Welcome to Partial Differential Equations! For course info and policies, please see the syllabus. For grades, log into Moodle. If you need help or have questions, please contact Prof. Wright

**Prof. Wright's office hours:** Mon. 2–3, Tues. 9:45–10:45, Wed. 9–10, Thurs 1–2, Fri. 10:30–11:30, or by appointment in RMS 405

**Help sessions:** Tues. 7–9pm RNS 204 (Oct. 24 through Nov. 14)

Jump to today

Do the following before next class:

- Complete the Syllabus Quiz.
- Read §1.1 through §1.4 in the textbook. Be sure you understand the derivations of Equations (1.2.4), (1.2.5), (1.2.9), and (1.2.10).
- Begin Homework 1.

Do the following before next class:

- Read §1.5. Note similarities between the derivation of the heat equation in one dimension and in multiple dimensions.
- Finish Homework 1 (due 4pm Thursday).

Do the following before next class:

- Finish deriving Laplace's equation in polar coordinates (solution in the notes from Thursday).
- Read §2.1 and §2.2. Come to class knowing the definition of a
*linear operator*and the*principle of superposition*. - Begin Homework 2.

Do the following before next class:

- Read §2.3. This is a long section, but the the first half (or so) should be somewhat familiar from class. Note what it means for functions to be
*orthogonal*. Also note how infinite series are used in the solutions toward the end of this section. - Finish Homework 2 (due 4pm Thursday).

Do the following before next class:

- Read the §2.3 Appendix (pages 54–55). Also read §2.4, and make sure you understand the two examples in this section.
- Begin Homework 3.

Do the following before next class:

- Read §2.5.1 and §2.5.2. Observe how separation of variables can be used to find equilibrium temperature distributions on a 2-dimensional region.
- Finish Homework 3 (due 4pm Thursday).

Do the following before next class:

- Read §3.1, §3.2, and §3.3 up to page 100.
- Begin Homework 4.

Do the following before next class:

- Read the rest of §3.3. Pay careful attention to the convergence of Fourier (sine/cosine) series.
- Finish Homework 4 (due 4pm Thursday).

Do the following before next class:

- Complete the take-home exam (TeX source).

Do the following before next class:

- Read §3.4. Make sure you understand the conditions under which Fourier series may be differentiated term by term.

Fall break! No class Tuesday, October 17.

Do the following before next class:

- Read §3.5 (it's short!). Note what happens when you integrate Fourier series.
- Do the problems on Homework 5. Typing solutions and turning them in for a grade is optional.

Do the following before next class:

- Read §4.1–4.4. Make sure you understand the derivation of the wave equation and the solution of the wave equation by separation of variables.
- Begin Homework 6.

Do the following before next class:

- Read §5.1–§5.3. Observe that the Sturm-Liouville equation generalizes most of the differential equations that we have considered in this course. Also note the six theorems for the regular Sturm-Liouville problem (in the big box on page 157).
- Finish Homework 6 (due 4pm Thursday).

Do the following before next class:

- Read §5.4. Note how the Sturm-Liouville theorems are applied and how the author shows that all eigenvalues are positive without knowing the eigenfunctions.
- Read §5.5. Take special note of the linear operator notation that is used to simplify the Sturm-Liouville equation. Also note Lagrange's identity and observe how the proofs in this section follow from it.
- Read the Final Project Information sheet and start thinking about what topic you might want to study.
- Begin Homework 7.

Do the following before next class:

- Re-read §5.5 to understand the proofs within. If you want to better understand connections between differential equations and linear algebra, read the Appendix to 5.5.
- Read §5.6. Observe how the Rayleigh quotient can provide a bound on the lowest eigenvalue.
- Finish Homework 7 (due 4pm Thursday).

Do the following before next class:

- Read §6.1 and §6.2. Observe how Taylor series can be used to approximate the value of a derivative of a function using values of the function at nearby points.
- Continue thinking about what you might want to work on for the Final Project.
- Begin Homework 8.

Do the following before next class:

- Read §5.7. This example should look familiar now!
- Read §6.3.1–§6.3.3. Observe how finite difference approximations for derivatives can be used to approximate solutions to the heat equation. Then take a look at the stability analysis in §6.3.4.
- Finish Homework 8 (due 4pm Thursday).

Thursday

Nov. 9

Nov. 9

Finite difference methods

Approximate solution to the heat equation: Mathematica notebook

Approximate solution to the heat equation: Mathematica notebook

Homework 8

due today

due today

Do the following before next class:

- Read §6.3.4, which expands on what we said in class about stability analysis. Read §6.3.6, about matrix notation, noting connections to linear algebra. Also take a look at the short subsections §6.3.7 and §6.3.8.
- Complete the Project Planning Survey on Moodle.
- Begin Homework 9.

Do the following before next class:

- Read §6.5. Observe how finite differences can be used to approximate the wave equation.
- Finish Homework 9 (due 4pm Thursday).

Thursday

Nov. 16

Nov. 16

Finite difference methods for the wave equation

*Take-home exam assigned*Homework 9

due today

due today

Do the following before next class:

- Complete the take-home exam (TeX source).

Thanksgiving break! No class Thursday, Nov. 23

Begin working on your project.

Tuesday

Nov. 28

Nov. 28

Work on projects

Work on your project. Identify sources, gather information, and make an outline for what you will include in your paper.

Thursday

Nov. 30

Nov. 30

Work on projects

Work on your project.

Tuesday

Dec. 5

Dec. 5

Work on projects

Work on your project.

Thursday

Dec. 7

Dec. 7

Work on projects

Work on your project.

Tuesday

Dec. 12

Dec. 12

Work on projects

Finish your project.

Upload your paper here, and prepare your presentation for tomorrow.
Please complete the Final Project Evaluation (on Moodle).
Tuesday

Dec. 19

Dec. 19

Project presentations

9:00 – 11:00am

9:00 – 11:00am