AccScience Publishing / IJOCTA / Online First / DOI: 10.36922/IJOCTA026210089
Cite this article
1
Download
33
Views
Related Info Links
More by Authors Links
Journal Browser
Volume | Year
Issue
Search
News and Announcements
View All
RESEARCH ARTICLE

Dynamic behavior of a time-dependent mass harmonic oscillator: Analytical, semi-analytical, and numerical investigation

Shahd Iqtit1† Taqwa Al-Khader2† Olivia Florea3† Jihad Asad4†*
Show Less
1 Faculty of Graduate Study, Palestine Technical University–Kadoorie, Tulkarm, Palestin
2 Department of Applied Mathematics, Faculty of Applied Science, Palestine Technical University–Kadoorie, Tulkarm, Palestine
3 Department of Mathematics and Computer Science, Transilvania University of Brasov, Brașov, Romania
4 Department of Physics, Faculty of Applied Science, Palestine Technical University–Kadoorie, Tulkarm, Palestine
†These authors contributed equally to this work.
Received: 22 May 2026 | Revised: 20 June 2026 | Accepted: 22 June 2026 | Published online: 13 July 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

The harmonic oscillator with time-dependent mass represents an important model for describing dynamical systems in which the mass varies with time due to environmental interaction or internal processes. In this work, the dynamics of a time-dependent mass harmonic oscillator are investigated using analytical, semi-analytical, and numerical approaches. The governing equation of motion is derived using both Newtonian and Lagrangian formulations, with an exponentially decreasing mass function. An exact analytical solution is obtained by transforming the resulting differential equation into a Bessel-type equation. In addition, approximate solutions are computed using the Differential Transform Method (DTM) and its multistep extension (Ms-DTM). The numerical solution obtained with the classical fourth-order Runge–Kutta (RK4) method serves as a reference for evaluating the accuracy of the semi-analytical techniques. The results show excellent agreement between the analytical Bessel solution and the numerical RK4 solution, confirming the validity of the analytical formulation. The Ms-DTM method also provides accurate approximations for short time intervals and demonstrates rapid convergence. These findings indicate that the combined analytical–numerical framework offers a reliable approach for studying the dynamical behavior of harmonic oscillators with time-dependent mass and may be useful in the analysis of engineering systems where variable mass effects are significant.

Keywords
Time-dependent mass
Harmonic oscillator
Bessel function
Multistep differential transform method
Runge–Kutta method
Funding
None.
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References
  1. Goldstein H, Poole C, Safko J, Addison SR. Classical Mechanics, 3rd ed. Am J Phys. 2002;70(7):782-783. https://doi.org/10.1119/1.1484149

  2. Rath B, Mallick P, Mohapatra P, Asad J, Shanak H, Jarrar R. Position-dependent finite symmetric mass harmonic like oscillator: classical and quantum mechanical study. Open Phys. 2021;19(1):202138. https://doi.org/10.1515/phys-2021-0024

  3. Leach PGL. Harmonic oscillator with variable mass. J Phys A Math Gen. 1983;16(14):3261-3269. https://doi.org/10.1088/0305-4470/16/14/019

  4. Abdalla MS. Canonical treatment of harmonic oscillator with variable mass. Phys Rev A. 1986;33(5):2870-2873. https://doi.org/10.1103/PhysRevA.33.2870

  5. Flores J, Solovey G, Gil S. Variable mass oscillator. Am J Phys. 2003;71(7):721-725. https://doi.org/10.1119/1.1571838

  6. Rhoads JF, Shaw SW, Turner KL. Nonlinear dynamics and its applications in micro- and nanoresonators. J Dyn Syst Meas Control. 2010;132(3):034001. https://doi.org/10.1115/1.4001333

  7. Arikoglu A, Ozkol I. Solution of differential-difference equations by using differential transform method. Appl Math Comput. 2006;174(2):1216-1228. https://doi.org/10.1016/j.amc.2005.06.013

  8. Erturk VS, Asad J, Jarrar R, Shanak H, Khalilia H. The kinematics behaviour of coupled pendulum using differential transformation method. Results Phys. 2021;26:104325. https://doi.org/10.1016/j.rinp.2021.104325

  9. Lu J. Global residue harmonic balance method for strongly nonlinear oscillator with cubic and harmonic restoring force. J Low Freq Noise Vib Act Control. 2022;41(4):1402-1410. https://doi.org/10.1177/14613484221097465

  10. Odibat Z, Bertelle C, Aziz-Alaoui MA, Duchamp G. A multistep differential transform method and application to non-chaotic or chaotic systems. Comput Math Appl. 2010;59(4):1462-1472. https://doi.org/10.1016/j.camwa.2009.11.005

  11. Xie L, Zhou C, Xu S. An effective numerical method to solve a class of nonlinear singular boundary value problems using improved differential transform method. SpringerPlus. 2016;5(1). https://doi.org/10.1186/s40064-016-2753-9

