Seminars and Colloquia by Series

Higher-Order Three-Term Recurrences and Asymptotics of Multiple Orthogonal Polynomials

Series
Analysis Seminar
Time
Tuesday, October 5, 2010 - 13:00 for 1 hour (actually 50 minutes)
Location
Skiles 269
Speaker
Sasha AptekarevKeldish Institute for Applied Mathematics
The asymptotic theory is developed for polynomial sequences that are generated by the three-term higher-order recurrence Q_{n+1} = zQ_n - a_{n-p+1}Q_{n-p}, p \in \mathbb{N}, n\geq p, where z is a complex variable and the coefficients a_k are positive and satisfy the perturbation condition \sum_{n=1}^\infty |a_n-a|<\infty . Our results generalize known results for p = 1, that is, for orthogonal polynomial sequences on the real line that belong to the Blumenthal-Nevai class. As is known, for p\geq 2, the role of the interval is replaced by a starlike set S of p+1 rays emanating from the origin on which the Q_n satisfy a multiple orthogonality condition involving p measures. Here we obtain strong asymptotics for the Q_n in the complex plane outside the common support of these measures as well as on the (finite) open rays of their support. In so doing, we obtain an extension of Weyl's famous theorem dealing with compact perturbations of bounded self-adjoint operators. Furthermore, we derive generalizations of the classical Szeg\"o functions, and we show that there is an underlying Nikishin system hierarchy for the orthogonality measures that is related to the Weyl functions. Our results also have application to Hermite-Pad\'e approximants as well as to vector continued fractions.

Legendrian contact homology for Seifert fibered spaces

Series
Geometry Topology Seminar
Time
Monday, October 4, 2010 - 14:00 for 1 hour (actually 50 minutes)
Location
Skiles 269
Speaker
Joan LicataStanford University
In this talk, I'll focus on Seifert fibered spaces whose fiber structure is realized by the Reeb orbits of an appropriate contact form. I'll describe a rigorous combinatorial formulation of Legendrian contact homology for Legendrian knots in these manifolds. This work is joint with J. Sabloff.

Feature Based Fusion of Multimodal Data for Object Classification

Series
Applied and Computational Mathematics Seminar
Time
Monday, October 4, 2010 - 13:00 for 1 hour (actually 50 minutes)
Location
Skiles 002
Speaker
Michael BurkhartGatech, Math
The over-abundance of remotely sensed data has resulted inthe realization that we do not have nor could ever acquire asufficient number of highly trained image analysts to parse theavailable data.  Automated techniques are needed to perform low levelfunctions, identifying scenarios of importance from the availabledata, so that analysts may be reserved for higher level interpretativeroles. Data fusion has been an important topic in intelligence sincethe mid-1980s and continues to be a necessary concept in thedevelopment of these automated low-level functions. We propose anapproach to multimodal data fusion to combine images of varyingspatial and spectral resolutions with digital elevation models.Furthermore, our objective is to perform this fusion at the imagefeature level, specifically utilizing Gabor filters because of theirresemblance to the human visual system.

The effects of small noise random perturbation for some problems without unique solutions.

Series
Probability Working Seminar
Time
Friday, October 1, 2010 - 15:05 for 1.5 hours (actually 80 minutes)
Location
Skiles 249
Speaker
Sergio AlmadaSchool of Math, Georgia Tech
We consider the small noise perturbation (in the Ito sense) of a one dimensional ODE. We study the case in which the ODE has not unique solution, but the SDE does. A particular setting of this sort is studied and the properties of the solution are obtained when the noise level vanishes. We relate this to give an example of a 1-dimensional transport equation without uniqueness of weak solution. We show how by a suitable random noise perturbation, the stochastic equation is well posed and study what the limit is when the noise level tends to zero.

