The spatial a-fleming-viot process in a random environment

ANNALS OF APPLIED PROBABILITY(2023)

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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.
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关键词
Spatial Lambda-Fleming-Viot model, super-processes, super-Brownian motion, An-derson Hamiltonian, scaling limits, Schauder estimates
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