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On the efficacy of a control volume finite element method for the capture of patterns for a volume-filling chemotaxis model

机译:关于体积填充趋化模型的模式捕获的控制体积有限元方法的功效

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In this paper, a control volume finite element scheme for the capture of spatial patterns for a volume-filling chemotaxis model is proposed and analyzed. The diffusion term, which generally involves an anisotropic and heterogeneous diffusion tensor, is discretized by piece-wise linear conforming triangular finite elements (P1-FEM). The other terms are discretized by means of an upstream finite volume scheme on a dual mesh, where the dual volumes are constructed around the vertices of each element of the original mesh. The scheme ensures the validity of the discrete maximum principle under the assumption that the transmissi-bility coefficients are nonnegative. The convergence analysis is based on the establishment of a priori estimates on the cell density, these estimates lead to some compactness arguments in L~2 based on the use of the Kolmogorov compactness theorem. Finally, we show some numerical results to illustrate the effectiveness of the scheme to capture the pattern formation for the mathematical model.
机译:在本文中,提出并分析了用于体积填充趋化模型的空间图案捕获的控制体积有限元方案。扩散项通常涉及各向异性且非均质的扩散张量,由分段线性一致的三角形有限元(P1-FEM)离散化。其他术语通过双网格上的上游有限体积方案离散化,其中双体积围绕原始网格的每个元素的顶点构造。该方案在传输率系数为非负的假设下确保了离散最大原理的有效性。收敛性分析是基于对细胞密度的先验估计的建立,这些估计基于Kolmogorov紧致性定理的使用而导致L〜2中的一些紧致性论证。最后,我们显示一些数值结果,以说明该方案为数学模型捕获模式形成的有效性。

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