Math 21-341 - Linear Algebra 1
Sevak Mkrtchyan
7121 Wean Hall
e-mail: sevakm (at_sign) andrew.cmu.edu


Course Description

This is a mathematically rigorous introduction to Linear Algebra. Topics covered will include abstract vector spaces, linear transformations, eigenvalues, eigenvectors, inner products, invariant subspaces, real and complex spectral theorems, polar and singular value decompositions, Jordan forms, and determinants.

Lectures

MWF 11:30-12:20 in PH A18C

Office Hours:

Tu 5-6PM, F 10:30-11:20 (7121 Wean Hall)

Textbook

The textbook for the course is: Axler, Linear algebra done right

Grades

Your grade in the class will be based on the following weights:
25% - Homework assignments
20% - Midterm exam 1 (Monday, September 30, in class)
20% - Midterm exam 2 (Monday, November 4, in class)
35% - Final exam

Homework

Homework assignments will be posted online and collected in class at the beginning of class on Fridays. Homework is due by 5pm on the due date in my office. No late homework will be accepted. The two lowest homework grades will be dropped.

Although I discourage it, you are allowed to collaborate on homework assignments. However, writing up of the solutions should be done individually. You should never share written down solutions, which will be submitted as homework, with other students.

This is a tentative schedule for what I have covered and what I plan to cover in class each day. This section will be updated regularly during the semester.

Date
Topic
Homework
Due
Mon, August 26 Introduction. Fields. Part of homework 1 Sep 4
Wed, August 28 Vector spaces. Subspaces. Chapter 1, Ex. 3,5ac,6,9,13,15 Sep 4
Fri, August 30 Sums of subspaces. Direct sums. Spans
Mon, September 2 Labor day; No classes
Wed, September 4 Linear independence. Chapter 2:3,4,6,8,9,11,12,14 Sep 11
Fri, September 6 Basis and dimension.
Mon, September 9 Linear maps
Wed, September 11 Linear maps Chapter 2:16,17 Sep 18
Fri, September 13 The matrix of a linear map Chapter 3:2,4,6,7,9,13 Sep 18
Mon, September 16 Products and invertibility Chapter 3:16,21 Sep 25
Wed, September 18 Isomorphism Chapter 3:22,23,25 Sep 25
Fri, September 20 Polynomials Chapter 4:2,4,5 Sep 25
Mon, September 23 Invariant subspaces. Existence of an eigenvalue. Chapter 5:1,3,4,8 Oct 4
Wed, September 25 Upper-triangularizable operators
Fri, September 27 Diagonalizable operators. Invariant subspaces of real vector spaces. Projections. Chapter 5:11,15,17,20 Oct 9
Mon, September 30 Midterm 1
Wed, October 2 Inner product spaces Chapter 6:3,5,6,9 Oct 9
Fri, October 4 Cauchy-Schwarz inequality. Orthonormality. Chapter 6:10,13,18,20 Oct 16
Mon, October 7 Gram-Schmidt process; Orthogonal projections Chapter 6:24,26,31,32 Oct 16
Wed, October 9 Linear functionals and the adjoint of a linear transformation
Fri, October 11 Normal and self-adjoint operators
Mon, October 14 The Complex Spectral Theorem Chapter 7:1,3,7,9 Oct 23
Wed, October 16 The Real Spectral Theorem Chapter 7:10,12,14,15 Oct 23
Fri, October 18 Mid-Semester Break; No Classes
Mon, October 21 Positivity. Chapter 7:16,17,19,20 Oct 30
Wed, October 23 Isometries. Chapter 7:21,22,24 Oct 30
Fri, October 25 Polar decomposition.
Mon, October 28 Singular-value decomposition. Chapter 7:31,34 Nov 13
Wed, October 30 Characteristic polynomials. Chapter 8:1,5,8,10 Nov 13
Fri, November 1 Cayley-Hamilton Theorem
Mon, November 4 Midterm 2
Wed, November 6 Square roots Chapter 8:12,16 Nov 13
Fri, November 8 The minimal polynomial Chapter 8:17,18,20,22,23,28 Nov 22
Mon, November 11 Jordan form Chapter 9:1,3,4,7 Nov 22
Wed, November 13 Block diagonal matrices for operators on real vector spaces
Fri, November 15 Characteristic polynomials of operators on real vector spaces
Mon, November 18 Structure of operators on real vector spaces Chapter 9:8,10,11,13 Dec 4
Wed, November 20 Change of bases
Fri, November 22 Trace and determinant of an operator Chapter 10:3,6,8,15,17,22 Dec 4
Mon, November 25 Equality of the determinants of an operator and its matrices
Wed, November 27 Thanksgiving Holiday; No Classes
Fri, November 29 Thanksgiving Holiday; No Classes
Mon, December 2 Bilinear forms
Wed, December 4 Tensor products
Fri, December 6 Tensor products


You are expected to attend every class and arrive on time. It is your responsibility to be informed of any announcements made in class.