Mathematics 115AH - Linear Algebra - Fall 2019 - UCLA

Instructor: Burt Totaro.
E-mail: totaro@math.ucla.edu.

Course webpage: www.math.ucla.edu/~totaro/119ah.1.15f/index.html

Book: K. Hoffman and R. Kunze, Linear Algebra, Prentice Hall, second ed., ISBN: 978-0135367971. The book is out of print, but you can buy a reprint from the UCLA Store for about $15.00. Or you can buy an electronic copy from the UCLA Store for about $10.00.

Alternate book: S. Friedberg, A. Insel, and L. Spence, Linear Algebra, Pearson, ISBN: 9780134860244. This is sometimes used for 115A and 115B; the material is similar to Hoffman-Kunze, but with more emphasis on applications.

Course Description: Linear algebra is a subject that permeates almost all of mathematics, both pure and applied. For example, calculus is based on approximating arbitrary functions by linear maps, which are easy to analyze. This simple idea makes linear algebra fundamental to algebra, analysis, geometry, physics, and statistics.
Your primary goals in the course should be to understand linear algebra from a rigorous point of view and to learn to write clear and precise proofs.

Material to be covered: Vector spaces, linear transformations, determinants, inner product spaces, orthogonal and unitary transformations, diagonalization, dual spaces. You should have seen much of this material from a computational point of view. Familiarity with complex numbers is also required.

Course outline: My plan is to cover sections 2.1-4, 3.1-5 and 3.7, 6.2, 6.4, and 8.1-5 in the book by Hoffman and Kunze.

Grading: Grades will be assigned based on the higher of the following two schemes:
10% homework + 25% first midterm + 25% second midterm + 40% final
10% homework + 35% (best of two midterms) + 55% final

Evaluation: Miscellanea: Catalog description: 115AH. Linear Algebra. (5) Lecture, three hours; discussion, two hours. Requisite: course 33A with grade of B or better. Techniques of proof, abstract vector spaces, linear transformations, and matrices; determinants; inner product spaces; eigenvector theory. Honors course parallel to course 115A. P/NP or letter grading.