Mentor: Avy Soffer, Department of Mathematics,
soffer@math.rutgers.edu
Co-mentor:
Chris Stucchio, graduate student
Mentor: Christopher Woodward, Department of Mathematics, ctw@math.rutgers.edu
Mentor: Robert Wilson, Department of Mathematics, rwilson@math.rutgers.edu
The quadratic equation X2 + AX + B = 0, where the coefficients A,B and the unknown X are all 2 by 2 matrices over the complex numbers, has some surprising properties. For example, it is possible to choose matrices A and B so that this equation has exactly 0, 1, 2, 3, 4, 5, or 6 solutions, but if there are more than 6 solutions there must be infinitely many solutions. This result is described at http://www.math.rutgers.edu/~rwilson/polynomial_equations.pdf
It would be interesting to know the corresponding result for an equation of degree m where the coefficients and unknowns are n by n matrices over the complex numbers. A procedure for describing all solutions of such an equation is known and it is known that it is possible to choose coefficients so that the number of solutions is exactly equal to the binomial coefficient "mn choose n". It may well be that any number of solutions between 0 and "mn choose n" is possible but that no larger finite number of solutions is possible, but this has not been proved. The proposed project is to find all possible numbers of solutions for some collection of values of m and n. (It would be nice to do this for all m and n, but that might be too hard. One would probably start with the case of a cubic equation in 2 by 2 matrices, and then proceed to other cases if possible.) This problem can be investigated using standard tools of linear algebra (in particular, rational canonical form).
Mentor: Stanley Dunn, Department of Biomedical Engineering, smd@occlusal.rutgers.edu
RNA interference (RNAi) is a process by which gene expression is suppressed. Since RNAi is a powerful tool for determining gene function and preventing disease, much work has been done to understand the important role that short interfering RNA (siRNA) plays in RNAi. Characteristic sequence, thermodynamic, and structural properties of functional siRNAs have been identified by researchers. We have considered the Eulerian Graph Model of siRNA, introduced by Pancoska et al, in hopes that it would provide valuable insight into the level of functionality of a potential siRNA sequence. Using this graph structure, we have identified siRNA properties, captured in the graphs, that discriminate functional and non-functional siRNAs. The aim of this project is to consider the problems of existence and uniqueness of the Eulerian graphs for functional siRNA sequences.
Mentor: Mario Szegedy, Department of Computer Science, szegedy@cs.rutgers.edu
Mentors: Simon Thomas,
Department of Mathematics,
sthomas@math.rutgers.edu
and János Komlós,
Department of Mathematics,
komlos@math.rutgers.edu
Co-mentor:
Paul Ellis, graduate student,
prellis@math.rutgers.edu