Blog
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Weak Galilean invariance as a selection principle for coarse-grained diffusive models
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Galileo Galilei famously stated the principle of Galilean invariance, which links the equations of motion of closed systems as viewed in distinct inertial frames translating relative to one another at a constant velocity.
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Universal behavior of the full particle statistics of one-dimensional Coulomb gases with an arbitrary external potential
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Random matrix theory is central to the study of the properties of strongly correlated systems in condensed matter physics and related fields, where important physical quantities are surprisingly well reflected by the joint probability density of the eigenvalues of random matrices.
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Intermittent dynamics in complex systems driven to depletion
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From earthquakes driven by continental drift to businesses altering their strategies in response to customers’ behaviour, many complex systems exhibit highly unpredictable dynamics, fluctuating episodically between periods of relative quiescence and bursts of activity.
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Heteroclinic networks – probing the hidden influence of unstable fixed points
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The stable fixed points of a dynamical system attract obvious interest as potential resting points, or final states. Without continued forcing, for example, a physical pendulum will ultimately end up hanging motionless in the downward position.
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Using Extreme Value Theory to Characterize Chaotic Dynamics
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In the analysis of dynamical systems, the correlation dimension is a useful indicator describing the fractal structure of invariant sets. Other measures, such as the Lyapunov exponents and the entropy, provide complementary information on the time scale of predictability of the system.
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Characterizing local energy transfers in atmospheric flows
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Computational models employed for simulations of weather and climate have limited spatial resolution, currently around 2 km for regional weather models and 100 km for global climate models.
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LML External Fellow Davide Faranda has received the 2018 Outstanding Early Career Scientists Award of the European Geosciences Union
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Davide was given the award for “his exceptional contributions to developing the theory of extreme values for dynamical systems and its use for analysing the underlying properties of the dynamics of the atmosphere and the climate system.”
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Large deviation theory for diluted Wishart random matrices
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Modern computing technology has brought about the era of Big Data, and a host of new challenges concerning how to analyse high-dimensional data for problems ranging from studies of climate to genetics, biomedical imaging to economics.
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Baillie Gifford sponsors LML Economics project
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We are delighted to share the news that Baillie Gifford has become LML’s first corporate sponsor, donating £1 million over four years to support our research into economics. We are grateful for this generous philanthropy, which will help us accelerate progress in this ground-breaking scientific programme.
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Switching dynamics in atmospheric flow
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The jet stream is a band of air that flows around the Earth at high-altitude, moving West to East in mid-latitude regions. This so-called “zonal” flow typically has cyclones and anticyclones embedded within it, which last for a few days.