Novel Travelling-Wave Solutions of Spatial-Temporal Fractional Model of Dynamical Benjamin-Bona-Mahony System

IF 3.3 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Mohammed Al-Smadi, Shrideh Al-Omari, Sharifah Alhazmi, Yeliz Karaca, Shaher Momani
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引用次数: 0

Abstract

This paper investigates the dynamics of exact traveling-wave solutions for nonlinear spatial and temporal fractional partial differential equations with conformable order derivatives arising in nonlinear propagation waves of small amplitude including nonlinear fractional modified Benjamin–Bona–Mahony equation, fractional Zakharov–Kuznetsov–Benjamin–Bona–Mahony equation and fractional (2+1)-dimensional Kadomtsev–Petviashvili–Benjamin–Bona–Mahony equation as well. By utilizing the Sine-Gordon expansion method (SGEM), new real- and complex-valued exact traveling-wave solutions are reported by preferring suitable values of physical free parameters. The nonlinear governing equations are reduced into auxiliary nonlinear ordinary differential equations with aid of fractional traveling-wave transformation, in which the fractional derivative is evaluated in a conformable sense. The productivity process of the proposed method for predicting the desirable solutions is also provided. Some of the obtained solutions are simulated graphically in 3D and contour plots. Meanwhile, the effects of the fractional parameter [Formula: see text] in the space and the time direction are illustrated in 2D plots to ensure the novelty, applicability and credibility of the SGEM. These results reveal that the suggested method is general and adequate for dealing with nonlinear models featuring fractional derivatives and can be employed to analyze wide classes of complex phenomena of partial differential equations occurring in engineering and nonlinear dynamics.
动态Benjamin-Bona-Mahony系统时空分数阶模型的新型行波解
本文研究了小振幅非线性传播波中具有可调阶导数的非线性时空分数阶偏微分方程的精确行波解的动力学性质,包括非线性分数阶修正Benjamin-Bona-Mahony方程、分数阶Zakharov-Kuznetsov-Benjamin-Bona-Mahony方程和分数阶(2+1)维Kadomtsev-Petviashvili-Benjamin-Bona-Mahony方程。利用正弦戈登展开法(SGEM),通过选择合适的物理自由参数值,报道了新的实值和复值精确行波解。借助于分数阶行波变换,将非线性控制方程化为辅助非线性常微分方程,并在适形意义上求出分数阶导数。给出了该方法预测理想解的生产率过程。在三维和等高线图中对得到的一些解进行了图形化模拟。同时,用二维图说明分数参数[公式:见文]在空间和时间方向上的作用,以保证SGEM的新颖性、适用性和可信度。结果表明,该方法具有通用性,适用于处理以分数阶导数为特征的非线性模型,可用于分析工程和非线性动力学中出现的各种复杂偏微分方程现象。
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来源期刊
CiteScore
7.40
自引率
23.40%
发文量
319
审稿时长
>12 weeks
期刊介绍: The investigation of phenomena involving complex geometry, patterns and scaling has gone through a spectacular development and applications in the past decades. For this relatively short time, geometrical and/or temporal scaling have been shown to represent the common aspects of many processes occurring in an unusually diverse range of fields including physics, mathematics, biology, chemistry, economics, engineering and technology, and human behavior. As a rule, the complex nature of a phenomenon is manifested in the underlying intricate geometry which in most of the cases can be described in terms of objects with non-integer (fractal) dimension. In other cases, the distribution of events in time or various other quantities show specific scaling behavior, thus providing a better understanding of the relevant factors determining the given processes. Using fractal geometry and scaling as a language in the related theoretical, numerical and experimental investigations, it has been possible to get a deeper insight into previously intractable problems. Among many others, a better understanding of growth phenomena, turbulence, iterative functions, colloidal aggregation, biological pattern formation, stock markets and inhomogeneous materials has emerged through the application of such concepts as scale invariance, self-affinity and multifractality. The main challenge of the journal devoted exclusively to the above kinds of phenomena lies in its interdisciplinary nature; it is our commitment to bring together the most recent developments in these fields so that a fruitful interaction of various approaches and scientific views on complex spatial and temporal behaviors in both nature and society could take place.
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