Math 324 Linear Algebra II

Monday, Wednesday, and Friday 9:10-10:00am

Hayes Hall 203

Textbook

Linear Algebra, A Modern Introduction, Third Edition, by David Poole.

 

Syllabus

 

Office Hours (Hayes 309-A)

Monday 2:10-3:00pm

Tuesday 11:10am-1:00pm

Wednesday 2:10-3:00pm

Thursday 10:10-11:00am

 

Homework

Lesson

Date

Section(s)

Topic

Homework

Due

1

1/14/2013

6.1

Vector Spaces and Subspaces

Worksheet: #3

#10: Give a rigorous argument that each of the 10 properties holds for the vector space.

Read Syllabus and Section 6.1.

1/16/2013

2

1/16/2013

6.1

Vector Spaces and Subspaces

Worksheet: #6, 7, 9d

In questions 6 and 7, just give a yes/no answer for (a). Also for 6 and 7, provide a spanning set for  that is as small as possible.

Section 6.1: #4, 17, 18 (just show that axioms 1 and 6 hold), 22, 23, 38, 53, 55-57, 63, 64

1/23/2013

 

1/18/2013

 

 

 

 

1/21/2013

6.2

 

 

 

 

6.2

Linear Independence, Basis, and Dimension

Section 6.2: #3, 7, 13, 21, 22, 23, 27, 28, 34, 36, 39, 48, 49

Section 6.2 Worksheet (not Wronskian worksheet): #5

Think about #6, 7 for Wednesday.

Read Section 6.2.

 

3

1/23/2013

6.3

Change of Basis

Section 6.3: #2, 6, 10, 13, 16, 20, 21

Section 6.2: #33 (write up both halves)

The Shape of the Future,

Back to the Future Worksheets

Read Section 6.3, 6.4, and 6.5.

1/30/2013

4

1/30/2013,

2/1/2013,

2/4/2013,

2/6/2013

6.4-6.5

Linear Transformations, Kernel, Range, Isomorphism

Sec 6.4: #5, 16, 20, 24, 30, 34,

Sec 6.5: #4, 8, 14, 21, 26, 32, 33, 37

Read Section 6.6, prepare presentations.

2/6/2013

5

2/8/2013, 2/11/2013

6.6

The Matrix of a Linear Transformation

Worksheet

Sec 6.6: #15, 29, 39, 45, 46

Challenge Problems (read as “fun but not required”): 40, 41

2/13/2013

6

2/13/2013, 2/15/2013

Chapter 6

Review

Review worksheet (to be graded for completion)

Read Section 7.1.

2/20/2013

7

2/20/2013, 2/22/2013

7.1

Inner Product Spaces

Sec 7.1: #2, 4, 9-11, 13, 16, 18, 20, 21, 27, 32

7.0 Taxicab: #6-8

In-class problems

Worksheet on

Read Section 7.2.

Challenge Problem: Prove that projW(v) and perpW(v) are orthogonal.

2/27/2013

8

2/25/2013, 2/27/2013, 3/1/2013,

3/18/2013

7.2

Norms and Distance Functions

Sec 7.2: #2-4, 7-9, 14, 15, 24, 30, 32, 33, 40, 43, 45, 46, 48

Read Sections 7.3 and 7.4.

3/20/2013

9

3/22/2013, 3/25/2013

7.3

Least Squares Approximation

HW from Jacobi proof: .

Sec 7.3: #10, 16, 24, 26, 29, 34, 28, 38, 44, 50, 53-55

3/27/2013

10

3/25/2013, 3/27/2013

7.4

The Singular Value Decomposition! :)

Section 7.4: #11, 15, 18, 19, 21,

24-30, 34, 35

#65: For the matrix A in question 10, confirm that each part of Theorem 7.15 holds.

Challenge Problems: (1) Prove Thm 7.15(a) by proving Section 3.5 #61.

(2) Prove Thm 5.25 and explain its connection to the svd.

You may use a computer algebra system to help with computations for this assignment (such as computing eigenvectors of ATA), but you should make a note to that effect and write what the output at each step is.

4/3/2013

11

3/29/2013, 4/1/2013, 4/3/2013, 4/5/2013

7.4, Matlab

The Singular Value Decomposition

In-class worksheet

MatLab Problems (Choose 2 from the list of 5)

Email Professor Smith with questions if you haven’t done so yet!

4/10/2013

12

4/8/2013, 4/10/2013, 4/12/2013

7.4

The Singular Value Decomposition

Section 7.4: #39, 40, 43, 47, 51

4/17/2013

13

4/17/2013

Chapter 7

Review

Review assignment – not to be collected.

Chapter Review, pg. 646-647:

1 (b)-(d), (h)-(j), 2-6, 7 or 8, 9-11, 13, 15-17, 19 (Show (PAQ)T(PAQ) is similar to ATA – why is this sufficient?)

 

 

4/22/2013,

Saturn, Classifying Pictures

Exciting applications!

Work on project 1!

4/24/2013

 

4/24/2013, 4/26/2013

Cats and Dogs

Again!

Work on project 2!

4/29/2013