Skip to content
Texas A&M University
Mathematics

Events for 02/08/2017 from all calendars

Number Theory Seminar

iCal  iCal

Time: 1:45PM - 2:45PM

Location: BLOC 220

Speaker: Tamás Erdélyi, Texas A&M University

Title: Improved lower bound for the number of unimodular zeros of self-reciprocal polynomials with coefficients in a finite set

Abstract: See link below.

URL: Event link


Groups and Dynamics Seminar

iCal  iCal

Time: 3:00PM - 4:00PM

Location: BLOC 220

Speaker: Roger Howe

Title: Unitary representations of discrete nilpotent groups, and C^* algebras

Abstract: This talk will review the theory of unitary representations of finitely generated, torsion-free nilpotent groups (aka, discrete subgroups of simply connected nilpotent Lie groups). The finite dimensional irreducible representations can (almost) be described by an analog of Kirillov's orbit method, which will also be reviewed. The infinite dimensional irreducible unitary representations are too disorderly to classify in a simple way, as will be shown by example. However, there is a reasonable way, based on C^* algebras, to collect the irreducible representations into chunks, which can then be classified in analogy with the finite-dimensional representations.


Student Working Seminar in Groups and Dynamics

iCal  iCal

Time: 4:00PM - 5:00PM

Location: BLOC 628

Speaker: Krzysztof Święcicki, Texas A&M University

Title: A Coarse Introduction


AMUSE

iCal  iCal

Time: 6:00PM - 7:00PM

Location: BLOC 220

Speaker: Dr. Glenn Lahodny Jr., Texas A&M University, Department of Mathematics

Title: An Introduction to Mathematical Modeling of Infectious Diseases

Abstract: Each year, millions of people worldwide die from infectious diseases such as measles, malaria, tuberculosis, and HIV/AIDS. Although the transmission of infectious diseases involves many complicating factors, simple mathematical models can provide insight into the dynamics of disease epidemics and help public health officials make decisions about public health policy. In this talk, I will discuss some basic techniques for epidemiological modeling.