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 identical oscillators. Without the coupling, they evolve according to the same differential equation, say where denotes the state of oscillator . 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 , a matrix which describes how the oscillators are coupled together, and a function of the state of a single oscillator. Including the coupling leads to the following equation: It is assumed that the row sums 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 to the greatest Lyapunov exponent of the equation The synchronous state of the system of coupled oscillators is stable if the master stability function is negative at where ranges over the eigenvalues of the coupling matrix . (Wikipedia).
Master Determing if a set of points is a Function or Not
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Optimal control of spin systems with applications in (...) - D. Sugny - Workshop 2 - CEB T2 2018
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From playlist Functions #Master
From playlist CPB Theme 2
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From playlist CPB Theme 2
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From playlist Ecole d'été 2021 - Curvature Constraints and Spaces of Metrics
Master How to determine the x and y intercepts of a rational function
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From playlist Rational Functions #Master
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From playlist MIT 6.832 Underactuated Robotics, Spring 2009
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Master Graphing Rational Functions Part 5
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From playlist Rational Functions #Master