MATH 2040

Matrix Theory Linear Alg II

Lec 01 selected

This course is a continuation of MATH 1030.03. Topics include: vector spaces and linear transformations, complex numbers, real and complex inner product spaces, orthogonal and orthonormal bases, Gram-Schmidt procedure, orthogonal projections, generalized Fourier series, orthogonal and unitary transformations, diagonalization of symmetric and hermitian matrices, quadratic forms, least squares approximation and curve fitting, applications.

Sections

Lecture

From the syllabus

From the Winter 2025 syllabus by Daniel Teixeira. Winter 2027 is taught by Kolokolnikov T., so details may differ. Open the PDF

Grading

5%Participation
15%HomeworkWeekly; lowest score dropped
20%Midterm 1February 6
20%Midterm 2March 11
40%Final examScheduled by Registrar

Textbook

  • Linear Algebra Done Right, fourth edition, Sheldon Axler

Course rules

Exam sheet
One prepared handwritten A4 study sheet is allowed at midterms and the final.
Midterms
Each midterm has an individual exam followed by the same exam completed in small groups.
Missed exams
For exceptional circumstances, email the instructor in advance to discuss possible alternatives.
Late homework
Late homework is not accepted without the instructor’s prior permission.
Homework drops
The lowest homework score is dropped; a short application note can enable two additional drops.
Collaboration
Group work is encouraged, but homework and exams must be completed individually.

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