Heegaard-Floer Theory by examples

Series
Geometry Topology Working Seminar
Time
Friday, October 1, 2010 - 14:00 for 2 hours
Location
Skiles 171
Speaker
John Etnyre and/or Amey KalotiGa Tech
In this talk we will give an introduction of Heegaard-Floer theory through examples. By exploring several explicit examples we hope to show that various aspects of the definitions that seem complicated, really aren't too bad and it really is possible to work with these fairly abstract things. While this is technically a continuation of last weeks talk, we will review enough material so that this talk should be self contained.

A Stochastic Differential game for the inhomogeneous infinity-Laplace equation

Series
Stochastics Seminar
Time
Thursday, September 30, 2010 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 002
Speaker
Amarjit BudhirajaUniversity of North Carolina at Chapel Hill
A two-player zero-sum stochastic differential game, defined in terms of an m-dimensional state process that is driven by a one-dimensional Brownian motion, played until the state exits the domain, is studied.The players controls enter in a diffusion coefficient and in an unbounded drift coefficient of the state process. We show that the game has value, and characterize the value function as the unique viscosity solution of an inhomogeneous infinity Laplace equation.Joint work with R. Atar.

Introduction to infinite matroids

Series
Graph Theory Seminar
Time
Thursday, September 30, 2010 - 12:05 for 1 hour (actually 50 minutes)
Location
Skiles 114
Speaker
Luke PostleMath, GT
Rota asked in the 1960's how one might construct an axiom system for infinite matroids. Among the many suggested answers were the B-matroids of Higgs. In 1978, Oxley proved that any infinite matroid system with the notions of duality and minors must be equivalent to B-matroids. He also provided a simpler mixed basis-independence axiom system for B-matroids, as opposed to the complicated closure system developed by Higgs. In this talk, we examine a recent paper of Bruhn et al that gives independence, basis, circuit, rank, and closure axiom systems for B-matroids. We will also discuss some open problems for infinite matroids.

Analysis in constructions of low discrepancy sets

Series
Analysis Seminar
Time
Wednesday, September 29, 2010 - 16:30 for 1 hour (actually 50 minutes)
Location
Skiles 269
Speaker
Dmitriy BilykUniversity of South Carolina
Low discrepancy point distributions play an important role in many applications that require numerical integration. The methods of harmonic analysis are often used to produce new or de-randomize known probabilistic constructions. We discuss some recent results in this direction.

Applications of diffusion models to sequential decision making

Series
Research Horizons Seminar
Time
Wednesday, September 29, 2010 - 12:00 for 1 hour (actually 50 minutes)
Location
Skiles 171
Speaker
Yuri BakhtinSchool of Mathematics - Georgia Institute of Technology

Please Note: Hosts: Yao Li and Ricardo Restrepo

I will consider mathematical models of decision making based on dynamics in the neighborhood of unstable equilibria and involving random perturbations due to small noise. I will report results on the vanishing noise limit for these systems, providing precise predictions about the statistics of decision making times and sequences of unstable equilibria visited by the process. Mathematically, the results are based on the analysis of random Poincare maps in the neighborhood of each equilibrium point. I will discuss applications to neuroscience and psychology along with some experimental data.

Network Models for Infectious Disease Dynamics

Series
Mathematical Biology Seminar
Time
Wednesday, September 29, 2010 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 169
Speaker
Shweta BansalCenter for Infectious Disease Dynamics, Penn State
Many infectious agents spread via close contact between infected and susceptible individuals. The nature and structure of interactions among individuals is thus of fundamental importance to the spread of infectious disease. Heterogeneities among host interactions can be modeled with contact networks, and analyzed using tools of percolation theory. Thus far, the field of contact network epidemiology has largely been focused on the impact of network structure on the progression of disease epidemics. In this talk, we introduce network models which incorporate feedback of the disease spread on network structure, and explore how this feedback limits the potential for future outbreaks. This has implications for seasonal diseases such as influenza, and supports the need for more adaptive public health policies in response to disease dynamics.

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