Tue, 28 Jan 2025
15:00
L6

The space of traces of certain discrete groups

Raz Slutsky
Abstract

A trace on a group is a positive-definite conjugation-invariant function on it. In the past couple of decades, the study of traces has led to exciting connections to the rigidity, stability, and dynamics of groups. In this talk, I will explain these connections and focus on the topological structure of the space of traces of some groups. We will see the different behaviours of these spaces for free groups vs. higher-rank lattices. This is based on joint works with Arie Levit, Joav Orovitz and Itamar Vigdorovich.

Tue, 25 Feb 2025
14:00
L6

Nakajima quiver varieties in dimension 4

Pavel Shlykov
(University of Glasgow)
Abstract

Nakajima quiver varieties form an important class of examples of conical symplectic singularities. For example, such varieties of dimension 2 are Kleinian singularities. Starting from this, I will describe a combinatorial approach to classifying the next case, affine quiver varieties of dimension 4. If time permits, I will try to say the implications we obtained and how can one compute the number of crepant symplectic resolutions of these varieties. This is a joint project with Samuel Lewis.

Tue, 11 Feb 2025
14:00
L6

Distribution of powers of random unitary matrices through singularities of hyperplane arrangements

Itay Glazer
(Technion - Israel Institute of Technology)
Abstract

Let X be a n by n unitary matrix, drawn at random according to the Haar measure on U_n, and let m be a natural number. What can be said about the distribution of X^m and its eigenvalues? 

The density of the distribution \tau_m of X^m can be written as a linear combination of irreducible characters of U_n, where the coefficients are the Fourier coefficients of \tau_m. In their seminal work, Diaconis and Shahshahani have shown that for any fixed m, the sequence (tr(X),tr(X^2),...,tr(X^m)) converges, as n goes to infinity, to m independent complex normal random variables (suitably normalized). This can be seen as a statement about the low-dimensional Fourier coefficients of \tau_m. 

In this talk, I will focus on high-dimensional spectral information about \tau_m. For example: 

(a) Can one give sharp estimates on the rate of decay of its Fourier coefficients?

(b) For which values of p, is the density of \tau_m  L^p-integrable? 

Using works of Rains about the distribution of X^m, we will see how Item (a) is equivalent to a branching problem in the representation theory of certain compact homogeneous spaces, and how (b) is equivalent to a geometric problem about the singularities of certain varieties called (Weyl) hyperplane arrangements.

 

Based on joint works with Julia Gordon and Yotam Hendel and with Nir Avni and Michael Larsen.

Sun, 11 Feb 2024
14:00
L5

TBA

Itay Glazer
(Technion - Israel Institute of Technology)
Tue, 04 Feb 2025
15:00
L6

Random elements in finite groups

Michał Marcinkowski
Abstract

How to uniformly, or at least almost uniformly, choose an element from a finite group ? When G is too large to enumerate all its elements, direct (pseudo)random selection is impossible. However, if we have an explicit set of generators of G (e.g., as in the Rubik's cube group), several methods are available. This talk will focus on one such method based on the well-known product replacement algorithm. I will discuss how recent results on property (T) by Kaluba, Kielak, Nowak and Ozawa partially explain the surprisingly good performance of this algorithm.

On $\frac{1}{8}$-BPS black holes and the chiral algebra of $\mathcal{N}=4$ SYM
Chang, C Lin, Y Wu, J Advances in Theoretical and Mathematical Physics volume 28 issue 7 2431-2489 (2024)
A Note on Graphs of $k$-Colourings
Hogan, E Scott, A Tamitegama, Y Tan, J The Electronic Journal of Combinatorics volume 31 issue 4 (29 Nov 2024)
Defending Against Diverse Attacks in Federated Learning Through
Consensus-Based Bi-Level Optimization
Trillos, N Akash, A Li, S Riedl, K Zhu, Y (03 Dec 2024) http://arxiv.org/abs/2412.02535v1
Argentine ants regulate traffic flow with stopped individuals
Dobramysl, U Garnier, S Poissonnier, L Dussutour, A Bruna, M (09 Dec 2024) http://arxiv.org/abs/2412.06587v1
David shuffling cards

We all have to live with uncertainty. We attribute good and bad events as ‘due to chance’, label people as ‘lucky’, and (sometimes) admit our ignorance. In this Oxford Mathematics Public Lecture David shows how to use the theory of probability to take apart all these ideas, and demonstrate how you can put numbers on your ignorance, and then measure how good those numbers are. 

Subscribe to