309 A-C - Linear Analysis - Fall 2013 - UW

Back.

Time: 1130-1220 (A), 1230-1320 (B), and 1330-1420 (C) MWF.
Place: Sieg 225 (A), Loew 201 (B), and More 234 (C).

E-mail: bantieau@uw.edu.
Phone: +1-206-543-1865.
Course webpage: www.math.washington.edu/~bantieau/201304-309.html.
Course discussion site: piazza.com.

Office hours: 1500-1600 MWF in my office, Padelford C-526.
Problem sessions: 1600-1800 6, 13, 18, 25 November and 2 and 8 December (the 8 December session was originally announced as 9 December). These will all take place in Loew 106.

Book: Boyce and DiPrima, Elementary Differential Equations and Boundary Value Problems, Wiley, 10th ed. ISBN: 978-0-470-45831-0. We will cover chapters 7, 9, and 10. Note that the text in the bookstore is a custom edition containing only chapters 7, 9, and 10 from this book. Hence, it will have a different ISBN. However, either the 9th or the 10th edition of the text, as long as you get chapters 7, 9, and 10 will work. However, if you get the 9th edition, it will be your responsibility to ensure that you do the correct homework problems should there be differences between the 9th and 10th eds. This could be accomplished by comparing with a classmates text. Here's an outline of where we'll be going: syllabus.

Important dates:

10/21 - Midterm in class. The midterm will cover the material from chapter 7. Solutions [pdf].
11/11 - Veterans' Day. No class.
11/27 - No class.
11/28-29 - Thanksgiving Holiday. No class.
309A: 12/11 2:30-4:20pm (SIG 225) - Final exam. The final will be a cumulative exam.
309B: 12/12 8:30-10:20am (LOW 201) - Final exam. The final will be a cumulative exam.
309C: 12/9 2:30-4:20pm (MOR 234) - Final exam. The final will be a cumulative exam.

Problem sets:

Set 1 - Due Friday 10/4/13.
Set 2 - Due Monday 10/14/13.
Set 3 - Due Friday 10/25/13.
Set 4 - Due Friday 11/8/13.
Set 5 - Due Wednesday 11/20/13.
Set 6 - Due Friday 12/6/13.

Evaluation:

The final raw score will be computed with the following weights: 20% problem sets, 30% midterm, and 50% final. The lowest homework grade will be dropped.
The grading scale will be set at the end of the quarter. But, it will be no tougher than 4.0=95% and 2.0=70%, with a linear distribution between those two points.
You may work collectively on the homework. You may also look to other sources for solutions. However, you must cite any outside source you have used in finding your solution. And, you must write up your solution in your own words.
Homework is due by the end of class in class on the day it's due. No late homework will be accepted.
I suggest you make a serious attempt at each problem before consulting a peer or another text.
A grade of 'F' will be assigned to any student who misses the final. Incompletes are reserved for those who have completed all of the work for the class, including the midterm, but who, for a legitimate, documented reason, miss the final.

Piazza:

I encourage everyone to use the free discussion board piazza.com for discussion of the class. Go to the website and enroll in MATH 309A-C. This is a site that allows everyone to ask and answer questions. It is my hope that you will help each other out on the site. If there are questions about policies, exams, etc, please post them on piazza as well. I will answer them there so that the answers will be public and useful to other students.
However, please look at previous questions and this syllabus before posting a new question. In other words, RTFM.
You may post anonymously, for reference.
You may give us anonymous feedback by posting a private note on piazza.

Miscellanea:

There will be no overloading during the first week.
If you wish to request an accommodation due to a disability, please contact the Disability Services Office at 011 Mary Gates Hall.
This class will use the myUCLA gradebook facility.
Come to office hours!

Catalogue description: 309. Linear Analysis. (3) Lecture, three hours. Prerequisites: 126, 307, 308. Math 309 serves as the culmination of the Math 307-8-9 program in linear analysis. It combines analysis tools and ideas (such as series expansions, complex numbers and exponentials, and differential equations) from Math 307 with comparable content (eigenvalues, and difference equations, orthogonal bases, projections and best approximations) from Math 308. These tools are applied to the solution and qualitative study of linear systems of ordinary differential equations, and to the analysis of classical partial differential equations (heat, wave, Laplace). In the case of partial differential equations, separation of variables is used to obtain boundary value problems which are then solved and are used to generate the Fourier series solutions of the original partial differential equation.