The Second Picard iteration of NLS on the $2d$ sphere does not regularize Gaussian random initial data
Nicolas Burq, Nicolas Camps, Micka\"el Latocca, Chenmin Sun, Nikolay Tzvetkov

TL;DR
This paper demonstrates that the second Picard iteration of the Wick ordered cubic NLS on the 2D sphere does not enhance regularity of Gaussian initial data, contrasting with known results on the torus.
Contribution
It provides a rigorous analysis showing the failure of regularization in the second Picard iteration on the sphere, highlighting geometric effects absent in the torus case.
Findings
Second Picard iteration does not improve regularity on the sphere.
Singular part of nonlinearity causes concentration on a geodesic.
Contrast with torus case where regularization occurs.
Abstract
We consider the Wick ordered cubic Schr\"odinger equation (NLS) posed on the two-dimensional sphere, with initial data distributed according to a Gaussian measure. We show that the second Picard iteration does not improve the regularity of the initial data in the scale of the classical Sobolev spaces. This is in sharp contrast with the Wick ordered NLS on the two-dimensional tori, a model for which we know from the work of Bourgain that the second Picard iteration gains one half derivative. Our proof relies on identifying a singular part of the nonlinearity. We show that this singular part is responsible for a concentration phenomenon on a large circle (i.e. a stable closed geodesic), which prevents any regularization in the second Picard iteration.
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