Linking population-size-dependent and controlled branching processes

Peter Braunsteins, Sophie Hautphenne and James Kerlidis

Stochastic Processes and their Applications, 2025, vol. 181, issue C

Abstract: Population-size dependent branching processes (PSDBPs) and controlled branching processes (CBPs) are two classes of branching processes used to model biological populations, including those that exhibit logistic growth. In this paper we develop connections between the two, with the ultimate goal of determining when a population is more appropriately modelled with a PSDBP or a CBP. In particular, we state conditions for the existence of equivalent PSDBPs and CBPs, we then consider the subclass of CBPs with deterministic control functions (DCBPs), stating a necessary and sufficient condition for DCBP–PSDBP equivalence. Finally, we derive an upper bound on the total variation distance between non-equivalent DCBPs and PSDBPs with matching first and second moments and equal initial population size, and show that under certain conditions this bound tends to zero as the initial population size becomes large.

Keywords: Branching process; Carrying capacity; Markov chain; Population modelling; Total variation distance (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.spa.2024.104556

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