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Series: Dissertation Defense

Kinetic theory is the branch of mathematical physics that studies the motion of gas particles that undergo collisions. A central theme is the
study of systems out of equilibrium and approach of equilibrium, especially in the context of Boltzmann's equation. In this talk I will present Mark Kac's stochastic N-particle model, briefly show its connection to Boltzmann's equation, and present known and new results about the rate of approach to equilibrium, and about a finite-reservoir realization of an ideal thermostat.

Series: PDE Seminar

The Cucker-Smale system is a popular model of collective behavior of interacting agents, used, in particular, to model bird flocking and fish swarming. The underlying premise is the tendency for a local alignment of the bird (or fish, or ...) velocities. The Euler-Cucker-Smale system is an effective macroscopic PDE limit of such particle systems. It has the form of the pressureless Euler equations with a non-linear density-dependent alignment term. The alignment term is a non-linear version of the fractional Laplacian to a power alpha in (0,1). It is known that the corresponding Burgers' equation with a linear dissipation of this type develops shocks in a finite time. We show that nonlinearity enhances the dissipation, and the solutions stay globally regular for all alpha in (0,1): the dynamics is regularized due to the nonlinear nature of the alignment. This is a joint work with T. Do, A.Kiselev and C. Tan.

Series: Algebra Seminar

I will discuss the interplay between tangent lines of algebraic and tropical curves. By tropicalizing all the tangent lines
of a plane curve, we obtain the tropical dual curve, and a recipe
for computing the Newton polygon of the dual projective curve.
In the case of canonical curves, tangent lines are closely related
with various phenomena in algebraic geometry such as double covers, theta characteristics and Prym varieties. When degenerating
them in families, we discover analogous constructions in tropical
geometry, and links between quadratic forms, covers of graphs and
tropical bitangents.

Series: Geometry Topology Seminar

Alexandru Oancea:
Title: Symplectic homology for cobordisms
Abstract: Symplectic homology for a Liouville cobordism - possibly filled
at the negative end - generalizes simultaneously the symplectic homology of
Liouville domains and the Rabinowitz-Floer homology of their boundaries. I
will explain its definition, some of its properties, and give a sample
application which shows how it can be used in order to obstruct cobordisms
between contact manifolds. Based on joint work with Kai Cieliebak and Peter
Albers.
Basak Gürel:
Title: From Lusternik-Schnirelmann theory to Conley conjecture
Abstract: In this talk I will discuss a recent result showing that whenever
a closed symplectic manifold admits a Hamiltonian diffeomorphism with
finitely many simple periodic orbits, the manifold has a spherical homology
class of degree two with positive symplectic area and positive integral of
the first Chern class. This theorem encompasses all known cases of the
Conley conjecture (symplectic CY and negative monotone manifolds) and also
some new ones (e.g., weakly exact symplectic manifolds with non-vanishing
first Chern class). The proof hinges on a general Lusternik–Schnirelmann
type result that, under some natural additional conditions, the sequence of
mean spectral invariants for the iterations of a Hamiltonian diffeomorphism
never stabilizes. Based on joint work with Viktor Ginzburg.

Monday, April 24, 2017 - 14:05 ,
Location: Skiles 005 ,
Prof. George Mohler ,
IUPUI Computer Science ,
Organizer: Martin Short

In this talk we focus on classification problems where noisy sensor
measurements collected over a time window must be classified into one or
more categories. For example, mobile phone health and insurance apps
take as input time series from the accelerometer, gyroscope and GPS
radio of the phone and output predictions as to whether the user is
still, walking, running, biking, driving etc. Standard approaches to
this problem consist of first engineering features from statistics of
the data (or a transform) over a window and then training a
discriminative classifier. For two applications we show how these
features can instead be learned in an end-to-end modeling framework with
the advantages of increased accuracy and decreased modeling and
training time. The first application is reconstructing unobserved neural connections from Calcium fluorescence time series and we introduce a novel convolutional neural network architecture
with an inverse covariance layer to solve the problem. The second
application is driving detection on mobile phones with applications to
car telematics and insurance.

Series: CDSNS Colloquium

One dimensional discrete Schrödinger operators arise naturally in modeling
the motion of quantum particles in a disordered medium. The medium is
described by potentials which may naturally be generated by certain ergodic
dynamics. We will begin with two classic models where the potentials are
periodic sequences and i.i.d. random variables (Anderson Model). Then we
will move on to quasi-periodic potentials, of which the randomness is
between periodic and i.i.d models and the phenomena may become more subtle,
e.g. a metal-insulator type of transition may occur. We will show how the
dynamical object, the Lyapunov exponent, plays a key role in the spectral
analysis of these types of operators.

Series: Combinatorics Seminar

Various parameters of many models of random rooted trees are fairly
well understood if they relate to a near-root part of the tree or to global tree
structure. In recent years there has been a growing interest in the analysis
of the random tree fringe, that is, the part of the tree that is close to the
leaves. Distance from the closest leaf can be viewed as the protection level of
a vertex, or the seniority of a vertex within a network.
In this talk we will review a few recent results of this kind for a number of
tree varieties, as well as indicate the challenges one encounters when trying
to generalize the existing results. One tree variety, that of decreasing binary
trees, will be related to permutations, another one, phylogenetic trees, is
frequent in applications in molecular biology.

Friday, April 21, 2017 - 15:00 ,
Location: Skiles 254 ,
Adrian P. Bustamante ,
Georgia Tech ,
Organizer:

A classical theorem of Arnold, Moser shows that in analytic families of
maps close to a rotation we can find maps which are smoothly conjugate
to rotations. This is one of the first examples of the KAM theory. We
aim to present an efficient numerical algorithm, and its implementation, which approximate the conjugations given by the Theorem

Series: ACO Student Seminar

Beginning with Szemerédi’s regularity lemma, the theory of graph
decomposition and graph limits has greatly increased our understanding
of large dense graphs and provided a framework for graph approximation.
Unfortunately, much of this work does not meaningfully extend to
non-dense graphs. We present preliminary work towards our goal of
creating tools for approximating graphs of intermediate degree (average
degree o(n) and not bounded). We give a new random graph model that
produces a graph of desired size and density that approximates the
number of small closed walks of a given sparse graph (i.e., small
moments of its eigenspectrum). We show how our model can be applied to
approximate the hypercube graph. This is joint work with Santosh
Vempala.

Series: Professional Development Seminar

A conversation with Adam Fox, former GT postdoc who secured his "dream job" as a tenure-track assistant professor at Western New England University, but who recently moved into industry as a Data Scientist.