TY - JOUR
T1 - Quasi-stationary distribution for continuous-state branching processes with competition
AU - Li, Pei Sen
AU - Wang, Jian
AU - Zhou, Xiaowen
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/11
Y1 - 2024/11
N2 - We study quasi-stationary distribution of the continuous-state branching process with competition introduced by Berestycki et al. (2018). This process is defined as the unique strong solution to a stochastic integral equation with jumps. An important example is the logistic branching process proposed by Lambert (2005). We establish the strong Feller property, trajectory Feller property, Lyapunov condition, weak Feller property and irreducibility, respectively. These properties together allow us to prove that if the competition is strong enough near +∞, then there is a unique quasi-stationary distribution, which attracts all initial distributions with exponential rates.
AB - We study quasi-stationary distribution of the continuous-state branching process with competition introduced by Berestycki et al. (2018). This process is defined as the unique strong solution to a stochastic integral equation with jumps. An important example is the logistic branching process proposed by Lambert (2005). We establish the strong Feller property, trajectory Feller property, Lyapunov condition, weak Feller property and irreducibility, respectively. These properties together allow us to prove that if the competition is strong enough near +∞, then there is a unique quasi-stationary distribution, which attracts all initial distributions with exponential rates.
KW - Competition
KW - Continuous-state branching process
KW - Irreducibility
KW - Quasi-stationary distribution
KW - Strong feller property
UR - http://www.scopus.com/inward/record.url?scp=85201684226&partnerID=8YFLogxK
U2 - 10.1016/j.spa.2024.104457
DO - 10.1016/j.spa.2024.104457
M3 - Article
AN - SCOPUS:85201684226
SN - 0304-4149
VL - 177
JO - Stochastic Processes and their Applications
JF - Stochastic Processes and their Applications
M1 - 104457
ER -