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Main Authors: Hong, Wei, Liu, Wei, Yang, Shiyuan
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.11874
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author Hong, Wei
Liu, Wei
Yang, Shiyuan
author_facet Hong, Wei
Liu, Wei
Yang, Shiyuan
contents The aim of this paper is to investigate the large deviations for a class of slow-fast mean-field diffusions, which extends some existing results to the case where the laws of fast process are also involved in the slow component. Due to the perturbations of fast process and its time marginal law, one cannot prove the large deviations based on verifying the powerful weak convergence criterion directly. To overcome this problem, we employ the functional occupation measure, which combined with the notion of the viable pair and the controls of feedback form to characterize the limits of controlled sequences and justify the upper and lower bounds of Laplace principle. As a consequence, the explicit representation formula of the rate function for large deviations is also presented.
format Preprint
id arxiv_https___arxiv_org_abs_2501_11874
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Large Deviations for Slow-Fast Mean-Field Diffusions
Hong, Wei
Liu, Wei
Yang, Shiyuan
Probability
The aim of this paper is to investigate the large deviations for a class of slow-fast mean-field diffusions, which extends some existing results to the case where the laws of fast process are also involved in the slow component. Due to the perturbations of fast process and its time marginal law, one cannot prove the large deviations based on verifying the powerful weak convergence criterion directly. To overcome this problem, we employ the functional occupation measure, which combined with the notion of the viable pair and the controls of feedback form to characterize the limits of controlled sequences and justify the upper and lower bounds of Laplace principle. As a consequence, the explicit representation formula of the rate function for large deviations is also presented.
title Large Deviations for Slow-Fast Mean-Field Diffusions
topic Probability
url https://arxiv.org/abs/2501.11874