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Master stability function : ウィキペディア英語版
Master stability function

In mathematics, the master stability function is a tool used to analyse the stability of the synchronous state in a dynamical system consisting of many identical oscillators which are coupled together, such as the Kuramoto model.
The setting is as follows. Consider a system with N identical oscillators. Without the coupling, they evolve according to the same differential equation, say \dot_i = f(x_i) where x_i denotes the state of oscillator i . A synchronous state of the system of oscillators is where all the oscillators are in the same state.
The coupling is defined by a coupling strength \sigma , a matrix A_ which describes how the oscillators are coupled together, and a function g of the state of a single oscillator. Including the coupling leads to the following equation:
: \dot_i = f(x_i) + \sigma \sum_^N A_ g(x_j).
It is assumed that the row sums \sum_j A_ vanish so that the manifold of synchronous states is neutrally stable.
The master stability function is now defined as the function which maps the complex number z to the greatest Lyapunov exponent of the equation
: \dot = (Df + \gamma Dg) y.
The synchronous state of the system of coupled oscillators is stable if the master stability function is negative at \sigma \lambda_k where \lambda_k ranges over the eigenvalues of the coupling matrix A .
==References==

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抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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