Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function
The master stability function is a powerful tool for determining synchrony in high-dimensional networks of coupled limit cycle oscillators. In part, this approach relies on the analysis of a low-dimensional variational equation around a periodic orbit. For smooth dynamical systems, this orbit is not...
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| Format: | Article |
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Cambridge University Press
2016
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| Online Access: | https://eprints.nottingham.ac.uk/34103/ |
| _version_ | 1848794775244767232 |
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| author | Coombes, Stephen Thul, Ruediger |
| author_facet | Coombes, Stephen Thul, Ruediger |
| author_sort | Coombes, Stephen |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The master stability function is a powerful tool for determining synchrony in high-dimensional networks of coupled limit cycle oscillators. In part, this approach relies on the analysis of a low-dimensional variational equation around a periodic orbit. For smooth dynamical systems, this orbit is not generically available in closed form. However, many models in physics, engineering and biology admit to non-smooth piece-wise linear caricatures, for which it is possible to construct periodic orbits without recourse to numerical evolution of trajectories. A classic example is the McKean model of an excitable system that has been extensively studied in the mathematical neuroscience community. Understandably, the master stability function cannot be immediately applied to networks of such non-smooth elements. Here, we show how to extend the master stability function to non-smooth planar piece-wise linear systems, and in the process demonstrate that considerable insight into network dynamics can be obtained. In illustration, we highlight an inverse period- doubling route to synchrony, under variation in coupling strength, in globally linearly coupled networks for which the node dynamics is poised near a homoclinic bifurcation. Moreover, for a star graph, we establish a mechanism for achieving so-called remote synchronisation (where the hub oscillator does not synchronise with the rest of the network), even when all the oscillators are identical. We contrast this with node dynamics close to a non-smooth Andronov–Hopf bifurcation and also a saddle node bifurcation of limit cycles, for which no such bifurcation of synchrony occurs. |
| first_indexed | 2025-11-14T19:21:33Z |
| format | Article |
| id | nottingham-34103 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:21:33Z |
| publishDate | 2016 |
| publisher | Cambridge University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-341032020-05-04T17:48:18Z https://eprints.nottingham.ac.uk/34103/ Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function Coombes, Stephen Thul, Ruediger The master stability function is a powerful tool for determining synchrony in high-dimensional networks of coupled limit cycle oscillators. In part, this approach relies on the analysis of a low-dimensional variational equation around a periodic orbit. For smooth dynamical systems, this orbit is not generically available in closed form. However, many models in physics, engineering and biology admit to non-smooth piece-wise linear caricatures, for which it is possible to construct periodic orbits without recourse to numerical evolution of trajectories. A classic example is the McKean model of an excitable system that has been extensively studied in the mathematical neuroscience community. Understandably, the master stability function cannot be immediately applied to networks of such non-smooth elements. Here, we show how to extend the master stability function to non-smooth planar piece-wise linear systems, and in the process demonstrate that considerable insight into network dynamics can be obtained. In illustration, we highlight an inverse period- doubling route to synchrony, under variation in coupling strength, in globally linearly coupled networks for which the node dynamics is poised near a homoclinic bifurcation. Moreover, for a star graph, we establish a mechanism for achieving so-called remote synchronisation (where the hub oscillator does not synchronise with the rest of the network), even when all the oscillators are identical. We contrast this with node dynamics close to a non-smooth Andronov–Hopf bifurcation and also a saddle node bifurcation of limit cycles, for which no such bifurcation of synchrony occurs. Cambridge University Press 2016-12-01 Article PeerReviewed Coombes, Stephen and Thul, Ruediger (2016) Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function. European Journal of Applied Mathematics, 27 (6). pp. 904-922. ISSN 1469-4425 General Applied Mathematics Synchronisation Non-Smooth Equations Complex Networks Neural Networks http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=10256500&fileId=S0956792516000115 doi:10.1017/S0956792516000115 doi:10.1017/S0956792516000115 |
| spellingShingle | General Applied Mathematics Synchronisation Non-Smooth Equations Complex Networks Neural Networks Coombes, Stephen Thul, Ruediger Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function |
| title | Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function |
| title_full | Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function |
| title_fullStr | Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function |
| title_full_unstemmed | Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function |
| title_short | Synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function |
| title_sort | synchrony in networks of coupled non-smooth dynamical systems: extending the master stability function |
| topic | General Applied Mathematics Synchronisation Non-Smooth Equations Complex Networks Neural Networks |
| url | https://eprints.nottingham.ac.uk/34103/ https://eprints.nottingham.ac.uk/34103/ https://eprints.nottingham.ac.uk/34103/ |