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arXiv 0807.1230nlin.PSnlin.AO
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网络上的图灵模式

Turing patterns on networks

Hiroya Nakao, Alexander S. Mikhailov

摘要:

图灵模式所形成的网络上的激活抑制剂系统被认为是。线性稳定性分析表明,当抑制剂扩散速度比激活剂快时,一般会发生图灵不稳定性。数值模拟,使用无标度随机网络上的捕食者-捕食者模型,表明最终的,渐近达到图灵模式可以在很大程度上不同于临界模式在不稳定的发病,和多稳定性和滞后通常观察。构造了网络上非线性图灵模式的近似平均场论。

英文摘要:

Turing patterns formed by activator-inhibitor systems on networks are considered. The linear stability analysis shows that the Turing instability generally occurs when the inhibitor diffuses sufficiently faster than the activator. Numerical simulations, using a prey-predator model on a scale-free random network, demonstrate that the final, asymptotically reached Turing patterns can be largely different from the critical modes at the onset of instability, and multistability and hysteresis are typically observed. An approximate mean-field theory of nonlinear Turing patterns on the networks is constructed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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