MATH 2R03 is a second course in linear algebra. From the calendar:
Comparison to Math 2LA3:
This course's primary concern will be the theory of linear algebra. Math 2LA3 focuses more on the applications of linear algebra, and is offered in both terms. At least one (you can take both) of Math 2LA3 or Math 2R03 is required for all Honours Math and Stats programmes. Math 2R03 is required for Honours Math and Stats with a Mathematics subplan. Either linear algebra course is an allowable prerequisite for most third year Math and Stats courses. For Math 3A03, Math 3B03, Math 3GR3, Math 3F03, Math 3FF3 and Math 3QC3, the requirement is Math 2R03.
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Important Note:
This webpage will be static; the purpose of this webpage is to collect together all of the needed resources for the course. All news and changes to the course will will be posted on Avenue-To-Learn.
Instructor:
Office: Hamilton Hall 419 (currently: my dining room table)
Office Hours: Thursday 12:30-1:30 (this is the scheduled class time)
See Avenue-to-Learn for Zoom link.
Email: vantuyl@math.mcmaster.ca
Place and Time:
Synchronous lectures and tutorials will done via Zoom; links provided in Avenue-to-Learn.
Class C01: Monday, Thursday 12:30-1:20, Tuesday 1:30-2:20
Tutorial T01: Wednesday 10:30-11:20
Tutorial T02: Wednesday 11:30-12:20
Textbook:
Linear Algebra Done Right
by Sheldon Axler
Here is a link to the book
on the campus bookstore website: Purchase at Campus Bookstore
TA:
TBD
Important Links:
Besides Zoom, the following online resources will be used during this course:
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We will be using the following schedule. Please note that there may be changes; always refer to Avenue-to-Learn for any updates.
Course Delivery:
The course will be delivered using both asynchronous and synchronous components. The asynchronous component consist of video lectures of the course material (posted on Avenue and YouTube). For the synchronous component, we will use the scheduled class time as follows:
Copy of the course lecture notes can be found here:
A detailed schedule is given below.
Math 2R03 Schedule | ||
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Week 1 (Jan 11-15) | ||
Homework: Assignment 0 (Due Jan 16) | ||
Lecture | Topic | Video |
Lecture 0 | Introduction | Video |
Lecture 1 | 1.A R^n and and C^n | Video |
Lecture 2 | 1.B Vector Spaces | Video |
Lecture 3 | 1.C Subspaces I | Video |
Week 2 (Jan 18-22) | ||
Homework: Assignment 1 (Due 23) | ||
Lecture 4 | 1.C Subspaces II | Video |
Lecture 5 | 2.A Span and Linear Independence I |
Video |
Lecture 6 | 2.A Span and Linear Independence II | Video |
Week 3 (Jan 25-29) | ||
Homework: Assignment 2 (Due Jan 30) | ||
Lecture 7 | 2.B Bases | Video |
Lecture 8 | 2.C Dimension | Video |
Lecture 9 | 3.A Vector Space of Linear Maps | Video |
Week 4 (Feb 1-5) | ||
Homework: Assignment 3 (Due Feb 6) | ||
Lecture 10 | 3.B Null Spaces and Ranges I | Video |
Lecture 11 | 3.B Null Spaces and Ranges II 3.C Matrices |
Video |
Lecture 12 | 3.D Invertibility and Isomorphic Vector Spaces I |
Video |
Week 5 (Feb 8-12) | ||
Homework: Study for Midterm 1 (Feb 11) | ||
Lecture 13 | 3.D Invertibility and Isomorphic Vector Spaces II |
Video |
Lecture 14 | 4 Polynomials | Video |
Lecture 15 | Midterm 1 (Feb. 11) | |
Week 6 (Feb 15-19) | ||
Reading Week (No Classes) | ||
Week 7 (Feb 22 - 26) | ||
Homework: Assignment 4 (Due Feb 27) | ||
Lecture 16 | 5.A Invariant Subspaces I | Video |
Lecture 17 | 5.A Invariant Subspaces II 5.B Eigenvectors and Upper-Triangular Matrices I |
Video |
Lecture 18 |
5.B Eigenvectors and Upper-Triangular Matrics II |
Video |
Week 8 (March 1-5) | ||
Homework: Assignment 5 (Due March 6) | ||
Lecture 19 | 5.C Eigenspaces and Diagonal Matrices | Video |
Lecture 20 | 8.A Generalized Eigenvectors and Nilpotent Operators I |
Video |
Lecture 21 | 8.A Generalized Eigenvectors and Nilpotent Operators II |
Video |
Week 9 (March 8-12) | ||
Homework: Assignment 6 (Due March 13) | ||
Lecture 22 | 8.B Decomposition of an Operator I | Video |
Lecture 23 | 8.B Decomposition of an Operator II | Video |
Lecture 24 |
8.C Characteristic and Minimal Polynomials |
Video |
Week 10 (March 15-19) | ||
Homework: Study for Midterm 2 (March 18) | ||
Lecture 25 | 8.D Jordan Form | Video Extra Video |
Lecture 26 | 6.A Inner Products and Norms I | Video |
Lecture 27 | Midterm II (March 18) | |
Week 11 (March 22-26) | ||
Homework: Assignment 7 (March 27) | ||
Lecture 28 | 6.A Inner Products and Norms II | Video |
Lecture 29 |
6.B Orthonormal Bases | Video |
Lecture 30 | 6.B Linear Functionals | Video |
Week 12 (March 29-April 2) | ||
Homework: Assignment 8 (April 3) | ||
Lecture 31 | 7.A Self-Adjoint and Normal Operators I | Video |
Lecture 32 | 7.A Self-Adjoint and Normal Operators II | Video |
Lecture 33 | 7.B The Spectral Theorem | Video |
Week 13 (April 5-9) | ||
Homework: (Nothing due this week) | ||
Lecture 34 | 7.C Positive Operators and Isometries | Video |
Lecture 35 | 7.D Polar Decompositions | Video |
Lecture 36 | 7.D Singular Value Decomposition | Video |
Week 14 (April 12-13) | ||
Homework: Assignment 9 (Due April 13) | ||
Lecture 37 | Buffer/Review | |
Lecture 38 | Buffer/Review) |
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There will be nine homework assignments (your lowest mark will be dropped). Assignments are posted below. Assignments will be submitted via Crowdmark. You will receive an email to your McMaster account that you will use to upload your assignment. All assignments due by 11:59PM on the due date.
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All class handouts are available as PDF files. All course notes will be posted on Avenue-to-Learn.
Course Information (A docx file)
Course handout from first day of class
Midterm 1 Review Sheet
Handout describing first midterm.
Midterm 2 Review Sheet
Handout describing second midterm.
Exam Review Sheet
Handout describing final exam.
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Weighting 1
20% = 9 Assignments (best 8 used)
40% = Midterms (2 x 20%)
40% = Final Exam
Weighting 2
20% = 9 Assignments (best 8 used)
20% = Maximum of Midterm 1 and 2
60% = Final Exam
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