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arXiv math-ph/0508048math-phmath.MP
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关于Dirac方程到统计平衡点的收敛性

On the Convergence to a Statistical Equilibrium for the Dirac Equation

T. V. Dudnikova, A. I. Komech, N. J. Mauser

摘要:

本文研究了$\R^3$中的常系数Dirac方程,研究了随机解在时间$μ_t$上的分布.假设初始测量值$μ_0$具有零均值、不变性协方差和有限均值电荷密度。我们还假设$μ_0$满足Rosenblatt型或Rosengimov-Linnik型混合条件。主要结果是$μ_t$收敛到高斯测度为$t\to\infty$。证明利用了解的长时间渐近性和S. N.伯恩斯坦的“房间走廊”方法。

英文摘要:

We consider the Dirac equation in $\R^3$ with constant coefficients and study the distribution $μ_t$ of the random solution at time $t\in\R$. It is assumed that the initial measure $μ_0$ has zero mean, a translation-invariant covariance, and finite mean charge density. We also assume that $μ_0$ satisfies a mixing condition of Rosenblatt- or Ibragimov-Linnik-type. The main result is the convergence of $μ_t$ to a Gaussian measure as $t\to\infty$. The proof uses the study of long time asymptotics of the solution and S.N. Bernstein's ``room-corridor'' method.

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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