Math 54--Linear Algebra and Differential Equations

Arthur Ogus

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:

greicius@math.berkeley.edu

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

Final Solutions and Grade distribution

Cumulative grade distribitution


Midterm Course Evaluation

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.

Course Syllabus

*Homework Assignments*--Note changes!!

Solutions to odd numbered problems.

Gauss Elimination

Inverses of two by two matrices

Matrix inversion

Vector spaces

Linear Subspaces

Linear dependence, bases, and dimension

Bases and dimension

Rank of a matrix

Coordinates

Linear Transformations

Inner product spaces

The Cauchy Schwartz inequality

Orthogonal projection

Least squares---the heart rate example

The heart rate example again, with orthogonal inputs

Orthogonal projection and Gram-Schmidt

Determinants and "Down with Determinants!"

Eigenvectors and eigenvalues

A vector field plot showing eigenspaces

Diagonalization of matrices

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

A walk in another park

Classification of phase trajectories

Boundary value problems--updated

Fourier Series--overview

Fourier series expansion of square wave

Quicktime movie of heat diffusion

Quicktime movie of heat diffusion---right end insulated