Conditioning the logistic continuous-state branching process on non-extinction via its total progeny

The problem of conditioning a continuous-state branching process with quadratic competition (logistic CB process) on nonextinction is investigated. We first establish that nonextinction is equivalent to the total progeny of the population being infinite. The conditioning we propose is then designed by requiring the total progeny to exceed arbitrarily large exponential random variables. This is related to a Doob’s h-transform with an explicit excessive function h. The h-transformed process, that is, the conditioned process, is shown to have a finite lifetime almost surely (it is either killed or it explodes continuously). When starting from positive values, the conditioned process is furthermore characterized, up to its lifetime, as the solution to a certain stochastic equation with jumps. The latter superposes the dynamics of the initial logistic CB process with an additional density-dependent immigration term. Last, it is established that the conditioned process can be starting from zero. Key tools employed are a representation of the logistic CB process through a time-changed generalized Ornstein–Uhlenbeck process, as well as Laplace and Siegmund duality relationships with auxiliary diffusion processes.

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Publication Details

Journal
The Annals of Applied Probability
Published
2025-11-24
DOI
https://doi.org/10.1214/25-aap2216
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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article

Conditioning the logistic continuous-state branching process on non-extinction via its total progeny

Anita Winter, Clément Foucart, Víctor Rivero
The Annals of Applied Probability
Stochastic processes and statistical mechanics
article

Conditioning the logistic continuous-state branching process on non-extinction via its total progeny

Anita Winter, Clément Foucart, Víctor Rivero
article en

Abstract

The problem of conditioning a continuous-state branching process with quadratic competition (logistic CB process) on nonextinction is investigated. We first establish that nonextinction is equivalent to the total progeny of the population being infinite. The conditioning we propose is then designed by requiring the total progeny to exceed arbitrarily large exponential random variables. This is related to a Doob’s h-transform with an explicit excessive function h. The h-transformed process, that is, the conditioned process, is shown to have a finite lifetime almost surely (it is either killed or it explodes continuously). When starting from positive values, the conditioned process is furthermore characterized, up to its lifetime, as the solution to a certain stochastic equation with jumps. The latter superposes the dynamics of the initial logistic CB process with an additional density-dependent immigration term. Last, it is established that the conditioned process can be starting from zero. Key tools employed are a representation of the logistic CB process through a time-changed generalized Ornstein–Uhlenbeck process, as well as Laplace and Siegmund duality relationships with auxiliary diffusion processes.

The Annals of Applied ProbabilityVol. 35(6)
Mathematics Research Center (MX), École Polytechnique (FR), Centre de Mathématiques Appliquées de l'École polytechnique (FR), University of Duisburg-Essen (DE)
Openalex Percentile: Top 58%
Stochastic processes and statistical mechanics
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Conditioning the logistic continuous-state branching process on non-extinction via its total progeny — Anita Winter, Clément Foucart, et al. · The Annals of Applied Probability (2025) | TGRS Research Map | TGRS