一个改进的可压缩Navier-Stokes系统的渐近逼近

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Ryan N. Goh, C. E. Wayne, R. Welter
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引用次数: 0

摘要

受Hoff和Zumbrun先前工作的启发,我们研究了一个改进的可压缩Navier-Stokes系统的长时间渐近性。我们引入了一种将动量场分解为无旋转和不可压缩部分的新方法,以及用Hermite函数逼近热方程解的新方法。然后,我们得到了mcNS系统解的存在性,并证明了Hermite函数的近似给出了长时间渐近中的前导项,并且在某些假设下可以显式地估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymptotic approximation of a modified compressible Navier-Stokes system
We study the long time asymptotics of a modified compressible Navier-Stokes system (mcNS) inspired by the previous work of Hoff and Zumbrun. We introduce a new decomposition of the momentum field into its irrotational and incompressible parts, and a new method for approximating solutions of the heat equation in terms of Hermite functions in which $n^{th}$ order approximations can be computed for solutions with $n^{th}$ order moments. We then obtain existence of solutions to the mcNS system and show that the approximation in terms of Hermite functions gives the leading order terms in the long-time asymptotics, and under certain assumptions can be evaluated explicitly.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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