THE SPATIAL A-FLEMING-VIOT PROCESS IN A RANDOM ENVIRONMENT

成果类型:
Article
署名作者:
Klimek, Aleksander; Rosati, Tommaso Cornelis
署名单位:
University of Edinburgh; University of Warwick
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/22-AAP1871
发表日期:
2023
页码:
2426-2492
关键词:
species richness Heterogeneity MODEL
摘要:
We study the large scale behaviour of a population consisting of two types which evolve in dimension d = 1, 2 according to a spatial Lambda-Fleming-Viot process subject to random time-independent selection. If one of the two types is rare compared to the other, we prove that its evolution can be approximated by a super-Brownian motion in a random (and singular) en-vironment. Without the sparsity assumption, a diffusion approximation leads to a Fisher-KPP equation in a random potential. The proofs build on two -scale Schauder estimates and semidiscrete approximations of the Anderson Hamiltonian.