Spatiotemporal dynamics for a diffusive mussel–algae model near a Hopf bifurcation point
Abstract In this paper, the Hopf bifurcation and Turing instability for a mussel–algae model are investigated. Through analysis of the corresponding kinetic system, the existence and stability conditions of the equilibrium and the type of Hopf bifurcation are studied. Via the center manifold and Hop...
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Series: | Advances in Difference Equations |
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Online Access: | https://doi.org/10.1186/s13662-021-03338-4 |
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doaj-a458bdfff47545829a7405db0486efe22021-03-28T11:40:03ZengSpringerOpenAdvances in Difference Equations1687-18472021-03-012021112010.1186/s13662-021-03338-4Spatiotemporal dynamics for a diffusive mussel–algae model near a Hopf bifurcation pointShihong Zhong0Xuehan Cheng1Biao Liu2School of Mathematical Sciences, Beihang UniversitySchool of Mathematics and Statistics, Ludong UniversitySchool of Mathematics and Physics, Anhui Jianzhu UniversityAbstract In this paper, the Hopf bifurcation and Turing instability for a mussel–algae model are investigated. Through analysis of the corresponding kinetic system, the existence and stability conditions of the equilibrium and the type of Hopf bifurcation are studied. Via the center manifold and Hopf bifurcation theorem, sufficient conditions for Turing instability in equilibrium and limit cycles are obtained, respectively. In addition, we find that the strip patterns are mainly induced by Turing instability in equilibrium and spot patterns are mainly induced by Turing instability in limit cycles by numerical simulations. These provide a comprehension on the complex pattern formation of a mussel–algae system.https://doi.org/10.1186/s13662-021-03338-4Hopf bifurcationTuring instabilitySpatial patternMussel–algae model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shihong Zhong Xuehan Cheng Biao Liu |
spellingShingle |
Shihong Zhong Xuehan Cheng Biao Liu Spatiotemporal dynamics for a diffusive mussel–algae model near a Hopf bifurcation point Advances in Difference Equations Hopf bifurcation Turing instability Spatial pattern Mussel–algae model |
author_facet |
Shihong Zhong Xuehan Cheng Biao Liu |
author_sort |
Shihong Zhong |
title |
Spatiotemporal dynamics for a diffusive mussel–algae model near a Hopf bifurcation point |
title_short |
Spatiotemporal dynamics for a diffusive mussel–algae model near a Hopf bifurcation point |
title_full |
Spatiotemporal dynamics for a diffusive mussel–algae model near a Hopf bifurcation point |
title_fullStr |
Spatiotemporal dynamics for a diffusive mussel–algae model near a Hopf bifurcation point |
title_full_unstemmed |
Spatiotemporal dynamics for a diffusive mussel–algae model near a Hopf bifurcation point |
title_sort |
spatiotemporal dynamics for a diffusive mussel–algae model near a hopf bifurcation point |
publisher |
SpringerOpen |
series |
Advances in Difference Equations |
issn |
1687-1847 |
publishDate |
2021-03-01 |
description |
Abstract In this paper, the Hopf bifurcation and Turing instability for a mussel–algae model are investigated. Through analysis of the corresponding kinetic system, the existence and stability conditions of the equilibrium and the type of Hopf bifurcation are studied. Via the center manifold and Hopf bifurcation theorem, sufficient conditions for Turing instability in equilibrium and limit cycles are obtained, respectively. In addition, we find that the strip patterns are mainly induced by Turing instability in equilibrium and spot patterns are mainly induced by Turing instability in limit cycles by numerical simulations. These provide a comprehension on the complex pattern formation of a mussel–algae system. |
topic |
Hopf bifurcation Turing instability Spatial pattern Mussel–algae model |
url |
https://doi.org/10.1186/s13662-021-03338-4 |
work_keys_str_mv |
AT shihongzhong spatiotemporaldynamicsforadiffusivemusselalgaemodelnearahopfbifurcationpoint AT xuehancheng spatiotemporaldynamicsforadiffusivemusselalgaemodelnearahopfbifurcationpoint AT biaoliu spatiotemporaldynamicsforadiffusivemusselalgaemodelnearahopfbifurcationpoint |
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1724199766356656128 |