Sampling-based Nyström Approximation and Kernel Quadrature
Hayakawa, S Oberhauser, H Lyons, T (23 Jan 2023)
Tue, 07 Feb 2023
15:30
L4

Constant Scalar Curvature Metrics on Algebraic Manifolds (Part II)

Sean Timothy Paul
(University of Wisconsin Madison)
Abstract

According to the Yau-Tian-Donaldson conjecture, the existence of a constant scalar curvature Kähler (cscK) metric in the cohomology class of an ample line bundle $L$ on a compact complex manifold $X$ should be equivalent to an algebro-geometric "stability condition" satisfied by the pair $(X,L)$. The cscK metrics are the critical points of Mabuchi's $K$-energy functional $M$, defined on the space of Kähler potentials, and an important result of Chen-Cheng shows that cscK metrics exist iff $M$ satisfies a standard growth condition (coercivity/properness). Recently the speaker has shown that the $K$-energy is indeed proper if and only if the polarized manifold is stable. The stability condition is closely related to the classical notion of Hilbert-Mumford stability. The speaker will give a non-technical account of the many areas of mathematics that are involved in the proof. In particular, he hopes to discuss the surprising role played by arithmetic geometry ​in the spirit of Arakelov, Faltings, and Bismut-Gillet-Soule.

A new lipid-structured model to investigate the opposing effects of Ldl and Hdl on atherosclerotic plaque macrophages
Chambers, K Myerscough, M Byrne, H SSRN Electronic Journal (01 Jan 2022)
Statistical and topological summaries aid disease detection for segmented retinal vascular images
Nardini, J Pugh, C Byrne, H Microcirculation volume 30 issue 4 (02 Feb 2023)
Reconstructing production networks using machine learning
Mungo, L Lafond, F Astudillo-Estevez, P Farmer, J Journal of Economic Dynamics and Control volume 148 (01 Feb 2023)
Benchmarking optimality of time series classification methods in distinguishing diffusions
Zhang, Z Lu, F Fei, E Lyons, T Kevrekidis, Y Woolf, T (30 Jan 2023)
Numerically Solving Parametric Families of High-Dimensional Kolmogorov
Partial Differential Equations via Deep Learning
Berner, J Dablander, M Grohs, P (09 Nov 2020) http://arxiv.org/abs/2011.04602v1
Exploring QSAR models for activity-cliff prediction
Dablander, M Hanser, T Lambiotte, R Morris, G (31 Jan 2023)
Tue, 07 Feb 2023

12:00 - 13:15
L3

The stochastic analysis of Euclidean QFTs

Massimiliano Gubinelli
(Mathematical Insitute, Oxford)
Abstract

I will report on a research program which uses ideas from stochastic analysis in the context of constructive Euclidean quantum field theory. Stochastic analysis is the study of measures on path spaces via push-forward from Gaussian measures. The foundational example is the map, introduced by Itô, which sends Brownian motion to a diffusion process solution to a stochastic differential equation. Parisi–Wu's stochastic quantisation is the stochastic analysis of an Euclidean quantum field, in the above sense. In this introductory talk, I will put these ideas in context and illustrate various stochastic quantisation procedures and some of the rigorous results one can obtain from them.

Thu, 09 Feb 2023
15:00
L6

The HKKP filtration for algebraic stacks

Andres Ibanez Nunez
Abstract

In work of Haiden-Katzarkov-Konsevich-Pandit (HKKP), a canonical filtration, labeled by sequences of real numbers, of a semistable quiver representation or vector bundle on a curve is defined. The HKKP filtration is a purely algebraic object that depends only on a poset, yet it governs the asymptotic behaviour of a natural gradient flow in the space of metrics of the object. 

In this talk, we show that the HKKP filtration can be recovered from the stack of semistable objects, thus generalising the HKKP filtration to other moduli problems of non-linear origin. In particular, we will make sense of the notion of a filtration labelled by sequence of numbers for a point of an algebraic stack.

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