Where: CHEM D 200.

When: MWF 10-11am.

My office: Math 217.

e-mail: gor at math dot ubc dot ca

Office Hours: Wednesday 11-12:30, Friday 12:30-2pm, and by appointment.

TA: Yuve; Yuve's office hour: Monday 1-2pm, in MATX 1101 (Math Annex, ground floor).

- Textbook: Janisch, "Linear Algebra". Available online at UBC library
- Course outline
- We will be using Piazza for class discussions. Please ask the mathematical questions on
Piazza rather than e-mailing the instructor.
- The sign-up link .
- The class link.

- There will be a "basics quiz" in class in early February (date TBA) and a midterm in mid-March (date TBA).
- The date of the final exam will be available in February.

- Please take the mid-semester survey (your answers are completely anonymous and cannot be traced back to you).
- The midterm will be on Friday March 10, in class.
- List of topics for the midterm Here are some review problems from the past exams:
- Final 2012T1 : Problems 1, 4 from "calculation" section, all problems from "definitions" section, and Problems 1, 2(a) and (b) only, and 3 from Section 3.
- Exam from 2013 Problems 1, 2 part (2) only, Problem 3 part (1) ("nullity" is the dimension of the kernel), Problem 4, Problem 8, Problem 9.
- exam from 2008 T2 Problems 2,4,5,6, 8,9
- Exam from 2008 T1 Problems 1, 6 (a), 7.

- New due date for the computer project: Wednesday March 1, 11:59pm on Canvas.
- I will have an extra office hour on Monday Feb 27, 11am -- noon.
- Our TA Yuve has office hours on Mondays, 1-2pm, in Math Annex room 1101.

The solutions are on Canvas, under "Files".

- Here are some resources if you want to start using TeX.

- Problem Set 1 . TeX
(source code) for Problem Set 1.
(due Monday Jan. 16, on Canvas).
A zip file with the questions from Homework 1,
helpful if you want to start using Overleaf.
In Overleaf, click on "new project", select "import project" and drag this
file into the box that opens. This will help you get started right away!

Supplementary problems on sets. (Do not hand in). - Problem Set 2 . TeX (source code) for Problem Set 2. (due Wednesday Jan. 25, on Canvas). A zip file with the questions from Homework 2.
- Problem Set 3 . (Due Thursday February 2 on Canvas) TeX source for Problem Set 3 . The zip file with the questions from Problem Set 3 (for easy import into overleaf).
- Problem Set 4 . (Due Thursday February 9 on Canvas) TeX source for Problem Set 4 . The zip file with the questions from Problem Set 4 (for easy import into overleaf).
- Problem Set 5 . (Due Monday Feb 27 at 10pm on Canvas) TeX source for Problem Set 5 . The zip file with the questions from Problem Set 5 (for easy import into overleaf). Note the unusual due date!
- Problem Set 6 . (Due Thursday March 3 at 10pm on Canvas) TeX source for Problem Set 6 . The zip file with the questions from Problem Set 6 (for easy import into overleaf).
- Homework 7: (Due Thursday March 23 on Canvas).

Two of the problems are from the textbook by Curtis, which can be found At this library link .

Problem Set 7 . TeX source for Problem Set 7 . The zip file with the questions from Problem Set 7 (for easy import into overleaf).

- Monday Jan. 9 : The basics: motivation; starting the language set-up: set notation, subsets, Venn diagrams. Section 1.1 Notes
- Wednesday Jan. 11 : Sections 1.1, 1.2: Cartesian products of sets, maps between sets. Notes.
- Friday Jan. 13 :
Diagnostic quiz (not for marks);
images/preimages; projections. (Section
1.2).
Notes .

- Solution to the diagnostic quiz
- Just in case, here is a note about negating statements with quantifiers (as you can tell, written based on students' mistakes).
- Supplementary notes on images and preimages.

Please do Section 1.3 "test" in Janisch. - Monday Jan. 16 : Vector spaces (Sections 2.1, start 2.3). Notes .
- Wednesday Jan. 18 : Vector spaces, continued; linear subspaces (Sections 2.1, 2.3). Then started complex numbers (Section 2.2) Notes
- Friday Jan. 20 :
Complex numbers, and fields in general, including the example of a field
of p elements.
Sections 2.2 and 2.5.
Notes

A note about reading: Please do Section 2.4 ("test") to make sure you understand all the basic concepts. Section 2.5 is included completely, please read it carefully; Section 2.6 is skipped (read only if you are interested); Sections 2.7 and 2.8 are recommended but completely optional. - Monday Jan. 23 : Linear span of a set of vectors; linear dependence and independence; the notion of a basis. Sections 3.1 and 3.2. Please read 3.1 (and start 3.2). Notes
- Wednesday Jan. 25 :
Bases, continued. The basis extension theorem (Section 3.2).
Reading: proof of the basis extension theorem in Section 3.4.
Notes .

The proof in Section 3.4 uses mathematical induction; the proof in class does the same thing without formally referring to induction. Eventually, we will need to use proof by induction. If unfamiliar with induction, please watch short lecture by Prof. Rechnitzer .

