Nonlinear effects on Turing patterns: time oscillations and chaos

We show that a model reaction-diffusion system with two species in a monostable regime and over a large region of parameter space produces Turing patterns coexisting with a limit cycle which cannot be discerned from the linear analysis. As a consequence, the patterns oscillate in time. When varying...

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Principais autores: Aragón, J, Barrio, R, Woolley, T, Baker, R, Maini, P
Formato: Journal article
Publicado em: American Physical Society 2012
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author Aragón, J
Barrio, R
Woolley, T
Baker, R
Maini, P
author_facet Aragón, J
Barrio, R
Woolley, T
Baker, R
Maini, P
author_sort Aragón, J
collection OXFORD
description We show that a model reaction-diffusion system with two species in a monostable regime and over a large region of parameter space produces Turing patterns coexisting with a limit cycle which cannot be discerned from the linear analysis. As a consequence, the patterns oscillate in time. When varying a single parameter, a series of bifurcations leads to period doubling, quasiperiodic, and chaotic oscillations without modifying the underlying Turing pattern. A Ruelle-Takens-Newhouse route to chaos is identified. We also examine the Turing conditions for obtaining a diffusion-driven instability and show that the patterns obtained are not necessarily stationary for certain values of the diffusion coefficients. These results demonstrate the limitations of the linear analysis for reaction-diffusion systems.
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spelling oxford-uuid:8025fcc2-1df4-41f2-8d61-c366b39095ae2022-03-26T21:21:30ZNonlinear effects on Turing patterns: time oscillations and chaosJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8025fcc2-1df4-41f2-8d61-c366b39095aeMathematical Institute - ePrintsAmerican Physical Society2012Aragón, JBarrio, RWoolley, TBaker, RMaini, PWe show that a model reaction-diffusion system with two species in a monostable regime and over a large region of parameter space produces Turing patterns coexisting with a limit cycle which cannot be discerned from the linear analysis. As a consequence, the patterns oscillate in time. When varying a single parameter, a series of bifurcations leads to period doubling, quasiperiodic, and chaotic oscillations without modifying the underlying Turing pattern. A Ruelle-Takens-Newhouse route to chaos is identified. We also examine the Turing conditions for obtaining a diffusion-driven instability and show that the patterns obtained are not necessarily stationary for certain values of the diffusion coefficients. These results demonstrate the limitations of the linear analysis for reaction-diffusion systems.
spellingShingle Aragón, J
Barrio, R
Woolley, T
Baker, R
Maini, P
Nonlinear effects on Turing patterns: time oscillations and chaos
title Nonlinear effects on Turing patterns: time oscillations and chaos
title_full Nonlinear effects on Turing patterns: time oscillations and chaos
title_fullStr Nonlinear effects on Turing patterns: time oscillations and chaos
title_full_unstemmed Nonlinear effects on Turing patterns: time oscillations and chaos
title_short Nonlinear effects on Turing patterns: time oscillations and chaos
title_sort nonlinear effects on turing patterns time oscillations and chaos
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AT barrior nonlineareffectsonturingpatternstimeoscillationsandchaos
AT woolleyt nonlineareffectsonturingpatternstimeoscillationsandchaos
AT bakerr nonlineareffectsonturingpatternstimeoscillationsandchaos
AT mainip nonlineareffectsonturingpatternstimeoscillationsandchaos