Derrida-Retaux type models and related scaling limit theorems
Zenghu Li, Run Zhang

TL;DR
This paper characterizes the transition semigroup and generator of a continuous-time Derrida-Retaux type process, demonstrating its emergence as a scaling limit of discrete max-type recursive models, thus advancing understanding of these stochastic processes.
Contribution
It provides a new characterization of the continuous-time Derrida-Retaux process and links it to discrete models through scaling limits, extending prior work.
Findings
Characterization of the transition semigroup and generator of the process
Establishment of the process as a scaling limit of discrete models
Connection between continuous and discrete Derrida-Retaux models
Abstract
We give characterizations of the transition semigroup and generator of a continuous-time Derrida--Retaux type process that generalizes the one introduced by Hu, Mallein and Pain (Commun. Math. Phys., 2020). It is shown that the process arises naturally as the scaling limit of the discrete-time max-type recursive models introduced by Hu and Shi (J. Stat. Phys., 2018).
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Statistical Distribution Estimation and Applications · Probability and Risk Models
