Math 22: Linear Algebra with Applications

Summer 2022

Syllabus

The following is a tentative syllabus for the course.

DayLecturesSections in TextBrief Description
1Fri June 241.1Systems of linear equations
2Mon June 271.2Row reduction and echelon forms
3Wed June 291.3 1.4Vector equations, The matrix equation Ax=b
4Fri July 11.4 1.5The matrix equation Ax=b, Solution sets of linear systems
5Mon July 4College Holiday, no classes held
6Wed July 61.7Linear independence
7Fri July 81.8Introduction to linear transofrmations (from R^n to R^m)
8Mon July 111.9The matrix of a linear transformation (from R^n to R^m)
9Wed July 132.1Matrix operations
10Fri July 152.2The inverse of a matrix
11Mon July 182.3Characterizations of invertible matrices
12Wed July 204.1 4.2Vector spaces and subspaces, Null spaces, column spaces, and (general) linear transformations
13Fri July 224.3Linearly independent sets; bases
14Mon July 254.4Coordinate systems
15Wed July 274.5The dimension of a vector space
16Fri July 294.6Rank
17Mon August 14.7 5.4Change of basis, The matrix of a (general) linear transformation
18Wed August 34.9Applications to Markov chains
19Fri August 53.1Determinants
20Mon August 83.2Properties of determinants
21Wed August 105.1 5.2Eigenvectors and eigenvalues, The characteristric equation
22Fri August 125.2 5.3The characteristric equation, Diagonalization
23Mon August 155.3 5.4Diagonalization, Eigenvectors and linear transformations
24Wed August 176.1 6.2Inner products, length and orthogonality, Orthogonal sets
25Fri August 196.3 6.4Orthogonal Projection, The Gram-Schmidt process
26Mon August 226.5 6.8Least-Squares Problems, Applications of Inner product spaces
27Wed August 247.4The Singular Value Decomposition