Transcritical bifurcation for the conditional distribution of a diffusion process
Michel Bena\"im, Nicolas Champagnat (IECL, BIGS), William O\c{c}afrain, (IECL, BIGS), Denis Villemonais (IECL, BIGS)

TL;DR
This paper investigates a class of absorbed diffusion processes where the conditional distribution undergoes a transcritical bifurcation, using quasi-stationary distributions to analyze the bifurcation behavior.
Contribution
It introduces a simple model framework for absorbed diffusion processes with bifurcation phenomena in their conditional laws, based on quasi-stationary distribution analysis.
Findings
Identification of transcritical bifurcation in conditional distributions
Characterization of quasi-stationary distributions for reducible processes
Insights into bifurcation behavior in diffusion models
Abstract
In this article, we describe a simple class of models of absorbed diffusion processes with parameter, whose conditional law exhibits a transcritical bifurcation. Our proofs are based on the description of the set of quasi-stationary distributions for general two-clusters reducible processes.
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Taxonomy
TopicsMathematical Biology Tumor Growth · Mathematical and Theoretical Epidemiology and Ecology Models · Nonlinear Partial Differential Equations
