Welcome to Wasin So's MATH 129B Page
Title
 | Linear Algebra II |
Objective
| To familiarize students with the language of vector spaces and linear maps, and to lead students to a deeper understanding of the structure of linear maps on vector spaces. |
Textbook
| Linear Algebra Done Right by Sheldon Axler |
Content
| Linear Algebra is the study of linear maps on finite dimensional vector spaces. While Linear Algebra I (Math129A) focuses on vectors and matrices. Linear Algebra II (Math129B) emphases abstract vector spaces and linear maps. A central goal is to understand the structure of linear maps on vector spaces, namely the Jordan Decomposition Theorem; and the structure of linear maps on inner product spaces, namely the Spectral Decomposition Theorem. |
Topics
| Complex Numbers |
| Abstract Vector Spaces |
| Finite Dimensional Vector Spaces |
| Linear Maps |
| Eigenvalues and Eigenvectors |
| Jordan Decomposition Theorem |
| Inner Product Space |
| Spectral Decomposition Theorem |
Semester Taught and Grade Distribution
| Semester | A | B | C | D | F |
| Fall 2001 | 23.8% | 23.8% | 4.7% | 14.3% | 33.4% |