Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2005-09-09
Phys. Rev. Lett. 96, 144101 (2006)
Nonlinear Sciences
Adaptation and Self-Organizing Systems
accepted for publication in Phys. Rev. Lett
Scientific paper
10.1103/PhysRevLett.96.144101
We present an equation-free computational approach to the study of the coarse-grained dynamics of {\it finite} assemblies of {\it non-identical} coupled oscillators at and near full synchronization. We use coarse-grained observables which account for the (rapidly developing) correlations between phase angles and oscillator natural frequencies. Exploiting short bursts of appropriately initialized detailed simulations, we circumvent the derivation of closures for the long-term dynamics of the assembly statistics.
Ghanem Roger
Kevrekidis Ioannis G.
Moon Sung Joon
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