考虑电子-离子碰撞的冷等离子体方程组的高精度求解方法

IF 0.5 4区 数学 Q4 MATHEMATICS, APPLIED
E. V. Chizhonkov, Mariya I. Delova, O. Rozanova
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引用次数: 1

摘要

摘要提出了一种高精度的模拟算法,用于模拟非相对论情况下电子-离子碰撞的冷等离子体振荡。该方法的特点是利用拉格朗日变量近似求解最初用欧拉变量表述的问题。在柯西问题的数值积分中,通过对粒子轨迹的解析解的使用,以及由于解的足够光滑,达到了很高的精度。数值实验清楚地说明了所得到的理论结果。作为一个实际应用,对众所周知的多周期相对论振荡的断裂效应进行了模拟。结果表明,随着碰撞系数的增大,可以观察到破裂过程减慢,直至完全消除。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High precision methods for solving a system of cold plasma equations taking into account electron–ion collisions
Abstract High precision simulation algorithms are proposed and justified for modelling cold plasma oscillations taking into account electron–ion collisions in the non-relativistic case. The specific feature of the approach is the use of Lagrangian variables for approximate solution of the problem formulated initially in Eulerian variables. High accuracy is achieved both through the use of analytical solutions on trajectories of particles and due to sufficient smoothness of the solution in numerical integration of Cauchy problems. Numerical experiments clearly illustrate the obtained theoretical results. As a practical application, a simulation of the well-known breaking effect of multi-period relativistic oscillations is carried out. It is shown that with an increase in the collision coefficient one can observe that the breaking process slows down until it is completely eliminated.
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来源期刊
CiteScore
1.40
自引率
16.70%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Russian Journal of Numerical Analysis and Mathematical Modelling, published bimonthly, provides English translations of selected new original Russian papers on the theoretical aspects of numerical analysis and the application of mathematical methods to simulation and modelling. The editorial board, consisting of the most prominent Russian scientists in numerical analysis and mathematical modelling, selects papers on the basis of their high scientific standard, innovative approach and topical interest. Topics: -numerical analysis- numerical linear algebra- finite element methods for PDEs- iterative methods- Monte-Carlo methods- mathematical modelling and numerical simulation in geophysical hydrodynamics, immunology and medicine, fluid mechanics and electrodynamics, geosciences.
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