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A diversity of patterns to new (3 + 1)-dimensional Hirota bilinear equation that models dynamics of waves in fluids

Usman YounasDepartment of Mathematics, Shanghai University, No. 99 Shangda Road, Shanghai 200444, ChinaHajar F. IsmaelDepartment of Computer Science, College of Science, Knowledge University, Erbil 44001, IraqTukur Abdulkadir SulaımanDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonMuhammad Amin S. MuradDepartment of Mathematics, College of Science, University of Duhok, Duhok, IraqNehad Ali ShahDepartment of Mechanical Engineering, Sejong University, South KoreaMohsen SharifpurDepartment of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria 0002, South Africa
2023en
ABI

Аннотация

This article discusses the behavior of specific dispersive waves to new (3+1)-dimensional Hirota bilinear equation (3D-HBE). The 3D-HBE is used as a governing equation for the propagation of waves in fluid dynamics. The Hirota bilinear method (HBM) is successfully applied together with various test strategies for securing a class of results in the forms of lump-periodic, breather-type, and two-wave solutions. Solitons for nonlinear partial differential equations (NLPDEs) can be identified via the well-known mathematical methodology known as the Hirota method. However, this requires for bilinearization of nonlinear PDEs. The method employed provides a comprehensive explanation of NLPDEs by extracting and also generating innovative exact solutions by merging the outcomes of various procedures. To further illustrate the impact of the parameters, we also include a few numerical visualizations of the results. These findings validate the usefulness of the used method in improving the nonlinear dynamical behavior of selected systems. These results are used to illustrate the physical properties of lump solutions and the collision-related components of various nonlinear physical processes. The outcomes demonstrate the efficiency, rapidity, simplicity, and adaptability of the applied algorithm.

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