Spring 2023 - MATH 240 D100
Algebra I: Linear Algebra (3)
Class Number: 5290
Delivery Method: In Person
Course Times + Location:
Mo, We, Fr 11:30 AM – 12:20 PM
SSCC 9000, Burnaby
1 778 782-4841
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.
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.
- 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
- 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
- Quizzes 10%
- Midterm 1 20%
- Midterm 2 20%
- Final Exam 50%
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 ofmarks.
Please pay careful attention to the options discussed in class at the beginning of the semester.
This course is delivered in person, on campus, and students are expected to attend all lectures. 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).
Linear Algebra with Applications
W. Keith Nicholson
This is an open textbook freely available on the following webpage:
REQUIRED READING NOTES:
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