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arXiv math-ph/0508042math-phmath.MPmath.PR
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关于向均衡分布收敛的问题I.带混合项的Klein-Gordon方程

On Convergence to Equilibrium Distribution, I. The Klein - Gordon Equation with Mixing

T. V. Dudnikova, A. I. Komech, E. A. Kopylova, Yu. M. Suhov

摘要:

考虑$\R^n$,$n\ge 2$中的Klein-Gordon方程(KGE),具有常数或可变系数。我们研究了随机解在时间$t\in\R$的分布$μ_t$。我们假设初始概率测度$μ_0$具有零均值、一个不变量协方差和一个有限均值能量密度。我们还假设$μ_0$满足Rosenblatt型或Rosgimov-Linnik型混合条件。主要结果是$μ_t$收敛到高斯概率测度为$t\to\infty$,它给出了KGE的中心极限定理。常系数的情况下的证明是基于在傅立叶表示和伯恩斯坦的'房间走廊'的论点的解决方案的长时间渐近分析。变系数的情况下,治疗使用的"平均"版本的散射理论的无限能量的解决方案,根据Vainberg的结果,当地的能量衰减。

英文摘要:

Consider the Klein-Gordon equation (KGE) in $\R^n$, $n\ge 2$, with constant or variable coefficients. We study the distribution $μ_t$ of the random solution at time $t\in\R$. We assume that the initial probability measure $μ_0$ has zero mean, a translation-invariant covariance, and a finite mean energy density. We also asume that $μ_0$ satisfies a Rosenblatt- or Ibragimov-Linnik-type mixing condition. The main result is the convergence of $μ_t$ to a Gaussian probability measure as $t\to\infty$ which gives a Central Limit Theorem for the KGE. The proof for the case of constant coefficients is based on an analysis of long time asymptotics of the solution in the Fourier representation and Bernstein's `room-corridor' argument. The case of variable coefficients is treated by using an `averaged' version of the scattering theory for infinite energy solutions, based on Vainberg's results on local energy decay.

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