Existence of bounded solutions to multiplicative Poisson equations under mixing property

Marcin Pitera, Łukasz Stettner
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Abstract

We study the problem of Multiplicative Poisson Equation (MPE) bounded solution existence in a generic probabilistic discrete-time setup with preimposed mixing. In particular, we consolidate results based on the span-contraction framework and derive an explicit sharp bound that must be imposed on the cost function to guarantee the existence of a bounded MPE solution under mixing. Also, we study properties that the probability kernel must satisfy to ensure the existence of an MPE solution for any generic risk-reward function and characterise process behaviour in the complement of the invariant measure support. Finally, we present numerous examples and stochastic dominance based arguments that help to better understand the problems that arise when the mean is replaced by the entropy in the ergodic setup.
混合特性下乘法泊松方程有界解的存在性
我们研究了一般概率离散时间设置中带有预设混合的乘法泊松方程(MPE)有界解存在性问题。特别是,我们巩固了基于跨度收缩框架的结果,并推导出一个明确的尖锐约束,该约束必须施加在成本函数上,以保证混合下有界 MPE 解的存在。此外,我们还研究了概率核必须满足的属性,以确保任何通用风险回报函数的 MPE 解的存在,并描述了不变度量支持补码中的过程行为。最后,我们提出了大量实例和基于随机支配的论证,有助于更好地理解在遍历设置中用熵代替均值时出现的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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