On a large deviation principle for 1d cubic NLS with optimal decaying data
arXiv:2512.09599
Abstract
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.
19 pages, all comments are welcome