OCIAM TBC
Luca Tubiana is Assistant Professor of applied Physics at Università di Trento.
Luca Tubiana is Assistant Professor of applied Physics at Università di Trento.
Jane Coons is a Supernumerary Teaching Fellow in Mathematics at St John's College. She is a member of OCIAM, and Algebraic Systems Biology research groups. Her research interests are in algebra, geometry and combinatorics, and their applications to statistics and biology.
Giliian Grindstaff is a post-doc working in the area of geometric and topological data analysis at the MI.
Symmetrically Colored Gaussian Graphical Models with Toric Vanishing Ideals
Jane Coons
Gaussian graphical models are multivariate Gaussian statistical models in which a graph encodes conditional independence relations among the random variables. Adding colors to this graph allows us to describe situations where some entries in the concentration matrices in the model are assumed to be equal. In this talk, we focus on RCOP models, in which this coloring is obtained from the orbits of a subgroup of the automorphism group of the underlying graph. We show that when the underlying block graph is a one-clique-sum of complete graphs, the Zariski closure of the set of concentration matrices of an RCOP model on this graph is a toric variety. We also give a Markov basis for the vanishing ideal of this variety in these cases.
Topological persistence for multi-scale terrain profiling and feature detection in drylands hydrology
Gillian Grindstaff
With the growing availability of remote sensing products and computational resources, an increasing amount of landscape data is available, and with it, increasing demand for automated feature detection and useful morphological summaries. Topological data analysis, and in particular, persistent homology, has been applied successfully to detect landslides and characterize soil pores, but its application to hydrology is currently still limited. We demonstrate how persistent homology of a real-valued function on a two-dimensional domain can be used to summarize critical points and shape in a landscape simultaneously across all scales, and how that data can be used to automatically detect features of hydrological interest, such as: experimental conditions in a rainfall simulator, boundary conditions of landscape evolution models, and earthen berms and stock ponds, placed historically to alter natural runoff patterns in the American southwest.
Oxford Mathematics in partnership with Orchestra of the Age of Enlightenment: Bach, the Universe & Everything
Schooled by Randomness
Sunday 30 January 2022, 5:30-6.30pm
Mathematical Institute, Woodstock Road, OX2 6GG
The Science: Tim Harford
There’s been a mistake. The venue has provided the wrong piano. The black notes are sticking, the white notes are out of tune, the pedals don’t work and the instrument itself is just too small. What do you do? Tim Harford talks about how random obstacles and frustrations can inspire us to be more creative.
The Music: J.S. Bach
BWV 81 Jesus schläft, was soll ich hoffen? (Jesus sleeps, what shall I hope for?). Today’s cantata draws upon those moments in life when confusing and random obstacles in our path make us fear for the future and we need to be shown a way out.
Bach, the Universe & Everything is a collaborative music and maths event between Orchestra of the Age of Enlightenment and Oxford Mathematics. Through a series of thought-provoking Bach cantatas, readings and talks from leading Oxford thinkers, we seek to create a community similar to the one that Bach enjoyed in Leipzig until 1750.
Supersymmetric gauge theories in five dimensions, although power counting non-renormalizable, are known to be in some cases UV completed by a superconformal field theory. Many tools, such as M-theory compactification and pq-web constructions, were used in recent years in order to deepen our understanding of these theories. This framework gives us a concrete way in which we can try to search for additional IR conformal field theory via deformations of these well-known superconformal fixed points. Recently, the authors of 2001.00023 proposed a supersymmetry breaking mass deformation of the E_1theory which, at weak gauge coupling, leads to pure SU(2) Yang-Mills and which was conjectured to lead to an interacting CFT at strong coupling. During this talk, I will provide an explicit geometric construction of the deformation using brane-web techniques and show that for large enough gauge coupling a global symmetry is spontaneously broken and the theory enters a new phase which, at infinite coupling, displays an instability. The Yang-Mills and the symmetry broken phases are separated by a phase transition. Quantum corrections to this analysis are discussed, as well as possible outlooks. Based on arXiv: 2109.02662.
Climate- and weather prediction centres such as the Met Office rely on efficient numerical methods for simulating large scale atmospheric flow. One computational bottleneck in many models is the repeated solution of a large sparse system of linear equations. Preconditioning this system is particularly challenging for state-of-the-art discretisations, such as (mimetic) finite elements or Discontinuous Galerkin (DG) methods. In this talk I will present recent work on developing efficient multigrid preconditioners for practically relevant modelling codes. As reported in a REF2021 Industrial Impact Case Study, multigrid has already led to runtime savings of around 10%-15% for operational global forecasts with the Unified Model. Multigrid also shows superior performance in the Met Office next-generation LFRic model, which is based on a non-trivial finite element discretisation.
A topological insulator has anomalous boundary spectrum which completely fills up gaps in the bulk spectrum. This ``topologically protected’’ spectral property is a physical manifestation of coarse geometry and index theory ideas. Special examples involve spectral flow and gerbes, related to Hamiltonian anomalies, and they arise experimentally in quantum Hall systems, time-reversal invariant mod-2 insulators, and shallow-water waves.