High-order numerical method for the nonlinear Helmholtz equation with material discontinuities in one space dimension

被引:27
|
作者
Baruch, G.
Fibich, G.
Tsynkov, S. [1 ]
机构
[1] Tel Aviv Univ, Sch Math Sci, Dept Appl Math, IL-69978 Tel Aviv, Israel
[2] N Carolina State Univ, Dept Math, Raleigh, NC 27695 USA
基金
美国国家科学基金会;
关键词
Kerr nonlinearity; nonlinear optics; inhomogeneous medium; discontinuous coefficients; finite volume discretization; C mpact scheme; high-order method; artificial boundary conditions (ABCs); two-way ABCs; traveling waves; complex valued solutior; Frechet differentiability; Newton's method;
D O I
10.1016/j.jcp.2007.08.022
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The nonlinear Helmholtz equation (NLH) models the propagation of electromagnetic waves in Kerr media, an describes a range of important phenomena in nonlinear optics and in other areas. In our previous work, we developed a fourth order method for its numerical solution that involved an iterative solver based on freezing the nonlinearity. The method enabled a direct simulation of nonlinear self-focusing in the nonparaxial regime, and a quantitative prediction of backscattering. However, our simulations showed that there is a threshold value for the magnitude of the nonlinearity, above which the iterations diverge. In this study, we numerically solve the one-dimensional NLH using a Newton-type nonlinear solver. Because the Kerr nonlinearity contains absolute values of the field, the NLH has to be recast as a system of two real equations in order apply Newton's method. Our numerical simulations show that Newton's method converges rapidly and, in contradistinction with the iterations based on freezing the nonlinearity, enables computations for very high levels of nonlinearity. In addition, we introduce a novel compact finite-volume fourth order discretization for the NLH with material discontinuities. Our computations corroborate the design fourth order convergence of the method. The one-dimensional results of the current paper create a foundation for the analysis of multidimensional problems the future. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:820 / 850
页数:31
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