Finite ergodic components for upper probabilities

Fuente: arXiv
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Hauptverfasser: Feng, Chunrong, Huang, Wen, Liu, Chunlin, Zhao, Huaizhong
Format: Preprint
Veröffentlicht: 2024
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author Feng, Chunrong
Huang, Wen
Liu, Chunlin
Zhao, Huaizhong
author_facet Feng, Chunrong
Huang, Wen
Liu, Chunlin
Zhao, Huaizhong
contents Under the notion of ergodicity of upper probability in the sense of Feng and Zhao (2021) that any invariant set either has capacity $0$ or its complement has capacity 0, we introduce the definition of finite ergodic components (FEC). We prove an invariant upper probability has FEC if and only if it is in the regime that any invariant set has either capacity $0$ or capacity $1$, proposed by Cerreia-Vioglio, Maccheroni, and Marinacci (2016). Furthermore, this is also equivalent to that the eigenvalue $1$ of the Koopman operator is of finite multiplicity, while in the ergodic upper probability regime, as in the classical ergodic probability case, the eigenvalue $1$ of the Koopman operator is simple. Additionally, we obtain the equivalence of the law of large numbers with multiple values, the asymptotic independence and the FEC. Furthermore, we apply these to obtain the corresponding results for non-invariant probabilities.
format Preprint
id arxiv_https___arxiv_org_abs_2411_02030
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Finite ergodic components for upper probabilities
Feng, Chunrong
Huang, Wen
Liu, Chunlin
Zhao, Huaizhong
Probability
Dynamical Systems
Under the notion of ergodicity of upper probability in the sense of Feng and Zhao (2021) that any invariant set either has capacity $0$ or its complement has capacity 0, we introduce the definition of finite ergodic components (FEC). We prove an invariant upper probability has FEC if and only if it is in the regime that any invariant set has either capacity $0$ or capacity $1$, proposed by Cerreia-Vioglio, Maccheroni, and Marinacci (2016). Furthermore, this is also equivalent to that the eigenvalue $1$ of the Koopman operator is of finite multiplicity, while in the ergodic upper probability regime, as in the classical ergodic probability case, the eigenvalue $1$ of the Koopman operator is simple. Additionally, we obtain the equivalence of the law of large numbers with multiple values, the asymptotic independence and the FEC. Furthermore, we apply these to obtain the corresponding results for non-invariant probabilities.
title Finite ergodic components for upper probabilities
topic Probability
Dynamical Systems
url https://arxiv.org/abs/2411.02030