The lens transform provides an efficient numerical method to compute the scattering operator for defocusing NLS, supported by new theoretical identities, simulations matching known properties, and conjectures on long-range cases.
Modified wave operators for the defocusing cubic nonlinear Schr\"odinger equation in one space dimension with large scattering data
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
In the present paper, we construct modified wave operators for the defocusing cubic nonlinear Schr\"odinger equation (NLS) in one space dimension without size restriction on scattering data. In the proof, we introduce a new formulation of the problem based on the linearization of the NLS around a prescribed asymptotic profile. For the linearized equation which is a system of Schr\"odinger equations with non-symmetric, time-dependent long-range potentials, we show a modified energy identity, as well as an associated energy estimate, which allow us to apply a simple energy method to construct the modified wave operators. As a byproduct, we also obtain in the focusing case an improved explicit upper bound for the size of scattering data to ensure the existence of modified wave operators. Our argument relies neither on the complete integrability nor on the framework of analytic function spaces, and also works for short-range perturbations of the cubic nonlinearity.
fields
math.AP 2verdicts
UNVERDICTED 2representative citing papers
Constructs solutions to the 1D cubic NLS that approach a given modified asymptotic state for small final data W via a contraction map whose forcing depends only on W.
citing papers explorer
-
On scattering for NLS: rigidity properties and numerical simulations via the lens transform
The lens transform provides an efficient numerical method to compute the scattering operator for defocusing NLS, supported by new theoretical identities, simulations matching known properties, and conjectures on long-range cases.
-
On the final-state problem for the 1D cubic NLS
Constructs solutions to the 1D cubic NLS that approach a given modified asymptotic state for small final data W via a contraction map whose forcing depends only on W.