University of Utah

Department of Mathematics

Math 3150-001   Partial Differential Equations for Engineers
T,  M.W.       11:50-12:40     LCB 225

Instructor:   Andrej Cherkaev
Office: JWB 225   ph: 581-6822   email:cherk@math.utah.edu
Office hours: W, 1:00 - 3:00 and by appointment

What is PDE? Partial differential equations (PDEs) describe processes in continua that depend on time instances and spatial position. PDEs are, for example, used to describe the vibration of a string or a membrane, waves, propagation of sound or heat, electrostatics, electrodynamics, fluid flow, and elasticity. PDE is a type of differential equation, i.e., a relation involving an unknown function (or functions) of several independent variables and their partial derivatives with respect to those variables.

Course objectives: M3150 is a first course in PDEs intended for students from the sciences and engineering programs. On completion of the course the student should be competent in solving basic linear PDEs using classical solution methods, that is, be able to:

Textbook:   Partial Differential Equations and Boundary Value Problems, N. Asmar, Prentice Hall 2005; Second Edition
Sections: 1.1, 1.2; 2.1 - 2.4; 3.1 - 2.9; 4.1 - 4.4; 7.1 - 7.4

Student Solutions Manual can be downloaded from the author's website:
http://www.math.missouri.edu/~nakhle/pdebvp/student-manual.pdf

Tutoring is available in T. Benny Rushing Mathematics Center

Syllabus is here

HW 1 Entry quiz

HW2. Section 1.1: Problems 1, 2, 6. Section 2.1: Problems 2, 9, 12.

Tutorial. Maple code for Fourier series expansion
> f := cos((1/2)*x); plot(f, x = -Pi .. Pi);
> a0 := (int(f, x = -Pi .. Pi))/(2*Pi);
> an := (int(f*cos(n*x), x = -Pi .. Pi))/Pi;
> bn := (int(f*sin(n*x), x = -Pi .. Pi))/Pi;
> fs := a0+sum(an*cos(n*x)+bn*sin(n*x), n = 1 .. 5);
> plot({f, fs}, x = -Pi .. 1.4*Pi);
> plot({f-fs}, x = -Pi .. Pi);