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| | [[File:KuramotoModelPhaseLocking.ogv|thumb|right|Phase locking in the Kuramoto model|upright=1.1]] | | [[File:KuramotoModelPhaseLocking.ogv|thumb|right|Phase locking in the Kuramoto model|upright=1.1]] |
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| − | In the most popular version of the Kuramoto model, each of the oscillators is considered to have its own intrinsic [[natural frequency]] <math>\omega_i</math>, and each is coupled equally to all other oscillators. Surprisingly, this fully [[Nonlinear system|nonlinear]] model can be solved exactly in the limit of infinite oscillators, ''N''→ ∞;<ref name="Understanding the dynamics of biolo"/> alternatively, using self-consistency arguments one may obtain steady-state solutions of the order parameter.<ref name=Strogatz-2000 />
| + | 在Kuramoto模型最流行的版本中,每个[[振荡器]]都被认为具有其自身的固有[[自然频率]]<math>\omega_i</math>,并且每个振荡器都与其他所有振荡器以相同的方式耦合。惊人的是,这个完全[[非线性系统]]的模型在振荡器数量趋近于无穷大(''N''→ ∞)时可以精确求解;<ref name="Understanding the dynamics of biolo"/>另一种方法是,通过自洽性论证,可以得到[[极大值参数]]的稳态解。<ref name=Strogatz-2000 /> |
| − | The most popular form of the model has the following governing equations:
| + | 该模型最流行的形式具有以下定律方程: |
| − | :<math> \frac{d \theta_i}{d t} = \omega_i + \frac{1}{N} \sum_{j=1}^{N} K_{ij} \sin(\theta_j - \theta_i), \qquad i = 1 \ldots N</math>, | + | :<math> \frac{d \theta_i}{d t} = \omega_i + \frac{1}{N} \sum_{j=1}^{N} K_{ij} \sin(\theta_j - \theta_i), \qquad i = 1 \ldots N</math>, |
| − | where the system is composed of ''N'' limit-cycle oscillators, with phases <math> \theta_i </math> and coupling constant ''K''.
| + | 其中系统由''N''个[[Limit Cycle|极限周期]]振荡器组成,各自具有相位<math> \theta_i </math>和耦合常数''K''。 |
| − | | + | 可以在系统中添加[[噪声]]. 在这种情况下,原方程修改为 |
| − | Noise can be added to the system. In that case, the original equation is altered to
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| | :<math> | | :<math> |
| | \frac{d \theta_i}{d t} = \omega_{i}+\zeta_{i}+\dfrac{K}{N}\sum_{j=1}^N\sin(\theta_{j}-\theta_{i}) | | \frac{d \theta_i}{d t} = \omega_{i}+\zeta_{i}+\dfrac{K}{N}\sum_{j=1}^N\sin(\theta_{j}-\theta_{i}) |
| − | </math>, | + | </math> |
| − | where <math>\zeta_{i}</math> is the fluctuation and a function of time. If the noise is considered to be white noise, then
| + | ,其中<math>\zeta_{i}</math>是[[Fluctuation|波动]],且是时间的函数。如果将噪声视为[[White Noise|白噪声]],则 |
| | :<math> | | :<math> |
| | \langle\zeta_{i}(t)\rangle=0 | | \langle\zeta_{i}(t)\rangle=0 |
| − | </math> , | + | </math> , |
| | :<math> | | :<math> |
| | \langle\zeta_{i}(t)\zeta_{j}(t')\rangle=2D\delta_{ij}\delta(t-t') | | \langle\zeta_{i}(t)\zeta_{j}(t')\rangle=2D\delta_{ij}\delta(t-t') |
| − | </math> | + | </math> |
| − | with <math>D</math> denoting the strength of noise.
| + | 其中<math>D</math>表示噪声的强度。 |
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| | == Transformation == | | == Transformation == |