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% 