  12. Al-Ahmad M, Abdullah FA. On the convergence of multi-stage differential transform method. J Appl Math Model. 2024;105:1-15. https://doi.org/10.47363/JPMA/2024(2)107

  13. Gitterman M. Harmonic oscillator with fluctuating mass. J Mod Phys. 2011;2(10):1136-1140. https://doi.org/10.4236/jmp.2011.210140

  14. Florea OA, Shahroor D, Wannan R, Asad J. Pendulum between two springs using Ms-DTM. Phys Scr. 2025;100(2):025240. https://doi.org/10.1088/1402-4896/ada46b

  15. Wannan R, Florea O, Asad J. Analytical approximation and dynamic response of the driven cubic--quintic Duffing oscillator. J Low Freq Noise Vib Act Control. 2026. https://doi.org/10.1177/14613484261429146

  16. Roy T, Soqi A, Maiti DK, Wannan R, Asad J. Pendulum attached to a vibrating point: semi-analytical solution by optimal and modified homotopy perturbation method. Alexandria Eng J. 2025;111:396-403. https://doi.org/10.1016/j.aej.2024.10.086

  17. Alkhader T, Maiti D, Roy T, Florea O, Asad J. Time Dependent Harmonic Oscillator via OM-HPM. JCAMECH. 2025;56(1). https://doi.org/10.22059/jcamech.2024.386177.1304

  18. Baleanu D, Jajarmi A, Defterli O, AlShaikh Mohammad NF, Asad J. On generalized asymmetric harmonic oscillator with quadratic nonlinearity within fractional variational principles. J Low Freq Noise Vib Act Control. 2025;44(2):959-968. https://doi.org/10.1177/14613484241309058

  19. Jarrar R, Erturk VS, Asad J. Remarks on symmetric anharmonic oscillator. J Low Freq Noise Vib Act Control. 2024;43(4):1509-1516. https://doi.org/10.1177/14613484241275601

  20. Roy T, Rath B, Asad J, Maiti DM, Mallick P, Jarrar R. Nonlinear oscillators dynamics using optimal and modified homotopy perturbation method. J Low Freq Noise Vib Act Control. 2024;43(4):1469-1480. https://doi.org/10.1177/14613484241272253

  21. Jarrar R, Safdar R, AlShaikh Mohammad NF, Florea O, Asad J. Dynamical mode of case study on mass-spring system on a massless cart: compared analytical and numerical solutions. J Mech Contin Math Sci. 2025;20(2):1-10. https://doi.org/10.26782/jmcms.2025.02.00001

  22. Butcher JC. Numerical Methods for Ordinary Differential Equations. 2nd ed. Wiley; 2008.

  23. Thornton ST, Marion JB. Classical Dynamics of Particles and Systems. 5th ed. Brooks/Cole; 2004.

  24. Abramowitz M, Stegun IA, eds. Handbook of Mathematical Functions. 9th ed. Dover Publications; 1965.

  25. Olver FWJ, Lozier DW, Boisvert RF, Clark CW, eds. NIST Handbook of Mathematical Functions. Cambridge University Press; 2010.

  26. Watson GN. A Treatise on the Theory of Bessel Functions. 2nd ed. Cambridge University Press; 1944.

  27. Boyce WE, DiPrima RC. Elementary Differential Equations and Boundary Value Problems. 10th ed. Wiley; 2012.

  28. Pukhov GE. Differential transforms and circuit theory. Int J Circuit Theory Appl. 1982;10(3):265-276. https://doi.org/10.1002/cta.4490100307

  29. Hassan IH. Comparison of differential transformation technique with Adomian decomposition method for linear and nonlinear initial value problems. Chaos Solitons Fractals. 2008;36(1):53-65. https://doi.org/10.1016/j.chaos.2006.06.040

  30. Odibat ZM. Differential transform method for solving Volterra integral equation with separable kernels. Math Comput Model. 2008;48(7-8):1143-1148. https://doi.org/10.1016/j.mcm.2007.12.022

  31. Odibat ZM, Momani S, Al-Smadi M. Differential transform method for solving nonlinear partial differential equations. Appl Math Lett. 2008;21(2):194-199. https://doi.org/10.1016/j.aml.2007.02.022

  32. Gokdogan A, Merdan M. Adaptive multistep differential transformation method to solve ODE systems. Kuwait J Sci. 2013;40(1):35-55.

  33. Nourifar M, Sani AA, Keyhani A. Efficient multistep differential transform method: Theory and its application to nonlinear oscillators. Commun Nonlinear Sci Numer Simul. 2017;53:154-183. https://doi.org/10.1016/j.cnsns.2017.05.001

  34. Jacques I, Judd C. Ordinary differential equations: initial value problems. In: Numerical Analysis. Springer; 1987:233-264. https://doi.org/10.1007/978-94-009-3157-2_7

Share
Back to top
An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing