Scaling limit of a long-range random walk in time-correlated random environment

Fuente: arXiv
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Auteurs principaux: Rang, Guanglin, Song, Jian, Wang, Meng
Format: Preprint
Publié: 2022
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author Rang, Guanglin
Song, Jian
Wang, Meng
author_facet Rang, Guanglin
Song, Jian
Wang, Meng
contents This paper concerns a long-range random walk in random environment in dimension $1+1$, where the environmental disorder is independent in space but has long-range correlations in time. We prove that two types of rescaled partition functions converge weakly to the Stratonovich solution and the Itô-Skorohod solution respectively of a fractional stochastic heat equation with multiplicative Gaussian noise which is white in space and colored in time.
format Preprint
id arxiv_https___arxiv_org_abs_2210_01009
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Scaling limit of a long-range random walk in time-correlated random environment
Rang, Guanglin
Song, Jian
Wang, Meng
Probability
This paper concerns a long-range random walk in random environment in dimension $1+1$, where the environmental disorder is independent in space but has long-range correlations in time. We prove that two types of rescaled partition functions converge weakly to the Stratonovich solution and the Itô-Skorohod solution respectively of a fractional stochastic heat equation with multiplicative Gaussian noise which is white in space and colored in time.
title Scaling limit of a long-range random walk in time-correlated random environment
topic Probability
url https://arxiv.org/abs/2210.01009