On a large deviation principle for 1d cubic NLS with optimal decaying data

Fuente: arXiv
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Main Authors: Fan, Chenjie, Ye, Feng
Format: Preprint
Published: 2025
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author Fan, Chenjie
Ye, Feng
author_facet Fan, Chenjie
Ye, Feng
contents In this article, we revisit the work of \cite{garrido2023large}, and prove large deviation principles for more general random initial data for cubic NLS. The Fourier coefficient of our random data admits an optimal polynomial decay.
format Preprint
id arxiv_https___arxiv_org_abs_2512_09599
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On a large deviation principle for 1d cubic NLS with optimal decaying data
Fan, Chenjie
Ye, Feng
Analysis of PDEs
Probability
In this article, we revisit the work of \cite{garrido2023large}, and prove large deviation principles for more general random initial data for cubic NLS. The Fourier coefficient of our random data admits an optimal polynomial decay.
title On a large deviation principle for 1d cubic NLS with optimal decaying data
topic Analysis of PDEs
Probability
url https://arxiv.org/abs/2512.09599