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arXiv 2012.10521math.AP
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具有对数灵敏度和Logistic增长的趋化性PDE模型

A PDE model for chemotaxis with logarithmic sensitivity and logistic growth

Padi Fuster Aguilera, Vincent R. Martinez, Kyle Kun Zhao

摘要:

本文研究了具有对数灵敏度和Logistic增长的排斥趋化模型的初边值问题及其渐近性态。在Neumann边界条件下,我们建立了大初始数据下的强解的整体适定性,并建立了种群密度和化学浓度均渐近收敛于常数状态,且种群密度收敛于其承载能力的定性结果.我们还证明了消失的化学扩散极限在这个政权。最后,我们提供了严格的定性结果的数值确认,以及数值模拟,证明了尺度分离的现象。

英文摘要:

In this paper, we study the initial-boundary value problem and its asymptotic behavior for a repulsive chemotaxis model with logarithmic sensitivity and logistic growth. We establish global well-posedness of strong solutions for large initial data with Neumann boundary conditions and, moreover, establish the qualitative result that both the population density and chemical concentration asymptotically converge to constant states with the population density specifically converging to its carrying capacity. We additionally prove that the vanishing chemical diffusivity limit holds in this regime. Lastly, we provide numerical confirmation of the rigorous qualitative results, as well as numerical simulations that demonstrate a separation of scales phenomenon.

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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