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Challenges for modelling interventions for future pandemics
Kretzschmar, M Ashby, B Fearon, E Overton, C Panovska-Griffiths, J Pellis, L Quaife, M Rozhnova, G Scarabel, F Stage, H Swallow, B Thompson, R Tildesley, M Villela, D Epidemics volume 38 (11 Feb 2022)
Tue, 01 Mar 2022
14:00
L4

Independent sets in random subgraphs of the hypercube

Gal Kronenberg
(Oxford)
Abstract

Independent sets in bipartite regular graphs have been studied extensively in combinatorics, probability, computer science and more. The problem of counting independent sets is particularly interesting in the d-dimensional hypercube $\{0,1\}^d$, motivated by the lattice gas hardcore model from statistical physics. Independent sets also turn out to be very interesting in the context of random graphs.

The number of independent sets in the hypercube $\{0,1\}^d$ was estimated precisely by Korshunov and Sapozhenko in the 1980s and recently refined by Jenssen and Perkins.

In this talk we will discuss new results on the number of independent sets in a random subgraph of the hypercube. The results extend to the hardcore model and rely on an analysis of the antiferromagnetic Ising model on the hypercube.

This talk is based on joint work with Yinon Spinka.

Wed, 02 Mar 2022

14:00 - 15:00
Virtual

Twisted eleven-dimensional supergravity and exceptional lie algebras

Surya Raghavendran
(University of Toronto and Perimeter Institute)
Abstract

I'll describe an interacting holomorphic-topological field theory in eleven dimensions defined on products of Calabi-Yau 5-folds with real one-manifolds. The theory describes a certain deformation of the cotangent bundle to the moduli of Calabi-Yau deformations of the 5-fold and conjecturally describes a certain protected sector of eleven-dimensional supergravity. Strikingly, the theory has an infinite dimensional global symmetry algebra given by an extension of the exceptional lie superalgebra E(5,10) first studied by Kac. This talk is based on joint work with Ingmar Saberi and Brian Williams.

 

Thursday 17 March 2022. Online only. 5.00-6.15pm In December 2021 mathematicians at Oxford and Sydney universities together with their collaborators at DeepMind announced that they had successfully used tools from machine learning to discover new patterns in mathematics. But what exactly had they done and what are its implications for the future of mathematics and mathematicians?
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THE INFLUENCE OF WALL FLEXIBILITY AND SURFACTANT ON LIQUID BOLUS PROPAGATION ALONG A LIQUID-LINED TUBE
Waters, S Howell, P Grotberg, J ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) volume 1998-D 97-98 (01 Jan 1998)
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