If you like extra practice on induction, here is A worksheet on induction ; solutions to the worksheet problems are in the second half of this lecture note . - Friday Jan. 27 : Will finish basis exchange lemma (Section 3.2), and prove that the notion of dimension of a vector space is well-defined (section 3.2). The sum and intersection of linear subspaces (section 3.2). Please finish reading the proofs in 3.4. Notes .
- Monday Jan. 30 :
Started Chapter 4, Linear transformations. Defined linear transformations
and their matrices. Notes.

Reading: please read Sections 4.1 and 4.2 by Friday! - Wednesday Feb. 1: Guest lecture by Prof. Patrick Walls . Please bring your computer! Jupyter notebook from today's lecture. (You will need to download it and then import into Jupyter at: ubc.syzygy.ca (after logging in with your CWL).
- Friday Feb.3 : Matrix multiplication. Please read 5.1 and 5.2. Notes .
- Monday Feb.6 :
Finishing 4.1-4.2 and 5.1-5.2; Basics quiz.
Linear transformations and matrices, continued: the kernel and image of a
linear transformation. Rank of a matrix. (We will finish sections 4.1 and
4.2 skipping some of the proofs); Sections 4.4 and 4.5 will be postponed
for a while.
Notes.

Solutions to the Basics Quiz . - Wednesday Feb.8 :
Finishing 4.2 and 5.1-5.2: dimesion formula for the kernel and image
of a linear transformation. Rank of a matrix.
Notes .

At this point we finished all of Sections 4.1-4.2 and 5.1-5.2. Please read them entirely! Section 4.4 is skipped for now (will do it much later); Section 4.5 -- skipped for now but the computer project is related to it; you can read it for curiosity (not required). - Friday Feb.10 :
Elementary linear transformations (Section 5.3);
systems of linar equations (Section 7.1).
Notes

- Monday Feb.13 :
The inverse of a matrix (Section 5.5)
Reduced row echelon form of a martix. (Sections 7.1 and 7.3)

Notes from class .

This material is not exactly in our textbook (our text does not use the terminology of "echelon form" and "pivots", though the algorithm is described in Section 7.3), but it is very important. Please read, for example, this note: Note by Arash Farahmand . (In fact, there are many many online resources, just google "echelon form of a matrix" and take your pick). The alternate textbook by Curtis also has a section about it, see Chapter 2 section 6 on p.38.

At this point we finished all of Sections 5.1-5.5 of Janisch; you are responsible for these and (Reduced) Echelon Form, and Sections 7.1, 7.3.

Section 5.6 (together with 4.5) is optional reading, somewhat covered by our computer project. Will comment on these sections later. You can also read Section 7.5 (optional) -- we will skip it; it could be confusing -- echelon form is enough for solving systems of equations, we do not really need the column operations. - Wednesday Feb.15 :
Did one more example of the reduced row echelon form, and then discussed
what it means for a matrix to be invertible, and started Chapter 6,
"Determinants".
Notes

Please read 6.1 and 6.2. - Friday Feb.17 : Determinants. Sections 6.1 and 6.2 Notes .
- FEB 20 - FEB 25 : Break!

Please remember: the computer project and Homework 5 are due right after the break. - Monday Feb.27 :
Determinants. Sections 6.1 and 6.2, some of 6.3, a little of 6.8 (this
will not be tested but it is good to be aware of the Liebniz' formula),
6.9.
Notes .

By now, you should be comfortable with 6.2 and all the statements (if not proofs) in 6.1. The proofs in 6.1 that are skipped by now will be skipped; if interested, please read them and feel free to ask me questions. Next class will cover the rest of 6.3, and then 6.4 and 6.5. - Wednesday March 1 : Determinants, continued: properties. Determinant of an upper-triangular matrix; determinant of the transpose matrix; det of a block-diagonal (or block upper-triangular) matrix; determinant of the product of matrices. Sections 6.2, 6.3, 6.5. Notes (use "transposition" -- well, not really, just rotation by 90 degrees -- to look at them -- used Landscape mode today).
- Friday March 3 : Cramer's rule; inverting a matrix using the adjugate. Sections 6.4, 6.7 and 7.2. Notes .
- Monday March 6 : Review for the midterm. Please bring questions! Notes .
- Wednesday March 8 : More review. Also covered Section 4.4 (not on the exam!). Notes
- Friday March 10 : Midterm in class.
- Monday March 13 :
Euclidean spaces, inner products. Section 8.1
Notes .

I am sorry, I realized that I was sloppy about the matter of the definition of the angle between vectors (a small correction is posted in the notes, see the blue text; will talk about this next time. Sorry.) - Wednesday March 15 : Cauchy-Schwartz inequality; norms and triangle inequality; the notion of orthogonal complement (Sections 8.1 and some of 8.2) Notes
- Friday March 17 : Section 8.2: orthogonal projections, Gram-Schmidt orthonormalization process. Notes
- Monday March 20 :
Example of using the Gram-Schmidt orthogonalization; orthogonal
transformations (Section 8.3).
Please read 8.1--8.3 completely.

Notes

Section 8.4: optional reading. - Wednesday March 22 : Eigenvalues and eigenvectors. Sections 9.1 and 9.2. Notes
- Friday March 24 : Will finish sections 9.1 and 9.2. Please read again the last page of Section 4.3 (p. 73) about the connection of a matrix of a linear operator with a choice of basis. This point will be discussed again in the lecture.