Asymptotic behavior of the generalized Derrida-Retaux recursive model

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Li, Zenghu, Zhang, Run
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866916903454244864
author Li, Zenghu
Zhang, Run
author_facet Li, Zenghu
Zhang, Run
contents We study the max-type recursive model introduced by Hu and Shi (J. Stat. Phys., 2018), which generalizes the model of Derrida and Retaux (J. Stat. Phys., 2014). The class of geometric-type marginal distributions is preserved by the model with a geometric offspring distribution. We give some long-time asymptotic expansions of the parameters of the marginal distribution. From the expansions, we derive the asymptotics of the sustainability probability, marginal distribution, first moment and probability generating function.
format Preprint
id arxiv_https___arxiv_org_abs_2411_13068
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Asymptotic behavior of the generalized Derrida-Retaux recursive model
Li, Zenghu
Zhang, Run
Probability
60J05, 82B27
We study the max-type recursive model introduced by Hu and Shi (J. Stat. Phys., 2018), which generalizes the model of Derrida and Retaux (J. Stat. Phys., 2014). The class of geometric-type marginal distributions is preserved by the model with a geometric offspring distribution. We give some long-time asymptotic expansions of the parameters of the marginal distribution. From the expansions, we derive the asymptotics of the sustainability probability, marginal distribution, first moment and probability generating function.
title Asymptotic behavior of the generalized Derrida-Retaux recursive model
topic Probability
60J05, 82B27
url https://arxiv.org/abs/2411.13068