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Events in MathSys and Complexity Science

This is a calendar page detailing events within the MathSys CDT. It also acts as a booking diary for the Seminar Room D1.07. To book D1.07 please email Sheetal.Sharma@warwick.ac.uk

Please note that your event booking is for D1.07 only. The adjacent common room is a private area for the MathSys Centre that cannot used as part of your booking.

MathSys CDT events have priority for D1.07 room bookings.

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Nick Watkins (Natural Complexity Project, British Antarctic Survey, Cambridge UK)

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Location: Maths B1.01
Title: Some aspects of Levy flights: Natural, fractional ... and imaginary

Abstract: In the 1960s Mandelbrot developed several fractal models  to describe how the shape of many aspects of the natural  world departs from the Euclidean. One modelled  heavy  tailed jumps-the "Noah effect", typical of economic index  time series-using Levy flights. In the introductory section I will show a few examples of natural systems for  which Levy flights or walks offer a useful model,  including the Earth's auroral electric currents and  the  turbulent solar wind which is their ultimate energy  source. I will also mention recent work where we have  revisited an earlier study which had identified Levy  walks in albatross foraging, using new data and improved  analysis methods.

In my more technical section I will describe studies  using a simple self-affine stable model-linear fractional  stable motion, LFSM, which unifies Levy flights with long  range memory-to give insight into space physics data.  I  will present a newly-derived diffusion equation for LFSM,    and  show work in progress using an LFSM generator and  simple analytic scaling arguments to study the problem of  the area between an LFSM curve and a threshold. Finally I   will discuss how LFSM gives the appearance of multi-affine scaling without having an  underlying turbulent cascade or other multiplicative  process. The importance of this property for the interpretation of natural time series will be discussed. 

Tags: forum

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