Almost sure pointwise convergence for the 2D periodic quintic NLS
arXiv:2608.17100
Abstract
We prove probabilistic pointwise convergence to the initial datum for the 2D periodic quintic NLS for data in with . This is an improvement with respect to the deterministic setting, in which convergence is known to fail if . The proof is based on a nonlinear maximal characterization for convergence, Bourgain's linear-nonlinear decomposition and the corresponding nonlinear smoothing for which we employ random tensor estimates.