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arXiv 1802.05352math.PR
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Gibbs分拆、Riemann-Liouville分数次算子、Mittag-Leffler函数和由稳定从属子导出的分块

Gibbs Partitions, Riemann-Liouville Fractional Operators, Mittag-Leffler Functions, and Fragmentations Derived From Stable Subordinators

Man-Wai Ho, Lancelot F. James, John W. Lau

摘要:

Pitman(2003)(以及随后的Gnedin和Pitman(2006))表明,从指数$α\in(0,1)$的稳定从属子导出的整数的一大类随机划分具有无限Gibbs(乘积)结构作为特征。最值得注意的情况是来自两参数Poisson-Dirichlet分布的随机划分,$\mathrm{PD}(α,θ)$,这是通过将变量与广义Mittag-Leffler分布混合而引起的,由$\mathrm{ML}(α,θ).$表示。我们在这项工作中的目的是提供更广泛的Gibbs划分类的效用的指示,因为它涉及到Riemann-Liouville分数次积分和大小偏置抽样的研究,分解的特殊函数,其潜在的使用在理解各种建设更奇异的过程。我们提供了与两个嵌套的$\mathrm{PD}(α,θ)$质量划分家族相关的一般定律的新特征,这些质量划分家族分别由Dong,Goldschallow和Martin(2006)和Pitman(1999)中描述的显着碎裂操作构建。已知这些操作在分布上与$[n],$中的离散随机树/图的各种构造及其缩放限制(诸如稳定树)相关。我们的工作的一个核心是结果相关的Mittag-Leffler函数,这在分数微积分中发挥了关键作用,否则拉普拉斯变换的$\mathrm{ML}(α,θ)$变量。值得注意的是,这导致了基于$\mathrm{ML}(α,θ)$变量的混合泊松等待时间框架内对$\mathrm{PD}(α,θ)$定律的解释,这表明与Peköz,Röllin和Ross(2018)最近构建的具有随机移民的Pólya urn模型有关。在布朗的情况下,简化突出。

英文摘要:

Pitman(2003)(and subsequently Gnedin and Pitman (2006) showed that a large class of random partitions of the integers derived from a stable subordinator of index $α\in(0,1)$ have infinite Gibbs (product) structure as a characterizing feature. The most notable case are random partitions derived from the two-parameter Poisson-Dirichlet distribution, $\mathrm{PD}(α,θ)$, which are induced by mixing over variables with generalized Mittag-Leffler distributions, denoted by $\mathrm{ML}(α,θ).$ Our aim in this work is to provide indications on the utility of the wider class of Gibbs partitions as it relates to a study of Riemann-Liouville fractional integrals and size-biased sampling, decompositions of special functions, and its potential use in the understanding of various constructions of more exotic processes. We provide novel characterizations of general laws associated with two nested families of $\mathrm{PD}(α,θ)$ mass partitions that are constructed from notable fragmentation operations described in Dong, Goldschmidt and Martin(2006) and Pitman(1999), respectively. These operations are known to be related in distribution to various constructions of discrete random trees/graphs in $[n],$ and their scaling limits, such as stable trees. A centerpiece of our work are results related to Mittag-Leffler functions, which play a key role in fractional calculus and are otherwise Laplace transforms of the $\mathrm{ML}(α,θ)$ variables. Notably, this leads to an interpretation of $\mathrm{PD}(α,θ)$ laws within a mixed Poisson waiting time framework based on $\mathrm{ML}(α,θ)$ variables, which suggests connections to recent construction of Pólya urn models with random immigration by Peköz, Röllin and Ross(2018). Simplifications in the Brownian case are highlighted.

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