Linear algebra is the machinery that is used to understand systems of linear equations in many variables, as well as the geometry of lines, planes, and, in fact, linear spaces of any dimension. Linear phenomena are ubiquitous in nature and applications, and many nonlinear phenomena can be profitably studied by linear approximations. The first part of our course will deal with standard systems of linear equations and the matrix techniques used to solve them. As the course develops we will learn the geometric meaning of these technqiues and how to apply them to many other situations. The second part of the course will focus on linear differential equations and will assume familiarity with the content of Math 1B. We will discuss both ordinary and partial differential equations. Grading will be based on the two midterms, the final, daily homework, and frequent quizzes.
There are two required texts. The first is Elementary Linear Algebra, by Richard Hill. We have arranged for a special paperback edition, containing only the chapters needed for our course, to be published by Thomson Custom Publishing (see www.thomsoncustom.com). The second required text is Elementary Differential Equations and Boundary Value Problems, by William E. Boyce and Richard C. DiPrima, with a special UCB paperback edition published for us by Wiley and Sons. Both texts should be avaialbe at the ASUC store.
Enrollment in this course is handled by the Head GSI, Aaron Greicius:
Please do not ask me any enrollment questions; I will not be able to answer them.
Study Group
The student learning center offers a study group for this course, which is highly recommended. It is run this year by Danny Tran .
Student Learning Center sponsors:
Math 54 Study Group
Danny Tran
TuTh 1-2pm
201A Cesar Chavez (SLC)
email: dmantran@berkeley.edu
Final Review: Sunday 5/15 12-3pm 60 Evans
Midterm Information:
The exam will be given during regular class time, in the usual room. You will need to sit in the area assigned to your GSI, who will distribute and collect the examination. Paper will be provided by us; just bring pencils. No notes or calculators are allowed.
Midterm Solutions, and Grade distribution
Midterm 2 Solutions and Grade distribution
Here's your chance to let us know how the course is going for you and what we should try to do better. It's a new service, it's free and it's easy. Go here.
Final Examination Information
We are in Exam group 13, with our final exam scheduled for 5/18/05 at 8:00 am. Be sure to that you have no conflicts.
*Homework Assignments*--Note changes!!
Solutions to odd numbered problems.
Inverses of two by two matrices
Linear dependence, bases, and dimension
The Cauchy Schwartz inequality
Least squares---the heart rate example
The heart rate example again, with orthogonal inputs
Orthogonal projection and Gram-Schmidt
Determinants and "Down with Determinants!"
A vector field plot showing eigenspaces
Symmetric and Hermitian Matrices
Jordan Normal form of 2x2 matrices
Second order differential equations---summary
Systems of differential equations---summary
Vectorfields and trajectories---a walk in the park
Classification of phase trajectories
Boundary value problems--updated
Fourier series expansion of square wave
Quicktime movie of heat diffusion
Quicktime movie of heat diffusion---right end insulated