Linear Algebra
Fall 2017
Instructor: Matt
Kerr
Office: Cupples I, Room 114
email: matkerr [at] math.wustl.edu
Office Hours: Tuesday 121, Thursday 34, and by appointment
Prerequisites:
Math 310 or permission of instructor. Math 309 is not an explicit
prerequisite, but familiarity with basic topics from matrix theory (matrix
operations, linear systems, row reduction, Gaussian elimination) is
expected, as these will be covered quickly.
Class Schedule:
Lectures are on Monday, Wednesday, and Friday from 121 in
Crow 206, beginning Monday Aug. 28 and ending with a
final exam review class on Friday Dec. 8. Note that Monday Sep. 4, Monday
Oct. 16, Wednesday Nov. 22, and Friday Nov. 24 are holidays.
Midterm Exam 1: Wednesday, Oct. 11 [solutions]
Midterm Exam 2: Wednesday, Nov. 8 (in class)
Final Exam: Wednesday, Dec. 20, 10:3012:30, in the same
classroom.
Regarding missed exams, see the Grading Policy section below.
Calculators aren't allowed, but the exams will not be computationally
heavy.
Textbook:
I encourage you to obtain a copy of:
Friedberg, Insel, and Spence, "Linear Algebra (4th Ed.)", Pearson,
2003;
but I will also post my lecture notes online (and those will be our
primary text).
Course Syllabus:
Introduction to the linear algebra of finitedimensional vector
spaces. A brief outline:
I. Linear Systems
II. Vector spaces
III. Linear Transformations
IV. Determinants
V. Eigenvectors and Eigenvalues
VI. Canonical Forms
VII. Inner Products and Spectral Theory
Assignments:
There will be a weekly homework due by 6 PM on Friday, consisting of the
problems at the end of the sections identified below. You will submit
these through Crowdmark,
via the personalized email link you will receive for each assignment. I
am available for help in office hours. (Regarding late homework, cf. the
Grading Policy below.)
Problem Set 1: (I.A,B) (due Friday Sep. 1)
[solutions]
Problem Set 2: (I.C,D) and (II.A) (due Friday Sep. 8)
[solutions]
Problem Set 3: (II.B,C) (due Friday Sep. 15)
[solutions]
Problem Set 4: (II.D,E) and (III.A) (due Friday Sep. 23)
[solutions]
Problem Set 5: (III.BD) (due Friday Sep. 30)
[solutions]
Problem Set 6: (IV.AB) (due Friday Oct. 6)
[solutions]
Problem Set 7: (IV.C) and (V.AB) (due Friday Oct. 20)
Lecture Notes:
Will be posted below on the day of the lecture. The hope is that this
will make notetaking optional.
I. Linear Systems
A. Geometry of linear systems
B. GaussJordan elimination
C. Matrix algebra
D. Solving linear systems via rowreduction
II. Vector spaces
A. Vector spaces and subspaces
B. Basis and dimension
C. A "nice" basis for subspaces of
R^{n}
D. There is exactly one rref matrix
rowequivalent to any A
E. Coordinates
III. Linear transformations
A. Linear transformations without matrices
B. Linear transformations in terms of matrices
C. Linear functionals I: Derivations and
Jacobians
D. Linear functionals II: the dual space
IV. Determinants
A. Alternating multilinear functionals
B. Computational methods for determinants
C. Properties and applications of determinants
V. Eigenvectors and eigenvalues
A. Linear dynamical systems
B. Mechanics and theory of diagonalization
C. Complex eigenvalues and other topics
Grading Policy:
Homework is worth 40% of your final grade; Midterm Exam 1 and Midterm Exam
2 are worth 15% each; and the Final Exam is worth 30%. I will drop your
lowest 2 homework scores. Grades will be kept track of on blackboard.
If you have to miss an hour exam for a legitimate reason, you will be
given a makeup exam. Of course verified illness and serious family
emergency are legitimate reasons. (For the final exam, those are
the only acceptable reasons.) Regarding other conflicts, email me as
soon as you know about them.
In general, credit will be given for late homework only in the event of
illness or emergency. If you can't make it to class on a Friday to hand
it in, send it with a trusted friend or slip it under my door the day or
the morning before class.
You may discuss homework with other students (calculators are of course
also allowed), but you should not have duplicate solutions. This link takes you to the standard university policies on academic
integrity.

