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 11:30-12:20AM in DH 1212

Office Hours:

MWF 8:30-9:20 and 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, October 1, in class)
20% - Midterm exam 2 (Monday, November 5, in class)
35% - Final exam

Homework

Homework assignments will be posted online and collected in class at the beginning of class on Wednesdays. No late homework will be accepted. The two lowest homework grades will be dropped.

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 by other students.

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


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