Events

Department of Mathematics and Statistics

Texas Tech University

Spring 2019

Week:

Apr. 1 - Apr. 7

All

Current week

Colloquia

Thursday
Apr. 4
3:30 PM
ELECE 101

Colloquia
Jensen–Polya Program for the Riemann Hypothesis and Related Problems
Ken Ono
Department of Mathematics and Computer Science, Emory University

Seminars

Monday
Apr. 1
3:00 PM
MATH 011

Real-Algebraic Geometry
Singular Homology of the 2-Sphere
Veniamin Smirnov
Department of Mathematics and Statistics, Texas Tech University

Wednesday
Apr. 3
4:00 PM
MATH 110

Applied Mathematics and Machine Learning
Semi-analytic Methods for the Approximation of Abstract Fractional Extension Problems
Joshua Padgett
Department of Mathematics and Statistics, Texas Tech University

In recent years, fractional differential equations have become quite prevalent in applied mathematics. When used correctly, these non-local operators can model non-standard transport, such as anomalous diffusion, in many applications of interest (such as porous media). Approximations of fractional operators is still a highly nontrivial process as one must preserve the non-locality of the underlying operators in order of for the method to be valid. In this talk, we will introduce the notion of fractional powers of a class of abstract operators and construct appropriate approximations of these operators via a generalization of a method employed by Caffarelli and Silvestre. These techniques make no assumption of boundedness on the operators, and thus, may be employed in numerous numerical and analytical settings. The stability and convergence of this method can easily be related back to the spectral nature of the operator of interest. Numerical experiments will be presented to further verify the presented results.

Wednesday
Apr. 3
4:00 PM
MATH 112

Topology and Geometry
Ribbon graph decomposition of the moduli space of Riemann surfaces. Part II
Alastair Hamilton
Department of Mathematics and Statistics, Texas Tech University

Thursday
Apr. 4
4:30 PM
MATH 110

The Math Club
The mathematics of a nuclear reactor
Giorgio Bornia
Department of Mathematics and Statistics, Texas Tech University

Nuclear science is one of the most technologically advanced branches of human knowledge. Let us walk together through this fascinating world and understand how mathematics can be used to help the design and operation of nuclear systems. This talk is meant to bring an example of how diverse disciplines such as math, physics, engineering, and computer science meet together in real life.

Friday
Apr. 5
12:00 PM
EDU 156

Mathematics Education
Abstract Algebra in the K-12 mathematics curriculum
Jerry Dwyer
College of Education, Texas Tech University

TBA

Friday
Apr. 5
3:00 PM
MATH 110

Algebra and Number Theory
Moonshine
Ken Ono
Department of Mathematics and Computer Science, Emory University

Conferences and Meetings

None this week