Quantitative Estimates for Mean-Field Limits and Correlation Functions through a Duality Framework

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Khoury, Nadia, Jabin, P. -E.
Formato: Preprint
Publicado: 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866918479843557376
author Khoury, Nadia
Jabin, P. -E.
author_facet Khoury, Nadia
Jabin, P. -E.
contents We investigate the mean-field limit for interacting particle systems through a duality-based framework and obtain quantitative estimates on the convergence of marginals as well as on correlation functions. In particular, for merely square-integrable interaction forces, we derive the natural fluctuation-scale rate $\mathcal{O}(N^{-1/2})$. By introducing an iterative argument on the hierarchy of dual cumulants, we leverage this bound to recover the optimal mean-field rate $\mathcal{O}(N^{-1})$ and to obtain robust estimates on the dual cumulants, at the expense of corresponding regularity assumptions on the interaction kernel. Finally, using the relation between dual and direct correlations, we transfer these bounds to direct cumulants, yielding refined information on correlations and deviations from chaos.
format Preprint
id arxiv_https___arxiv_org_abs_2605_02058
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Quantitative Estimates for Mean-Field Limits and Correlation Functions through a Duality Framework
Khoury, Nadia
Jabin, P. -E.
Analysis of PDEs
We investigate the mean-field limit for interacting particle systems through a duality-based framework and obtain quantitative estimates on the convergence of marginals as well as on correlation functions. In particular, for merely square-integrable interaction forces, we derive the natural fluctuation-scale rate $\mathcal{O}(N^{-1/2})$. By introducing an iterative argument on the hierarchy of dual cumulants, we leverage this bound to recover the optimal mean-field rate $\mathcal{O}(N^{-1})$ and to obtain robust estimates on the dual cumulants, at the expense of corresponding regularity assumptions on the interaction kernel. Finally, using the relation between dual and direct correlations, we transfer these bounds to direct cumulants, yielding refined information on correlations and deviations from chaos.
title Quantitative Estimates for Mean-Field Limits and Correlation Functions through a Duality Framework
topic Analysis of PDEs
url https://arxiv.org/abs/2605.02058