随机环境和永续中的线性分数阶高尔顿-沃森过程

Q3 Mathematics Stochastics and Quality Control Pub Date : 2021-09-30 DOI:10.1515/eqc-2021-0037
G. Alsmeyer
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引用次数: 2

摘要

随机环境下的线性分数阶Galton-Watson分支过程,通过其线性分数阶边缘的随机参数的演化,在淬冷水平上与随机差分方程密切相关。另一方面,任意随机差分方程定义了一个自回归马尔可夫链(随机仿射递推),它可以是正递推、零递推和瞬态的,并且作为迭代函数系统的正向迭代,在相应的向后迭代给出的正递推情况下有一个as收敛的对应。本说明性文章旨在提供一个明确的观点,如何随机差分方程的这些方面和它们的平稳极限,称为永续性,进入结果和分析,特别是在淬火状态。虽然这里展示的大多数结果都是已知的,但我们希望所提供的观点会受到一些读者的欢迎。
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Linear Fractional Galton–Watson Processes in Random Environment and Perpetuities
Abstract Linear fractional Galton–Watson branching processes in i.i.d. random environment are, on the quenched level, intimately connected to random difference equations by the evolution of the random parameters of their linear fractional marginals. On the other hand, any random difference equation defines an autoregressive Markov chain (a random affine recursion) which can be positive recurrent, null recurrent and transient and which, as the forward iterations of an iterated function system, has an a.s. convergent counterpart in the positive recurrent case given by the corresponding backward iterations. The present expository article aims to provide an explicit view at how these aspects of random difference equations and their stationary limits, called perpetuities, enter into the results and the analysis, especially in quenched regime. Although most of the results presented here are known, we hope that the offered perspective will be welcomed by some readers.
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来源期刊
Stochastics and Quality Control
Stochastics and Quality Control Mathematics-Discrete Mathematics and Combinatorics
CiteScore
1.10
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0.00%
发文量
12
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