A Hybrid Elzaki Transform-Daftardar-Jafari Method for Solving Nonlinear Proportional Delay Differential Equations

Main Article Content

Sanda L. N.
Okai J. O.
Nasir U.M.
U. A. Mujahid
Michael Cornelius
Ndam G.S.

Abstract

Proportional delay differential equations (PDDEs) arise naturally in viscoelasticity, control theory, biology, population dynamics, and fractional-order physical models in which the future state depends on the value of the solution at a proportion of the current time, but their nonlinear nature and delay terms make analytic treatment challenging. This study develops a hybrid computational scheme that combines the Elzaki Transform (ET) and the Daftardar–Jafari Method (DJM) to obtain accurate analytical–approximate solutions for linear and nonlinear PDDEs. In the proposed approach, the Elzaki transform converts the PDDE into an algebraic functional equation, which is subsequently decomposed using DJM without the need for Adomian polynomials. The method is straightforward, computationally efficient, and capable of handling strong nonlinearities. Several illustrative examples are presented to demonstrate its efficiency, and the results confirm that the ET–DJM hybrid provides a powerful alternative to classical methods such as the Laplace transform, Adomian Decomposition Method (ADM), Variational Iteration Method (VIM), Homotopy Perturbation Method (HPM), and homotopy analysis methods.

Downloads

Download data is not yet available.

Scopus Citation Data

Data source Crossref
0
citations
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Asl S.B. (2027)
    Uncertainty estimation in earthquake magnitude determination using high-rate GPS data with Bootstrap method
    Iranian Journal of Geophysics, 20(3), 187-203
  2. Shiryazdi R.S. (2027)
    Assessing performances of pattern informatics method variants: a comparative analysis in Zagros, Iran
    Iranian Journal of Geophysics, 20(3), 65-80
  3. Fazl Kazemi A. (2027)
    Revisiting wintertime budget of local finite-amplitude wave activity in the Northern Hemisphere storm tracks
    Iranian Journal of Geophysics, 20(3), 1-24

Article Details

How to Cite
L. N., S., J. O., O., U.M., N., Mujahid, U. A., Cornelius, M., & G.S., N. (2026). A Hybrid Elzaki Transform-Daftardar-Jafari Method for Solving Nonlinear Proportional Delay Differential Equations. Journal of Multidisciplinary Science: MIKAILALSYS, 4(1), 13-25. https://doi.org/10.58578/mikailalsys.v4i1.8106

References

Alsharif, A., & Hattaf, K. (2023). Proportional delay epidemic models with nonlinear incidence. Journal of Applied Mathematics.

Atangana, A. (2020). Nonlinear differential models with memory effects. Chaos, Solitons & Fractals.

Awodola, T. O. (2021). Hybrid transform techniques for delay differential equations. International Journal of Applied Analysis.

Bawa, M., & Ogundare, B. (2022). Stability of proportional multi-delay systems. Nigerian Journal of Mathematics.

Chen, J., Li, S., & Wang, Q. (2023). Neural network models with proportional delays. Applied Mathematical Modelling.

Daftardar-Gejji, V., & Jafari, H. (2006). An iterative method for solving nonlinear functional equations. Journal of Mathematical Analysis and Applications.

Elzaki, T. M. (2012). The Elzaki transform and its applications. Applied Mathematical Sciences.

Elzaki, T. M., & Ahmed, M. (2019). Modified Elzaki transform for differential equations. Asian Journal of Mathematics.

Funmilayo, T., & Olajide, S. (2022). Applications of transforms to nonlinear delay systems. Journal of Computational Mathematics.

Ghanbari, B. (2021). Fractional delay differential equations and modern iterative methods. Alexandria Engineering Journal.

Ibrahim, M. D., Adamu, M. M., Mshelia, I. B., Kwami, A. M., Okai, J. O., & Nyikyaa, M. N. (2025). A modified new iterative method for solving nonlinear fractional-order delay differential equations. International Journal of Education, Management, and Technology, 3(2), 419–438. https://ejournal.yasin-alsys.org/IJEMT/article/view/5381

Jiang, Y., & Xu, Z. (2023). Iterative decomposition techniques for complex nonlinear systems. Applied Analysis and Computation.

Khan, A., & Noor, M. A. (2019). A comparative study of DJM and ADM for nonlinear models. Mathematical Problems in Engineering.

Liao, S., & Xu, C. (2022). Hybrid fractional–delay systems solved with DJM. Communications in Nonlinear Science.

Liu, H., & Zhao, W. (2020). Nonlinear proportional delay models in engineering. Nonlinear Dynamics.

Muhammad, A., & Yakubu, A. (2021). Elzaki transform solutions of fractional models. Journal of the Nigerian Mathematical Society.

Rida, S., & Saad, K. (2021). DJM for fractional integro-differential models. Chaos, Solitons & Fractals.

Shaikh, A., & Khan, R. (2020). Transform-based solutions to nonlinear DDEs. Journal of Applied Nonlinear Science.

Suleiman, A., Waziri, M., & Adamu, H. (2019). On the efficiency of Elzaki transform for singular ODEs. International Journal of Mathematical Sciences.

Wang, L., & He, J. (2021). Approximation schemes for nonlinear delay systems. Journal of Physics: Conference Series.

Waziri, M., & Yakubu, U. (2023). Modern developments in Elzaki transform applications. African Journal of Mathematics.

Yaman, V., & Yilmaz, B. (2018). Solutions of nonlinear delay differential equations by Daftardar-Jafari method. Turkish Journal of Mathematics and Computer Science, 10, 95–106. https://dergipark.org.tr/en/pub/tjmcs/article/452177

Yu, L., & Chen, D. (2024). Advances in proportional delay modeling. Applied Mathematics Letters.

Zhang, W., & Hu, H. (2023). Stability of nonlinear delay oscillators. Journal of Differential Equations.


Explore Our Journals
Find the most suitable journal for your research. If this journal does not fully align with the scope of your manuscript, we invite you to explore our wider portfolio of journals covering diverse fields of study. Please select one of the journals below to identify the most appropriate publication platform for your work.