Seminars and Colloquia by Series

Wednesday, September 1, 2010 - 12:00 , Location: Skiles 114 , Doron Lubinsky , School of Mathematics - Georgia Tech , Organizer:
Orthogonal Polynomials play a key role in analysis of random matrices. We discuss universality limits in the so-called unitary case, showing how the universality limit reduces to an asymptotic involving reproducing kernels associated with orthogonal polynomials. As a consequence, we show that universality holds in measure for any compactly supported measure.
Tuesday, April 27, 2010 - 12:00 , Location: Skiles 255 , Igor Belegradek , Professor, School of Mathematics , Organizer:

Hosted by: Huy Huynh and Yao Li

A starting point of geometric group theory is thinking of a group as a geometric object, by giving it a metric induced from the Cayley graph of the group. Gromov initiated a program of studying groups up to quasi-isometries, which are ``bilipschitz maps up to bounded additive error". Quasi-isometries ignore local structure and preserve asymptotic properties of a metric space. In the talk I will give a sample of results, examples, and open questions in this area.
Tuesday, April 20, 2010 - 12:00 , Location: Skiles 255 , Douglas Ulmer , Professor and Chair, School of Mathematics , Organizer:

Hosted by: Huy Huynh and Yao Li

Elliptic curves are solution sets of cubic polynomials in two variables.  I'll explain a bit of where they came from (computing the arc length of an ellipse, hence the name), their remarkable group structure, and some of the many roles they play in mathematics and applications, from mechanics to algebraic geometry  to cryptography.
Tuesday, April 13, 2010 - 12:00 , Location: Skiles 255 , Jeff Geronimo , Professor, School of Mathematics , Organizer:

Hosted by: Huy Huynh and Yao Li

A useful parametrization of the one variable trigonometric moment problem is given in terms of polynomials orthogonal on the unit circle. A description of this parameterization will be given as well as some of its uses. We will then describe a possible two variable extension.
Tuesday, April 6, 2010 - 12:00 , Location: Skiles 255 , Anton Leykin , School of Math, Georgia Tech , Organizer:

Hosted by: Huy Huynh and Yao Li

One of the basic problems arising in many pure and applied areas of mathematics is to solve a system of polynomial equations. Numerical Algebraic Geometry starts with addressing this fundamental problem and develops machinery to describe higher-dimensional solution sets (varieties) with approximate data. I will introduce numerical polynomial homotopy continuation, a technique that is radically different from the classical symbolic approaches as it is powered by (inexact) numerical methods.
Tuesday, March 30, 2010 - 12:00 , Location: Skiles 255 , Huy and Yao , School of Math , Organizer:

Hosted by: Huy and Yao

Research Horizons features Lunch Fun Break! The purpose is to create an opportunity for all graduate students, new and experienced, domestic and international, to meet, eat and have fun.AGENDA: ***"Suggestion box" for graduate students will be displayed in Faculty Lounge Skiles 236.***  Propective students' visit on Friday, April 2. *** Game: "Can you comunicate in silience?" *** PIZZAs, soft DRINKs, relax and have fun. *** 
Tuesday, March 16, 2010 - 12:00 , Location: Skiles 255 , Luca Dieci , Professor and Graduate Coordinator, School of Mathematics , Organizer:

Hosted by: Huy Huynh and Yao Li

We will have a chance to spend some time together to discuss issues of relevance to the Graduate Program.  Sort of like a "Town Hall Meeting" of the graduate students and the graduate coordinator. There are some things that I need to communicate to all of you, but the format is otherwise unstructured, and I am seeking suggestions on things which you would like to see addressed.  So, please send me comments on things which you would like to see discussed and I will do my best to get ready for them. Thanks, Luca Dieci.
Tuesday, March 9, 2010 - 12:00 , Location: Skiles 255 , Heinrich Matzinger , Professor, School of Mathematics , Organizer:

Hosted by: Huy Huynh and Yao Li

The Scenery Reconstruction Problem consists in trying to reconstruct a coloring of the integers given only the observations made by a random walk. For this we consider a random walk S and a coloring of the  integers X. At time $t$ we observe the color $X(S(t))$. The coloring is i.i.d. and we show that given only the sequence of colors $$X(S(0)),X(S(1)),X(S(2)),...$$ it is possible to reconstruct $X$ up to translation and reflection. The solution depends on the property of the random walk and the distribution of the coloring. Longest Common Subsequences (LCS) are widely used in genetics. If we consider two sequences X and Y, then a common subsequence of X and Y is a string which is a subsequence of X and of Y at the same time. A Longest Common Subsequence of X and Y is a common subsequence of X and Y of maximum length. The problem of the asymptotic order of the flucutation for the LCS of independent random strings has been open for decades. We have now been able to make progress on this problem for several important cases. We will also show the connection to the Scenery Reconstruction Problem.
Tuesday, March 2, 2010 - 12:00 , Location: Skiles 255 , Michael Lacey , School of Math, Georgia Tech , Organizer:

Hosted by: Huy Huynh and Yao Li

The Hilbert transform is a foundational transform, with deep connections to electrical charge, and  analyticity.  The `two weight inequality for the Hilbert transform' concerns the most general setting in which the Hilbert transform admits a (weighted) L^2 inequality.  We will give a couple of (surprising?) ways that this question arises.  And we will indicate the surprise that is behind the recent description of all setting in which the two weight inequality holds. 
Tuesday, February 23, 2010 - 12:00 , Location: Skiles 255 , Prasad Tetali , Professor, School of Mathematics and School of Computer Science , Organizer:

Hosted by: Huy Huynh and Yao Li

Sampling from and approximately counting the size of a large set of combinatorial structures has contributed to a renaissance in research in finite Markov chains in the last two decades. Applications are wide-ranging from sophisticated card shuffles, deciphering simple substitution ciphers (of prison inmates in the California state prison), estimating the volume of a high-dimensional convex body, and to understanding the speed of Gibbs sampling heuristics in statistical physics. More recent applications include rigorous estimates on J.M. Pollard's (1979) classical Rho and Kangaroo algorithms  for the discrete logarithm problem in finite cyclic groups. The lecture will be a brief (mostly self-contained) introduction to the  Markov Chain Monte Carlo (MCMC) methodology and applications, and will include some open problems.

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