It is an everyday observation that the internal energy of a piece of material is extensive, i.e., proportional to the number of atoms in this material. A celebrated result of Dyson and Lenard (1967) explains this fact on the basis of quantum mechanics, the fundamental theory that is the basis for the description of the material world. The proof of Dyson and Lenard was greatly simplified by Lieb and Thirring (1975) using Thomas Fermi theory and what is now called the Lieb-Thirring inequality. In these talks I explain the notion of Stability, give an outline of the Lieb-Thirring proof and explain a proof of the Lieb-Thirring inequality with good constants. If time permits I will talk about further developments, like systems interacting with magnetic fields.
Pursuit games---motivated historically by military tactics---are
a natural for graphical settings, and take many forms. We will
present some recent results involving (among other things) drunks,
Kakeya sets and a "ketchup graph.'' Lastly, we describe what we
think is the most important open problem in the field.
Friday, January 16, 2015 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Greg Blekherman – Georgia Tech
The topic this semester will be Nonnegative and PSD Ranks of matrices. We will begin by discussing the article "Lifts of Convex Sets and Cone Factorizations" by Gouveia, Parrilo and Thomas, which makes the connection between factoring slack matrices of polytopes and finding computationally efficient representations of polytopes.
Thursday, January 15, 2015 - 13:00 for 1 hour (actually 50 minutes)
Location
Skiles006
Speaker
Adam Marcus – Yale University
Matrices are one of the most fundamental structures in
mathematics, and it is well known that the behavior of a matrix is dictated
by its eigenvalues. Eigenvalues, however, are notoriously hard to control,
due in part to the lack of techniques available. In this talk, I will
present a new technique that we call the "method of interlacing
polynomials" which has been used recently to give unprecedented bounds on
eigenvalues, and as a result, new insight into a number of old problems.
I will discuss some of these recent breakthroughs, which include the
existence of Ramanujan graphs of all degrees, a resolution to the famous
Kadison-Singer problem, and most recently an incredible result of Anari and
Gharan that has led to an interesting new anomaly in computer science.
This talk will be directed at a general mathematics audience and represents
joint work with Dan Spielman and Nikhil Srivastava.
We are going to discuss a generalization of the classical relation between Jacobi matrices and orthogonal polynomials to the case of difference operators on lattices. More precisely, the difference operators in question reflect the interaction of nearest neighbors on the lattice Z^2.
It should be stressed that the generalization is not obvious and straightforward since, unlike the classical case of Jacobi matrices, it is not clear whether the eigenvalue problem for a difference equation on Z^2 has a solution and, especially, whether the entries of an eigenvector can be chosen to be polynomials in the spectral variable.
In order to overcome the above-mentioned problem, we construct difference operators on Z^2 using multiple orthogonal polynomials. In our case, it turns out that the existence of a polynomial solution to the eigenvalue problem can be guaranteed if the coefficients of the difference operators satisfy a certain discrete zero curvature condition. In turn, this means that there
is a discrete integrable system behind the scene and the discrete integrable system can be thought of as a generalization of what is known as the discrete time Toda equation, which appeared for the first time as the Frobenius identity for the elements of the Pade table.
Tuesday, January 13, 2015 - 15:05 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Konstantina Trivisa – University of Maryland
A class of kinetic models for the collective self-organization of
agents is presented. Results on the global existence of weak solutions as
well as a hydrodynamic limit will be discussed. The main tools employed in
the analysis are the velocity averaging lemma and the relative entropy
method. This is joint work with T. Karper and A. Mellet.
Tuesday, January 13, 2015 - 12:05 for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Emma Cohen – Georgia Tech
Catalan numbers arise in many enumerative contexts as the counting sequence of combinatorial structures. We consider natural local moves on some realizations of the Catalan sequence and derive estimates of the mixing time of the corresponding Markov chains. We present a new O(n^2 log n) bound on the mixing time for the random transposition chain on Dyck paths, and raise several open problems, including the optimality of the above bound. (Joint work with Prasad Tetali and Damir Yelliusizov.)
Tuesday, January 13, 2015 - 11:00 for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Johannes Lederer – Cornell University
High-dimensional statistics is the basis for analyzing large and complex
data sets that are generated by cutting-edge technologies in genetics,
neuroscience, astronomy, and many other fields. However, Lasso, Ridge
Regression, Graphical Lasso, and other standard methods in
high-dimensional statistics depend on tuning parameters that are
difficult to calibrate in practice. In this talk, I present two novel
approaches to overcome this difficulty. My first approach is based on a
novel testing scheme that is inspired by Lepski’s idea for bandwidth
selection in non-parametric statistics. This approach provides tuning
parameter calibration for estimation and prediction with the Lasso and
other standard methods and is to date the only way to ensure high
performance, fast computations, and optimal finite sample guarantees. My
second approach is based on the minimization of an objective function
that avoids tuning parameters altogether. This approach provides
accurate variable selection in regression settings and, additionally,
opens up new possibilities for the estimation of gene regulation
networks, microbial ecosystems, and many other network structures.