Some application of ordinary differential equations in several areas of the economy
Hongmei Xia,
Meirong Yang,
Guoxiang Han,
Yuchuan Huang,
Yudong Fang and
Dongyue Meng
Chaos, Solitons & Fractals, 2026, vol. 202, issue P1
Abstract:
Market research typically relies on supply and demand curves, but studies analysing market stability using ordinary differential equations (ODEs) remain insufficient. This study presents a unified multidimensional ODE framework that integrates linear and nonlinear demand functions with inventory dynamics to systematically assess market equilibrium stability. Key findings include: Li et al. (2025) (1) linear demand models consistently produce stable equilibria; Sinha and Lucheroni (2024) (2) nonlinear demand functions can yield multiple outcomes, including two equilibria (one stable, one unstable), a single unstable point, or no equilibrium, depending on parameters and initial conditions; and (Shapiro, 2024 (3)) inventory effects lead to either gradual or oscillatory convergence to equilibrium. Bifurcation analysis shows that variations in the α parameter significantly affect equilibrium and stability, especially in nonlinear models with complex dynamics. MATLAB simulations visualize and validate the results, enhancing clarity and practical relevance. This research provides new insights into dynamic supply-demand interactions and establishes a solid theoretical foundation for future economic analysis.
Keywords: Demand-supply model; Line demand; Non-line demand; Inventory; Ordinary differential equations (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:202:y:2026:i:p1:s0960077925014419
DOI: 10.1016/j.chaos.2025.117428
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