Events
Department of Mathematics and Statistics
Texas Tech University
Topology furnishes us with many commutative rings associated to finite
groups. These include the complex representation ring, the Burnside
ring, and the G-equivariant K-theory of a space. Often, these admit
additional structure in the form of natural operations on the ring,
such as power operations, symmetric powers, and Adams operations. We
will discuss two ways of constructing Adams operations. The goal of
the talk is to understand these in the case of the Burnside ring.
There are similar characterizations in terms of complexes of flat
modules and complexes of injective modules.
Follow the talk via this Zoom link
Meeting ID: 910 1221 3761
Passcode: 095533
Abstract pdf
Please attend this week's Statistics seminar at 4:00 PM (UT-5) on the 18th via this zoom link.
Meeting ID: 910 8711 6902
Passcode: 369504
abstract noon CDT (UT-5)
In this talk I will discuss applications of derived differential geometry to study a non-perturbative generalisation of classical Batalin–Vilkovisky (BV-)formalism. First, I will describe the current state of the art of the geometry of perturbative BV-theory. Then, I will introduce a simple model of derived differential geometry, whose geometric objects are formal derived smooth stacks (i.e. stacks on formal derived smooth manifolds), and which is obtained by applying Töen-Vezzosi’s homotopical algebraic geometry to the theory of derived manifolds of Spivak and Carchedi-Steffens. I will show how derived differential geometry is able to capture aspects of non-perturbative BV-theory by means of examples in the cases of scalar field theory and Yang-Mills theory.Abstract. In drug-resistant epilepsy, neurophysiological abnormalities have been identified in resting-state brain imaging data during seizure intervals (ictal), as well as between seizures (interictal), where the background brain activity is altered by abnormal brain discharges. These abnormalities have been linked to the epileptogenic zone, the brain area that is indispensable for the generation of seizures. During this presentation, we elaborate on the ability of coherent brain patterns, identified from intracranial electroencephalography (iEEG) data through signal processing and machine learning tools, to automatically delineate the epileptogenic zone and predict surgical outcome in children with drug-resistant epilepsy. The talk will provide a background about presurgical evaluation process and describe the proposed mathematical formulation that automates the estimation of the epileptogenic zone. We finally validate the proposed approach by statistically evaluating a cohort of epilepsy patients and discussing the clinical value of our methodology.
When: 4:00 pm (Lubbock's local time is GMT -6)
Where: room MATH 011 (basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 944 4492 2197
* Passcode: applied
 | Thursday
Mar. 21
6:30 PM
MA 108
|
| Mathematics Education
Math Circle
Miraj Samarakkody
Department of Mathematics and Statistics, Texas Tech University
|
Math Circle spring poster