Summer 2020 - MATH 232 D200

Applied Linear Algebra (3)

Class Number: 1242

Delivery Method: In Person

Overview

  • Course Times + Location:

    May 11 – Aug 10, 2020: Mon, Wed, Fri, 2:30–3:20 p.m.
    Burnaby

  • Exam Times + Location:

    Aug 14, 2020
    Fri, 3:30–6:30 p.m.
    Location: TBA

  • Prerequisites:

    MATH 150 or 151; or MACM 101; or MATH 154 or 157, both with a grade of at least B.

Description

CALENDAR DESCRIPTION:

Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Students with credit for MATH 240 make not take this course for further credit. Quantitative.

COURSE DETAILS:

Topics Outline:  Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations.

Topic Details:

Vectors

  • Vectors in Euclidean n-Space
  • Dot Product and Orthogonality
  • Lines and Planes
Systems of Linear Equations
  • Row Reduction (Gaussian elimination) to Echelon form
  • The Geometry of Linear Systems
  • Applications in business, science and engineering
Matrices
  • Matrix operations
  • Matrix inverse; and properties of matrices
  • Elementary matrices and calculating matrix inverses
  • Matrices with special forms.
Linear Transformations
  • Matrices as transformations
  • Geometry of Linear Transformations
  • Kernel and range
  • Composition and Invertibility
  • Application to Computer Graphics (optional)
Determinants
  • Calculating determinants
  • Properties of determinants
  • Cramer's rule (optional)
Complex Numbers
  • Arithmetic in Cartesian co-ordinates.
  • The complex plane, complex conjugate, magnitude and argument (phase).
  • Polar form, De Moivre's formula and Euler's formula.
  • Roots of quadratic polynomials.
Eigenvalues and Eigenvectors
  • Properties and geometry
  • Complex eigenvalues and complex eigenvectors
  • Dynamical Systems and Markov Chains
  • Application to Economics: the Leontief model (optional)
  • The Power Method; Application to Internet Search Engines
  • Matrix Similarity and Diagonalization
Subspaces of R^n
  • Subspaces and Linear Independence
  • Basis and Dimension
  • The Fundamental Spaces of a Matrix
  • Rank
  • Change of basis
Orthogonality
  • Projection
  • Orthogonal bases and the Gram Schmidt process
  • Orthogonal matrices (optional)
  • Application to least squares approximation

Grading

  • Online Assignments (Möbius Assessment) 5%
  • Quizzes 10%
  • Midterm 1 17.5%
  • Midterm 2 17.5%
  • Final Exam 50%

NOTES:

THE INSTRUCTOR RESERVES THE RIGHT TO CHANGE ANY OF THE ABOVE INFORMATION.
Students should be aware that they have certain rights to confidentiality concerning the return of course papers and the posting of marks.
Please pay careful attention to the options discussed in class at the beginning of the semester.

Materials

MATERIALS + SUPPLIES:

Möbius Assessment account for online assignments (registration will be through Canvas using your SFU computing ID). If you purchased a licence within the past two semesters you will not need to purchase another one. Watch for registration details in Canvas.

REQUIRED READING:

Contemporary Linear Algebra
Howard Anton and Robert C. Busby
Wiley
ISBN: 9780471163626

OR

As an e-text available for purchase through Vitalsource (ISBN 9780471782834) here:
https://www.vitalsource.com/en-ca/products/contemporary-linear-algebra-howard-anton-robert-c-busby-v9780471782834

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

TEACHING AT SFU IN SUMMER 2020

Please note that all teaching at SFU in summer term 2020 will be conducted through remote methods. Enrollment in this course acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as soon as possible to ensure that they are eligible and that approved accommodations and services are implemented in a timely fashion.