Week 0
Organizational Stuff

APMA 900 - Advanced Mathematical Methods



Beyond Separation of Variables: Exact & Approximate Techniques for Solving PDEs

The simplest approach to solving PDEs (partial differential equations) is the method of separation of variables. The course discussion will begin from a natural extension of separation that leads to integral solution techniques, which includes the Fourier and Laplace transforms. Investigation of this solution perspective will establish the close connection between complex variable theory and differential equations. Another class of exact integral techniques are based upon the convolution or Greens function methodology. These integral-based approaches also offer an elementary entry into the realm of special functions.

In many cases, the understanding and interpretation of exact solutions requires numerical computation and/or further approximation. The study of asymptotic and perturbation methods provides a systematic framework for the approximate analysis of PDE solutions. Here, the presentation will begin from the far-field approximation of integral solutions, and continue onto developments in multiple-scale, averaging and boundary-layer methods.

Lectures will be based upon a case-study approach of PDE examples. Computational illustration will be an important tool for the lectures and assigned work. The rudiments of numerical computing will be developed through the use and modification of downloadable Matlab scripts.

05 September
syllabus (syllabus.pdf)
40 page matlab primer (279K pdf)
download adobe (reader)

05 September
assignment #0 (55K pdf)
guide for reports (35K pdf)
plotting script (wilk.m)
polynomial function (wpoly.m)
webpage template (here)

organizational meeting:
Wednesday 05 September, 3:30pm
Room AQ 5015

The purpose of this meeting will be to discuss the interests of the class members, explain the computing environments, and answer general questions about the course. Registered students who miss this meeting should arrange an alternative meeting with the instructor ASAP.

Pre-Course PR Image:

The image above shows the streamlines and wind vectors for a surface dipole from a model of atmospheric flow. The dipole is obtained as a solution to a three-dimensional Laplace PDE with mixed boundary conditions. Its computation involves a numerical implementation of an integral Hankel transform -- an example of applied special function theory.