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Wednesday, September 27, 2023 2:30 pm - 2:30 pm EDT (GMT -04:00)

Logic Seminar

Nicolas Chavarria Gomez, Department of Pure Mathematics, University of Waterloo

"Positive primitive elimination in a continuous context"

Wednesday, September 27, 2023 3:00 pm - 3:00 pm EDT (GMT -04:00)

Algebraic Geometry Working Seminar

Kaleb D. Ruscitti, Department of Pure Mathematics, University of Waterloo

"Toric degeneration of the moduli space of holomorphic SL(2,C)-bundles over a Riemann Surface"

Thursday, September 28, 2023 1:00 pm - 1:00 pm EDT (GMT -04:00)

Kirby Calculus Seminar

Michael Albanese, Department of Pure Mathematics, University of Waterloo

"Heegaard diagrams of three-manifolds"

We will represent handle decompositions of three-manifolds diagramatically, and relate them to Heegaard splittings. This will serve as a precursor for Kirby diagrams.

MC 5403

Thursday, September 28, 2023 2:30 pm - 2:30 pm EDT (GMT -04:00)

Geometry & Topology Seminar

Mykola Matviichuk, Imperial College London

"Elliptic Log Symplectic Brackets on Projective Bundles"

Thursday, September 28, 2023 4:30 pm - 4:30 pm EDT (GMT -04:00)

Analysis Seminar

Matteo Pagliero, KU Leuven

"Classification of equivariantly \mathcal{O}2-stable amenable actions on nuclear C*-algebras"

Friday, September 29, 2023 12:30 pm - 12:30 pm EDT (GMT -04:00)

Intersection Theory Learning Seminar

Changho Han, Department of Pure Mathematics, University of Waterloo

"Introduction to Intersection Theory (feat. Chow Ring)"

Friday, September 29, 2023 5:00 pm - 5:00 pm EDT (GMT -04:00)

Pure Math Grad Colloquium

Jérémy Champagne, Department of Pure Mathematics, University of Waterloo

"Yet another proof of the Riemann hypothesis"

In the last few months, I have developed a hobby, which is to find proofs (or disproofs?!) of the Riemann hypothesis. In this talk, I will be sharing some of my favourite ones!

MC 5417

Monday, October 2, 2023 2:30 pm - 2:30 pm EDT (GMT -04:00)

Colloquium

M. Ram Murty, Queen's University

"Brain Network Hubs and Markov Processes"

A new chapter of interdisciplinary research between neuroscience and graph theory has emerged in the last 20 years. In recent joint work with neuroscientist A. N. Prasad, we proposed a model using graph theory and Markov chains to identify "brain hubs" in the neural networks of organisms. We will survey this work and underline some future directions. The talk will be accessible to a general audience.

MC 5501