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arXiv 2301.08602math.PRmath.SP
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双瓮模型的高斯涨落

Gaussian fluctuations for the two urn model

Konrad Kolesko, Ecaterina Sava-Huss

AI总结:

本文研究双瓮广义Pólya瓮模型中球数的渐近行为,证明了适当归一化后的弱收敛性,并揭示相变发生在主特征值的平方根处而非其一半处。

摘要:

我们引入了一种包含两个瓮的广义Pólya瓮模型的变体,并研究了在n次抽取后加入瓮中的给定颜色$j\in\{1,\ldots,J\}$($J\in\mathbb{N}$)的球数$B_j(n)$。我们提供了充分条件,在这些条件下,经过适当归一化和中心化的随机变量$(B_j(n))_{n\in\mathbb{N}}$弱收敛于一个极限随机变量。结果揭示了与经典单瓮情形类似的三分法,其中一个主要区别在于,在我们的标度中出现了1-周期连续函数。与经典瓮模型相比,我们结果的另一个区别是,二阶行为的相变发生在$\sqrtρ$处,而不是在$ρ/2$处,其中$ρ$是平均替换矩阵的主特征值。

英文摘要:

We introduce a modification of the generalized Pólya urn model containing two urns and we study the number of balls $B_j(n)$ of a given color $j\in\{1,\ldots,J\}$, $J\in\mathbb{N}$ added to the urns after $n$ draws. We provide sufficient conditions under which the random variables $(B_j(n))_{n\in\mathbb{N}}$ properly normalized and centered converge weakly to a limiting random variable. The result reveals a similar trichotomy as in the classical case with one urn, one of the main differences being that in the scaling we encounter 1-periodic continuous functions. Another difference in our results compared to the classical urn models is that the phase transition of the second order behavior occurs at $\sqrtρ$ and not at $ρ/2$, where $ρ$ is the dominant eigenvalue of the mean replacement matrix.

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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