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arXiv math-ph/0305043math-phmath.MPmath.RT
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随机划分和Gamma核

Random partitions and the Gamma kernel

Alexei Borodin, Grigori Olshanski

摘要:

我们研究了在两种不同的制度下的分区(所谓的z-措施和他们的亲属)的某些措施的渐近性:附近的对角线相应的杨氏图和在中间区之间的对角线和边缘的杨氏图。我们证明了在这两种情况下,极限关联函数具有行列式形式,其关联核依赖于两个实参数。在第一种情况下,相关核是离散的,并且它具有根据伽马函数的简单表达式。在第二种情况下,相关核是连续的,并且是线性不变的,并且它可以被写为两个适当缩放的双曲正弦的比率。

英文摘要:

We study the asymptotics of certain measures on partitions (the so-called z-measures and their relatives) in two different regimes: near the diagonal of the corresponding Young diagram and in the intermediate zone between the diagonal and the edge of the Young diagram. We prove that in both cases the limit correlation functions have determinantal form with a correlation kernel which depends on two real parameters. In the first case the correlation kernel is discrete, and it has a simple expression in terms of the gamma functions. In the second case the correlation kernel is continuous and translationally invariant, and it can be a written as a ratio of two suitably scaled hyperbolic sines.

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