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The Relevance of Cross-diffusion in the Formation of Turing Patterns

机译:交叉扩散与图灵模式形成的相关性

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Over the years, the Rosenzweig-MacArthur (RM) model has been used to study simple prey-predator systems. It has been observed, however, that the RM model cannot sustain Turing patterns when using a diagonal diffusion tensor. As a result, researchers have introduced changes to the RM model that induce stable Turing patterns. In most cases, the changes have been made to the so-called response function, changing the interspecies interaction, or by adding an intraspecies interaction to the model. In this communication, we study the original RM model but we include cross-diffusion, which considers off diagonal elements in the diffusion tensor. Although cross-diffusion is well characterized in multicomponent solutions, including electrolytes, it has an apparent counterintuitive meaning in predator-prey systems. We observe, however, that in plant and fish systems, the lack of predator mobility is compensated by their ability to camouflage and attract their prey, which yields a negative cross-diffusion coefficient. We show that negative cross-diffusion is enough to trigger stable Turing patterns in the RM model.
机译:多年来,Rosnzweig-MacArthur(RM)模型已用于研究简单的捕食系统。然而,已经观察到,当使用对角扩散张量时,RM模型不能维持图灵模式。结果,研究人员对RM模型进行了更改,从而引入了稳定的图灵模式。在大多数情况下,已对所谓的响应函数进行了更改,更改了种间交互作用或通过向模型添加了种内交互作用。在此交流中,我们研究了原始的RM模型,但其中包括交叉扩散,该交叉扩散考虑了扩散张量中的对角元素。尽管交叉扩散在包括电解质在内的多组分溶液中得到了很好的表征,但在捕食者-被捕食者系统中它具有明显的反直觉含义。但是,我们观察到,在植物和鱼类系统中,捕食者活动性的不足被其伪装和吸引猎物的能力所弥补,这产生了负的交叉扩散系数。我们表明负的交叉扩散足以触发RM模型中的稳定图灵模式。

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