Math 24, Spring 2005
Honors Linear Algebra

Instructor:  Martin Arkowitz
Office:  315 Bradley Hall
Phone:  646-2419
Email:  martin.arkowitz@dartmouth.edu

Course Specifics:
MWF 10 - 11:05,  x-hour: Thursday 12 - 12:50
102 Reed Hall
Office hours:  Tues, Thurs : 1:30 - 3:00 and by appointment

Text:  Linear Algebra   by S. Friedberg, A. Insel and L. Spence

Exams:
They will consist of four quizzes and a take-home final.
Quizzes:  Each quiz will be approximately one half hour in length and they will be given approximately two weeks apart.

Schedules:
The first quiz will take place on Thursday, April 14. The second quiz will take place on Thursday, April 28. The third quiz will take place on Thursday, May 12. The fourth and last quiz will take place on Thursday, May 26. The final exam (take-home) given out on May 27 and due on June 4 at 10:00 am.

Grades:
Each quiz counts 10 points, the total homework grade is 10 points and the final counts 50 points.

Homework:
Homework is assigned after each class period (see the table below). It is to be handed in at the start of the next class period. The due dates are given below. Late homework will not be accepted without a compelling reason (such as medical problem or family emergency). You can work together on homework and seek help (for example, during office hours), but you are to write up the assignments on your own.

Tutoring:
You can get help with your homework Tuesday, Thursday and Sunday evenings from 8:00 to 10:00 pm in Room 103 Gerry. An undergraduate math major will be present to provide help. On Tuesday and Thursdays the student will be Ki Chul Kim and on Sunday Carlo Ordonez.

Honor Principle:
The honor principle is in effect in this course. On all quizzes and exams do your own work and neither give nor accept assistance. The honor principle for homework is stated above.

Disabilities:
Students with disabilities, including physical, psychological or learning disabilities, who may need special consideration, should speak to the instructor as soon as possible, and no later than end of the second week of the term. All discussions will remain confidential, although the Student Disabilities Coordinator may be consulted to verify the documentation of the disability.

Syllabus and Homework (check this frequently since it may be changed often)

Date
Topics Covered
Sections
Homework Problems Assigned
Due Dates
3/30
Vector Spaces
1.2
1.2 #4b,g, 8, 12, 14, 15, 21 4/1
4/1
Subspaces
1.3
1.3 #1a,b,c,d,g, 2a,d,e, 10, 11, 19, 20 (use induction), 23 4/4
4/4
Fields
Appendix C (through Example 5)
1.2 #16, 22; 1.3 #6, 21 4/6
4/6
Linear Combinations and Equations
1.4
1.4 #2a,c, 4c, 6, 8, 9 4/8
4/8
Linear Dependence and Independence
1.5
1.5 #2b,c, 5, 6, 9, 11 4/11
4/11
Bases and Dimension (skip Lagrange Interpolation)
1.6
1.6 #1, 2d, 3b,e, 4, 5, 7 4/14
4/13
Bases and Dimension
1.6


4/14, x-hour
Bases and Dimension and QUIZ 1 (covering material up to and including 1.5)
1.6
1.6 #12, 13, 16, 20, 22, 31 and problem assigned in class 4/15
4/15
Linear Transformations
2.1
2.1 #2, 3, 5 (for these three problems just show T is a linear transformation), 7, 9a,d, 10, 12 4/18
4/18
Linear Transformations
2.1
2.1 #1 - 3 (do not repeat the part done previously), 14a,c, 17, 18, 38 4/20
4/20
Matrix Representation of a Linear Transformation
2.2
2.2 #2b, 3, 4, 5c,f, 8, 9 4/22
4/22
Composition of Linear Transformations and Matrix Multiplication (skip Applications)
2.3
2.3 #2a, 3, 4a,b, 11 (T_0 is the zero linear transformation), 12, 18 4/25
4/25
Composition of Linear Transformations and Matrix Multiplication (skip Applications); Invertibility and Isomorphisms
2.3, 2.4
1.3 #25 (see the second definition on p. 22), 29, 30;     2.3 #13;   2.4 #2d,e, 14, 15 (assume T is one-one on beta) 4/27
4/27
Invertibility and Isomorphisms
2.4
2.4 #3c,d, 4 - 6, 16 - 18, 20 4/29
4/28, x-hour
Invertibility and Isomorphisms and QUIZ 2 (covering material from 1.6 to 2.3)
2.4


4/29
Change of Coordinate Matrix
2.5
2.5 #1, 2c, 3c, 4, 5, 8 - 11 5/2
5/2
Elementary Operations and Elementary Matrices
3.1
3.1 #1, 2, 3c, 6 - 9 5/4
5/4
The Rank and Inverse of a Matrix
3.2
3.1 #4;   3.2 #2a,c,f, 4a,b, 8, 11 5/6
5/6
The Rank and Inverse of a Matrix
3.2
3.2 #1, 5a,h, 6c,d, 15, 17 5/9
5/9
Systems of Linear Equations - Theory (skip An Application)
3.3
3.3 #2d,g, 3d,g, 4(1b & 2b), 7a,d, 8b, 10 5/11
5/11
Systems of Linear Equations - Computation (up to middle p. 193)
3.4
3.4 #2a,b,f, 4a, 5, 7, 9 5/13
5/12, x-hour
Systems of Linear Equations - Computation (up to middle p. 193) and QUIZ 3 (covering material from 2.4 to 3.3)
3.4


5/13
Summary of Facts About Determinants
4.4
4.4 #1, 2d, 3d,g, 4d,e, 5 5/16
5/16
Eigenvalues and Eigenvectors
5.1
5.1 #2c, 3a,c,d, 8a,b, 9, 14 5/18
5/18
Eigenvalues and Eigenvectors; Diagonalizability (up to and including p. 271)
5.1, 5.2
5.1 #1, 4c,e, 16, 20;   5.2 #2c,g (skip the test for diagonalizability - these matrices are diagonalizable) 5/20
5/20
Diagonalizability (up to and including p. 271)
5.2
5.2 #1, 3c,d,e, 8, 11, 12 5/23
5/23
Inner Products and Norms
6.1
6.1 #4, 5, 8, 9, 11, 13, 17 5/25
5/25
Inner Products and Norms; Application to Markov Chains
6.1
6.1 #2, 3, 10, 15a, 18, 20, problem on Markov chains given in class 5/27
5/26, x-hour
QUIZ 4 (covering 3.4, 4.4, 5.1 and 5.2)



5/27
The Orthogonalization Process and Orthogonal Complements
6.2


6/1
The Orthogonalization Process and Orthogonal Complements; Questions; Final Remarks
6.2





Last updated May 26, 2005