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Stabilizing Turing patterns with subdiffusion in systems with low particle numbers - art. no. 036213

机译:在低粒子数的系统中通过弥散来稳定Turing模式-艺术。没有。 036213

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摘要

The role of subdiffusion in the formation of spatial Turing patterns with particle number fluctuations is studied. It is demonstrated for a generic activator-inhibitor system that for normal diffusion the particle number fluctuations stabilize the homogenous steady state in a regime where the mean-field analysis already predicts stable spatial patterns. In contrast, pattern formation is stabilized considerably even for very low particle numbers when the activator moves subdiffusively while the inhibitor diffuses normally. In particular, this also holds true when the subdiffusive activator spreads faster than the inhibitor on small time scales. Possible applications to pattern formation in cell biology are discussed. [References: 20]
机译:研究了子扩散在具有粒子数波动的空间图灵模式形成中的作用。对于一般的活化剂-抑制剂系统,证明了对于正常扩散而言,在均值场分析已经预测出稳定的空间模式的情况下,颗粒数波动会稳定均质的稳态。相反,当活化剂亚扩散移动而抑制剂正常扩散时,即使对于非常低的颗粒数,图案形成也相当稳定。特别地,当在小时间范围内亚扩散活化剂的扩散速度快于抑制剂时,这也适用。讨论了模式形成在细胞生物学中的可能应用。 [参考:20]

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