Mon, 24 Oct 2022
16:00
L6

Recasting Selmer Schemes

Jay Swar
Abstract

The Chabauty-Kim method is an effective algorithm for finding the $S$-integral points of hyperbolic curves by directly using the hyperbolicity in group-cohomological arguments. Central objects in the theory are affine spaces known as a Selmer schemes. We'll introduce the CK method and Selmer schemes, and demonstrate some additional structures possessed by Selmer schemes which can aid in implementing the CK method.
 

Fri, 02 Dec 2022
10:00
L6

Closest Point of Approach problem

Dr. Nikhil Banda MIOA and Dan Pollard
(Drumgrange)
Abstract

Consider an environment with two vehicles/platforms moving at a relative velocity (v). The objective is to predict the Closest Point of Approach (CPA) between the two platforms as defined by the parameters: CPA time (t0), CPA bearing (θ0), CPA distance (r0)[†].The challenge is to identify mathematical operations - either using geometric methods, or by use of tracking algorithms such as Kalman Filters (EKF, UKF), or a combination of both - to estimate the CPA parameters. The statistical errors in estimation of CPA parameters also need to be quantified with each observations at time ti. The signals to be employed are acoustic in nature and the receiver platform has one sensor. The parameters that can extracted from acoustic signals are current relative bearing (θ) and current doppler or range rate (S) 


[†]Defined currently using polar coordinate system.

Mon, 17 Oct 2022
16:00
L6

On the Balog-Szemerédi-Gowers theorem

Akshat Mudgal
Abstract

The Balog-Szemerédi-Gowers theorem is a powerful tool in additive combinatorics, that allows one to roughly convert any “large energy” estimate into a “small sumset” estimate. This has found applications in a lot of results in additive combinatorics and other areas. In this talk, we will provide a friendly introduction and overview of this result, and then discuss some proof ideas. No hardcore additive combinatorics pre-requisites will be assumed.

Fri, 04 Nov 2022
10:00
L6

Cold start forecasting problems

Trevor Sidery
(Tesco)

Note: we would recommend to join the meeting using the Teams client for best user experience.

Abstract

As one of the largest retailers in the world, Tesco relies on automated forecasting to help with decision making. A common issue with forecasts is that of the cold start problem; that we must make forecasts for new products that have no history to learn from. Lack of historical data becomes a real problem as it prevents us from knowing how products react to events, and if their sales react to the time of year. We might consider using similar products as a way to produce a starting forecast, but how should we define what ‘similar’ means, and how should we evolve this model as we start getting real live data? We’ll present some examples to hopefully start a fruitful discussion.

Thu, 10 Nov 2022

12:00 - 13:00
L6

Sustained oscillations in hyperbolic-parabolic systems of viscoelasticity

Athanasios Tzavaras
(KAUST)
Abstract

This talk is motivated by work on the existence theory for viscoelasticity of Kelvin-Voigt type with non-convex stored energies (joint with K. Koumatos (U. of Sussex), C. Lattanzio and S. Spirito (U. of LAquila)), which shows propagation of H1-regularity for the deformation gradient of weak solutions for semiconvex stored energies. It turns out that weak solutions with deformation gradient in H1 are in fact unique in two-space dimensions, providing a striking analogy to corresponding results in the theory of 2D Euler equations with bounded vorticity.

While weak solutions still exist for initial data in L2, oscillations on the deformation gradi- ent can now persist and propagate in time. This can be seen via a counterexample indicating that for non-monotone stress-strain relations in 1-d oscillations of the strain lead to solutions with sustained oscillations. The existence of sustained oscillations in hyperbolic-parabolic system is then studied in several examples motivated by viscoelasticity and thermoviscoelas- ticity. Sufficient conditions for persistent oscillations are developed for linear problems, and examples in some nonlinear systems of interest. In several space dimensions oscillatory exam- ples are associated with lack of rank-one convexity of the stored energy. Nonlinear examples in models with thermal effects are also developed.

