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Friday, October 7, 2016 - 15:05 ,
Location: Skiles 170 ,
Livia Corsi ,
Georgia Tech ,
Organizer:

The aim of this talk is to
give a general overview of KAM theory, starting from its early stages
untill the modern era, including infinite dimensional cases. I'll try to
present the main ideas with as little technicalities as possible, and
if I have time I'll
also discuss some open problems in the field.

Thursday, April 14, 2016 - 15:05 ,
Location: Skiles 170 ,
Jiayin Jin ,
Georgia Tech ,
Organizer: Lei Zhang

In this talk, I will state the main results of center manifold theory for finite dimensional systems and give some simple examples to illustrate their applications. This is based on the book “Applications of Center Manifold Theory” by J. Carr.

Friday, April 1, 2016 - 13:05 ,
Location: Skiles 170 ,
Longmei Shu ,
Georgia Tech ,
Organizer: Lei Zhang

Isospectral Reduction reduces a higher dimension matrix to a lower dimension one while preserving the eigenvalues. This goal is achieved by allowing rational functions of lambda to be the entries of the reduced matrix. It has been shown that isospectral reduction also preserves the eigenvectors. Here we will discuss the conditions under which the generalized eigenvectors also get preserved. We will discuss some sufficient conditions and the reconstruction of the original network.

Friday, March 18, 2016 - 13:05 ,
Location: Skiles 170 ,
Hongyu Cheng ,
Georgia Tech ,
Organizer: Lei Zhang

We present some basic results from the theory of stochastic processes and investigate the properties of some standard continuous-time stochastic processes. Firstly, we give the deﬁnition of a stochastic process. Secondly, we introduce Brownian motion and study some of its properties. Thirdly, we give some classical examples of stochastic processes in continuous time and at last prove some famous theorems.

Friday, March 11, 2016 - 13:05 ,
Location: Skiles 170 ,
Hongyu Cheng ,
Georgia Tech ,
Organizer: Lei Zhang
We present some basic results from the theory of stochastic processes and investigate the properties of some standard continuous-time stochastic processes. Firstly, we give the deﬁnition of a stochastic process. Secondly, we introduce Brownian motion and study some of its properties. Thirdly, we give some classical examples of stochastic processes in continuous time and at last prove some famous theorems.

Friday, March 4, 2016 - 13:05 ,
Location: Skiles 170 ,
Jiayin Jin ,
Georgia Tech ,
Organizer: Lei Zhang
In this talk, I will state the main results of center manifold theory for finite dimensional systems and give some simple examples to illustrate their applications. This is based on the book “Applications of Center Manifold Theory” by J. Carr.

Friday, February 26, 2016 - 13:05 ,
Location: Skiles 170 ,
Hongyu Cheng ,
Georgia Tech ,
Organizer: Lei Zhang
We present some basic results from the theory of stochastic processes and investigate the properties of some standard continuous-time stochastic processes. Firstly, we give the deﬁnition of a stochastic process. Secondly, we introduce Brownian motion and study some of its properties. Thirdly, we give some classical examples of stochastic processes in continuous time and at last prove some famous theorems.

Friday, February 19, 2016 - 13:00 ,
Location: Skiles 170 ,
Lei Zhang ,
Georgia Inst. of Technology ,
Organizer: Rafael de la Llave

The Peierls barrier is an observable which characterizes whether the
the set minimizers with a prescribed frequency of a periodic
variational problem form a continuum or have gaps. In solid state
physics Peierls barrier characterizes whether ground states with a
fixed density are pinned or are able to slide. The Peierls barrier
is a microscopic explanation of static friction. Remarkably, in
dynamical systems, Peierls barrier appears also as characterizing
whether KAM circles break down into Cantor sets. Hence, the Peierls
barrier has been investigated both by physicists and by mathematicians
using a variety of methods. We plan to cover the basic definitions of
the variational models and some of the basic results obtainedfrom the
80's. Continuation of last week's seminar

Friday, February 12, 2016 - 13:00 ,
Location: Skiles 170 ,
Lei Zhang ,
Georgia Tech ,
Organizer: Rafael de la Llave

The Peierls barrier is an observable which characterizes whether the the set minimizers with a prescribed frequency of a periodic variational problem form a continuum or have gaps. In solid state physics Peierls barrier characterizes whether ground states with a fixed density are pinned or are able to slide. The Peierls barrier is a microscopic explanation of static friction. Remarkably, in dynamical systems, Peierls barrier appears also as characterizing whether KAM circles break down into Cantor sets. Hence, the Peierls barrier has been investigated both by physicists and by mathematicians using a variety of methods. We plan to cover the basic definitions of the variational models and some of the basic results obtainedfrom the 80's.

Tuesday, November 17, 2015 - 17:00 ,
Location: Skiles 005 ,
Mikel Viana ,
Georgia Tech (Math) ,
Organizer:

In previous talks, we discussed an algorithm (Nash-Moser iteration) to compute invariant whiskered tori for fibered holomorphic maps. Several geometric and number-theoretic conditions are necessary to carry out each step of the iteration. Recently, there has been interest in studying what happens if some of the conditions are removed. In particular, the second Melnikov condition we found can be hard to verify in higher dimensional problems. In this talk, we will use a method due to Eliasson, Moser and Poschel to obtain quasi-periodic solutions which, however, lose an important geometric property relative to the solutions previously constructed.