Fall 2024 - MATH 240 D100
Algebra I: Linear Algebra (3)
Class Number: 3958
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 4 – Dec 3, 2024: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
BurnabyOct 15, 2024: Tue, 11:30 a.m.–12:20 p.m.
Burnaby -
Exam Times + Location:
Dec 16, 2024
Mon, 3:30–6:30 p.m.
Burnaby
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Instructor:
Michael Monagan
mmonagan@sfu.ca
1 778 782-4279
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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. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.
COURSE DETAILS:
Linear Equations
- Systems of Linear Equations, Row Reduction and Echelon Form
- Vectors, Vector Equations, Matrices
- The Matrix Equation Ax=b
- Solution Sets of Linear Systems
- Matrix Inverse
- Linear Independence, Rank and Dimension
- Introduction to Linear Transformations
- The Matrix of a Linear Transformation
- Vector Spaces and Subspaces
- Null Spaces, Column Spaces, and Linear Transformations
- Linearly Independent Sets; Bases for Subspaces
- Coordinate Systems
- The Dimension of a Vector Space
- Change of Basis
- Determinants and their Properties
- Cramer's Rule
- Arithmetic in Cartesian Co-ordinates
- The Complex Plane,Complex Conjugate, and Magnitude
- Polar Form, De Moivre's Formula and Euler's Formula
- Roots of Quadratic Polynomials
- Complex Eigenvalues
- The Characteristic Equation
- Diagonalization
- Eigenvectors and Linear Transformations
- Application: The Leslie Age Distribution model
- Inner Product, Length and Orthogonality
- Orthogonal Sets
- Orthogonal Projections
- The Gram-Schmidt Process
- Application: Least Squares Problems
Grading
- Homework / Quizzes 10%
- Hand-In Proofs 10%
- Midterm 1 15%
- Midterm 2 15%
- Final Exam 50%
Materials
REQUIRED READING:
Linear Algebra and Its Applications
6/E
DAVID C. LAY; JUDI J. MCDONALD; STEVEN R. LAY
Pearson Education
ISBN: 9780135851159
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.