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首页> 外文期刊>SIAM Journal on Numerical Analysis >NUMERICAL METHODS FOR ONE-DIMENSIONAL AGGREGATION EQUATIONS
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NUMERICAL METHODS FOR ONE-DIMENSIONAL AGGREGATION EQUATIONS

机译:一维凝聚方程的数值方法

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摘要

We focus in this work on the numerical discretization of the one-dimensional aggregation equation partial derivative(t)rho + partial derivative x(v rho) = 0, v = a(W' * rho), in the attractive case. Finite time blow up of smooth initial data occurs for potential W having a Lipschitz singularity at the origin. A numerical discretization is proposed for which the convergence towards duality solutions of the aggregation equation is proved. It relies on a careful choice of the discretized macroscopic velocity v in order to give a sense to the product v rho. Moreover, using the same idea, we propose an asymptotic preserving scheme for a kinetic system in hyperbolic scaling converging towards the aggregation equation in the hydrodynamic limit. Finally numerical simulations are provided to illustrate the results.
机译:在吸引人的情况下,我们将重点放在一维聚合方程的数值离散化上,即偏导数(t)rho +偏导数x(v rho)= 0,v = a(W'* rho)。对于在原点具有Lipschitz奇点的潜在W,会发生平滑初始数据的有限时间爆炸。提出了一种数值离散化方法,证明了聚合方程对偶解的收敛性。它依赖于离散宏观速度v的谨慎选择,以使乘积v rho有意义。此外,使用相同的思想,我们提出了一个双曲比例缩放动力学系统的渐近保存方案,该方案收敛于流体动力极限中的聚合方程。最后,提供了数值模拟来说明结果。

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