分数概率空间的收敛性和0-1 Kolmogorov定理

IF 0.1 Q4 MATHEMATICS
A. Zendehdel, Parisa Ahmadi Ghotbi
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引用次数: 0

摘要

在本研究中,我们定义了分数随机变量。研究了分数阶概率论的收敛性、几乎必然收敛性的概念,并给出了一些相关的定理和例子,目的是将分数阶概率论扩展到与经典概率论平行的领域。证明了分数阶概率空间的收敛几乎肯定不会导致分数阶概率空间的收敛。讨论了分数阶概率论的一些有价值的特征,如分数阶概率论中的柯西函数。证明了分数阶随机变量在分数阶概率上是柯西的情况下收敛于分数阶概率。最后,在分数阶概率空间中证明了著名的0-1 Kolmogorov定理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convergence in fractional probability space and 0-1 Kolmogorov theorem
Abstract In this study, we define the fractional random variable. The concept of convergence in fractional probability, almost surely convergence and some related theorems and examples are studied with the purpose of expanding the fractional probability theory parallel to the classical one. It is shown that almost surely convergence in the fractional probability space does not lead to the convergence in fractional probability. And, some valuable features related to fractional probability theory such as Cauchy function in fractional probability are discussed. We proved that a fractional random variable converges in fractional probability if it is Cauchy in fractional probability. Finally, the well-known 0-1 Kolmogorov theorem is proved in a fractional probability space.
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