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arXiv 2205.04513math-phmath.MP
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推导 Vlasov 方程的多体 Schrödinger 动力学双粒子约化密度矩阵的混合范数估计

A mixed-norm estimate of the two-particle reduced density matrix of many-body Schrödinger dynamics for deriving the Vlasov equation

Li Chen, Jinyeop Lee, Yue Li, Matthew Liew

AI总结:

本文基于 Husimi 测度框架重新审视了 $N$ 体费米子 Schrödinger 方程的半经典与平均场联合极限,通过双粒子约化密度矩阵的混合范数估计,改进了动能与平均场残差的估计,并更新了振荡估计。

摘要:

我们使用 Husimi 测度框架重新审视了具有纯态初始数据的 $N$ 体费米子 Schrödinger 方程中半经典和平均场极限的联合问题。Husimi 测度方程包含三类残差:动能残差、半经典残差和平均场残差。本文的主要成果是为动能残差和平均场残差提供了优于 \cite{Chen2021JSP} 的估计。特别地,通过对双粒子约化密度矩阵分解进行混合范数估计,证明了平均场残差的估计值小于半经典残差。我们的分析还更新了 \cite{Chen2021JSP} 中残差项估计里的振荡估计部分。

英文摘要:

We re-examine the combined semi-classical and mean-field limit in the $N$-body fermionic Schrödinger equation with pure state initial data using the Husimi measure framework. The Husimi measure equation involves three residue types: kinetic, semiclassical, and mean-field. The main result of this paper is to provide better estimates for the kinetic and mean-field residue than those in \cite{Chen2021JSP}. Especially, the estimate for the mean-field residue is shown to be smaller than the semiclassical residue by a mixed-norm estimate of the two-particle reduced density matrix factorization. Our analysis also updates the oscillation estimate parts in the residual term estimates appeared in \cite{Chen2021JSP}.

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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