14:00
14:00
Applications of Sparse Signal Recovery for High-Dimensional Data
Abstract
I will discuss the so-called Lasso method for signal recovery for high-dimensional data and show applications in computational biology, machine learning and image analysis.
16:00
Hybrid asymptotic-numerical methods for high frequency scattering
13:00
On Backward Stochastic Differential Equations
Abstract
This talk will be based on a joint work with Professor Terry Lyons and Mr Gechun Liang (OMI). I will explain a new approach to define and to solve a class of backward dynamic systems including the well known examples of non-linear backward SDE. The new approach does not require any kind of martingale representation or any specific restriction on the probability base in question, and therefore can be applied to a much wider class of backward systems.
Hitchin's connection, Toeplitz operators, and deformation quantization
Abstract
I will briefly describe a differential geometric construction of Hitchin's projectively flat connection in the Verlinde bundle, over Teichm\"uller space, formed by the Hilbert spaces arising from geometric quantization of the moduli space of flat connections on a Riemann surface. We will work on a general symplectic manifold sharing certain properties with the moduli space. Toeplitz operators enter the picture when quantizing classical observables, but they are also closely connected with the notion of deformation quantization. Furthermore, through an intimate relationship between Toeplitz operators, the Hitchin connection manifests itself in the world of deformation quantization as a connection on formal functions. As we shall see, this formal Hitchin connection can be used to construct a deformation quantization, which is independent of the Kähler polarization used for quantization. In the presence of a symmetry group, this deformation quantization can (under certain cohomological conditions) be constructed invariantly. The talk presents joint work with J. E. Andersen.
09:30
16:30
Non-normal perspectives on Atlantic ocean variability and predictability
15:45
17:00
Pressure and projection methods for viscous incompressible flows
Abstract
For incompressible Navier-Stokes equations in a bounded domain, I will
first present a formula for the pressure that involves the commutator
of the Laplacian and Leray-Helmholtz projection operators. This
commutator and hence the pressure is strictly dominated by the viscous
term at leading order. This leads to a well-posed and computationally
congenial unconstrained formulation for the Navier-Stokes equations.
Based on this pressure formulation, we will present a new
understanding and design principle for third-order stable projection
methods. Finally, we will discuss the delicate inf-sup stability issue
for these classes of methods. This is joint work with Bob Pego and Jie Liu.
15:45
A stochastic approach to relativistic diffusions
Abstract
A new class of relativistic diffusions encompassing all the previously studied examples has recently been introduced by C. Chevalier and F Debbasch, both in a heuristic and analytic way. Roughly speaking, they are characterised by the existence at each (proper) time (of the moving particle) of a (local) rest frame where the random part of the acceleration of the particle (computed using the time of the rest frame) is brownian in any spacelike direction of the frame.
I will explain how the tools of stochastic calculus enable us to give a concise and elegant description of these random paths on any Lorentzian manifiold. A mathematically clear definition of the the one-particle distribution function of the dynamics will emerge from this definition, and whose main property will be explained. This will enable me to obtain a general H-theorem and to shed some light on links between probablistic notions and the large scale structure of the manifold.
All necessary tools from stochastic calculus and geometry will be explained.
Twistor Methods for Scattering Amplitudes
Abstract
Tree-level scattering amplitudes in N=4 SYM are now known to possess a Yangian symmetry, formed by combining the original PSU(2,2|4) superconformal invariance with a second "dual" copy. I will also discuss very recent work constructing scattering amplitudes in a twistor space in which this dual superconformal symmetry acts geometrically.
Analysis of asymmetric stable droplets in a fish patterning model
Abstract
diffusion model which can be used to describe the patterning in a number of fish species. It is
straightforward to analyse this phenomenon in the case when two non-zero stable steady states are
symmetric, however the asymmetric case is more challenging. We use a recently developed
perturbation technique to investigate the weakly asymmetric case.
16:30
Eigenvalues of large random trees
Abstract
A common question in evolutionary biology is whether evolutionary processes leave some sort of signature in the shape of the phylogenetic tree of a collection of present day species.
Similarly, computer scientists wonder if the current structure of a network that has grown over time reveals something about the dynamics of that growth.
Motivated by such questions, it is natural to seek to construct``statistics'' that somehow summarise the shape of trees and more general graphs, and to determine the behaviour of these quantities when the graphs are generated by specific mechanisms.
The eigenvalues of the adjacency and Laplacian matrices of a graph are obvious candidates for such descriptors.
I will discuss how relatively simple techniques from linear algebra and probability may be used to understand the eigenvalues of a very broad class of large random trees. These methods differ from those that have been used thusfar to study other classes of large random matrices such as those appearing in compact Lie groups, operator algebras, physics, number theory, and communications engineering.
This is joint work with Shankar Bhamidi (U. of British Columbia) and Arnab Sen (U.C. Berkeley).
14:30