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arXiv 2402.13705math.PRmath-phmath.MP
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超均匀性与点过程的最优运输

Hyperuniformity and optimal transport of point processes

Université Paris Cité(巴黎西岱大学);Inria Paris(法国国家信息与自动化研究所巴黎分部);Indian Statistical Institute, Bangalore(印度统计学院班加罗尔分校)

Raphaël Lachièze-Rey, D. Yogeshwaran

AI总结:

本文研究了超均匀性对点过程最优运输的影响,证明了大多数平面超均匀点过程是L2扰动晶格,并扩展到三维及以上情况。

摘要:

我们研究了两个平稳随机测度之间的最优匹配或运输。这包括从勒贝格测度到点过程的分配,以及将点过程匹配到一个规则(移位)晶格。文章的主要焦点是超均匀性(点过程中波动方差的降低)对最优运输的影响:在二维情况下,我们证明在弱对数可积性条件下,典型匹配成本具有有限的二阶矩,表明大多数平面超均匀点过程是L2扰动晶格。我们的方法还检索了中性可积系统(如泊松过程)在有限窗口中的已知尖锐界限,并且也适用于超波动系统。进一步,在三维及以上情况下,所有具有可积对称相关测度的点过程都是L2扰动晶格,而无需要求超均匀性。

英文摘要:

We examine optimal matchings or transport between two stationary random measures. It covers allocation from the Lebesgue measure to a point process and matching a point process to a regular (shifted) lattice. The main focus of the article is the impact of hyperuniformity(reduced variance fluctuations in point processes) to optimal transport: in dimension 2, we show that the typical matching cost has finite second moment under a mild logarithmic integrability condition on the reduced pair correlation measure, showing that most planar hyperuniform point processes are L2-perturbed lattices. Our method also retrieves known sharp bounds in finite windows for neutral integrable systems such as Poisson processes, and also applies to hyperfluctuating systems. Further, in three dimensions onwards, all point processes with an integrable pair correlation measure are L2-perturbed lattices without requiring hyperuniformity.

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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