Tue, 03 Feb 2026
15:30

Foundations for derived analytic and differential geometry

Kobi Kremnitzer
((Mathematical Institute University of Oxford))
Abstract

In this talk I will describe how bornological spaces give a foundation for derived geometries. This works over any Banach ring allowing to define analytic and differential geometry over the integers. I will discuss applications of this approach such as the representability of certain moduli spaces and Galois actions on the cohomology of differetiable manifolds admitting a \Q-form.

Causal transport on path space
Cont, R Lim, F Annals of Probability
Thu, 26 Feb 2026

12:00 - 12:30
Lecture Room 4, Mathematical Institute

TBA

Alan Muriithi
Abstract

TBA

Thu, 05 Mar 2026

12:00 - 12:30
Lecture Room 4, Mathematical Institute

TBA

Roy Makhlouf
(UC Louvain)
Abstract

TBA

Thu, 05 Feb 2026

12:00 - 12:30
Lecture Room 4, Mathematical Institute

A Very Short Introduction to Ptychographic Image Reconstruction

Prof Jaroslav Fowkes
Abstract

I will present a very short introduction to the mathematics behind the scientific imaging technique known as ptychography, starting with a brief overview of the physics model and the various simplifications required, before moving on to the main ptychography inverse problem and the three principal classes of optimization algorithms currently being used in practice. 

Tue, 17 Feb 2026
16:00
L6

Graph and Chaos Theories Combined to Address Scrambling of Quantum Information (with Arkady Kurnosov and Sven Gnutzmann)

Uzi Smilansky
Abstract

Given a quantum Hamiltonian, represented as an $N \times N$ Hermitian matrix $H$, we derive an expression for the largest Lyapunov exponent of the classical trajectories in the phase space appropriate for the dynamics induced by $H$. To this end we associate to $H$ a graph with $N$ vertices and derive a quantum map on functions defined on the directed edges of the graph. Using the semiclassical approach in the reverse direction we obtain the corresponding classical evolution (Liouvillian) operator. Using ergodic theory methods (Sinai, Ruelle, Bowen, Pollicott\ldots) we obtain closed expressions for the Lyapunov exponent, as well as for its variance. Applications for random matrix models will be presented.

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