Maximizers for the Strichartz norm for small solutions of mass-critical NLS
Abstract
Consider the mass-critical nonlinear Schr\"odinger equations in both focusing and defocusing cases for initial data in in space dimension N. By Strichartz inequality, solutions to the corresponding linear problem belong to a global space in the time and space variables, where . In 1D and 2D, the best constant for the Strichartz inequality was computed by D.~Foschi who has also shown that the maximizers are the solutions with Gaussian initial data. Solutions to the nonlinear problem with small initial data in are globally defined and belong to the same global space. In this work we show that the maximum of the norm is attained for a given small mass. In addition, in 1D and 2D, we show that the maximizer is unique and obtain a precise estimate of the maximum. In order to prove this we show that the maximum for the linear problem in 1D and 2D is nondegenerated.
Keywords
Cite
@article{arxiv.1007.0297,
title = {Maximizers for the Strichartz norm for small solutions of mass-critical NLS},
author = {Thomas Duyckaerts and Frank Merle and Svetlana Roudenko},
journal= {arXiv preprint arXiv:1007.0297},
year = {2010}
}
Comments
To be published in Annali della Scuola Normale Superiore di Pisa