Bugs on walls: Understanding biological weathering
Abstract
Microbial biofilms grow on most rock and stone surfaces and may play critical roles in weathering. With climate change and improving air quality in many cities in Europe biofilms are growing rapidly on many historic stone buildings and posing practical problems for heritage conservation. With many new field and lab techniques available it is now possible to identify the microbes present and start to clarify their roles. We now need help modelling microbial biofilm growth and impacts in order to provide better advice for conservators.
From model-independent pricing in mathematical finance to new Monte-Carlo schemes
Abstract
The question of how to derive useful bounds on
arbitrage-free prices of exotic options given only prices of liquidly
traded products like European call und put options has received much
interest in recent years. It also led to new insights about classic
problems in probability theory like the Skorokhod embedding problem. I
will take this as a starting point and show how this progress can be
used to give new results on general Monte-Carlo schemes.
Two-phase Flow Problems in the Chemical Engineering Industry - a report of work done following OCIAM workshop on 8/3/13
Abstract
This topic was the subject of an OCIAM workshop on 8th March 2013
given by Nick Hall Taylor . The presentation will start with a review
of the physical problem and experimental evidence. A mathematical
model leading to a hydrodynamic free boundary problem has been derived
and some mathematical and computational results will be described.
Finally we will assess the results so far and list a number of
interesting open problems.
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After the workshop and during coffee at 11:30, we will also give a preview of the
upcoming problems at the Malaysian Study Group (Mar. 17-21). Problem
descriptions can be found here:
Peano Arithmetic, Fermat's Last Theorem, and something like Hilbert's notion of contentual mathematics
Abstract
Several number theorists have stressed that the proofs of FLT focus on small concrete arithmetically defined groups rings and modules, so the steps can be checked by direct calculation in any given case. The talk looks at this in relation both to Hilbert's idea of contentual (inhaltlich) mathematics, and to formal provability in Peano arithmetic and other stronger and weaker axioms.
Pricing Bermudan Options by Simulation: When Optimal Exercise Matters" (joint work with Carlos Velasco).
Abstract
We study lower- and dual upper-bounds for Bermudan options in a MonteCarlo/MC setting and provide four contributions. 1) We introduce a local least-squares MC method, based on maximizing the Bermudan price and which provides a lower-bound, which "also" minimizes (not the dual upper-bound itself, but) the gap between these two bounds; where both bounds are specified recursively. 2) We confirm that this method is near optimal, for both lower- and upper-bounds, by pricing Bermudan max-call options subject to an up-and-out barrier; state-of-the-art methods including Longstaff-Schwartz produce a large gap of 100--200 basis points/bps (Desai et al. (2012)), which we reduce to just 5--15 bps (using the same linear basis of functions). 3) For dual upper-bounds based on continuation values (more biased but less time intensive), it works best to reestimate the continuation value in the continuation region only. And 4) the difference between the Bermudan option Delta and the intrinsic value slope at the exercise boundary gives the sensitivity to suboptimal exercise (up to a 2nd-order Taylor approximation). The up-and-out feature flattens the Bermudan price, lowering the Bermudan Delta well below one when the call-payoff slope is equal to one, which implies that optimal exercise "really" matters.
Harmonic Maps and Heat Flows
Abstract
I plan to give a non technical introduction (i.e. no prerequisites required apart basic differential geometry) to some analytic aspects of the theory of harmonic maps between Riemannian manifolds, motivate it by briefly discussing some relations to other areas of geometry (like minimal submanifolds, string topology, symplectic geometry, stochastic geometry...), and finish by talking about the heat flow approach to the existence theory of harmonic maps with some open problems related to my research.
Graph expansion and communication complexity of algorithms
Abstract
I will discuss a novel approach to estimating communication costs of an algorithm (also known as its I/O complexity), which is based on small-set expansion for computational graphs. Various applications and implications will be discussed as well, mostly having to do with linear algebra algorithms. This includes, in particular, first known (and tight) bounds on communication complexity of fast matrix multiplication.
Joint work with Grey Ballard, James Demmel, Benjamin Lipshitz and Oded Schwartz.
Arithmetic of abelian varieties over function fields and an application to anabelian geometry.
Abstract
We investigate certain (hopefully new) arithmetic aspects of abelian varieties defined over function fields of curves over finitely generated fields. One of the key ingredients in our investigation is a new specialisation theorem a la N\'eron for the first Galois cohomology group with values in the Tate module, which generalises N\'eron specialisation theorem for rational points. Also, among other things, we introduce a discrete version of Selmer groups, which are finitely generated abelian groups. We also discuss an application of our investigation to anabelian geometry (joint work with Akio Tamagawa).
