Loewner theory for Bernstein functions II: Applications to inhomogeneous continuous-state branching processes

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Authors: Pavel Gumenyuk, Takahiro Hasebe, José Luis Pérez
Cited by: 1
References: 47

Abstract

This paper continues the research project launched in [Constr. Approx. (2025) https://doi.org/10.1007/s00365-023-09675-9] and aimed at studying time-inhomogeneous one-dimensional branching processes (mainly on a continuous but also on a discrete state space) with the help of recent achievements in Loewner Theory dealing with evolution families of holomorphic self-maps in simply connected domains of the complex plane. Under a suitable stochastic continuity condition, we show that the families of the Laplace exponents of branching processes on$~[0,\infty]$ can be characterized as topological (i.e. depending continuously on the time parameters) reverse evolution families whose elements are Bernstein functions. For the case of a stronger regularity w.r.t. time, we establish a Loewner-Kufarev type ODE for the Laplace exponents and characterize branching processes with finite mean in terms of the vector field driving this ODE. Similar results are obtained for families of probability generating functions of branching processes on the discrete state space $\{0,1,2,\ldots\}\cup\{\infty\}$. In addition, we find a necessary and sufficient condition for "spatial" embeddability of such branching processes into branching processes on$~[0,\infty]$. Finally, we give some probabilistic interpretations of the Denjoy-Wolff point at$~0$ and at$~\infty$.

Fields of Study & Subjects

Stochastic processes and statistical mechanics Mathematical Dynamics and Fractals Stochastic processes and financial applications

Publication details

Journal / source
The Annals of Applied Probability
Publisher
Institute of Mathematical Statistics
Volume
36
Issue
3
Pages
2163-2198
Publication date
1 June 2026
Language
EN