Undergraduate research project
Simulating Self Avoiding Random Walks
Tom Kennedy
Email: tgk@math.arizona.edu
Office: Math 607
Phone: 621-6696
To construct a random walk, each time you take a step
you randomly choose one of the four directions north, east,
south or west. In a self-avoiding random walk you are not
allowed to visit the same place more than once. While
very little has been proved about these walks, they can be
simulated rather easily on a computer, and so can be studied
numerically. Here are a couple of pictures of
computer generated self avoiding walks
If you run an ordinary random walk for a long time and then
look at it from far away, it looks like a stochastic process
called Brownian motion. Now suppose you do the same thing
for self-avoiding random walks. Does it look like a
stochastic process, and if so what can you say about the process ?
The goal of the project is to study this question empirically,
i.e., by simulating lots of self-avoiding walks and seeing what we can say.
The project requires knowing some basic probability
concepts such as the distribution function of a random variable.
Familiarity with some topics from Math 468, in particular Markov chains,
would be useful, but not essential. Since the project will
consist of computer simulations, programming skill is needed.
However, programs to simulate these self-avoiding walks can be
surprising short.