Quenched CLT for ancestral lineages of logistic branching random walks

Fuente: arXiv
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Auteurs principaux: Birkner, Matthias, Depperschmidt, Andrej, Schlüter, Timo
Format: Preprint
Publié: 2024
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author Birkner, Matthias
Depperschmidt, Andrej
Schlüter, Timo
author_facet Birkner, Matthias
Depperschmidt, Andrej
Schlüter, Timo
contents We consider random walks in dynamic random environments which arise naturally as spatial embeddings of ancestral lineages in spatial locally regulated population models. In particular, as the main result, we prove the quenched central limit theorem for a random walk in dynamic random environment generated by time reversal of logistic branching random walks in a regime where the population density is sufficiently high. As an important tool we consider as auxiliary models random walks in dynamic random environments defined in terms of the time-reversal of oriented percolation. We show that the quenched central limit theorem holds if the influence of the random medium on the walks is suitably weak. The proofs of the quenched central limit theorems in these models rely on coarse-graining arguments and a construction of regeneration times for a pair of conditionally independent random walks in the same medium, combined with a coupling that relates them to a pair of independent random walks in two independent copies of the medium.
format Preprint
id arxiv_https___arxiv_org_abs_2403_08567
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quenched CLT for ancestral lineages of logistic branching random walks
Birkner, Matthias
Depperschmidt, Andrej
Schlüter, Timo
Probability
60K35, 60J10, 60K37, 82B43
We consider random walks in dynamic random environments which arise naturally as spatial embeddings of ancestral lineages in spatial locally regulated population models. In particular, as the main result, we prove the quenched central limit theorem for a random walk in dynamic random environment generated by time reversal of logistic branching random walks in a regime where the population density is sufficiently high. As an important tool we consider as auxiliary models random walks in dynamic random environments defined in terms of the time-reversal of oriented percolation. We show that the quenched central limit theorem holds if the influence of the random medium on the walks is suitably weak. The proofs of the quenched central limit theorems in these models rely on coarse-graining arguments and a construction of regeneration times for a pair of conditionally independent random walks in the same medium, combined with a coupling that relates them to a pair of independent random walks in two independent copies of the medium.
title Quenched CLT for ancestral lineages of logistic branching random walks
topic Probability
60K35, 60J10, 60K37, 82B43
url https://arxiv.org/abs/2403.08567