Abstract: I intend to give an overview of various cyclic homology theories which allow one to recover the topological (or crystalline) cohomology of a variety from the ring of functions on it (or the category of vector bundles). The talk should be accessible to graduate students with basic background in topology.
This talk will describe the simulation, design and optimization of a qubit
for use in quantum communication or quantum computation. The qubit is
realized as the spin of a single trapped electron in a semi-conductor
quantum dot. The quantum dot and a quantum wire are formed by the
combination of quantum wells and gates. The design goal for this system is a
"double pinchoff", in which there is a single trapped electron in the dot
and a single (or small number of) conduction states in the wire. Because of
considerable experimental uncertainty in the system parameters, the optimal
design should be "robust", in the sense that it is far away from
unsuccessful designs. We use a Poisson-Schrodinger model for the
electrostatic potential and electron wave function and a semi-analytic
solution of this model. Through a Monte Carlo search, aided by an analysis
of singular points on the design boundary, we find successful designs and
optimize them to achieve maximal robustness.
I will present a rigorous study of the perfect Bose-gas in the
presence of a homogeneous ergodic random potential. It is
demonstrated that the Lifshitz tail behaviour of the one-particle
spectrum reduces the critical dimensionality of the (generalized)
Bose-Einstein Condensation (BEC) to $d=1$. To tackle the
Off-Diagonal Long-Range Order (ODLRO) I will introduce the
space averaged one-body reduced density matrix. For a one
dimensional Poisson-type random potential we proved that
randomness enhances the exponential decay of this matrix in domain
free of the BEC.
These general results will then be applied to the Luttinger-Sy model in
which I can explicitely compute any of the physical quantities
(pressure, density, type of condensation, ODLRO...).
In this talk I will discuss some of my recent work on Probability Theory and its applications. The topics will include the rate of dispersion of oil slicks under turbulent random flow, statistical properties of randomly growing surfaces and a model for the behavior of magnetic fields on stars.
In this talk, I will use the Korteweg-de
Vries equation, non-linear Schrodinger equation, and
the sine-Gordon equation as models to explain some
remarkable properties of a certain class of non-linear
wave equations, the so called "soliton equations".
Some relations to differential geometry will be
discussed. I will also use Richard Palais'
3D-XplorMath Visualization Computer Program to help us
"see" some of these properties.
I will give an overview of my work on some problems founds at the
interface between mathematical and life sciences. This includes
modeling of initiation and development of cancer (viewed as an
evolutionary problem), some problems in biophysics (studying the
dynamics of RNA transcription); learning theory, and the evolution of
natural languages.
Among the nicest spaces in topology and geometry are
manifolds, i.e. spaces which locally look like an open ball in R^n. If X
is such a manifold and G is a finite group acting on it, the usual
quotient X/G in general will not be a manifold anymore (if the G-action
has stabilizers). The theory of orbifolds is a different approach to
taking quotients, leading to objects which behave as if they were
manifolds, but also have some surprising properties defying our
intuition.