On a large deviation principle for 1d cubic NLS with optimal decaying data
Abstract
In this article, we revisit the work of 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.
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