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首页> 外文期刊>International journal of bifurcation and chaos in applied sciences and engineering >Pattern Formation in Keller-Segel Chemotaxis Models with Logistic Growth
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Pattern Formation in Keller-Segel Chemotaxis Models with Logistic Growth

机译:具有逻辑增长的Keller-Segel趋化模型中的模式形成

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摘要

In this paper, we investigate pattern formation in Keller-Segel chemotaxis models over a multidimensional bounded domain subject to homogeneous Neumann boundary conditions. It is shown that the positive homogeneous steady state loses its stability as chemoattraction rate. increases. Then using Crandall-Rabinowitz local theory with. being the bifurcation parameter, we obtain the existence of nonhomogeneous steady states of the system which bifurcate from this homogeneous steady state. Stability of the bifurcating solutions is also established through rigorous and detailed calculations. Our results provide a selection mechanism of stable wavemode which states that the only stable bifurcation branch must have a wavemode number that minimizes the bifurcation value. Finally, we perform extensive numerical simulations on the formation of stable steady states with striking structures such as boundary spikes, interior spikes, stripes, etc. These nontrivial patterns can model cellular aggregation that develop through chemotactic movements in biological systems.
机译:在本文中,我们研究在均质Neumann边界条件下的多维有界域上的Keller-Segel趋化模型中的模式形成。结果表明,正均质稳态失去了趋化速率的稳定性。增加。然后用Crandall-Rabinowitz结合局部理论。作为分叉参数,我们获得系统的非均匀稳态的存在,该非均匀稳态从该均匀稳态分叉。分叉解决方案的稳定性也通过严格而详细的计算来确定。我们的结果提供了稳定波模的选择机制,该机制指出唯一稳定的分叉支路必须具有使分叉值最小的波模数。最后,我们对具有稳定结构(例如边界尖峰,内部尖峰,条纹等)的稳定稳态的形成进行了广泛的数值模拟。这些非平凡的模式可以模拟通过生物系统中趋化运动发展的细胞聚集。

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