倒数超模分区统计的渐近性

Jeffrey C. Lagarias, Chenyang Sun
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引用次数: 0

摘要

我们考虑了整数分区集合上的两个乘法统计量:一个分区的规范,即其各部分的乘积;以及一个分区的超规范,即由其各部分 i 索引的素数 \(p_i\)的乘积。我们引入并研究了新的统计量,这些统计量是三个分区统计集合上的超矩阵的倒数之和,它们以大小 \(|\lambda|=n\)、周长等于 n 和最大部分等于 n 来标示。我们证明这三个集合的倒数超矩阵的累积统计量都渐近于 \(e^{\gamma } \log n\) as \(n \rightarrow \infty \)。
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Asymptotics of reciprocal supernorm partition statistics

We consider two multiplicative statistics on the set of integer partitions: the norm of a partition, which is the product of its parts, and the supernorm of a partition, which is the product of the prime numbers \(p_i\) indexed by its parts i. We introduce and study new statistics that are sums of reciprocals of supernorms on three statistical ensembles of partitions, labelled by their size \(|\lambda |=n\), their perimeter equaling n, and their largest part equaling n. We show that the cumulative statistics of the reciprocal supernorm for each of the three ensembles are asymptotic to \(e^{\gamma } \log n\) as \(n \rightarrow \infty \).

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