Stochastic models for a chemostat and long time behavior

Pierre Collet (1) , Servet Martinez (2) , Sylvie Meleard (3) , Jaime San Martin (2)

1 CPHT - Centre de Physique Théorique [Palaiseau]
2 Departamento de Ingenieria Matematica, Centro Modelamiento Matematico
3 CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique

We introduce two stochastic chemostat models consisting in a coupled population-nutrient process reflecting the interaction between the nutrient and the bacterias in the chemostat with finite volume. The nutrient concentration evolves continuously but depending on the population size, while the population size is a birth and death process with coefficients depending on time through the nutrient concentration. The nutrient is shared by the bacteria and creates a regulation of the bacterial population size. The latter and the fluctuations due to the random births and deaths of individuals make the population go almost surely to extinction. Therefore, we are interested in the long time behavior of the bacterial population conditioned to the non-extinction. We prove the global existence of the process and its almost sure extinction. The existence of quasi-stationary distributions is obtained based on a general fixed point argument. Moreover, we prove the absolute continuity of the nutrient distribution when conditioned to a fixed number of individuals and the smoothness of the corresponding densities.

Mots clés: chemostat; quasi-stationary distribution; stochastic models

Domaines: Probabilités [math.PR]

Pierre Collet, Servet Martinez, Sylvie Meleard, Jaime San Martin. Stochastic models for a chemostat and long time behavior. 2012. ⟨hal-00708680⟩