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How do diseases spread and how can the analysis of data help us stop them? In this lecture, Christl Donnelly will draw lessons from past epidemics and endemic diseases, across livestock, wildlife, and human populations, to show how mathematical frameworks and statistical inference help unravel complex transmission systems. Click the link above for details.
Mon, 09 Feb 2026

15:30 - 16:30
L3

On blowup for wave maps with additive noise

Irfan Glogić
(Bielefeld University)
Abstract

We study a prototypical geometric wave equation, given by wave maps from the Minkowski space R 1+d into the sphere S d , under the influence of additive stochastic forcing, in all energy-supercritical dimensions d ≥ 3. In the deterministic setting, self-similar finite-time blowup is expected for large data, but remains open beyond perturbative regimes. We show that adding a non-degenerate Gaussian noise provokes finite-time blowup with positive probability for arbitrary initial data. Moreover, the blowup is governed by the explicit self-similar profile originally identified in the deterministic theory. Our approach combines local well-posedness for stochastic wave equations, a Da Prato-Debussche decomposition, and a stability analysis in self-similar variables. The result corroborates the conjecture that the self-similar blowup mechanism is robust and represents the generic large-data behavior in the deterministic problem.

This is joint work with M. Hofmanova and E. Luongo (Bielefeld)

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Permutation-Invariant Spectral Learning via Dyson Diffusion
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Thu, 12 Mar 2026
16:00
Lecture Room 4

TBA

Vandita Patel
(University of Manchester)
Wed, 26 Nov 2025

16:00 - 17:00
L6

Extending the Reshetikhin-Turaev TQFT

Glen Lim
(University of Oxford )
Abstract

A d-dimensional TQFT is a topological invariant which assigns (d-1)-dimensional manifolds to vector spaces and d-dimensional cobordisms to linear maps. In the early 90s, Reshetikhin and Turaev constructed examples of these in the case d=3, using the data of certain types of linear categories. In this talk, I will provide an overview of this construction, and then explore how this might be meaningfully extended downwards to assign 1-manifolds to "2-vector spaces". Minimal knowledge of category theory assumed!

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Categorical Symmetries in Spin Models with Atom Arrays
Warman, A Yang, F Tiwari, A Pichler, H Schäfer-Nameki, S Physical Review Letters volume 135 issue 20 206503 (13 Nov 2025)
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