Complex evolution of a multi-particle system

Detalhes bibliográficos
Autor(a) principal: Machado, J. A. Tenreiro
Data de Publicação: 2013
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/3755
Resumo: This paper studies a discrete dynamical system of interacting particles that evolve by interacting among them. The computational model is an abstraction of the natural world, and real systems can range from the huge cosmological scale down to the scale of biological cell, or even molecules. Different conditions for the system evolution are tested. The emerging patterns are analysed by means of fractal dimension and entropy measures. It is observed that the population of particles evolves towards geometrical objects with a fractal nature. Moreover, the time signature of the entropy can be interpreted at the light of complex dynamical systems.
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spelling Complex evolution of a multi-particle systemComplex systemsMulti-particle systemsEvolutionEntropyThis paper studies a discrete dynamical system of interacting particles that evolve by interacting among them. The computational model is an abstraction of the natural world, and real systems can range from the huge cosmological scale down to the scale of biological cell, or even molecules. Different conditions for the system evolution are tested. The emerging patterns are analysed by means of fractal dimension and entropy measures. It is observed that the population of particles evolves towards geometrical objects with a fractal nature. Moreover, the time signature of the entropy can be interpreted at the light of complex dynamical systems.ElsevierRepositório Científico do Instituto Politécnico do PortoMachado, J. A. Tenreiro2014-02-06T15:47:59Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/3755eng0307-904X10.1016/j.apm.2013.04.044info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:43:36Zoai:recipp.ipp.pt:10400.22/3755Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:24:45.509075Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Complex evolution of a multi-particle system
title Complex evolution of a multi-particle system
spellingShingle Complex evolution of a multi-particle system
Machado, J. A. Tenreiro
Complex systems
Multi-particle systems
Evolution
Entropy
title_short Complex evolution of a multi-particle system
title_full Complex evolution of a multi-particle system
title_fullStr Complex evolution of a multi-particle system
title_full_unstemmed Complex evolution of a multi-particle system
title_sort Complex evolution of a multi-particle system
author Machado, J. A. Tenreiro
author_facet Machado, J. A. Tenreiro
author_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Machado, J. A. Tenreiro
dc.subject.por.fl_str_mv Complex systems
Multi-particle systems
Evolution
Entropy
topic Complex systems
Multi-particle systems
Evolution
Entropy
description This paper studies a discrete dynamical system of interacting particles that evolve by interacting among them. The computational model is an abstraction of the natural world, and real systems can range from the huge cosmological scale down to the scale of biological cell, or even molecules. Different conditions for the system evolution are tested. The emerging patterns are analysed by means of fractal dimension and entropy measures. It is observed that the population of particles evolves towards geometrical objects with a fractal nature. Moreover, the time signature of the entropy can be interpreted at the light of complex dynamical systems.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2014-02-06T15:47:59Z
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url http://hdl.handle.net/10400.22/3755
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0307-904X
10.1016/j.apm.2013.04.044
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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