Project Title: Robustness to
stochastic noise of certain Boolean networks
Adviser: Dora Matache
Description: Random
Boolean Networks are networks of nodes that can be in one of two possible states
ON or OFF, and whose evolution from one time point to another is governed by
given Boolean rules. Each node’s evolution is influenced by the state of other
nodes called its parents. If all the nodes are updated at the same time then
the network is called synchronous, otherwise it is called asynchronous. Recent
research has focused on the study of sensitivity of Boolean functions to certain
types of noise procedures. The goal of this project is to extend those results
to the study of robustness of Boolean networks to similar types of noise
procedures.
The student will perform the following tasks:
A.
Become familiar with and write a brief description of relevant concepts of noisy
Boolean networks, based on several references such as:
Matache M.T., Matache V., On the
Sensitivity to Noise of a Boolean Function. To appear in
Journal of Mathematical Physics 2009.
Beck G., Matache
M.T.,
Dynamical Behavior and Influence of Stochastic Noise on Certain Generalized
Boolean Networks. Physica A: Statistical Mechanics
and its Applications, Volume 387, Issues 19-20, August 2008, Pages 4947-4958,
Alligood
K.T., Sauer T.D., Yorke J.A., Chaos: and introduction to dynamical systems, Springer-Verlag, 1996. (short topics from
the book)
This will help the student become
familiar with the topic and will serve as an introductory section of the final
research report.
B.
Get familiar with the Matlab software in order to be
able to write and run several programs related to the study of the dynamics of
the noisy Boolean networks.
C. Actual study of the dynamics of noisy Boolean
networks governed by certain generalized totalistic rules of elementary
cellular automata. The student will work with the adviser to develop a
mathematical model and to determine a selection of Boolean networks/functions
and noise rules for simulation purposes. Bifurcation diagrams, analysis of the
sensitivity of the orbits to initial values, Lyapunov
exponent calculations, and other graphical tools will be employed as necessary.
The findings of this study will become the core of the research report.
D.
Create a final research report to be presented at the MAM Symposium.
OTHER REQUIREMENTS: The students interested in the project above are expected to have
mathematical maturity, a good understanding of basic probability properties and
basic computer skills. They should become familiar with Matlab
and
NOTE: The results
of this research will represent the core of a research paper that later will be
sent for publication to a suitable journal.