Math 372: Partial Differential Equations

Gautam Iyer

Office: WEH 6121.

Email.

Contacting me by email

For mathematical email queries other than minor clarifications or typos on the homework, I request you come speak to me in person instead of sending me an email. Mathematics is not easily expressed via email, and a physical in person conversation will be a lot more productive.

For minor clarifications, typos on the homework, and logistical queries, my email address is:

gi1242+372@NoSPAM.edu (replace "NoSPAM" with "cmu")

(Please get the numbers and the plus sign correct, as that will ensure that your email goes to my course folder.) I don't always check email in the evenings, so if you send me a desperate question about the homework at the 11th hour, then you're on your own.

Anonymous feedback?

Anonymous feedback

Feedback at any time (either anonymous or signed) is always appreciated. You can use this form to send me (or your course assistant) anonymous (or signed) feedback.

Note: Unfortunately, evil spammers have used this form to clutter my INBOX. Thus I have restricted access to this form to within cmu.edu domain. Any inconvenience caused is regretted.

Homework policy
LaTeX sources
LaTeX sources

If you're interested in typing your homework using LaTeX, you can find the LaTeX sources of all the homework here. Be sure you also download the calculus.sty style file.

WARNING: These files are provided as is, with no warranty whatsoever. The files all LaTeX cleanly, with no errors on my system. If they don't compile cleanly on your system, you're on your own.

Homework
Solutions
Handouts
Course info
Lectures MWF 11:30--12:20 in WEH 8220. (However, on 1/23, 4/2, 4/9, 4/16 and 4/23 class will be in WEH 7201)
Homework due Wednesdays, beginning of class, unless otherwise noted.
Office Hours Mondays 2:30-3:30, Fridays 3:30-4:30.
Mailing list math-372?
Mailing list

I will use this mailing list for all announcements regarding this course. These usually contain information about class, homework and/or exams, and I strongly recommend all students join this mailing list. I will NOT use BlackBoard.

Any student who is registered for this course on the first day of class will be automatically subscribed this mailing list. If you register for the course at a later time, you should join this mailing list yourself, by visiting the mailing list website (linked above). You may read any announcements you might have missed on the list archives. You may also post to this list to contact your classmates about class related issues. (Posters promoting frat parties, girl scout cookies, or any non-class related agenda will be penalized severely.)

Please note that the mailing list website also contains instructions on how to un-subscribe yourself! If you drop this course, you should follow these instructions and un-subscribe yourself from this list. Since an easy, clearly listed, un-subscription procedure exists, any emails requesting me to add/remove you from this list will be ignored.

Exams
Midterm 1 Fri, Feb 17. (Closed book, in class.)
Midterm 2 Fri, Mar 23. (Closed book, in class.)
Final Mon, May 7, 8:30--11:30AM in DH-1112?
Final scheduling

Your final exam will be scheduled by the registrar at a time that can not be changed by mere mortals. You can find more information here.

Grading

Homework: 20%. The better? midterm: 30%. Final: 50%.

Choosing the "better" of your two midterms

When computing your final grade, I will only use the score from the midterm in which you received a higher percentile rank (and consequently, the higher grade). I will then use statistical methods so that your scores from your homework and exams are all comparable, and then average these corrected scores (as described) to compute your final grade. If you want to know the exact details, read the source of the scripts I use.

Bottom line -- you can safely "bomb" one midterm with no consequence to your grade, and let me worry about how the numbers work.

Course description

A Partial Differential Equation (PDE for short), is a differential equation involving derivatives with respect to more than one variable. These arise in numerous applications from various disciplines. A prototypical example is the `heat equation', governing the evolution of temperature in a conductor.

Usually finding explicit solutions for even the simplest (LINEAR) PDE's is a formidable task, which doesn't always have a tractable solution. The mathematical study of PDE's usually focuses on deducing properties of solutions, without use of an explicit solution formula. For instance, the fact that heat doesn't collect at hot points is a consequence of the "Maximum principle"; a fundamental theorem about solutions to the heat equation, which also applies to solutions of a more general class of equations.

This course will serve as a conceptual introduction to PDE's differential equations, focussing more on studying properties of solutions and less on finding explicit (and horrendously complicated) solutions. It is aimed at undergraduate Math majors, however is suitable for students from Physics, Engineering and other disciplines who want to develop a more conceptual understanding of the subject.

References

Class policies

Lectures
Homework
Exams

Last Modified: Thu 08 Mar 2012 08:16:28 AM PST