Thu, 20 Oct 2022

12:00 - 13:00
L6

Analysis and Numerical Approximation of Stationary Second-order Mean Field Game Partial Differential Inclusions

Yohance Osborne
(University College London)
Abstract

The formulation of Mean Field Games (MFG) via partial differential equations typically requires continuous differentiability of the Hamiltonian in order to determine the advective term in the Kolmogorov--Fokker--Planck equation for the density of players. However, in many cases of practical interest, the underlying optimal control problem may exhibit bang-bang controls, which typically lead to nondifferentiable Hamiltonians. In this talk we will present results on the analysis and numerical approximation of stationary second-order MFG systems for the general case of convex, Lipschitz, but possibly nondifferentiable Hamiltonians. In particular, we will propose a generalization of the MFG system as a Partial Differential Inclusion (PDI) based on interpreting the derivative of the Hamiltonian in terms of subdifferentials of convex functions. We present results that guarantee the existence of unique weak solutions to the stationary MFG PDI under a monotonicity condition similar to one that has been considered previously by Lasry and Lions. Moreover, we will propose a monotone finite element discretization of the weak formulation of the MFG PDI, and present results that confirm the strong H^1-norm convergence of the approximations to the value function and strong L^q-norm convergence of the approximations to the density function. The performance of the numerical method will be illustrated in experiments featuring nonsmooth solutions. This talk is based on joint work with my supervisor Iain Smears.

Mon, 10 Oct 2022
16:00
L6

Modular forms, Galois representations, and cohomology of line bundles

Aleksander Horawa
Abstract

Modular forms are holomorphic functions on the upper half plane satisfying a transformation property under the action of Mobius transformations. While they are a priori complex-analytic objects, they have applications to number theory thanks to their connection with Galois representations. Weight one modular forms are special because their Galois representations factor through a finite quotient. In this talk, we will explain a different degeneracy: they contribute to the cohomology of a line bundle over the modular curve in degrees 0 and 1. We propose an arithmetic explanation for this: an action of a unit group associated to the Galois representation of the modular form. This extends the conjectures of Venkatesh, Prasanna, and Harris. Time permitting, we will discuss a generalization to Hilbert modular forms.

Fri, 28 Oct 2022
10:00
L6

Dynamical ticket pricing for movies

Bhavesh Joshi
(MovieMe)

Note: we would recommend to join the meeting using the Teams client for best user experience.

Abstract

Movie Me would like offer dynamical pricing for movie tickets, considering consumer’s demand for the movie, showtime and lead time before the show begins, such that the overall quantity of tickets sold is maximized. We encourage all interested party to join us and especially those interested in data science, optimization and mathematical finance.

Tue, 22 Nov 2022

15:30 - 16:30
L6

Domino Shuffle and Matrix Refactorizations

Sunil Chhita
(Durham University)
Abstract

This talk is motivated by computing correlations for domino tilings of the Aztec diamond.  It is inspired by two of the three distinct methods that have recently been used in the simplest case of a doubly periodic weighting, that is the two-periodic Aztec diamond. This model is of particular probabilistic interest due to being one of the few models having a boundary between polynomially and exponentially decaying macroscopic regions in the limit. One of the methods to compute correlations, powered by the domino shuffle, involves inverting the Kasteleyn matrix giving correlations through the local statistics formula. Another of the methods, driven by a Wiener-Hopf factorization for two- by-two matrix valued functions, involves the Eynard-Mehta theorem. For arbitrary weights the Wiener-Hopf factorization can be replaced by an LU- and UL-decomposition, based on a matrix refactorization, for the product of the transition matrices. In this talk, we present results to say that the evolution of the face weights under the domino shuffle and the matrix refactorization is the same. This is based on joint work with Maurice Duits (Royal Institute of Technology KTH).  

 

Tue, 15 Nov 2022

15:30 - 16:30
L6

Unitary Brownian motion, 2D log-correlated field and loop soups

Isao Sauzzede
(University of Warwick)
Abstract

I will present two examples of log-correlated fields in 2 dimensions. It is well known that the log-characteristic polynomial of a uniform unitary matrix converges toward a 1 dimensional log-correlated field, and our first example will be obtained from a dynamical version of this model. The second example will be obtained from a radically different construction, based on the Brownian loop soup that we will introduce. It will lead to a whole family of log-correlated fields. We will focus on the description of the behaviour of these objects, more than on rigorous details.

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