A Probabilistic Look at Growth-Fragmentation Equations

Florian Bouguet (1, 2)

1 BIGS - Biology, genetics and statistics
2 IECL - Institut Élie Cartan de Lorraine

In this note, we consider general growth-fragmentation equations from a probabilistic point of view. Using Foster-Lyapunov techniques, we study the recurrence of the associated Markov process depending on the growth and fragmentation rates. We prove the existence and uniqueness of its stationary distribution, and we are able to derive precise bounds for its tails in the neighborhoods of both 0 and +∞. This study is systematically compared to the results obtained so far in the literature for this class of integro-differential equations.

Mots clés: stationary measure; Markov process; growth-fragmentation; Foster-Lyapunov criterion; tails of distribution

Domaines: Probabilités [math.PR]

Florian Bouguet. A Probabilistic Look at Growth-Fragmentation Equations. Séminaire de Probabilités XLIX, Springer, pp.57-74, 2018, Lecture Notes in Mathematics vol. 2215, 978-3-319-92419-9. ⟨10.1007/978-3-319-92420-5_2⟩. ⟨hal-01362555⟩