
Partial differential equation (PDE), modeling of the physical phenomena, advection equation, wave equation, diffusion/heat equation, Poisson equation, analytical solution, numerical solution
|✔ Specialist skills||Intercultural skills||Communication skills||Critical thinking skills||✔ Practical and/or problem-solving skills|
In the first half part of this course, theoretical aspects of PDE are introduced. In the latter half part, numerical methods to solve PDE and computer practices are discussed.
|Course schedule||Required learning|
|Class 1||Introduction of partial differential equation||Review mathematical definition and laws of partial difference. Learn types or categories of partial differential equations.|
|Class 2||Modeling of flow phenomena with the hyperbolic PDE||Learn the modeling of advection (transport) phenomena due to flow|
|Class 3||Analytical solution of the hyperbolic PDE (D'Alembert Solution)||Learn the method of analytical solution of the hyperbolic PDE using the D'Alembert Solution|
|Class 4||Analytical solution of the hyperbolic PDE (Fourier Series)||Learn the method of analytical solution of the hyperbolic PDE using the Fourier Series|
|Class 5||Modeling of diffusion phenomena with the parabolic PDE||Learn the modeling of diffusion phenomena|
|Class 6||Analytical solution of the parabolic PDE||Learn the method of analytical solution of the parabolic PDE|
|Class 7||Modeling of a steady state with the elliptic PDE and its analytical solution||Learn physical modeling of an elliptic PDE|
|Class 8||Numerical solution of PDE||Learn how to solve PDE using numerical methods|
|Class 9||Theory of numerical solution of PDE - Parabolic equations & elliptic equations equations||Learn the numerical solution of parabolic PDE based on Finite Difference Method|
|Class 10||Practice of numerical solution of PDE - Parabolic equations & elliptic equations||Implement a program to solve the parabolic and elliptic PDE|
|Class 11||Theory of numerical solution of PDE - Combined parabolic and hyperbolic equations||Learn the numerical solution of a combined parabolic and hyperbolic PDE based on Finite Difference Method|
|Class 12||Practice of numerical solution of PDE - Combined parabolic and hyperbolic equations||Implement a program to solve the combined parabolic and hyperbolic PDE|
|Class 13||Theory of numerical solution of PDE - Hyperbolic equations||Learn the numerical solution of hyperbolic PDE using multiple approaches|
|Class 14||Practice of numerical solution of PDE - Hyperbolic equations||Implement a program to solve the hyperbolic PDE|
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.
Advanced engineering mathematics, Erwin Kreiszig, John Wiley & Sons.
Ordinary Differential Equations and Physical Phenomena: A Short Introduction with Python (Kanda M. trans. Varquez, ACG), Asakura Publishing
available at University Coop, and online bookstores like Amazon, Rakuten, and publisher's website.
Advanced engineering mathematics, Erwin Kreiszig, John Wiley & Sons. (English)
https://docs.python.org/3/ for python.
Students' knowledge of "description of physical phenomena with PDE", "analytical solution of PDE", "numerical solution of PDE", and their ability to apply them to problems will be assessed. The first half part of class 1-7 is evaluated through a midterm exam and exercise problems, the later part of class 9-15 is assessed by an end-of-term report. Note that this criteria is subject to change due to the COVID19 pandemic situation.
Students must have successfully completed "Ordinary Differential Equations and Physical Phenomena" or have equivalent knowledge.