Probabilistic methods applied to fluctuating systems

 

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dc.contributor.advisor Britton, David T en_ZA
dc.contributor.advisor Härting, Margit en_ZA
dc.contributor.author Corker, Lloyd A en_ZA
dc.date.accessioned 2014-12-27T19:55:19Z
dc.date.available 2014-12-27T19:55:19Z
dc.date.issued 2012 en_ZA
dc.identifier.citation Corker, L. 2012. Probabilistic methods applied to fluctuating systems. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/10320
dc.description.abstract In this work the hierarchical structure of three diverse stochastic systems is studied by investigating the probability densities of their scale-dependent measures across various scales. In the first system studied, velocity increments are used to investigate the order of complexity and disorder of wind turbulence. The second system investigates the disorders of skeletal muscles and the nervous system by considering the fluctuation of electric potentials of skeletal muscles. The last system studied is a non-physical system where price increments are used to classify the financial markets in terms of predictability of price changes and market efficiency. In all three stochastic systems a Fokker-Planck equation is used to describe how the scale-dependent measure is correlated across nested scales. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Physics en_ZA
dc.title Probabilistic methods applied to fluctuating systems en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Physics en_ZA
dc.type.qualificationlevel Doctoral en_ZA
dc.type.qualificationname PhD en_ZA
uct.type.filetype Text
uct.type.filetype Image


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