"Myco-fluidics": physical modeling of fungal growth and dispersal
Abstract
Familiar species; humans, mammals, fish, reptiles and plants represent only a razor’s edge of the Earth’s immense biodiversity. Most of the Earth’s multicellular species lie buried in soil, inside of plants, and in the undergrowth, and include millions of unknown species, almost half of which are thought to be fungi. Part of the amazing success of fungi may be the elegant solutions that they have evolved to the problems of dispersing, growing and adapting to changing environments. I will describe how we using both math modeling and experiments to discover some of these solutions. I will focus on (i) how cytoplasmic mixing enables some species to tolerate internal genetic diversity, making them better pathogens and more adaptable, and (ii) how self-organization of these flows into phases of transport and stasis enables cells to function both as transport conduits, and to perform other functions like growth and secretion.
Instance optimality of an AFEM with maximum marking strategy
Abstract
Adaptive finite element methods (AFEMs) with Dörflers marking strategy are known to converge with
optimal asymptotical rates. Practical experiences show that AFEMs with a maximum marking strategy
produces optimal results thereby being less sensitive to choices of the marking parameter.
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In this talk, we prove that an AFEM with a modified maximum strategy is even instance optimal for the
total error, i.e., for the sum of the error and the oscillation. This is a non-asymptotical optimality result.
Our approach uses new techniques based on the minimisation of the Dirichlet energy and a newly
developed tree structure of the nodes of admissible triangulations.
Stochastic homogenization of nonconvex integral functionals with non-standard convex growth conditions
Abstract
Property (T) for SL<sub>n</sub>(ℤ)
Abstract
10:30
CAT(0) structures for free-by-cyclic groups
Abstract
I will discuss free-by-cyclic groups and cases where they can and cannot act on CAT(0) spaces. I will specifically go into a construction building CAT(0) 2-complexes on which free of rank 2-by-cyclic act. This is joint work with Martin Bridson and Martin Lustig.
Freeness of critical cohomological Hall algebras, Kac polynomials and character varieties II
Abstract
I will discuss some very well studied cohomology groups that turn out to be captured by the machinery of critical CoHAs, for example the compactly supported cohomology of singular quiver varieties and untwisted character varieties. I will explain the usefulness of this extra CoHA structure on these groups, starting with a new proof of the Kac conjecture, and discuss a conjectural form for the CoHA associated to untwisted character varieties that provides a new way to think about the conjectures of Hausel and Rodriguez-Villegas. Finally I will discuss an approach to purity for the compactly supported cohomology of quiver varieties and a related approach to a conjecture of Shiffmann and Vasserot, analogous to Kirwan surjectivity for the stack of commuting matrices.
15:30
"Bayesian networks, information and entropy"
Abstract
Nature and the world of human technology are full of
networks. People like to draw diagrams of networks: flow charts,
electrical circuit diagrams, signal flow diagrams, Bayesian networks,
Feynman diagrams and the like. Mathematically-minded people know that
in principle these diagrams fit into a common framework: category
theory. But we are still far from a unified theory of networks.
Freeness of critical cohomological Hall algebras, Kac polynomials and character varieties I
Abstract
The cohomological Hall algebra of vanishing cycles associated to a quiver with potential is a categorification of the refined DT invariants associated to the same data, and also a very powerful tool for calculating them and proving positivity and integrality conjectures. This becomes especially true if the quiver with potential is "self dual" in a sense to be defined in the talk. After defining and giving a general introduction to the relevant background, I will discuss the main theorem regarding such CoHAs: they are free supercommutative.
Particle Methods for Inference in Non-linear Non-Gaussian State-Space Models
Abstract
State-space models are a very popular class of time series models which have found thousands of applications in engineering, robotics, tracking, vision, econometrics etc. Except for linear and Gaussian models where the Kalman filter can be used, inference in non-linear non-Gaussian models is analytically intractable. Particle methods are a class of flexible and easily parallelizable simulation-based algorithms which provide consistent approximations to these inference problems. The aim of this talk is to introduce particle methods and to present the most recent developments in this area.
Understanding the Dynamics of Embryonic Stem Cell Differentiation: A Combined Experimental and Modeling Approach
Abstract
Pluripotency is a key feature of embryonic stem cells (ESCs), and is defined as the ability to give rise to all cell lineages in the adult body. Currently, there is a good understanding of the signals required to maintain ESCs in the pluripotent state and the transcription factors that comprise their gene regulatory network. However, little is known about how ESCs exit the pluripotent state and begin the process of differentiation. We aim to understand the molecular events associated with this process via an experiment-model cycle.