Spring 2010, Math 204, Section 01.
Linear Algebra
Course Information
- Professor Mrinal Raghupathi
- 1523 Stevenson Center
- Email: firstname [dot] lastname [at] universityname [dot] edu
- Office hours: Monday: 5 pm — 6 pm, Wednesday: 5 pm — 6pm, Friday: 11 am — 12 noon, 3 pm — 4pm.
- Syllabus
Lowest score
I will drop the lowest of your test and homework scores and replace it with the next lowest scores. So if h, e1, e2 denote these scores you will get max(h,e1,e2)+2 * second largest of (h, e1, e2). The final exam score will not be dropped.
Lecture schedule
This schedule is dynamic and is updated nearly every weekday
The section(s) that correspond to the lecture topic is(are) indicated in parentheses.
I mentioned in class that you should submit all the problems. However, I have updated this policy. You should submit the problems listed in the homework section.
The comments column will include deadlines for homework and reminders of exams and reviews.
| Date | Topic | Problems | Comments |
|---|---|---|---|
| Wednesday, 1/13/2010 | Introduction to linear systems (1.1) | 1.1: 4, 7, 11, 18, 25, 28, 31, 35, 40. | |
| Friday, 1/15/2010 | Linear systems and Gaussian elimination (1.2) | 1.2: 6, 17, 18, 19, 23, 27, 32, 34, 38. | |
| Monday, 1/18/2010 | Matrix algebra and qualitative properties of linear systems (1.3). | 1.3: 2 – 6 (even), 14 – 20 (even), 24, 30, 34, 35, 38. | |
| Wednesday, 1/20/2010 | Matrix vector multiplication, dot products and linear combinations (1.3) | ||
| Friday, 1/22/2010 | Linear transformations (2.1) |
|
Homework 1 is due. |
| Monday, 1/25/2010 | Geometry of linear transformations (2.1, 2.2) | 2.2: 2, 6, 10, 12, 22, 32, 38, 47. | |
| Wednesday, 1/27/2010 | Projections (2.2) | Read the examples of reflections and rotations in section 2.2. | |
| Friday, 1/29/2010 | More examples of linear transformations. |
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| Monday, 2/1/2010 | Matrix multiplication and composition of linear transformations (2.3). | 2.3: 1 — 12 (even), 16, 18, 21, 22, 26, 29, 31, 32, 46, 56. | |
| Wednesday, 2/3/2010 | The inverse of a linear transformation (2.4). | 2.4: 2, 13, 14,19, 28, 29, 33, 34, 35, 37, 42, 43, 45, 46, 48. | We're beginning this section. We will finish on Friday. Homework 3 is now due next Friday, 2/12/10. |
| Friday, 2/5/2010 | Inverses of linear transformations (2.4). | ||
| Monday, 2/8/2010 | Induction. Introduction to subspaces (3.1). | Here are some notes on induction. | |
| Wednesday, 2/10/2010 | Examples of matrices. | We're going to look at some examples of matrices, and invertibility. Here is a pdf file containing some examples. I will update and improve it as we go along. | |
| Friday, 2/12/2010 | Subspaces, range and null space of a linear transformation (3.1) | 3.1: 5, 9, 15, 19, 24, 31, 35, 36, 39. | Homework 3 is due. |
| Monday, 2/15/2010 | How to compute the dimension and a basis for the null space (part of 3.2). | Try to work out some more examples of your own. | |
| Wednesday, 2/17/2010 | How to compute the dimension and a basis for the range. (part of 3.3) | 3.2: 1, 2, 5, 6, 27 — 33; 3.3: 3, 9, 17, 23, 24, | We have skipped over the results on linear independence, dependence and dimension. We will return to these topics after exam 1. |
| Friday, 2/19/2010 | Review for exam 1. | Bring questions, misconceptions, and doubts. | |
| Monday, 2/22/2010 | EXAM 1 | Homework 4 is due. | |
| Wednesday, 2/24/2010 | Linear dependence and independence (3.2, 3.3) |
|
We will define the notion of dependence, spanning set, and linearly independent set. We'll prove some theorems as well. |
| Friday, 2/26/2010 | Bases and coordinates (3.3, 3.4) | Trying to prove that the dimension makes sense. | |
| Monday, 3/1/2010 | Bases and coordinates (3.3, 3.4) | Finishing the proof of the uniqueness of dimension and moving on to coordinates. Here is a typed up version of the proof from today's class. | |
| Wednesday, 3/3/2010 | Bases and coordinates (3.4) | 3.4: 3, 9, 13, 18, 21, 27, 31 — 36, 43, 47, 48, 58, 70, 71. | |
| Friday, 3/5/2010 | Similar matrices (3.4) | ||
