Modern Applied Mathematics I
Math 413-001 (Fall 2025)
Detailed Syllabus
The following table contains a tentative schedule for the course. This page will be updated regularly throughout the semester.
Week | Date(s) | Notes Pages | Book Sections | |
---|---|---|---|---|
I. Dimensional Analysis and Scaling | ||||
1 | 08/25 - 08/29 | 1. Basic Simplification | 1-6 | [H] 1.1, [LS] 6.1, [L] 1.1.1 |
2. Conditioning and Sensitivity | 7-11 | [LS] 6.1 | ||
2 | 09/01 | No class! (Labor Day) | ||
09/02 - 09/05 | 3. Dimensional Methods | 12-17 | [H] 1.2, [LS] 6.2, [L] 1.1.2 | |
4. The Buckingham Pi Theorem | 18-24 | [H] 1.3, [L] 1.1.3, 1.1.4 | ||
3 | 09/08 - 09/12 | 5. Scaling | 25-32 | [LS] 6.3, [L] 1.2.1, 1.2.3 |
II. Perturbation Methods | ||||
1. Formal Approximations for Root Finding | 33-37 | [H] 2.2.1, 2.2.2, [M] 1.2, 1.3 | ||
2. Expansions via Computer Algebra | 38-40 | [H] 2.2.2 | ||
4 | 09/15 - 09/19 | 3. The Implicit Function Theorem | 41-43 | |
4. Justification and Error Estimates | 44-48 | [M] 1.4 | ||
5. The Newton Polygon | 49-56 | [M] 1.5 | ||
5 | 09/22 - 09/26 | 6. Rescaled Coordinates | 57-61 | [H] 2.3, 2.4, [M] 1.6 |
7. Bifurcations | 62-68 | [L] 1.3.2 | ||
III. Perturbations of Differential Equations | ||||
6 | 09/29 - 10/03 | 1. Perturbations of Second-Order Linear Equations | 69-71 | [M] 2.1 |
2. Regular Perturbations of Initial Value Problems | 72-76 | [H] 2.2.3, [L] 3.1.1, [M] 2.4 | ||
Review for the Midterm Exam | ||||
7 | 10/06 - 10/10 | 3. Regular Perturbations of Boundary Value Problems | 77-79 | [M] 2.5 |
10/08 | Midterm Exam, 4:30pm-5:45pm | |||
8 | 10/13 | No class! (Fall Break) | ||
10/14 - 10/17 | 4. Oscillatory Problems and Secular Terms | 80-83 | [L] 3.1.2, [M] 4.1 | |
9 | 10/20 - 10/24 | 5. Poincare-Lindstedt Expansions | 84-90 | [L] 3.1.3, [M] 4.2 |
6. Boundary Layer Analysis | 91-94 | [H] 2.5, [L] 3.2.3, 3.3.1 | ||
10 | 10/27 - 10/31 | 7. Matched Asymptotic Expansions | 95-103 | [H] 2.6, [L] 3.3.2, 3.3.3, 3.3.4 |
IV. Stability and Bifurcations | ||||
1. Qualitative Study of Dynamical Systems | 104-112 | [L] 1.3.1, 2.1 | ||
11 | 11/03 - 11/07 | 2. Dynamics of Scalar Flows | 113-116 | [L] 1.3.1, 1.3.2 |
3. Effects of Parameter Variation | 117-123 | [L] 1.3.2, 2.4 | ||
12 | 11/10 - 11/14 | 4. Equilibrium Stability in Higher Dimensions | 124-130 | [H] 3.2.3, 3.5, [L] 2.2, 2.3 |
5. Case Study: The Tacoma Narrows Bridge | 131-139 | |||
V. Modeling with Differential Equations | ||||
13 | 11/17 - 11/21 | 1. The Law of Mass Action | 140-144 | [H] 3.2.1, [L] 2.5.1 |
2. Conservation Laws for the Kinetic Equations | 145-148 | [H] 3.2.2, [L] 2.5.1 | ||
14 | 11/24 - 11/25 | 3. Michaelis-Menten Enzyme Kinetics | 149-156 | [H] 3.3.1, 3.6, [L] 2.5.2 |
11/26 | No class! (Thanksgiving Break) | |||
15 | 12/01 - 12/05 | 4. The SIR Model for Epidemics | 157-161 | [H] 3.1.3, [L] 2.6.3 |
16 | 12/08 | 5. Epidemics with Reinfection and Vaccination | 162-167 | [H] 3.3.2, 3.5.3, [L] 2.6.1 |
12/10 | Final Exam, 4:30pm-7:15pm |
For the course, I will draw material from the following books:
- M.H. Holmes: Introduction to the Foundations of Applied Mathematics, Springer, 2019. [H]
- C.C. Lin, L.A. Segel: Mathematics Applied to Deterministic Problems in the Natural Sciences, SIAM, 1988. [LS]
- J.D. Logan: Applied Mathematics, Wiley, 2013. [L]
- J.A. Murdock: Perturbations, SIAM, 1999. [M]