Mikailalsys Journal of Mathematics and Statistics
Vol 4 No 3 (2026): Mikailalsys Journal of Mathematics and Statistics

Laplace Adomian Decomposition Method (LADM) on Approximate Solution to Fractional Order Kidnapping Dynamics

Laminu Idris (Unknown)
Ahmad Rufai Tasiu (Unknown)



Article Info

Publish Date
24 Aug 2026

Abstract

Fractional-order modeling offers a flexible framework for representing complex kidnapping dynamics through systems of nonlinear differential equations. This study developed a fractional-order compartmental model based on the Caputo derivative and applied the Laplace–Adomian Decomposition Method (LADM) to derive approximate solutions to the resulting nonlinear system. The LADM procedure generated an infinite-series representation that converged to the exact solution of the system. Numerical simulations were subsequently performed using Maple to validate the approximate solutions across fractional-order values ranging from 0.95 to 1.00. A comparison between the fractional-order and classical models showed that the fractional formulation provides greater flexibility in representing system behavior, allowing outcomes in the different compartments to be adjusted by varying the fractional order. The study demonstrates that LADM provides a convergent and computationally effective approach for solving the proposed fractional-order kidnapping model. These findings contribute to the mathematical modeling of kidnapping dynamics by providing an adaptable analytical framework for examining variations in compartmental outcomes that may not be captured as flexibly by the corresponding classical model.

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Journal Info

Abbrev

MJMS

Publisher

Subject

Engineering Mathematics Mechanical Engineering

Description

The journal contains scientific articles covering topics such as mathematical theory, statistical methods, the application of mathematics in various disciplines, and statistical data analysis. The primary objective of this journal is to promote a better understanding of mathematical and statistical ...