Nonlinear analogue of the May-Wigner instability transition.

Proc Natl Acad Sci U S A

School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom

Published: June 2016

We study a system of [Formula: see text] degrees of freedom coupled via a smooth homogeneous Gaussian vector field with both gradient and divergence-free components. In the absence of coupling, the system is exponentially relaxing to an equilibrium with rate μ We show that, while increasing the ratio of the coupling strength to the relaxation rate, the system experiences an abrupt transition from a topologically trivial phase portrait with a single equilibrium into a topologically nontrivial regime characterized by an exponential number of equilibria, the vast majority of which are expected to be unstable. It is suggested that this picture provides a global view on the nature of the May-Wigner instability transition originally discovered by local linear stability analysis.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922160PMC
http://dx.doi.org/10.1073/pnas.1601136113DOI Listing

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Nonlinear analogue of the May-Wigner instability transition.

Proc Natl Acad Sci U S A

June 2016

School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom

We study a system of [Formula: see text] degrees of freedom coupled via a smooth homogeneous Gaussian vector field with both gradient and divergence-free components. In the absence of coupling, the system is exponentially relaxing to an equilibrium with rate μ We show that, while increasing the ratio of the coupling strength to the relaxation rate, the system experiences an abrupt transition from a topologically trivial phase portrait with a single equilibrium into a topologically nontrivial regime characterized by an exponential number of equilibria, the vast majority of which are expected to be unstable. It is suggested that this picture provides a global view on the nature of the May-Wigner instability transition originally discovered by local linear stability analysis.

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