Math 317 - Theory of Linear Algebra - Sections 2 and 3
Instructor: Jonas Hartwig email@example.com Office: Carver 470, office hours TF 3-4.
TA/Grader: Issac Odegard. Office 477, office hour W 2-3.
Course Log and Homework Assignments
Click here for a list of recommended practice problems.
Aug 26-30: §1.1, §4.1, §1.2. HW: §1.1 #11,20,22a
Sep 2-6: §1.4, §1.5, §2.1. HW: §1.2: #8,10; §1.4: #6,13b
Sep 9-13: §2.2, §2.3, §2.4. HW: §1.5: #28ab; §2.1: #5
Sep 16-20: §2.4, §3.1, §3.2. HW: §2.2: #9,11a; §2.3: #8b; §2.4: #7b,14bc
Sep 23-27: Thursday Exam 1 on Ch.1 & Ch.2 HW: §3.1: #5b,9b,11b; §3.2: #2d,5,7
Sep 30-Oct 4:
Oct 28-Nov 1: Thursday Exam 2 on Ch.3 & Ch. 4
Nov 18-22: Thursday Exam 3 on Ch.5
Nov 25-29: Thanksgiving break
Dec 16-20: Finals week
MATH 317 Section 2: Thursday December 19 at 12:00 PM
MATH 317 Section 3: Tuesday December 17 at 2:15 PM
MATH 317. Theory of Linear Algebra.
(4-0) Cr. 4. F.S.SS. Credit or enrollment in MATH 201
Systems of linear equations, determinants, vector spaces, inner product spaces, linear transformations, eigenvalues and eigenvectors.
Emphasis on writing proofs and results. Only one of MATH 207 and MATH 317 may be counted toward graduation.
Andrilli and Hecker
Elementary Linear Algebra
Chapter 1: Vectors and Matrices (6 lectures)
Chapter 2: Systems of Linear Equations (7 lectures)
Chapter 3: Determinants and Eigenvalues (8 lectures)
Chapter 4: Finite-Dimensional Vector Spaces (16 lectures)
Chapter 5: Linear Transformations (15 lectures)
Chapter 6: Orthogonality (7 lectures)
In-class activities: 15%
Exams 1-3: 15% each
Objectives for Math 317
Be able to:
- use vector algebra, matrix algebra and dot products to manipulate vector and matrix equations.
- find the solution set to a given linear system of equations in parametric form.
- compute the echelon and reduced echelon forms of a matrix .
- compute row space, column space, null space, left null space, rank of a matrix.
- compute inverse matrices.
- compute orthogonal projections on to vectors and hyperplanes.
- compute determinants, and understand the basic properties of determinants.
- compute orthogonal complements of a subspace
- determine the dimension of a vector subspace
- compute the standard matrix for a given linear transformation.
- compute the matrix for a linear transformation with respect to a given basis.
- compute an orthogonal basis from one that is not orthogonal.
- find an orthogonal matrix that diagonalizes a given symmetric matrix.
Be able to prove simple theorems on fundamental properties of linear algebra. These could include the following.
- Prove a given set is a subspace (or prove it is not).
- Prove a given set of vectors is linearly independent (or prove it is not).
- Prove a given transformation is linear (or is not).
- Use key theorems such as the Dimension Theorem to deduce properties of a given linear transformation.
- Prove whether a set of vectors forms a basis.
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