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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Fractional dynamics of socio-ecological collapse: Nonlocal memory operators and hereditary stability in coupled
A Elamri1, H Moussa1, H Sabiki2
1Sultan Moulay Slimane University, Faculty of Science and Technology, "Mathematics and Applications" Laboratory, Beni Mellal, Morocco.
Abstract:
Inspired by the coupled human-Earth system framework of Anderies et al. (2023), we develop a fractional-order extension using Caputo derivatives to model memory effects in socio-ecological collapse dynamics. The model describes interactions between population growth, capital accumulation, and environmental degradation through a coupled system of fractional differential equations with component-dependent memory orders α1,α2,α3. We establish existence, uniqueness, and Ulam-Hyers stability of solutions under suitable assumptions. Numerical simulations based on the L1 approximation method compare the classical case with fractional-order regimes and show how population dynamics, capital inertia, and environmental memory influence transient behavior and degradation timing. This work extends the original coupled socio-ecological framework by incorporating hereditary dynamics and provides a mathematical tool for studying path dependence and delayed responses in human-environment systems.
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