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arXiv 1708.03054math.PRmath.CO
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噪声敏感性和Voronoi渗流

Noise sensitivity and Voronoi percolation

Daniel Ahlberg, Rangel Baldasso

摘要:

本文研究了$\mathbb{R}^2$上Poisson Voronoi渗流的噪声敏感性和阈值现象。在布尔函数的设置中,阈值现象和噪声敏感性都可以通过研究随机化算法来理解。连同一个简单的离散化参数,这样的技术也适用于连续设置。通过对算法的研究,我们证明了Voronoi逾渗中的越盒事件是噪声敏感的,并且在多项式窗口下呈现阈值现象。我们还研究了其他类型的扰动的影响,并强调了这样一个事实,即我们使用的技术适用于广泛的模型。

英文摘要:

In this paper we study noise sensitivity and threshold phenomena for Poisson Voronoi percolation on $\mathbb{R}^2$. In the setting of Boolean functions, both threshold phenomena and noise sensitivity can be understood via the study of randomized algorithms. Together with a simple discretization argument, such techniques apply also to the continuum setting. Via the study of a suitable algorithm we show that box-crossing events in Voronoi percolation are noise sensitive and present a threshold phenomenon with polynomial window. We also study the effect of other kinds of perturbations, and emphasize the fact that the techniques we use apply for a broad range of models.

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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