Bound-preserving finite element approximations of the Keller–Segel equations

Santiago Badia, Jesus Bonilla, Juan Vicente Gutierrez-Santacreu
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引用次数: 2

Abstract

This paper aims to develop numerical approximations of the Keller–Segel equations that mimic at the discrete level the lower bounds and the energy law of the continuous problem. We solve these equations for two unknowns: the organism (or cell) density, which is a positive variable, and the chemoattractant density, which is a non-negative variable. We propose two algorithms, which combine a stabilized finite element method and a semi-implicit time integration. The stabilization consists of a nonlinear artificial diffusion that employs a graph-Laplacian operator and a shock detector that localizes local extrema. As a result, both algorithms turn out to be nonlinear and can generate cell and chemoattractant numerical densities fulfilling lower bounds. However, the first algorithm requires a suitable constraint between the space and time discrete parameters, whereas the second one does not. We design the latter to attain a discrete energy law on acute meshes. We report some numerical experiments to validate the theoretical results on blowup and nonblowup phenomena. In the blowup setting, we identify a locking phenomenon that relates the [Formula: see text]-norm to the [Formula: see text]-norm limiting the growth of the singularity when supported on a macroelement.
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Keller-Segel方程的保界有限元逼近
本文旨在建立在离散水平上模拟连续问题下界和能量定律的Keller-Segel方程的数值近似。我们用两个未知数来解这些方程:生物体(或细胞)密度,这是一个正变量,而化学引诱剂密度,这是一个非负变量。我们提出了两种算法,结合稳定有限元法和半隐式时间积分法。该方法包括一个非线性人工扩散算法,该算法采用了一个图拉普拉斯算子和一个局部极值定位的冲击检测器。结果表明,这两种算法都是非线性的,可以生成满足下界的细胞和化学引诱物数值密度。然而,第一种算法需要在空间和时间离散参数之间有合适的约束,而第二种算法则不需要。我们设计后者以获得急性网格上的离散能量律。我们报道了一些数值实验来验证爆炸和不爆炸现象的理论结果。在放大设置中,我们确定了一种锁定现象,该现象将[公式:见文本]规范与[公式:见文本]规范联系起来,当在宏元素上支持时,限制奇点的增长。
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