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Alex Athorne
Sajjad Bakrani Balani
Giulia Carigi
Andrew Clarke
Maximilian Engel
Federico Graceffa
Michael Hartl
Giuseppe Malavolta
Guillermo Olicón Méndez
Cezary Olszowiec
Christian Pangerl
Matteo Tanzi
Kalle Timperi
Shangzhi Li
Ole Peters
Camille Poignard
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Bill Speares
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Mauricio Barahona
Davoud Cheraghi
Martin Hairer
Darryl Holm
Xue-Mei Li
Greg Pavliotis

DynamIC Seminars (Complete List)

Name Title Date Time Room
David Sixsmith (University of Liverpool)On domains with connected pre-imageAbstract: Suppose that f is a transcendental entire function, and that U and V are disjoint simply-connected domains. In 1970 it was (implicitly) claimed that at least one of these domains has disconnected pre-image under f. It was recently observed that there is a flaw in the proof of this claim. We discuss this flaw, and how to construct examples which show that the claim is in fact false; indeed, there can be infinitely many disjoint simply-connected domains with connected pre-image under f. We also consider additional hypotheses sufficient to make the claim true. Tuesday, 5 December 2017 14:00 Huxley 139
Victor Beresnevich (University of York)TBAAbstract: TBA Tuesday, 16 January 2018 14:00
Sanjeeva Balasuriya (University of Adelaide)Stochastic sensitivity: a computable measure for uncertainty of deterministic trajectoriesAbstract: Uncertainties in velocity data are often ignored when computing Lagrangian particle trajectories of fluids. Modelling these as noise in the velocity field leads to a random deviation from each trajectory. This deviation is examined within the context of small (multiplicative) stochasticity applying to a two-dimensional unsteady flow operating over a finite-time. It is proven that the deviation's expectation is zero, and that its variance is bounded by a quantity defined to be the stochastic sensitivity S^2. The S^2 field provides a measure of uncertainty for trajectories beginning at each location. An easily computable expression for S^2 is derived. Monte Carlo simulations are used on a model flow to quantitatively validate the usage of S^2, and moreover demonstrate the significant potential of S^2 as a new tool for identifying coherent structures in flows even when the velocity is only available as data. Tuesday, 23 January 2018 14:00

DynamIC Workshops and Mini-Courses (Complete List)

Title Date Venue
LMS Network Meeting in Holomorphic DynamicsWednesday, 22 March 2017Imperial College London
Aspects of Dynamical SystemsThursday, 16 March 2017 – Saturday, 18 March 2017Imperial College London
Mini-Workshop on the Dynamics of Complex NetworksTuesday, 10 January 2017Imperial College London
One Day Dynamics MeetingTuesday, 13 December 2016Imperial College London

Short-term DynamIC Visitors (Complete List)

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