Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Eigenvalue Switching by Cascading

Not Accessible

Your library or personal account may give you access

Abstract

Self-action of light is a subject of constant intense investigation due to the fascinating phenomena encountered and their potential applications to all-optical, ultrafast signal processing devices. Optical solitons play a central role in such scenario because of their unique particlelike properties. Until recently optical solitons have been mainly pursued using the optical Kerr effect in cubic nonlinear media, and the photorefractive effect. The propagation of light in cubic nonlinear media is described by the nonlinear Schröedinger (NLSE) which in appropriate waveguide settings has both single and higher-order soliton solutions, and various types of devices based on such solitons have been proposed. Higher-order solitons are bound states of several single solitons. In the framework of the inverse scattering transform the number of solitons of the NLSE contained into an input light signal is given by the number of eigenvalues of the Zakharov-Shabat scattering The bound states contain no binding energy and they can be destroyed by different physical mechanisms that appear as perturbations to the NLSE.

© 1996 Optical Society of America

PDF Article
More Like This
Break up of Spatial Solitons by Cascading

J.P. Torres and Lluis Torner
QWE1 European Quantum Electronics Conference (EQEC) 1996

Beam steering and routing in quadratic nonlinear media

Maria C. Santos, Alejandro B. Aceves, and Lluis Torner
QThG25 Quantum Electronics and Laser Science Conference (CLEO:FS) 1997

An approximation procedure for the Zakharov-Shabat eigenvalue problem for real single-humped potentials

M. Desaix, D. Anderson, M. Lisak, and M. L. Quiroga-Teixeiro
SaD.13 Nonlinear Guided Waves and Their Applications (NP) 1996

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.