math304:fall2022

## Linear Algebra - Math 304

#### Fall 2022 - Course Coordinator: Alex Feingold

SecInstructorOfficeEmail(*)MeetsRoom
1Luke ElliottWH-107ElliottMWF:8:00-9:30WH-G002
2Luke ElliottWH-107ElliottMWF:9:40-11:10WH-G002
3Quincy LoneyWH-332LoneyMWF:11:20-12:50WH-G002
4Quincy LoneyWH-332LoneyMWF:1:10-2:40WH-G002
5Alex FeingoldWH-115FeingoldMWF:2:50-4:20WH-G002
6Michael GottsteinWH-304GottsteinMWF:4:40-6:10WH-G002

(*): To send an email to your instructor, click on the link in the Email column of the table.

If a section has its own detailed syllabus webpage, a link to that page will be provided under the Instructor column of the table above.

Below is a partial syllabus with information for all sections that you should know. Your instructor may have a more detailed syllabus about how your section will be run.

#### Health and Safety Procedures Due to COVID Pandemic

Binghamton University follows the recommendations of public health experts to protect the health of students, faculty, staff and the community at large. Safeguarding public health depends on each of us strictly following requirements as they are instituted and for as long as they remain in force. Health and safety standards will be enforced in this course.

Current rules make face coverings optional, but when they are worn, they should completely cover both the nose and mouth while indoors (unless they are eating or alone in a private space like an office). A face shield is not an acceptable substitute. Classroom safety requirements will continue to be based on guidance from public health authorities and will be uniformly applied across campus. If these requirements change, a campus-wide announcement will be made to inform the University.

#### Textbook

Linear Algebra” by Jim Hefferon, Fourth Edition, available as a free download here:

One can buy a cheap printed version and access more free resources at the textbook's official website.

Here are also some additional books that students and instructors may find helpful.

There are also resources for Linear Algebra on the internet, which may supplement the textbook and homework. For example, the following link takes you to a free website with exercises and feedback on your answers: MathMatize by Jonathan Herman

#### Approximate Exam Schedule (Each section instructor will decide when it is appropriate to give Exams 1, 2, 3.)

Exam 1: The week of Sept. 26, 2022.

Exam 2: The week of Oct. 31, 2022.

Exam 3: The week of Dec. 5, 2022.

Final Exam: Common exam for all sections, Thursday, Dec. 15, 2022, 3:15 - 5:15 PM, LH-001. Anyone with a final exam conflict must contact their instructor to make an arrangement.

The course total will be determined as follows:

Quizzes: 20% (Quizzes should be given approximately once per week except in weeks when an exam is given.)

Exam 1: 15%

Exam 2: 15%

Exam 3: 15%

Final Exam: 30%

Homework assignments: WebWork Homework (common for all sections): 5%

Quizzes are important for students to keep up with the progress of the course and to provide timely feedback on how the material is being absorbed. By Assessment Day” enough quizzes should have been taken to evaluate each student's progress and make a risk assessment for early warning about problems.

At the end of the course, your grade in the course will be determined by your instructor based on your course total and the following approximate scale. (Borderline cases will be decided by other factors such as attendance or participation.)

A 90%, A- 85%, B+ 80%, B 75%, B- 70%, C+ 65%, C 55%, C- 50%, D 45%

#### Homework

Online homework will be done using WebWork. The server address is

Make sure to change your password as soon as possible to a secure password, and save that choice where it will not be lost.

Important: Besides the WebWork homework sets, you should do problems from the book, either selected by your instructor or as listed below. This part of the homework will not be graded, but it could be important to your success in the course.

You are expected to spend about 12.5 hours per week on average for this class, including in-class lectures, watching instructional videos, solving homework problems (graded and ungraded), reviewing the material, and preparing for the tests. Expect the work load to be higher than average in the weeks before the exams.

#### Expected behavior in class

During classes all students are expected to participate in a way that maximizes their learning and minimizes disruptions for their classmates. If you have any concerns, limitations, or circumstances, please communicate with your instructor to find the most appropriate solution.

For all graded assignments and exams, you are not allowed to use any help not explicitly authorized by your instructor. This includes, but is not limited to, problem-solving websites, notes, help from other people, etc. All instances of academic dishonesty will be investigated, penalized, and referred to the appropriate University officials for maximal possible punishment. Cheating will not be tolerated.

#### Getting Help

If you fall behind in class, or need extra help to learn the material, talk to your instructor as soon as you can. They should be able to help you and also point you to other resources. We also encourage you to talk to your classmates, and, in particular, to form informal study groups to prepare for the exams.

#### Disability Information

If you have a disability for which you are or may be requesting an accommodation, please contact both your instructor and the Services for Students with Disabilities office (119 University Union, 607-777-2686) as early in the term as possible. Note: extended time for the examinations may require special scheduling.

