7 research outputs found
The Nonlinear Schroedinger Equation with a random potential: Results and Puzzles
The Nonlinear Schroedinger Equation (NLSE) with a random potential is
motivated by experiments in optics and in atom optics and is a paradigm for the
competition between the randomness and nonlinearity. The analysis of the NLSE
with a random (Anderson like) potential has been done at various levels of
control: numerical, analytical and rigorous. Yet, this model equation presents
us with a highly inconclusive and often contradictory picture. We will describe
the main recent results obtained in this field and propose a list of specific
problems to focus on, that we hope will enable to resolve these outstanding
questions.Comment: 21 pages, 4 figure
Statistical properties of the one dimensional Anderson model relevant for the nonlinear Schrödinger equation in a random potential
The statistical properties of overlap sums of groups of four eigenfunctions of the
Anderson model for localization as well as combinations of four eigenenergies are
computed. Some of the distributions are found to be scaling functions, as expected from
the scaling theory for localization. These enable to compute the distributions in regimes
that are otherwise beyond the computational resources. These distributions are of great
importance for the exploration of the nonlinear Schrödinger equation (NLSE) in a random
potential since in some explorations the terms we study are considered as noise and the
present work describes its statistical properties
Statistical properties of the one dimensional Anderson model relevant for the nonlinear Schrödinger equation in a random potential
The statistical properties of overlap sums of groups of four eigenfunctions
of the Anderson model for localization as well as combinations of four
eigenenergies are computed. Some of the distributions are found to be scaling
functions, as expected from the scaling theory for localization. These enable
to compute the distributions in regimes that are otherwise beyond the
computational resources. These distributions are of great importance for the
exploration of the Nonlinear Schr\"odinger Equation (NLSE) in a random
potential since in some explorations the terms we study are considered as noise
and the present work describes its statistical properties