Fri, 23 Oct 2026
13:30
C6

Lojasiewicz Estimates for Regularised Baby Skyrme Models

Sebastian Woodward
((Mathematical Institute University of Oxford))
Abstract

A natural energy arising in the modelling of thin ferromagnetic films and liquid crystals is the Dirichlet energy, along with a penalisation term which favours a particular configuration. In this talk, I present recent work which establishes a quantitative analysis for sequences of minimisers to both the Baby-Skyrme model and two regularisation arising from geometry and physics respectively.

Wed, 14 Oct 2026
10:00
C6

Poisson equation for the $G_2$-Laplace operator

Stepan Hudecek
(University of Queensland)
Abstract

Riemannian manifolds whose holonomy group lies inside the exceptional Lie group G_2 are called G_2-manifolds. These manifolds have several interesting properties (they are Ricci-flat) and are of interest in geometric analysis as well as in mathematical physics and other fields. In this seminar, we will give an introduction to the theory of G_2-manifolds and discuss an associated non-linear Laplacian-type operator whose kernel essentially determines whether a compact manifold is G_2. We will present uniqueness and existence results for the Poisson’s equation of this operator on homogeneous and cohomogeneity-one manifolds.

 
Mon, 26 Oct 2026
15:30
L5

Constructing Lagrangians from multi-grid diagrams

Laura Wakelin
Abstract
Triple grid diagrams were introduced by Blackwell, Gay and Lambert-Cole as a way to construct Lagrangians in CP2 through the lens of an underlying trisection. We generalise this to multi-grid diagrams, which can be used to construct Lagrangians in all symplectic toric 4-manifolds. We give examples of multi-grid diagrams for a range of Lagrangians in S2 x S2, including Evans’ recent non-squeezable Klein bottle. This is joint work with Shintaro Fushida-Hardy. 
 
Introgression under linear selection on continuous genomes
Foutel-Rodier, F Barton, N Etheridge, A Genetics
Mon, 26 Oct 2026

15:30 - 16:30
L3

Quantitative convergence of finite population approximations for mean field control problems

Mehdi Talbi
(University of Paris Cité)
Abstract

We study the approximation of mean field control problems by systems of interacting controlled particles, focusing on quantitative convergence rates for the associated value functions. We first establish non-asymptotic convergence bounds in discrete time, allowing for common noise and interactions through both states and controls. We then extend these results to path-dependent models, where the convergence rates reflect the increasing dimension of the discretized path space. Our approach relies on dynamic programming arguments combined with Wasserstein estimates for empirical measures of independent, not necessarily identically distributed random variables. In continuous time, we combine these estimates with uniform time-discretization bounds to obtain an explicit logarithmic convergence rate for path-dependent McKean–Vlasov control problems. Numerical experiments illustrate our theoretical results and highlight the influence of path dependence on convergence rates.

 
This is a joint work with Mathieu Laurière, NYU Shanghai.
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