MATH2040A - Linear Algebra II - 2018/19

Course Name: 
Linear Algebra II
Teacher: 
Prof. Renjun DUAN
Course Year: 
2018/19
Term: 
1

Announcement

  • Aug 28: Welcome to the course web. Here is the outline of the course: [Download file]
  • Aug 29: No tutorial class in the first week; Classes (from 08:30 to 13:15) on Sept 3rd has been suspended due to the Inauguration Ceremony for Undergraduates that morning.
  • Sept 27: Reminder: Midterm 1 will be held on Oct 8 (Mon) at 7:30pm in LSB LT1. Materials up to Chapter 1 and HW 3 will be covered.
  • Oct 3: Two make-up lectures have been fixed in today's class. One is on Oct 5 (Friday), 6:30pm-9:00pm (Venue=LSB LT3), and the other is on Oct 13 (Saturday), 9:30am-11:30am (Venue=LSB C1)
  • Oct 31: Midterm Two will be held on Nov 12 (Mon) at 7:30pm in LSB LT1. Covers are up to Topic 10 (Eigenvalue&eigenvector) and Homework 7.

General Information

Lecturer

  • DUAN Renjun
    • Office: LSB 206
    • Tel: 3943 7977
    • Email:
    • Office Hours: 9:00AM-10:15AM every Monday or by appointment

Teaching Assistant

  • CHEUNG Hang
    • Office: LSB 222A
    • Tel: 3943 3575
    • Email:
  • WONG Siu Fung
    • Office: AB1 407A
    • Tel: 3943 3721
    • Email:
  • YAU Yu Tung
    • Office: AB1 505
    • Tel: 3943 4298
    • Email:

Time and Venue

  • Lecture: Mon 10:30am - 12:15pm at LHC 106 and Wed 1:30pm - 2:15pm at ICS L1 (LHC=Y.C. Liang Hall, ICS=Institute of Chinese Studies)
  • Tutorial: Wed 12:30pm - 1:15pm at ICS L1

Course Description

This course is a continuation of Linear Algebra I (MATH 1030). It is a second course on linear algebra and will cover basic concepts of abstract vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalizability, operators on inner product spaces, orthogonality and Gram-Schmidt process, adjoint, normal and self-adjoint operators, spectral theorems, and if time permits, quadratic forms and Jordan canonical forms. More emphasis will be put on the theoretical understanding of basic concepts in linear algebra.


Textbooks

  • Friedberg, Insel and Spence, Linear algebra, Pearson (4th edition)

References

  • Axler, Linear Algebra Done Right, 3rd edition, Springer.

Lecture Notes


Tutorial Notes


Assignments


Solutions


Assessment Scheme

See University Blackboard %

Useful Links


Honesty in Academic Work

The Chinese University of Hong Kong places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating and plagiarism. Any related offence will lead to disciplinary action including termination of studies at the University. Although cases of cheating or plagiarism are rare at the University, everyone should make himself / herself familiar with the content of the following website:

http://www.cuhk.edu.hk/policy/academichonesty/

and thereby help avoid any practice that would not be acceptable.

Assessment Policy

Last updated: January 04, 2019 17:37:24