The theory of soliton equations has been an active research area for the past forty-five years, with applications to algebra, geometry, mathematical physics, and applied mathematics. In this talk, I will explain how many of these equations arise as geometric evolution equations for curves and as the governing equations for surfaces in 3-space. In particular, I will use Quicktime movies and pictures produced in Palais' 3D-XplorMath mathematical visualization program to demonstrate properties of soliton equations and their associated geometric objects.
This Friday will be mandatory only for graduate students who have been a TA for strictly less than two quarters. (ie. If you were a TA for two quarters or more last year or over the summer, you do not have to come this week!) This week we will be discussing several first week of class issues including: WebWorks, the Tutoring Center, and Dealing with Difficult Classroom Situations.
Zeta functions are central topics in number theory and arithmetic algebraic geometry. They arise in many different forms. They can be viewed as generating functions for counting "points"
(or "solutions") of polynomial equations, thus contain deep arithmetic and geometric information of the equations. In this lecture, we will explain various zeta functions from this point of view, including the Riemann zeta function, the Hasse-Weil zeta function, and zeta
functions over finite fields.
In this talk I will introduce some basic ideas from probability theory
such as random walk, Markov chain and Brownian motion. Then I will
discuss how they play a role in analyzing some "real world" models of
physical phenomena such as polymer behavior, spread of pollutants and
solar magnetic fields.
Genetic instability is a major cause for abnormal cell
replication and carcinogenesis. But the mutant cells that replicate abnormally are also weaker and die at a more rapid rate. Hence, genetic instability is a two-edge sword in inducing cancer. The determination of the best time varying cell mutation rate for the fastest time to cancer can be formulated as a nonlinear optimal control problem. As generally the case for nonlinear optimal control problems, there is no general sure fire method for the solution of our problem. The talk will show how the unique solution of the problem can be obtained by ad hoc elementary analyses of the relevant boundary value problem for a systems of nonlinear differential equations. The
method of solution illustrates how important problems in application can be solved by elementary use of classical analysis.
We consider the the problem of approximating a given object x (say, a function) by a sequence (x_n), whose terms belong to the prescribed family of sets (A_n)$ (for instance, A_n may be
the space of polynomials of degree less than n). For each n, compute the distance E_n from x to A_n. How does the sequence (E_n) behave? What are the connections between its rate of
decrease and the properties of x? Can we discern any patterns in the sequence (E_n)? We attempt to answer these questions for different families (A_n).
Nonlinear Diffusions exhibit a variety of interesting and
sometimes unexpected behaviors. I shall
give a brief overview of this broad research area and emphasize some
applications.
Nonlinear Diffusions exhibit a variety of interesting and
sometimes unexpected behaviors. I shall
give a brief overview of this broad research area and emphasize some
applications.
In the numerical simulation of many practical problems in physics and
engineering, it is always an active research topic to efficiently and effectively
solve a set of partial differential equations (PDEs), which represents the
mathematical model of practical problems concerned. This talk is on the study of
advanced numerical methods for partial differential equations that arise from
scientific and engineering applications. The theme of research is on the
development, application and analysis of multilevel adaptive finite element methods.