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Research Article | Open Access

Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator

Qiliang Chen1 Dipesh2( )Pankaj Kumar2Haci Mehmet Baskonus3( )
School of Economics and Finance, Chongqing University of Technology, Chongqing, China
Department of Mathematics, Lovely Professional University, Phagwara- 144411, India
Department of Mathematics and Science Education, Faculty of Education, Harran University, Şanlıurfa, Türkiye
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Abstract

In this paper, to investigate the dynamic interplay between supply and demand, with a focus on collectability, a novel mathematical model was introduced via conformable operator. This model considers the possibility that operating expenses or a lack of raw materials causes a manufacturing delay than the supply of goods instantly matching demand. This maturation (delay) is represented by the delay factor ( τ ) . Stability analysis revolves around the equilibrium point other than zero. Chaotic behavior emerges through Hopf bifurcation at the critical delay parameter value. If this delay parameter is even slightly perturbed, oscillatory limit cycles can be induced in the market dynamics, leading to equilibrium with brisk market expansion, frequent recessions, and sudden collapses. We conducted sensitivity and directional analysis on a number of factors while also examining the stability and duration of the Hopf bifurcation. Numerical findings were validated using MATLAB. Additionally, the Caputo operator was used to examine the fractional of demand and supply dynamics. Importantly, we assumed a pivotal role in advancing fair labor practices and fostering economic growth on a national scale.

CLC number: 34Axx, 34Dxx, 34Fxx

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AIMS Mathematics
Pages 7471-7191

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Cite this article:
Chen Q, Dipesh, Kumar P, et al. Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator. AIMS Mathematics, 2024, 9(3): 7471-7191. https://doi.org/10.3934/math.2024362

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Received: 28 December 2024
Revised: 05 February 2024
Accepted: 08 February 2024
Published: 15 March 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)