Mon, 17 May 2021

16:00 - 17:00

Kinetic Theory for Hamilton-Jacobi PDEs

FRAYDOUN REZAKHANLOU
(Berkeley, USA)
Abstract

The flow of a Hamilton-Jacobi PDE yields a dynamical system on the space of continuous functions. When the Hamiltonian function is convex in the momentum variable, and the spatial dimension is one, we may restrict the flow to piecewise smooth functions and give a kinetic description for the solution. We regard the locations of jump discontinuities of the first derivative of solutions as the sites of particles. These particles interact via collisions and coagulations. When these particles are selected randomly according to certain Gibbs measures initially, then the law of particles remains Gibbsian at later times, and one can derive a Boltzmann/Smoluchowski type PDE for the evolution of these Gibbs measures.  In higher dimensions, we assume that the Hamiltonian function is independent of position and  that the initial condition is piecewise linear and convex. Such initial conditions can be identified as (Laguerre) tessellations and the Hamilton-Jacobi evolution  can be described as a billiard on the set of tessellations.

Mon, 07 Jun 2021

16:00 - 17:00

Risk-Taking Contest and its Mean Field Approximation

YUCHONG ZHANG
(University of Toronto)
Abstract

Following the risk-taking model of Seel and Strack, n players decide when to stop privately observed Brownian motions with drift and absorption at zero. They are then ranked according to their level of stopping and paid a rank-dependent reward. We study the optimal reward design where a principal is interested in the average performance and the performance at a given rank. While the former can be related to reward inequality in the Lorenz sense, the latter can have a surprising shape. Next, I will present the mean-field version of this problem. A particular feature of this game is to be tractable without necessarily being smooth, which turns out to offer a cautionary tale. We show that the mean field equilibrium induces n-player ε-Nash equilibria for any continuous reward function— but not for discontinuous ones. We also analyze the quality of the mean field design (for maximizing the median performance) when used as a proxy for the optimizer in the n-player game. Surprisingly, the quality deteriorates dramatically as n grows. We explain this with an asymptotic singularity in the induced n-player equilibrium distributions. (Joint work with M. Nutz)

Thu, 11 Mar 2021
11:30
Virtual

On pseudo-analytic and adelic models of Shimura curves (joint with Chris Daw)

Boris Zilber
((Oxford University))
Abstract

I will discuss the multi-sorted structure of analytic covers H -> Y(N), where H is the upper half-plane and Y(N) are the N-level modular curves, all N, in a certain language, weaker than the language applied by Adam Harris and Chris Daw.  We define a certain locally modular reduct of the structure which is called "pure" structure - an extension of the structure of special subvarieties.  
The problem of non-elementary categorical axiomatisation for this structure is closely related to the theory of "canonical models for Shimura curves", in particular, the description of Gal_Q action on the CM-points of the Y(N). This problem for the case of curves is basically solved (J.Milne) and allows the beautiful interpretation in our setting:  the abstract automorphisms of the pure structure on CM-points are exactly the automorphisms induced by Gal_Q.  Using this fact and earlier theorem of Daw and Harris we prove categoricity of a natural axiomatisation of the pseudo-analytic structure.
If time permits I will also discuss a problem which naturally extends the above:  a categoricity statement for the structure of unramified analytic covers H -> X, where X runs over all smooth curves over a given number field.  

This page has details of the research projects being undertaken by InFoMM Cohort Six.
Thu, 17 Jun 2021

14:00 - 15:00
Virtual

Primal-dual Newton methods, with application to viscous fluid dynamics

Georg Stadler
(New York University)
Abstract

I will discuss modified Newton methods for solving nonlinear systems of PDEs. These methods introduce additional variables before deriving the Newton linearization. These variables can then often be eliminated analytically before solving the Newton system, such that existing solvers can be adapted easily and the computational cost does not increase compared to a standard Newton method. The resulting algorithms yield favorable convergence properties. After illustrating the ideas on a simple example, I will show its application for the solution of incompressible Stokes flow problems with viscoplastic constitutive relation, where the additionally introduced variable is the stress tensor. These models are commonly used in earth science models. This is joint work with Johann Rudi (Argonne) and Melody Shih (NYU).

 

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This page has details of the research projects being undertaken by InFoMM Cohort Five.
Thu, 29 Apr 2021
14:00

Regularity, stability and passivity distances for dissipative Hamiltonian systems

Volker Mehrmann
(TU Berlin)
Abstract

Dissipative Hamiltonian systems are an important class of dynamical systems that arise in all areas of science and engineering. They are a special case of port-Hamiltonian control systems. When the system is linearized arround a stationary solution one gets a linear dissipative Hamiltonian typically differential-algebraic system. Despite the fact that the system looks unstructured at first sight, it has remarkable properties.  Stability and passivity are automatic, spectral structures for purely imaginary eigenvalues, eigenvalues at infinity, and even singular blocks in the Kronecker canonical form are very restricted and furthermore the structure leads to fast and efficient iterative solution methods for asociated linear systems. When port-Hamiltonian systems are subject to (structured) perturbations, then it is important to determine the minimal allowed perturbations so that these properties are not preserved. The computation of these structured distances to instability, non-passivity, or non-regularity, is typically a very hard non-convex optimization problem. However, in the context of dissipative Hamiltonian systems, the computation becomes much easier and can even be implemented efficiently for large scale problems in combination with model reduction techniques. We will discuss these distances and the computational methods and illustrate the results via an industrial problem.

 

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Fri, 12 Mar 2021
16:00
Virtual

Boundaries, Factorisation & Mirror Duality

Daniel Zhang
(Cambridge)
Abstract

I will review recent work on N=(2,2) boundary conditions of 3d
N=4 theories which mimic isolated massive vacua at infinity. Subsets of
local operators supported on these boundary conditions form lowest
weight Verma modules over the quantised bulk Higgs and Coulomb branch
chiral rings. The equivariant supersymmetric Casimir energy is shown to
encode the boundary ’t Hooft anomaly, and plays the role of lowest
weights in these modules. I will focus on a key observable associated to
these boundary conditions; the hemisphere partition function, and apply
them to the holomorphic factorisation of closed 3-manifold partition
functions and indices. This yields new “IR formulae” for partition
functions on closed 3-manifolds in terms of Verma characters. I will
also discuss ongoing work on connections to enumerative geometry, and
the construction of elliptic stable envelopes of Aganagic and Okounkov,
in particular their physical manifestation via mirror duality
interfaces.

This talk is based on 2010.09741 and ongoing work with Mathew Bullimore
and Samuel Crew.

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