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Probabilistic methods applied to fluctuating systems

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...

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Main Author: Corker, Lloyd A
Other Authors: Britton, David T
Format: Thesis
Language:English
Published: Department of Physics 2014
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access_status_str Open Access
author Corker, Lloyd A
author2 Britton, David T
author_browse Britton, David T
Corker, Lloyd A
author_facet Britton, David T
Corker, Lloyd A
author_sort Corker, Lloyd A
collection Thesis
description 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.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:35.758Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Physics
publisherStr Department of Physics
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/10320 Probabilistic methods applied to fluctuating systems Corker, Lloyd A Britton, David T Härting, Margit Physics 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. 2014-12-27T19:55:19Z 2014-12-27T19:55:19Z 2012 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/10320 eng application/pdf Department of Physics Faculty of Science University of Cape Town
spellingShingle Physics
Corker, Lloyd A
Probabilistic methods applied to fluctuating systems
thesis_degree_str Doctoral
title Probabilistic methods applied to fluctuating systems
title_full Probabilistic methods applied to fluctuating systems
title_fullStr Probabilistic methods applied to fluctuating systems
title_full_unstemmed Probabilistic methods applied to fluctuating systems
title_short Probabilistic methods applied to fluctuating systems
title_sort probabilistic methods applied to fluctuating systems
topic Physics
url http://hdl.handle.net/11427/10320
work_keys_str_mv AT corkerlloyda probabilisticmethodsappliedtofluctuatingsystems