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Department of Mathematics

Upcoming Seminars

Memorial Union on sunny day

Join us for an upcoming seminar featuring mathematics faculty and invited speakers on one of our seven research topics. You may also see upcoming seminars by topic:

Rowing, waving, and worms: using computational methods to study how natural variation affects swimming performance in Tomopteridae

KIDDER 238
Mathematical Biology Seminar

Speaker: Nick Battista

The ocean is home to an incredible diversity of animals of many shapes and sizes. Living life in a water-based environment presents unique challenges that vary based on the size and shape of each organism. Animals have evolved a variety of morphological structures, locomotor mechanisms, and swimming strategies that help reduce their energy expenditure by favoring more energetically efficient modes. Comprehensive studies that consider multiple morphological and kinematics traits and their influence on swimming performance are needed to investigate these differing strategies. Computational modeling gives us a tool to glean insight into how morphological or kinematics variation affects performance across different scales. For example, validated models can be used to thoroughly explore how varying multiple traits affects performance, where conducting an empirical study may be unrealistic due to finding enough organisms to test across the landscape of multiple traits. In addition, models… Read more.

Maxwell's Equations and HMM (by Boo) and A flexible algorithm for low-dose region-of-interest tomography (by Cowal)

STAG 112
Applied Mathematics and Computation Seminar

Speaker: Wei-Xi Boo and Peter Cowal

ABSTRACT (talk by Boo): Meta-materials have unique electromagnetic properties and possess transformative potential for optics. Electromagnetic waves are governed by a set of partial differential equations called Maxwell's equations. The material response to electromagnetic waves is modeled by constitutive laws. Accurate simulations of Maxwell's equations with dispersive constitutive laws can aid the design of such materials. However, materials with such unique electromagnetic properties often have nano-scale structures that pose a challenge in solving Maxwell's equations numerically due to the resulting high computational cost. We describe a novel numerical method enabled by Heterogeneous Multiscale Methods (HMM), designed to simulate Maxwell’s equations coupled with the constitutive laws efficiently. We also present an energy analysis and error analysis for this numerical method.ABSTRACT (talk by Cowal): Traditional algorithms for CT reconstruction require measurements to be taken… Read more.

The Method of Moving Spheres on Hyperbolic Space and Classification of Solutions to a Class of PDEs

Kidder 237
Analysis Seminar

Speaker: Jianxiong Wang

The classification of solutions for semilinear partial differential equations, as well as the classification ofcritical points of the corresponding functionals, have wide applications in the study of partial differential equationsand differential geometry. The classical moving plane method and the moving sphere method on $\mathbb{R}^n$ provide aneffective approach to capturing the symmetry of solutions. In this talk, we focus on the equation\begin{equation*} P_k u = f(u)\end{equation*}on hyperbolic spaces $\mathbb{H}^n$, where $P_k$ denotes the GJMS operators and $f : \mathbb{R} \to \mathbb{R}$ satisfies certain growth conditions. I will introduce a moving sphere approach on $\mathbb{H}^n$, to obtain the symmetry property as well as the classification result towards positive solutions. Our methods also rely on Helgason-Fourier analysis and Hardy-Littlewood-Sobolev inequalities on hyperbolic spaces together with a newly introduced Kelvin-type transform on $\mathbb{H}^n$. Read more.

Cobordism Obstructions to Complex Sections

Kidd 280
Geometry and Topology Seminar

Speaker: Dennis Ngyuen

There is a classical problem to determine whether a manifold admits r linearly independent tangent vector fields. In the case of one everywhere non-zero vector field, this problem was solved by Hopf, and the obstruction is the Euler characteristic of the manifold. Bokstedt, Dupont and Svane approached this problem by instead determining the obstruction to finding a cobordant manifold with r vector fields. We extend their results by looking at obstructions to finding linearly independent complex sections of the tangent bundle of almost complex manifolds. In this case, we are able to describe the rational obstruction for almost complex manifolds. This obstruction is given in terms of Chern characteristic numbers. Moreover, we are able to give certain bounds for r under which the torsion obstruction vanishes. Read more.

The Moduli Space of Graphical Associative Submanifolds

Kidd 280
Geometry and Topology Seminar

Speaker: Emily Windes

In this talk, I discuss an infinite-dimensional Lagrange-multipliers problem that first appeared in Donaldson and Segal’s paper “Gauge Theory in Higher Dimensions II”. The longterm goal is to apply Floer theory to a functional whose critical points are generalizations of three (real) dimensional, special Lagrangian submanifolds. I will discuss a transversality theorem related to the moduli space of solutions to the Lagrange multiplers problem. Read more.

Digital Twins for Time Dependent Problems

STAG 112
Applied Mathematics and Computation Seminar

Speaker: Juan Restrepo

ABSTRACT: A digital twin is a set of algorithms that connect the virtual world to the physical worl in a fully bi-directional way: for example, a predictive digital twin will use physics models, machine learned models, constraints as well as observations to make forecasts. A digital twin used as a controller would yield a virtual prescription, taking into account observations, that prescribes changes in the real world aimed at obtaining a certain desired real world outcome. I will describe ongoing work on developing a digital twin that will become central to an artificial intelligence framework for large scale electric grid resilience via adaptation. BIO: Juan M. Restrepo is a Distinguished Member of the R&D staff and the section head of the mathematics in computation section at Oak Ridge National Laboratory. His research concerns foundational aspects of machine learning and the development of new artificial intelligence algorithms for science. He is a Fellow of the Society of… Read more.