Seminars and Colloquia by Series

Two combinatorial applications of smooth numbers

Series
Combinatorics Seminar
Time
Tuesday, February 3, 2015 - 12:00 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Nathan McNewDartmouth College
We look at two combinatorial problems which can be solvedusing careful estimates for the distribution of smooth numbers. Thefirst is the Ramsey-theoretic problem to determine the maximal size ofa subset of of integers containing no 3-term geometric progressions.This problem was first considered by Rankin, who constructed such asubset with density about 0.719. By considering progressions among thesmooth numbers, we demonstrate a method to effectively compute thegreatest possible upper density of a geometric-progression-free set.Second, we consider the problem of determining which prime numberoccurs most frequently as the largest prime divisor on the interval[2,x], as well as the set prime numbers which ever have this propertyfor some value of x, a problem closely related to the analysis offactoring algorithms.

Inversion, design of experiments, and optimal control in systems gov- erned by PDEs with random parameter functions

Series
Job Candidate Talk
Time
Tuesday, February 3, 2015 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Alen AlexanderianUniversity of Texas at Austin
Mathematical models of physical phenomena often include parameters that are hard or impossible to measure directly or are subject to variability, and are thus considered uncertain. Different aspects of modeling under uncertainty include forward uncertainty propagation, statistical inver- sion of uncertain parameters, optimal design of experiments, and optimization under uncertainty. I will focus on recent advances in numerical methods for infinite-dimensional Bayesian inverse problems and optimal experimental de- sign. I will also discuss the problem of risk-averse optimization under uncertainty with applications to control of PDEs with uncertain parameters. The driving applications are systems governed by PDEs with uncertain parameter fields, such as ow in the subsurface with an uncertain permeability field, or the diffusive transport of a contaminant with an uncertain initial condition. Such problems are computationally challenging due to expensive forward PDE solves and infinite-dimensional (high-dimensional when discretized) parameter spaces.

Model structures for coalgebras

Series
Geometry Topology Seminar
Time
Monday, February 2, 2015 - 14:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Joseph HirshMIT
Classically, there are two model category structures on coalgebras in the category of chain complexes over a field. In one, the weak equivalences are maps which induce an isomorphism on homology. In the other, the weak equivalences are maps which induce a weak equivalence of algebras under the cobar functor. We unify these two approaches, realizing them as the two extremes of a partially ordered set of model category structures on coalgebras over a cooperad satisfying mild conditions.

Stability of Matter III

Series
PDE Working Seminar
Time
Friday, January 30, 2015 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 202
Speaker
Michael LossSchool of Mathematics, Georgia Tech
In this lecture I will outline an estimate on the indirect term of the Coulomb energy and finish the proof of Stability of Matter by showing that atoms in Thomas Fermi Theory do not bind.

Do Pancreatic Alpha Cells Control their Own Secretion or Follow the Orders of Other Cells?

Series
Job Candidate Talk
Time
Thursday, January 29, 2015 - 11:05 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Magaret WattsNIH
Diabetes is a disease of poor glucose control. Glucose is controlled by two hormones that work in opposite directions: insulin and glucagon. Pancreatic beta-cells release insulin when blood glucose is high, while pancreatic alpha-cells secrete glucagon when blood glucose is low. Both insulin and glucagon secretion are disregulated in people with diabetes. In these people, not enough insulin is secreted in response to elevated glucose levels, while the problem with glucagon secretion is two-fold: too much glucagon is secreted at high glucose levels, while not enough is secreted at low glucose levels. So far, the treatment of diabetes has focused solely on increasing insulin secretion from beta-cells. Therefore, understanding glucose regulated glucagon secretion may lead to new therapies for those with diabetes.There is an ongoing debate as to whether glucose suppresses glucagon secretion directly through an intrinsic mechanism, within the alpha-cell, or indirectly through an extrinsic mechanism. I developed a mathematical model of glucagon secretion in alpha-cells and use it to show that they can control their own secretion. However, experimental evidence shows that factors secreted by pancreatic beta- and delta- cells can also affect glucagon secretion. Therefore, I created the BAD model for pancreatic islets which contains one representative cell of each type and the cellular interactions between them. I use this model to show that these paracrine effects suppress alpha-cell heterogeneity and suggest that delta-cells play a more important role in this than beta-cells.

An elementary introduction to the multiscale method of averaging

Series
Research Horizons Seminar
Time
Wednesday, January 28, 2015 - 12:15 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Dr. Molei TaoGeorgia Tech Math Department

Please Note: Please note the delayed start for this week only.

The main focus of this talk is a class of asymptotic methods called averaging. These methods approximate complicated differential equations that contain multiple scales by much simpler equations. Such approximations oftentimes facilitate both analysis and computation. The discussion will be motivated by simple examples such as bridge and swing, and it will remain intuitive rather than fully rigorous. If time permits, I will also mention some related projects of mine, possibly including circuits, molecules, and planets.

Quasilinear Schrödinger equations

Series
PDE Seminar
Time
Tuesday, January 27, 2015 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Jeremy MarzuolaUniversity of North Carolina at Chapel Hill
We survey some recent results by the speaker, Jason Metcalfe and Daniel Tataru for small data local well-posedness of quasilinear Schrödinger equations. In addition, we will discuss some applications recently explored with Jianfeng Lu and recent progress towards the large data short time problem. Along the way, we will attempt to motivate analysis of the problem with connections to problems from Density Functional Theory.

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