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Abstract

The main aim of this paper is to obtain the approximate series solution of the time-fractional nonlinear Zakharov–Kuznetsov (TFZK) equations using the Laplace residual power series (LRPS) method. LRPS method is a coupling where Laplace transformation is gracefully combined with the residual power series method. One important feature of the LRPS technique is that it uses the concept of limits at infinity, which help us to determine the unknown coefficients of the convergent power series solution. Caputo fractional derivative is used in the formulation of Zakharov–Kuznetsov (ZK) equations. The ZK equations with time-fractional derivative have significant implications in the study of wave dynamics in ocean-based coastal regions, making their approximate solution essential for understanding complex wave phenomena. To validate the effectiveness of the LRPS approach, we analysed two different forms of the TFZK equation. Simultaneously, we visually captured the physical behaviour of the approximate solution using various tables and plots for different fractional orders. Numerical simulation is demonstrated using Maple and Matlab. Comparative analyses were performed with other existing methods, demonstrating the superiority of the LRPS method in solving TFZK equations.

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References

  1. I Podlubny, Fractional differential equations (Academic Press, New York, 1999)

    Google Scholar

  2. A El-Ajou, Z Al-Zhour, M Oqielat, S Momani and T Hayat, Eur. Phys. J. Plus 134, 1 (2019)

    Google Scholar

  3. Z Odibat and D Baleanu, Chin. J. Phys. 77, 1003 (2022)

    Google Scholar

  4. G H Ibraheem, M Turkyilmazoglu and M Al-Jawary, J. Comput. Sci. 64, 101841 (2022)

    Google Scholar

  5. A Rao, R K Vats and S Yadav, Chaos Solitons Fractals 184, 114941 (2024)

    Google Scholar

  6. S R Khirsariya, S B Rao and J P Chauhan, Math. Comput. Simul. 205, 272 (2023)

    Google Scholar

  7. F Mainardi, Fractional calculus and waves in linear viscoelasticity (World Scientific, Singapore, 2022)

    Google Scholar

  8. A Rao, R K Vats and S Yadav, Int. J. Appl. Comput. Math. 10(2), 1 (2024)

    Google Scholar

  9. H M Srivastava, K Dhawan, R K Vats and A K Nain, Z. Angew. Math. Phys. 75(45), 1 (2024)

    Google Scholar

  10. A K Nain, R K Vats and S K Verma, Dyn. Contin. Disc. Impuls. Syst. A 28, 193 (2021)

    Google Scholar

  11. F Zhou and X Xu, Appl. Math. Comput. 280, 11 (2016)

    MathSciNet Google Scholar

  12. V P Dubey, R Kumar, J Singh and D Kumar, J. Ocean Eng. Sci. 6(1), 30 (2021)

    Google Scholar

  13. M Goyal, A Prakash and D Baleanu, J. Ocean Eng. Sci. 7(2), 131 (2022)

    Google Scholar

  14. D Zhao and M Luo, Appl. Math. Comput. 346, 531 (2019)

    MathSciNet Google Scholar

  15. S Dubey and S Chakraverty, Pramana – J. Phys. 97(1), 11 (2022)

    Google Scholar

  16. S Momani, Chaos Solitons Fractals 28(4), 930 (2006)

    ADS Google Scholar

  17. G Adomian, Math. Comput. Modelling 13(7), 17 (1990)

    MathSciNet Google Scholar

  18. J H He, Int. J. Non-Linear Mech. 34(4), 699 (1999)

    ADS Google Scholar

  19. J He, Comput. Methods Appl. Mech. Eng. 178(3–4), 257 (1999)

    ADS Google Scholar

  20. S Liao, Appl. Math. Comput. 147(2), 499 (2004)

    MathSciNet Google Scholar

  21. O A Arqub, J. Adv. Res. Appl. Math. 5(1), 31 (2013)

    MathSciNet Google Scholar

  22. A Prakash, M Kumar and D Baleanu, Appl. Math. Comput. 334, 30 (2018)

    MathSciNet Google Scholar

  23. T Eriqat, A El-Ajou, N O Moa’ath, Z Al-Zhour and S Momani, Chaos Solitons Fractals 138, 109957 (2020)

    Google Scholar

  24. M N Oqielat, T Eriqat, Z Al-Zhour, O Ogilat, A El-Ajou and I Hashim, Int. J. Dyn. Control 11(2), 520 (2023)

    Google Scholar

  25. H Aljarrah, M Alaroud, A Ishak and M Darus, Math. 10(12), 1980 (2022)

    Google Scholar

  26. A El-Ajou, Eur. Phys. J. Plus 136(2), 229 (2021)

    Google Scholar

  27. M Alaroud, Alex. Eng. J. 61(2), 1585 (2022)

    Google Scholar

  28. R Y Molliq, M S M Noorani, I Hashim and R R Ahmad, J. Comput. Appl. Math. 233(2), 103 (2009)

    ADS MathSciNet Google Scholar

  29. S Yadav, R K Vats and A Rao, Opt. Quant. Electron. 56(721), 1 (2024)

    Google Scholar

  30. B R Sontakke, A Shaikh, V Jadhav and P Mahavidyalaya, Int. J. Pure Appl. Math. 116(4), 913 (2017)

    Google Scholar

  31. P Veeresha and D Prakasha, Chin. J. Phys. 60, 313 (2019)

    Google Scholar

  32. M Şenol, M Alquran and H D Kasmaei, Results Phys. 9, 321 (2018)

    Google Scholar

  33. K B Oldham and J Spanier, The fractional calculus (Academic Press, New York, 1974)

    Google Scholar

  34. K S Miller and B Ross, An introduction to fractional calculus and fractional differential equations (John Wiley & Sons, New York, 1993)

    Google Scholar

  35. J R Hanna and J H Rowland, Fourier series, transforms and boundary value problems (Dover Publications, New York, 2008)

    Google Scholar

  36. S Kazem, Int. J. Nonlinear Sci. 16(1), 3 (2013)

    MathSciNet Google Scholar

  37. A Burqan, Int. J. Appl. Comput. Math. 9(5), 89 (2023)

    MathSciNet Google Scholar

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Acknowledgements

Sanjeev Yadav is grateful to the University Grants Commission (UGC) for providing a fellowship to support his research work. The authors sincerely thank the anonymous reviewers for their valuable feedback, which has greatly improved the manuscript.

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Correspondence to Anjali Rao.

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Yadav, S., Vats, R.K. & Rao, A. Application of extended residual power series method for time-fractional Zakharov–Kuznetsov equations in ocean-based coastal wave. Pramana – J Phys 99, 97 (2025). https://doi.org/10.1007/s12043-025-02947-y

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  • DOI  https://doi.org/10.1007/s12043-025-02947-y

Keywords

  • Fractional calculus
  • Laplace residual power series method
  • Zakharov–Kuznetsov equations
  • Caputo fractional derivative
  • Approximation method

PACS Nos.

  • 04.25.−g
  • 41.20.Cv
  • 02.60.Cb
  • 02.30.Mv
  • 02.30.Jr
  • 45.10.Hj
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