Early warning signals for critical transitions in complex systems

Not all types of change are slow and gradual. Some changes are sudden and abrupt. Many of these sudden changes can also be catastrophic. Therefore, it is important to be on the lookout for early warning signals, which arise universally in complex systems. To date, a lot is known about early warning...

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Autor principal: Ho, Cheong Wei
Outros Autores: Cheong Siew Ann
Formato: Final Year Project (FYP)
Idioma:English
Publicado em: Nanyang Technological University 2023
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/166526
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author Ho, Cheong Wei
author2 Cheong Siew Ann
author_facet Cheong Siew Ann
Ho, Cheong Wei
author_sort Ho, Cheong Wei
collection NTU
description Not all types of change are slow and gradual. Some changes are sudden and abrupt. Many of these sudden changes can also be catastrophic. Therefore, it is important to be on the lookout for early warning signals, which arise universally in complex systems. To date, a lot is known about early warning signals theoretically, in particular the increasing variance, skewness and kurtosis of high-frequency time series data, and these have been tested in numerous real-world complex systems. However, many questions remain unanswered. Early warning signals present in specific types of complex systems do exist and have been identified, but what if there is a general type of early warning signal that we can then use to apply to systems that have not had specific early warning signals yet? thesis, we focus on the question of what the maximum values of these statistical indicators would be prior to a critical transition. If we know these maximum values, we could predict the time of the critical transition, which is another important question that has yet to be answered.
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spelling ntu-10356/1665262023-05-15T15:39:08Z Early warning signals for critical transitions in complex systems Ho, Cheong Wei Cheong Siew Ann School of Physical and Mathematical Sciences cheongsa@ntu.edu.sg Science::Physics Not all types of change are slow and gradual. Some changes are sudden and abrupt. Many of these sudden changes can also be catastrophic. Therefore, it is important to be on the lookout for early warning signals, which arise universally in complex systems. To date, a lot is known about early warning signals theoretically, in particular the increasing variance, skewness and kurtosis of high-frequency time series data, and these have been tested in numerous real-world complex systems. However, many questions remain unanswered. Early warning signals present in specific types of complex systems do exist and have been identified, but what if there is a general type of early warning signal that we can then use to apply to systems that have not had specific early warning signals yet? thesis, we focus on the question of what the maximum values of these statistical indicators would be prior to a critical transition. If we know these maximum values, we could predict the time of the critical transition, which is another important question that has yet to be answered. Bachelor of Science in Physics 2023-05-12T07:08:42Z 2023-05-12T07:08:42Z 2023 Final Year Project (FYP) Ho, C. W. (2023). Early warning signals for critical transitions in complex systems. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166526 https://hdl.handle.net/10356/166526 en application/pdf Nanyang Technological University
spellingShingle Science::Physics
Ho, Cheong Wei
Early warning signals for critical transitions in complex systems
title Early warning signals for critical transitions in complex systems
title_full Early warning signals for critical transitions in complex systems
title_fullStr Early warning signals for critical transitions in complex systems
title_full_unstemmed Early warning signals for critical transitions in complex systems
title_short Early warning signals for critical transitions in complex systems
title_sort early warning signals for critical transitions in complex systems
topic Science::Physics
url https://hdl.handle.net/10356/166526
work_keys_str_mv AT hocheongwei earlywarningsignalsforcriticaltransitionsincomplexsystems