Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2005-02-09
Int. J. Bifurcation and Chaos, 16(7) 2043-2052 (2006)
Nonlinear Sciences
Adaptation and Self-Organizing Systems
submitted to the {\it International Journal of Bifurcations and Chaos}
Scientific paper
10.1142/S021812740601588X
We present an equation-free multi-scale approach to the computational study of the collective dynamics of the Kuramoto model [{\it Chemical Oscillations, Waves, and Turbulence}, Springer-Verlag (1984)], a prototype model for coupled oscillator populations. Our study takes place in a reduced phase space of coarse-grained "observables" of the system: the first few moments of the oscillator phase angle distribution. We circumvent the derivation of explicit dynamical equations (approximately) governing the evolution of these coarse-grained macroscopic variables; instead we use the {\it equation-free framework} [Kevrekidis {\it et al.}, {\it Comm. Math. Sci.} {\bf 1}(4), 715 (2003)] to computationally solve these equations without obtaining them in closed form. In this approach, the numerical tasks for the conceptually existing but unavailable coarse-grained equations are implemented through short bursts of appropriately initialized simulations of the "fine-scale", detailed coupled oscillator model. Coarse projective integration and coarse fixed point computations are illustrated.
Kevrekidis Ioannis G.
Moon Sung Joon
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