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首页> 外文期刊>Journal of Mathematical Biology >From short-range repulsion to Hele-Shaw problem in a model of tumor growth
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From short-range repulsion to Hele-Shaw problem in a model of tumor growth

机译:从肿瘤生长模型中对疏松沉淀问题的短程排斥

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摘要

We investigate the large time behavior of an agent based model describing tumor growth. The microscopic model combines short-range repulsion and cell division. As the number of cells increases exponentially in time, the microscopic model is challenging in terms of computational time. To overcome this problem, we aim at deriving the associated macroscopic dynamics leading here to a porous media type equation. As we are interested in the long time behavior of the dynamics, the macroscopic equation obtained through usual derivation method fails at providing the correct qualitative behavior (e.g. stationary states differ from the microscopic dynamics). We propose a modified version of the macroscopic equation introducing a density threshold for the repulsion. We numerically validate the new formulation by comparing the solutions of the micro- and macro- dynamics. Moreover, we study the asymptotic behavior of the dynamics as the repulsion between cells becomes singular (leading to non-overlapping constraints in the microscopic model). We manage to show formally that such asymptotic limit leads to a Hele-Shaw type problem for the macroscopic dynamics. We compare the micro- and macro- dynamics in this asymptotic limit using explicit solutions of the Hele-Shaw problem (e.g. radially symmetric configuration). The numerical simulations reveal an excellent agreement between the two descriptions, validating the formal derivation of the macroscopic model. The macroscopic model derived in this paper therefore enables to overcome the problem of large computational time raised by the microscopic model, but stays closely linked to the microscopic dynamics.
机译:我们调查基于代理的模型的大型时间行为描述肿瘤生长。微观模型结合了短程排斥和细胞分裂。随着细胞的数量在时间呈指数上增加,微观模型在计算时间方面具有具有挑战性。为了克服这个问题,我们的目的是导出在这里导致的相关宏观动态到多孔介质类型方程。随着我们对动态的长时间行为感兴趣的,通过通常推导方法获得的宏观方程在提供正确的定性行为时失败(例如,静止状态与微观动态不同)。我们提出了一种修改版本的宏观方程,引入了排斥的密度阈值。我们通过比较微型和宏动态的解决方案来数值验证新的配方。此外,我们研究动力学的渐近行为,因为细胞之间的排斥变为奇异(导致微观模型中的非重叠约束)。我们设法正式表现出这种渐近极限导致宏观动力学的Hel-Shaw类型问题。我们使用Hele-Shaw问题的明确解数值模拟揭示了两种描述之间的良好一致性,验证了宏观模型的正式推导。因此,本文得出的宏观模型使得能够克服微观模型提出的大型计算时间的问题,而是与微观动态密切相关。

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