# Fall 2023 - MATH 240 D100

## Overview

• #### Course Times + Location:

Sep 6 – Dec 5, 2023: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby

Oct 10, 2023: Tue, 11:30 a.m.–12:20 p.m.
Burnaby

• #### Exam Times + Location:

Dec 16, 2023
Sat, 12:00–3:00 p.m.
Burnaby

• #### Instructor:

Nilima Nigam
nna29@sfu.ca
1 778 782-4258
• #### 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
• 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
Complex Numbers
• The Complex Plane,Complex Conjugate, and Magnitude
• Polar Form, De Moivre's Formula and Euler's Formula
Eigenvalues and Eigenvectors
• Complex Eigenvalues
• Computing Eigenpairs
• Diagonalization
• Eigenvectors and Linear Transformations
• Application: The Leslie Age Distribution model
Orthogonality and Least Squares
• Inner Product, Length and Orthogonality
• Orthogonal Sets
• Orthogonal Projections
• The Gram-Schmidt Process
• Application: Least Squares Problems
Matrix Decompositions
• LU, QR, SVD
Determinants
• Determinants and their Properties

• Homework / Quizzes 13%
• Hand-In Proofs 12%
• Midterm 1 15%
• Midterm 2 15%
• Final Exam 45%

## Materials

Linear Algebra with Applications
W. Keith Nicholson
This is an open textbook freely available on the following webpage:
https://lyryx.com/linear-algebra-applications/

Linear Algebra and Its Applications
6/E
Lay, Steven R.; Lay, David C.; McDonald, Judith; McDonald, Judi J.
Pearson Education

eTextbook access available on the Pearson website at a lower cost than hardcopy.

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.