arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1706.09568math.NAcs.NA
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针对具有奇异极限的动能模型的渐近保持方案

An asymptotic preserving scheme for kinetic models with singular limit

North Carolina State University(北卡罗来纳州立大学);Rice University(莱斯大学);University of California, Los Angeles(加州大学洛杉矶分校)

Alina Chertock, Changhui Tan, Bokai Yan

AI总结:

本文提出了一类新的渐近保持方案,用于求解具有单动能奇异极限的动能方程,通过速度变换处理奇异性和生物相关动能系统,证明了缩放后的解无奇异极限,并通过数值实验验证了方案的准确性、稳定性、效率和渐近保持性。

摘要:

我们提出了一类新的渐近保持方案,用于求解具有单动能奇异极限的动能方程。主要思想是通过适当的速度缩放变换来处理奇异性和生物相关的动能系统。我们推导了缩放因子,并证明在适当的空问非振荡假设下,缩放后的解不具有奇异极限,该结论可通过新开发的渐近保持方案进行数值验证。我们进行了几项数值实验,以展示这些方案的准确性、稳定性、效率和渐近保持性。

英文摘要:

We propose a new class of asymptotic preserving schemes to solve kinetic equations with mono-kinetic singular limit. The main idea to deal with the singularity is to transform the equations by appropriate scalings in velocity. In particular, we study two biologically related kinetic systems. We derive the scaling factors and prove that the rescaled solution does not have a singular limit, under appropriate spatial non-oscillatory assumptions, which can be verified numerically by a newly developed asymptotic preserving scheme. We set up a few numerical experiments to demonstrate the accuracy, stability, efficiency and asymptotic preserving property of the schemes.

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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