Novel dynamical behavior of rogue waves in erbium doped fiber with inhomogeneous broadening

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Ritu Pal , M.S. Mani Rajan , K. Subramanian
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引用次数: 0

Abstract

Under investigation is the generalized nonlinear Schrödinger–Maxwell–Bloch equation (GNLS-MB) with inhomogeneous broadening, which determines the wave propagation in optical fibers doped with erbium atoms. We construct first- and second-order rogue wave solutions for the GNLS-MB equation using the similarity reduction technique. We investigate the characteristics of rogue wave solutions by tailoring dispersion and nonlinearity parameters into various forms. Specifically, we examine two cases: (i) a non-zero gain parameter and (ii) a zero gain parameter. We report interesting features of rogue wave structures, illustrated with 2D and 3D graphical representations. Our observations indicate that rogue waves emerge on diverse backgrounds for the non-zero value of the gain parameter, while alternative fascinating patterns are observed when the gain parameter is zero. These findings will be helpful in understanding the dynamics of rogue waves with inhomogeneous effects.
非均匀展宽掺铒光纤中异常波的新动力学行为
研究了具有非均匀展宽的广义非线性Schrödinger-Maxwell-Bloch方程(GNLS-MB),该方程决定了掺铒光纤中的波传播。我们利用相似性约简技术构造了GNLS-MB方程的一阶和二阶异常波解。我们通过将色散和非线性参数裁剪成各种形式来研究异常波解的特性。具体来说,我们研究了两种情况:(i)非零增益参数和(ii)零增益参数。我们报告了流氓波结构的有趣特征,用2D和3D图形表示说明。我们的观察表明,当增益参数为非零时,在不同的背景下会出现异常波,而当增益参数为零时,则会观察到其他迷人的图案。这些发现将有助于理解具有非均匀效应的异常浪的动力学。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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