Events

Shubham Dwivedi, Department of Pure Mathematics, University of Waterloo

"Deformation theory of nearly G_2 manifolds"

I will start by describing nearly G_2 manifolds and the infinitesimal deformations of nearly G_2 structures. I will describe the results of Alexandrov and Semmelmann on the deformations of nearly G_2 structures and will give a different proof of their result by using a modified Dirac operator. 

MC 5413

Dimitris Koukoulopoulos, Université de Montréal

"On the Duffin-Schaeffer conjecture"

Igor Shparlinski, University of New South Wales

"Integers of prescribed arithmetic structure in residue classes"

Andrej Vukovic, Department of Pure Mathematics, University of Waterloo

This week, we continue to study the cobordism and introduce the definition of Topological quantum field theories.

MC 5417

Christopher Hawthorne, Department of Pure Mathematics, University of Waterloo

"NIP X"

We continue section 3.3 of Simon's Guide to NIP theories.

M3 3103

Aidan Patterson, Department of Pure Mathematics, University of Waterloo

"Thimm’s Trick and the Gelfand-Zeitlin System"

Anup Dixit, Queen's University

"On Ihara's conjecture and the localized Erdos-Kac theorem"

Luke MacLean, Department of Pure Mathematics, University of Waterloo

"Reverse Mathematics"

Different forms of Ramsey's Theorem will be discussed with a focus on their reverse mathematical strength. Tools from computability theory such as PA degrees will be used.

MC 5413

Matt Satriano, Department of Pure Mathematics, University of Waterloo

"Introduction to Valuative Trees and its connection with dynamics"

We will review where we left off last term, highlighting the main results concerning valuative trees and the role they play in Junyi Xie's proof of the Medevdev-Scanlon Conjecture for the affine plane.

MC 5403

Alex Chirvasitu, University of Buffalo

"Loosely embeddable metric spaces"

Embedding finite metric spaces isometrically into Hilbert spaces has elicited some interest outside of pure mathematics due to applications to fields like computer vision, machine learning, the structure of networks and other such areas.