English

Extinction threshold in spatial stochastic logistic model: Space homogeneous case

Probability 2020-05-07 v2 Mathematical Physics Classical Analysis and ODEs Dynamical Systems math.MP

Abstract

We consider the extinction regime in the spatial stochastic logistic model in Rd\mathbb{R}^d (a.k.a. Bolker--Pacala--Dieckmann--Law model of spatial populations) using the first-order perturbation beyond the mean-field equation. In space homogeneous case (i.e. when the density is non-spatial and the covariance is translation invariant), we show that the perturbation converges as time tends to infinity; that yields the first-order approximation for the stationary density. Next, we study the critical mortality---the smallest constant death rate which ensures the extinction of the population---as a function of the mean-field scaling parameter ε>0\varepsilon>0. We find the leading term of the asymptotic expansion (as ε0\varepsilon\to0) of the critical mortality which is apparently different for the cases d3d\geq3, d=2d=2, and d=1d=1.

Keywords

Cite

@article{arxiv.2004.04830,
  title  = {Extinction threshold in spatial stochastic logistic model: Space homogeneous case},
  author = {Dmitri Finkelshtein},
  journal= {arXiv preprint arXiv:2004.04830},
  year   = {2020}
}

Comments

v2 - Proof of the former Theorem 3.1 has been essentially simplified by introducing an additional lemma

R2 v1 2026-06-23T14:46:21.153Z