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arXiv 0811.2875math.NAcs.NA
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一种用于Vlasov方程数值求解的前向半拉格朗日方法

A Forward semi-Lagrangian Method for the Numerical Solution of the Vlasov Equation

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE(法国国家信息与自动化研究所)

Nicolas Crouseilles, Thomas Respaud, Eric Sonnendrücker

AI总结:

针对Vlasov方程与Poisson方程耦合的非线性等离子体动力学模型,提出一种基于特征线前向积分的半拉格朗日方法,通过将网格节点上的拟粒子沿特征线前向推进并沉积到最近邻节点,实现显式求解并便于构造高阶时间格式。

摘要:

本文研究Vlasov方程的数值求解。该方程给出了等离子体演化的动力学描述,并与Poisson方程耦合以计算自洽电场。耦合模型是非线性的。本文发展了一种新的半拉格朗日方法,基于特征线的前向积分。分布函数在欧拉网格上更新,位于网格节点上的拟粒子沿方程的特征线前向推进一个时间步,并沉积到最近的16个节点上。这是一种在相空间网格上显式求解Vlasov方程的方法,使得发展高阶时间格式比后向方法更容易。

英文摘要:

This work deals with the numerical solution of the Vlasov equation. This equation gives a kinetic description of the evolution of a plasma, and is coupled with Poisson's equation for the computation of the self-consistent electric field. The coupled model is non linear. A new semi-Lagrangian method, based on forward integration of the characteristics, is developed. The distribution function is updated on an eulerian grid, and the pseudo-particles located on the mesh's nodes follow the characteristics of the equation forward for one time step, and are deposited on the 16 nearest nodes. This is an explicit way of solving the Vlasov equation on a grid of the phase space, which makes it easier to develop high order time schemes than the backward method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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