Serial Number
29236
Course Number
MATH7419
Course Identifier
221 U5780
No Class
- 3 Credits
Compulsory
GRADUATE INSTITUTE OF MATHEMATICS / Institute of Applied Mathematical Sciences
GRADUATE INSTITUTE OF MATHEMATICS
Institute of Applied Mathematical Sciences
Compulsory- Van Tien Nguyen
- View Courses Offered by Instructor
COLLEGE OF SCIENCE Institute of Applied Mathematical Sciences
Tue 3, 4 / Thu 5
天數302
Type 3
30 Student Quota
NTU 30
No Specialization Program
- English
- NTU COOL
- NotesThe course is conducted in English。
NTU Enrollment Status
Enrolled0/30Other Depts0/0Remaining0Registered0- Course DescriptionThis course introduces mathematical methods for application to problems arising from physical and biological processes in terms of Nonlinear Partial Differential Equations (PDEs). It is addressed to graduate students and anyone with an interest in mathematical physics. The content is built around the following topics: first-order quasilinear equations, reaction-diffusion equations, aggregation-diffusion equations, free boundary problems and phase transitions, and wave equations. By PDE methodology, we study and solve these problems within a mathematically rigorous framework. The course also introduces simulation and symbolic calculation from Matlab Toolbox for solving PDEs.
- Course Objective- Derivation of physical models - Mathematical methods of solving different types of PDEs - Simulation and symbolic Matlab Toolbox for solving PDEs.
- Course RequirementBasic knowledge of differential and integral calculus in more than one dimen-sion, along with Linear Algebra, ODEs, and linear PDEs is strongly recommended.
- Expected weekly study hours after class12 hours
- Office Hour
Office hours: Thursday 2 - 3:30 pm
- Designated Reading1. Applied Partial Differential Equations by J. Ockendon, S. Howison, A. Lacey, A. Movchan Recommended: 2. Applied Partial Differential Equation: A Visual Approach by P. Markowich 3. Mathematical Concepts of Quantum Mechanics by S. Gustafson and I. M. Sigal 4. Singularities: Formation, Structure, and Propagation by J. Eggers and M. A. Fontelos
- References
- Grading
5% Attendance
If there is a necessary absence, you should notify the instructor.
25% Homework
There are 6 HW sets, each contributing 5% to the final grade. The lowest one will be discarded.
30% Midterm
Writing exam. Make sure you complete HWs.
40% Final
Writing exam or report replacement
- Adjustment methods for students
Adjustment Method Description Teaching methods Provide students with flexible ways of attending courses
Assignment submission methods Mutual agreement to present in other ways between students and instructors
Others Negotiated by both teachers and students
- Course Schedule
Week 1 First-order quasilinear equations: models, Cauchy problem, characteristics, domain of definition, blowup Week 2 First-order quasilinear equations: Solutions with discontinuities, generalized (weak) solutions, shock waves, energy estimates, and Riemann problem Week 3 Introduction to second-order scalar equations: models, Cauchy problem, characteristics, canonical forms Week 4 Fisher-KPP equation: models, traveling wave and stability Week 5 Predator-prey models, traveling wave and stability Week 6 Keller-Segel system: derivation, global solutions and long-time asymptotic behaviors. Week 7 Keller-Segel system: self-similarity, collapsing solutions and blowup behaviors. Week 8 Nonlinear Fokker-Planck equation. Midterm. Week 9 One-phase Stefan problem: derivation, existence and uniqueness of solutions, long-time asymptotic behavior. Week 10 One-phase Stefan problem: dynamics of melting ice balls. Week 11 Two-phase Stefan problem: derivation, existence and uniqueness of solutions, asymptotic behavior. Week 12 Semilinear wave equations: derivation, existence and uniqueness of solutions, asymptotic of global solutions Week 13 Semilinear wave equations: self-similarity, singularity formation Week 14 Nonlinear Schrödinger equation: derivation, solitary waves, stability Week 15 Nonlinear Schrödinger equation: self-similarity, singularity formation, stability Week 16 Final exam