Linear Algebra, Honors -- Math 544H
Frank Thorne - Spring 2022
University of South Carolina
Instructor: Frank Thorne, Coliseum 1022D, thorne [at] math [dot] sc [dot] edu
Office Hours: Mondays 4:00-5:00, Tuesdays 1:30-2:30, Wednesdays 10:30-11:30. Via Microsoft Teams
at first; later by Teams or in-person.
Covid-19 Safety:
- Don't come to class if you have Covid-19 (confirmed or suspected).
- Masks are required in university buildings.
- Classes will be livestreamed over Microsoft Teams at the beginning of the term each day, and later
if needed. If you wake up with Covid symptoms let me know, stay home, and participate online.
- Please spread out in class, to the extent possible.
- (Not required) The vaccine is strongly recommended. You can get it
on campus (walk-up, M-F, 9:00-3:00) or
off campus.
If you suspect Covid-19, the university requests that you go through official channels:
contact the COVID-19 Student Health Services (SHS) nurse line (803-576-8511), complete the COVID-19 Student Report Form and select the option allowing the Student Ombuds to contact your professors.
When talking with the SHS nurse, be sure to ask for documentation of the consult as you will need this to document why you missed class. You will also use the COVID-19 Student Report Form if you have tested positive for COVID-19 or if you have been ordered to quarantine because of close contact with a person who was COVID-19 positive. In each of these situations you will be provided appropriate documentation that can be shared through the Student Report Form.
Course objectives/learning outcomes:
Successful students will:
-
Understand the concept of a real vector space from an algebraic and a geometric point of view. The student will master related concepts such as bases and linear independence, norms, inner products, and so forth.
-
Understand the most important maps between vector spaces -- the
linear transformations. The successful student will be able to describe
their structure and describe it in terms of ranks, nullspaces, etc.
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Understand how to manipulate matrices and explain the correspondence between
matrices and linear transformations.
-
Understand what eigenvalues are, why they are interesting, and why one would
want to compute them.
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See applications of all of the above to engineering and physical and social sciences. To give just one example --- at the heart of Google search is an eigenvalue. (The student
will not master this over the course of only one semester! If you give it thirty years, maybe. But people are developing new applications for linear algebra all the time.)
-
Develop their ability to understand and explain rigorous mathematics and prove simple statements. This is a 500-level math class, and as such proofs will be required on homeworks and exams. If you have limited background in proofs, then this course will help bolster it.
Course non-objectives/learning non-outcomes:
Linear algebra is too big of a subject to really do justice to in one semester. Therefore we will mostly omit some beautiful topics.
- The course will probably say little about the very interesting and important questions
when doing linear algebra in the "real world" -- which involves imprecise measurements and computational precision issues. The student who would like to see this beautiful topic emphasized should instead take Math 526.
- The course will develop only a minimal amount of formalism -- so the vector space axioms, fields other than R, infinite-dimensional vector spaces, inner products other than the "obvious" one coming from geometry, etc. will not be talked about much. This material would be more appropriate in a more advanced course.
Please see me at the end of the term, or pursue a relevant term project, if you would be interested in learning more about these aspects of the subject.
Warning. You should expect 5-8 hours of homework a week in this class, which is more than most other instructors assign;
in my experience there is no other way to learn the material. Your consistent effort will certainly lead to improved understanding,
and it will almost certainly lead to you earning high grades.
Text : Jim Hefferon,
Linear Algebra (fourth edition).
The book is available by clicking the link above, click on the link above
to download a PDF. It is completely free. You can also purchase a cheap printed copy if you like.
Thanks to the author for making this high quality material available for free! If you enjoy his books,
please consider contacting them directly and saying so.
Lectures : 9:40-10:30, MWF, COL 2034.
Classes will also be livestreamed over Teams at the beginning, and also later as needed.
Microsoft Teams : The course will heavily use Microsoft Teams for announcements,
discussion, file sharing, and chat. Lecture notes will be uploaded there as well.
Please either check Teams daily, or have it forward new announcements to your email. You can ask me questions directly via teams. Although private questions are okay, please ask your question publicly if you are comfortable doing so -- maybe others will be interested in the answer as well!
Exam schedule : The exams will be take home and pledged, of two hours duration.
You will have at least a 72 hour window to complete them, at a time of your choosing.
Dates will
be announced at least a week in advance.
Homework : Warning. I assign a lot of homework.
The homework is intended to take 5-8 hours a week. That is a lot. Please
count on making a consistent effort to do well in this class! Starting the night before is a bad idea.
If homework takes you more than 10 hours on any given week, then that is more than I intended;
please let me know.
Homework will be assigned via Microsoft Teams and may be turned in online or in-person. There will be at least one bonus problem on each homework.
Please note. You will be graded both on correctness and on quality of exposition. Indeed, a major
focus of Math 544 is the ability to communicate mathematical ideas clearly.
The standard is that someone who doesn't know the answer should be able to easily follow your work.
In particular, please write in complete English sentences and draw clear diagrams where appropriate.
Any work that is confusing, ambiguous, or poorly explained will not receive full credit.
Final project :
Instead of a final exam, this course will ask you to do a final project on some aspect of linear
algebra. The choice of topic is up to you; possible topics include: theoretical aspects of linear algebra;
computational aspects of linear algebra; connections to other areas of math; applications to statistics,
computer science, engineering, and the natural or social sciences.
The project will consist of an initial proposal, a term paper, and a 20-minute presentation during the final exam period.
Group work is encouraged. More details will be announced.
Grading scale: You are guaranteed at least the following grades: A = 88+, B+ = 83+, B = 75, C+ = 70+, C = 60+, D = 50+.
  Grade component   |
  % of grade   |
  Two midterm exams   |
  20% x 2   |
  Final project:   |
  20%   |
  Homework:   |
  40%   |
Contacting me :
Please contact me if you have any questions about the course, about my expectations, about my lectures,
about the homeworks, about the reading, or about anything else. The syllabus is demanding and it is my
job to help you succeed.
Policies :
If you have a legitimate conflict with any of the exams it is your responsibility to inform me at least a week before the exam.
Otherwise makeup exams will be given only in case of illness or emergency.
Late homework will in general only be accepted in case of illness or emergency.
Academic honesty and attendance are expected of all students.