| Monday, 3/15/2010 | Orthonormal Bases (5.1) | 5.1: 7, 12, 13, 17, 22, 32 — 36, 40, 41. | |
| Wednesday, 3/17/2010 | Projections and the Gram-Schmidt process (5.2) | 5.2: 3, 4, 9, 31 — 34. | |
| Friday, 3/19/2010 | Orthogonal Transformations (5.3) | 5.3: 1 — 11, 33, 34, 35, 37, 43. | |
| Monday, 3/22/2010 | Symmetric matrices (5.3). | 5.3: 13 &mdash 26; 27, 47. | Read the part of chapter 5.3 on page 214, 215 concerning transposes and the inverse of an orthogonal matrix. |
| Wednesday, 3/24/2010 | Least squares (5.4). | 5.4: 1 &mdash 7; 16, 19 — 25. | |
| Friday, 3/26/2010 | More least squares | ||
| Monday, 3/29/2010 | Linear spaces (4.1). | 4.1: 1 — 45 (odd). These are the problems for today and 3/31/2010. | Homework 8 will be due on Friday, 4/9/2010. |
| Wednesday, 3/31/2010 | Vector (linear) spaces (4.1) | ||
| Friday, 4/2/2010 | Review for exam 2. | The fact sheet has been updated for exam 2. | |
| Monday, 4/5/2010 | EXAM 2 | ||
| Wednesday, 4/7/2010 | Linear transformations on linear spaces (4.2). | 4.2: 1, 4, 9, 14, 23, 28, 32, 35, 54, 54, 66, 68, 69, 70, 78, | |
| Friday, 4/9/2010 | Linear transformations (4.2) | 4.2: See above. | Solutions to exam 2 are posted below. |
| Monday, 4/12/2010 | Eigenvectors and eignevalues, an intro | ||
| Wednesday, 4/14/2010 | Determinants (6.1, 6.2) | 6.1: 1, 6, 10, 13, 21, 22, 23, 29, 43, 44. | |
| Friday, 4/16/2010 | 6.2: 2, 3, 11, 13, 14, 15, 29, 32, 35. | Professor Willett will work through some more of the theory of determinants in relation to eigenvector and eigenvalue calculations. My Friday office hours are cancelled. I will have office hours on Monday 4/19/2010 (11 - noon). | |
| Monday, 4/19/2010 | Eigenvalues and eigenspaces (7.2) | 7.2: 1, 3, 6, 8, 14, 15, 19, 21, 30, 34. | |
| Wednesday, 4/21/2010 | Eigenvectors (7.3) | 7.3: 1 — 13 (odd), 19, 20, 22, 27, 28, 31, 32 — 34. | |
| Friday, 4/23/2010 | Diagonalization (7.4) | 7.4: 1, 5, 11, 17, 25, 26, 32, 35, 37, 38. | |
| Monday, 4/26/2010 | Symmetric matrices and the spectral theorem (8.1). | 8.1: 7, 10, 12, 14, 16, 23. | |
| Friday, 4/30/2010 | FINAL EXAM |
Exams
- Exam 1
- Monday, February 22nd, 2010, 1:10 pm — 2:00 pm
- Content: Chapters 1, 2, 3.1 — 3.3. (linear independence and dependence will not be tested, but you should be able to compute a basis for the range and null-space)
- Review: Friday, 2/22/2010, in-class. Here is a little fact sheet
- Practice exam: PDF.
- Exam 2
- Final Exam
- Friday, April 30th, 2010, 9:00 am — 11 am in SC 2212 (our classroom). Official schedule
- Content: Chapters 1, 2, 3, 4.1 — 4.2, 5.1 — 5.4, 6.1 — 6.2, 7.2 — 7.4, 8.1.
- Review: Wednesday, April 28th, 2 pm — 4pm in SC 2212.
- Practice exam: PDF. Solutions: PDF
Homework
- Homework 1.
- Due: January 22nd, 2010
- Problems: 1.1: 22; 1.2: 24, 32; 1.3: 44, 62.
- Solutions (PDF)
- Homework 2.
- Due: January 29th, 2010
- Problems: 2.1: 16, 24, 36; 2.2: 16, 24
- Solutions (PDF)
- Homework 3.
- Due: February 12th, 2010 (note the date. it's been changed.)
- Problems:2.3: 36, 62; 2.4: 36, 44, 66.
- Download the homework PDF file
- Solutions (PDF)
- Homework 4.
- Due: February 22nd, 2010 (Change in date)
- Download the homework.
- Solutions (PDF)
- Homework 5.
- Due: Friday, March 5th, 2010
- Download the homework.
- Solutions (PDF)
- Homework 6.
- Due: Friday, March 19th, 2010
- Download the homework.
- Solutions (PDF)
- Homework 7.
- Due: Monday, March 29th, 2010
- Download the homework.
- Solutions (PDF)
- Homework 8.
- Due: Monday, April 12th, 2010
- Download the homework.
Additional material
- Induction. We discussed proof by induction in class. Here are some short notes on induction together with a few exercises for you to try.
- Examples of matrices. We discussed different examples of matrices in class. I was tempted to call them patterns. Here are some short notes on the different examples. There are some exercises as well which you should try if you have time, since this will give you a better feeling for matrices. I will update the notes as the semester progress.
- Dimension of a subspace. Here is a typed-up version of the proof of central result that is required to show that dimension of a subspace is well-defined.