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Main Authors: Bourguin, Solesne, Spiliopoulos, Konstantinos
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2301.09005
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author Bourguin, Solesne
Spiliopoulos, Konstantinos
author_facet Bourguin, Solesne
Spiliopoulos, Konstantinos
contents We study fluctuations of small noise multiscale diffusions around their homogenized deterministic limit. We derive quantitative rates of convergence of the fluctuation processes to their Gaussian limits in the appropriate Wasserstein metric requiring detailed estimates of the first and second order Malliavin derivative of the slow component. We study a fully coupled system and the derivation of the quantitative rates of convergence depends on a very careful decomposition of the first and second Malliavin derivatives of the slow and fast component to terms that have different rates of convergence depending on the strength of the noise and timescale separation parameter.
format Preprint
id arxiv_https___arxiv_org_abs_2301_09005
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Quantitative fluctuation analysis of multiscale diffusion systems via Malliavin calculus
Bourguin, Solesne
Spiliopoulos, Konstantinos
Probability
We study fluctuations of small noise multiscale diffusions around their homogenized deterministic limit. We derive quantitative rates of convergence of the fluctuation processes to their Gaussian limits in the appropriate Wasserstein metric requiring detailed estimates of the first and second order Malliavin derivative of the slow component. We study a fully coupled system and the derivation of the quantitative rates of convergence depends on a very careful decomposition of the first and second Malliavin derivatives of the slow and fast component to terms that have different rates of convergence depending on the strength of the noise and timescale separation parameter.
title Quantitative fluctuation analysis of multiscale diffusion systems via Malliavin calculus
topic Probability
url https://arxiv.org/abs/2301.09005