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arXiv 1912.02492math.PRmath-phmath.MP
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随机风树过程的不变原理

Invariance Principle for the Random Wind-Tree Process

Christopher Lutsko, Bálint Tóth

摘要:

考虑一个点粒子通过一个泊松分布的立方体阵列,所有立方体都沿轴方向移动-Escherfest-Escherfest(1912)中引入的随机风树模型。我们表明,在联合Boltzmann-Grad和扩散极限,这个过程满足不变原理。也就是说,该过程在特定的标度极限下在分布上收敛于布朗运动。在之前的一篇论文(2019)中,作者使用了一种新的耦合方法来证明具有球形散射体的随机洛伦兹气体的相同陈述。在本文中,我们表明,尽管在动态的变化,相同的策略与一些修改可以用来证明一个不变原理的随机风树模型。

英文摘要:

Consider a point particle moving through a Poisson distributed array of cubes all oriented along the axes - the random wind-tree model introduced in Ehrenfest-Ehrenfest (1912). We show that, in the joint Boltzmann-Grad and diffusive limit this process satisfies an invariance principle. That is, the process converges in distribution to a Brownian motion in a particular scaling limit. In a previous paper (2019) the authors used a novel coupling method to prove the same statement for the random Lorentz gas with spherical scatterers. In this paper we show that, despite the change in dynamics, the same strategy with some modification can be used to prove an invariance principle for the random wind-tree model.

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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