集中初始数据从Hartree到Vlasov方程的全局半经典极限

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2021-11-01 DOI:10.1016/j.anihpc.2021.01.004
Laurent Lafleche
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引用次数: 17

摘要

我们证明了d≥3维的奇异相互作用势,包括d=3维的库仑奇点的情况下,从Hartree到Vlasov方程的一个定量的、全局的时间半经典极限。这个结果适用于初始数据足够集中的情况,因为某些空间矩最初足够小。作为一个中间结果,我们还得到了偶数阶空间和速度矩的定量界限,以及由于色散效应而导致的空间密度的渐近行为,在普朗克常数中是均匀的。
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Global semiclassical limit from Hartree to Vlasov equation for concentrated initial data

We prove a quantitative and global in time semiclassical limit from the Hartree to the Vlasov equation in the case of a singular interaction potential in dimension d3, including the case of a Coulomb singularity in dimension d=3. This result holds for initial data concentrated enough in the sense that some space moments are initially sufficiently small. As an intermediate result, we also obtain quantitative bounds on the space and velocity moments of even order and the asymptotic behavior of the spatial density due to dispersion effects, uniform in the Planck constant ħ.

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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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