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{x}_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_{ij} 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{x}_i = f(x_i) + \sigma \sum_{j=1}^N A_{ij} g(x_j).

It is assumed that the row sums  \sum_j A_{ij} 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{y} = (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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