Spring 2025 - MATH 232 D400
Applied Linear Algebra (3)
Class Number: 4763
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 6 – Apr 9, 2025: Mon, Wed, Fri, 2:30–3:20 p.m.
Surrey
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Instructor:
Randall Pyke
rpyke@sfu.ca
1 778 782-7530
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Prerequisites:
MATH 150 or 151 or MACM 101, with a minimum grade of C-; 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 may 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
- Row Reduction (Gaussian elimination) to Echelon form
- The Geometry of Linear Systems
- Applications in business, science and engineering
- Matrix operations
- Matrix inverse; and properties of matrices
- Elementary matrices and calculating matrix inverses
- Matrices with special forms.
- Matrices as transformations
- Geometry of Linear Transformations
- Kernel and range
- Composition and Invertibility
- Application to Computer Graphics (optional)
- Calculating determinants
- Properties of determinants
- Cramer's rule (optional)
- 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.
- 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 and Linear Independence
- Basis and Dimension
- The Fundamental Spaces of a Matrix
- Rank
- Change of basis
- Projection
- Orthogonal bases and the Gram Schmidt process
- Orthogonal matrices (optional)
- Application to least squares approximation
Grading
- Homework (4) 10%
- Online assignments (MyMath) 5%
- Quizzes (6) 10%
- Midterms (2, 15% each) 30%
- Final Exam 45%
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.
REQUIREMENTS:
This course is delivered in person, on campus. Should public health guidelines recommend limits on in person gatherings, this course may include virtual meetings. As such, all students are recommended to have access to strong and reliable internet, the ability to scan documents (a phone app is acceptable) and access to a webcam and microphone (embedded in a computer is sufficient).
Materials
REQUIRED READING:
An Introduction to Linear Algebra
Daniel Norman and Dan Wolczuk
3rd Edition
Pearson
The SFU Bookstore will stock both the hardcopy and the electronic version of this textbook. Students are encouraged to obtain the hardcopy.
ISBN: 987-0-13-468263-1
RECOMMENDED READING:
Stephen Boyd and Lieven Vandenberghe
ISBN: 978-1-316-51896-0
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website 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
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.