Piecewise Translations

Speaker: 

Anton Gorodetski

Institution: 

UC Irvine

Time: 

Tuesday, February 1, 2011 - 3:00pm

Location: 

RH 440R

We will review the recent (and not so recent) results on dynamics of piecewise isometries (especially piecewise translations), both in one and in higher dimensional case. Some interesting results (by Suzuki, Goetz, Zhuravlev, Boshernitzan, Bruin, Troubetzkoy, Buzzi) are known, but most of natural questions are still open. The main goal of the talk is to expose these open questions to potential researchers.

Some connections between almost periodic and periodic discrete Schrdinger operators with trigonometric potentials

Speaker: 

Mira Shamis

Institution: 

IAS

Time: 

Thursday, February 24, 2011 - 2:00pm

Location: 

RH 306

We study discrete Schr ̈odinger operators with trigonomet-
ric potentials. In particular, we are interested in the connection be-
tween the absolutely continuous spectrum in the almost periodic case
and the spectra in the periodic case. We prove a weak form of a precise
conjecture relating the two.
We also bound the measure of the spectrum in the periodic case in
terms of the Lyapunov exponent in the almost periodic case.
In the proofs, we use a partial generalization of Chambers formula.
As an additional application of this generalization, we provide a new
proof of Hermans lower bound for the Lyapunov exponent.

Extinction and percolation in the spatially inhomogeneous continuous time percolation model.

Speaker: 

Rajinder Mavi

Institution: 

UCI

Time: 

Thursday, February 17, 2011 - 2:00pm

Location: 

RH 306

We discuss the continuous time percolation model in an ergodically defined
environment. Under minimal assumptions on the ergodic system, we show the
existence of sets of sampling functions with percolation or extinction
showing that the latter are dense open. We also discuss the related
spatially inhomogeneous continuous time random cluster model and the
topological properties of sets of sampling functions corresponding to
percolation and decay.

Optimal and User-Friendly Solvers for Large Scale Discretized PDEs

Speaker: 

Professor Jinchao Xu

Institution: 

Penn State University

Time: 

Friday, February 11, 2011 - 11:00am

Location: 

McDonnell Douglas Engineering Auditorium

In scientific and engineering computing, one major computational bottleneck is the solution of large scale linear algebraic systems resulted from the discretization of various partial differential equations (PDEs). These systems are still often solved by traditional methods such as Gaussian elimination in many practical applications. Mathematically optimal methods, such as multigrid methods, have been developed for decades but they are still not much used in practice. In this talk, I will report some recent advances in the development of optimal multilevel iterative methods that can be applied to various practical problems in a user-friendly fashion. Starting from some basic ideas of designing efficient iterative methods such as multigrid and domain decomposition methods, I will give a brief description of a general framework known as the Fast Auxiliary Space Preconditioning (FASP) Methods and report some applications in various problems including Newtonian and non-Newtonian models, Maxwell equations, Magnetohydrodymics and battery and reservoir (porous media) simulations.

Cramer-Rao Bound for Estimating Non-linear Parameters in a Model for Chemical Species Separation using Magnetic Resonance Imaging

Speaker: 

Emily Bice

Institution: 

UC Irvine

Time: 

Monday, January 31, 2011 - 6:00pm

Location: 

RH 306

Magnetic resonance images typically contain signals from multiple chemical species such as water and fat. The diagnostic information in the image can be improved by separating the components of the signal coming from individual chemical species. The model that describes the signal generation includes non-linear parameters which arise from imperfections in the magnetic field and signal decay. The Cramer-Rao Bound is the minimum variance of an unbiased estimator of a parameter. In this work, we use the Cramer-Rao Bound to optimize the data acquisition for the non-linear inverse problem of estimating the magnetic field inhomogeneities and signal decay.

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