### Suggested problems from our textbooks

The table below contains suggested problems from sections of our textbooks (Heffron or Matthews) in the format “Chapter:Section.Subsection.ProblemNumber”. Your instructor may suggest other problems or exercises. These problems are for practice only and are not to be turned in. There will be graded homework assignments given through WebWork which should be done in the order indicated by your instructor. The order in which material is presented in class meetings will be determined by your instructor, and may not precisely follow the order in our textbooks.

Topics Text Problems
Introduction, preview, examples; linear combination Ch. 1, I.1 1:I.1.17,19,21
Gaussian elimination (reduction) Ch. 1, I.1 1:I.1.22,24,27,32
(Augmented) matrix of a system, solution set Ch. 1, I.2 1:I.2.15,16,17,18,21,25
Basic logic: statements, connectives, quantifiers Appendix
Set theory, general functions Appendix
Homogeneous and non-homogeneous systems (no formal induction in Lemma 3.6) Ch. 1, I.3 1:I.3.15,17,18,20,21,24
Points, vectors, lines, planes Ch. 1, II.1 1:II.1.1,2,3,4,7
Distance, dot product, angles, Cauchy-Schwarz and Triangle InequalitiesCh. 1, II.2 1:II.2.11,12,14,16,17,21,22
Gauss-Jordan reduction, reduced row echelon form Ch. 1, III.1 1:III.1.8,9,10,12,13,14,15
Linear combination lemma, uniqueness of RREF (no proofs of 2.5, 2.6) Ch. 1, III.2 1:III.2.11,14,20,21,24
Matrix operations, including the transpose. Linear system as a matrix equationMatthews 2.13:III.1.13,14,15,16
Linear maps (transformations) given by matrices Matthews 2.2 3:III.1.19; 3:III.2.12,17,30
Vector spaces: definition, examples Ch. 2, I.1 2:I.1.17,18,19,21,22,29,30
Linear maps between vector spaces Ch. 3, II.1 3:II.1.18,19,20,22,24,25,26,28
Subspaces. Span Ch. 2, I.2 2:I.2.20,21,23,25,26,29,44,45
Linear independence Ch. 2, II.1 2:II.1.21,22,25,28
Properties of linear independence Ch. 2, II.1 2:II.1.29,30,32,33
Basis of a vector space Ch. 2, III.1 2:III.1.20,21,22,23,24,25,26,30,31,34
Dimension of a vector space Ch. 2, III.2 2:III.2.15,16,17,18,19,20,21,24,25,28
Column space, row space, rank Ch. 2, III.3 2:III.3.17,18,19,20,21,23,29,32,39
Range space and Kernel (Null space) Ch. 3, II.2 3:II.2.21,23,24,26,31,35
Invertible matrices: definition, equivalent conditions; inverse matrix Ch.3, IV.4 3:IV.4.13,14,15,16,17,18,19,26,29
Elementary matrices. Row reduction using elementary matrices Ch. 3, IV.3; CDTW Ch. 2, 2.3 3:IV.3.24,25,32
Determinant of a matrix, properties Ch. 4, I.1, I.2 4:I.1.1,3,4,6,9; 4:I.2.8,9,12,13,15,18
More on Determinants Ch. 4, II.1, III.1 4:III.1.11,14,16,17,20,21,22
Matrix of a linear transformation, matrix of the composition, inverseCh. 3, III.1, IV.2 3:III.1.13,17,18,19,21,23
Change of basis, similar matrices Ch. 3, V.1, V.2; Ch. 5, II.1 3:V.1.7,9,10,12; 5:II.1.5,8,11,13,14
Complex numbers Matthews 5.1–5.6 Matthews 5.8.1,2,5,6,7,9
Eigenvectors, eigenvalues, eigenspaces for matrices and linear operators. Characteristic polynomial Matthews 6.1, 6.2; Ch. 5, II.35:II.3.23,24,25,26,27,28,29,30,31
Diagonalization of matrices Ch. 5, II.2, II.3 5:II.3.22,33,36,46
Orthogonal and orthonormal bases of $R^n$ and its subspaces; orthogonal matrices Ch. 3, VI.1, VI.2 3:VI.1.6,7,17,19; 3:VI.2.10
Orthogonal complement of a subspace, orthogonal projectionCh. 3, VI.3 3:VI.3.11,12,13,14,26,27
Gram-Schmidt process; orthogonal diagonalization of matricesCh. 3, VI.2 3:VI.2.13,15,17,18,19,22

#### Syllabi from previous semesters

The syllabus for Math 304 in Spring 2022 is available through this link:

The syllabus for Math 304 in Fall 2021 is available through this link:

The syllabus for Math 304 in Spring 2021 is available through this link:

The syllabus for Math 304 in Fall 2020 is available through this link: