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arXiv 2101.08037math.AP
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细菌趋化聚集的内部动力学效应

Effects of internal dynamics on chemotactic aggregation of bacteria

Shugo Yasuda

摘要:

基于两流动力学输运方程和细菌产生的化学引诱物的反应扩散方程,通过Monte Carlo(MC)模拟研究了趋化性细菌自组织聚集的内部适应动力学效应.一个显着的发现是一个非单调的行为的峰值聚集密度相对于适应时间,更具体地说,聚集是最增强的适应时间是可比的或适度大于细菌的平均运行时间。另一个奇怪的观察是在非常大的适应时间发生的梯形聚集分布的形成,其中由于翻滚频率调制的有界性,单个细胞的偏置运动在平台区受到相当大的阻碍。动力学输运系统的渐近分析也进行了,并得到一个新的渐近方程在大的适应时间制度,而Keller-Segel型方程时,得到的适应时间是温和的。与MC结果的渐近方程的数值比较表明,梯形聚集是很好地描述了新的渐近方程,和峰值聚集密度的非单调行为被解释为不同的适应时间制度之间的渐近解的瞬态。

英文摘要:

The effects of internal adaptation dynamics on the self-organized aggregation of chemotactic bacteria are investigated by Monte Carlo (MC) simulations based on a two-stream kinetic transport equation coupled with a reaction-diffusion equation of the chemoattractant that bacteria produce. A remarkable finding is a nonmonotonic behavior of the peak aggregation density with respect to the adaptation time; more specifically, aggregation is the most enhanced when the adaptation time is comparable to or moderately larger than the mean run time of bacteria. Another curious observation is the formation of a trapezoidal aggregation profile occurring at a very large adaptation time, where the biased motion of individual cells is rather hindered at the plateau regimes due to the boundedness of the tumbling frequency modulation. Asymptotic analysis of the kinetic transport system is also carried out, and a novel asymptotic equation is obtained at the large adaptation-time regime while the Keller-Segel type equations are obtained when the adaptation time is moderate. Numerical comparison of the asymptotic equations with MC results clarifies that trapezoidal aggregation is well described by the novel asymptotic equation, and the nonmonotonic behavior of the peak aggregation density is interpreted as the transient of the asymptotic solutions between different adaptation time regimes.

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