关于Kostant配分函数的$q$-模拟的渐近性

IF 0.4 Q4 MATHEMATICS, APPLIED Journal of Combinatorics Pub Date : 2019-12-04 DOI:10.4310/joc.2022.v13.n2.a1
P. Harris, Margaret Rahmoeller, Lisa Schneider
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引用次数: 1

摘要

Kostant的配分函数计算了将经典李代数$\mathfrak{g}$的权值表示为$\mathfrak{g}$的正根和的不同方法的个数。我们将这些表达式中的每一个称为权重的分解,我们的主要结果建立了在秩$r$的经典李代数的最高根的分解中正根数的(归一化)分布收敛于一个高斯分布$r\to\infty$。我们将这些结果推广到一个无限的权族,而不考虑李氏类型,为此我们建立了Kostant配分函数的$q$ -模拟的封闭公式,然后证明了当李氏代数的秩趋于无穷时,模拟分布也收敛于高斯分布。最后,对今后的研究方向进行了展望。
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On the asymptotic behavior of the $q$-analog of Kostant's partition function
Kostant's partition function counts the number of distinct ways to express a weight of a classical Lie algebra $\mathfrak{g}$ as a sum of positive roots of $\mathfrak{g}$. We refer to each of these expressions as decompositions of a weight and our main result establishes that the (normalized) distribution of the number of positive roots in the decomposition of the highest root of a classical Lie algebra of rank $r$ converges to a Gaussian distribution as $r\to\infty$. We extend these results to an infinite family of weights, irrespective of Lie type, for which we establish a closed formula for the $q$-analog of Kostant's partition function and then prove that the analogous distribution also converges to a Gaussian distribution as the rank of the Lie algebra goes to infinity. We end our analysis with some directions for future research.
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来源期刊
Journal of Combinatorics
Journal of Combinatorics MATHEMATICS, APPLIED-
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