Evolutionary higher-order lump–rogue waves in an integrable (3+1)-dimensional complex Kadomtsev–Petviashvili model: Insights on the dynamical patterns through explicit solutions

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-03-04 DOI:10.1016/j.chaos.2025.116169
Sudhir Singh , K. Manikandan , K. Sakkaravarthi
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Abstract

The rogue wave phenomenon continues to attract ever-increasing interest in both theoretical and experimental exploration, with higher-dimensional nonlinear soliton models possessing more fascinating evolutionary dynamics. This motivated the present work to study the evolutionary characteristics of lump–rogue waves in an integrable (3+1)-dimensional complex Kadomtsev–Petviashvili model with complex dispersion-nonlinearity coefficients by constructing explicit solutions through the Hirota bilinearization technique and generalized recursive polynomials. With systematic analysis of the solutions, we reveal the dynamical features and various pattern formation strategies of lump–rogue waves and provide extensive graphical demonstrations. The results are discussed elaborately with certain possible future directions. The observed results can be helpful for enhancing the understanding of localized nonlinear evolutionary waves.
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可积(3+1)维复杂Kadomtsev-Petviashvili模型中的演化高阶块状不规则波:通过显式解对动力模式的洞察
随着高维非线性孤子模型具有更迷人的演化动力学,异常波现象在理论和实验探索方面继续吸引着越来越多的兴趣。为此,本文利用Hirota双线性化技术和广义递归多项式构造显式解,研究了具有复频散非线性系数的可积(3+1)维复Kadomtsev-Petviashvili模型中块状异常波的演化特征。通过对这些解的系统分析,我们揭示了块状异常波的动力学特征和各种模式形成策略,并提供了广泛的图形演示。对结果进行了详细的讨论,并提出了未来可能的发展方向。观测结果有助于增强对局域非线性演化波的认识。
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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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