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Numerical simulations for the chemotaxis models on surfaces via a novel characteristic finite element method

机译:新型特征有限元方法对表面趋化性模型的数值模拟

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In this paper, the chemotaxis partial differential equations models which describe the movement by one community in reaction to one chemical or biological signal are given and solved numerically on surfaces. The models and the numerical method concerned are in terms of a generic form of chemotaxis models. We develop a new semi-implicit finite element scheme based on the gradient and Laplacian recoveries to linearize the equations. Meanwhile, we modify the proposed semi-implicit scheme as a characteristic form and present a novel strategy for the discretization of characteristic derivative on surface. The lumped mass modification is employed for positivity preservation. And the related analysis results are provided. We investigate the accuracy and convergence of the proposed method by numerical tests. And the simulations of blowing-up solution, pattern formulations and aggregations of bacteria demonstrate the applicability of the proposed methods. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提出了趋化性偏微分方程模型,该模型描述了一个群落对一种化学或生物信号的反应所产生的运动,并在表面上进行了数值求解。有关的模型和数值方法是根据趋化性模型的一般形式。我们基于梯度和Laplacian恢复率开发了一种新的半隐式有限元方案,以线性化方程。同时,我们将提出的半隐式方案修改为特征形式,并提出了一种新的离散化特征导数的策略。集总质量修改用于阳性保存。并提供了相关的分析结果。我们通过数值试验研究了该方法的准确性和收敛性。炸药溶液,模式配方和细菌聚集的模拟证明了所提出方法的适用性。 (C)2019 Elsevier Ltd.保留所有权利。

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