Dynamical Analysis of Two-Dimensional Fractional-Order-in-Time Biological Population Model Using Chebyshev Spectral Method
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| Název: | Dynamical Analysis of Two-Dimensional Fractional-Order-in-Time Biological Population Model Using Chebyshev Spectral Method |
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| Autoři: | Ishtiaq Ali |
| Zdroj: | Fractal and Fractional, Vol 8, Iss 6, p 325 (2024) |
| Informace o vydavateli: | MDPI AG |
| Rok vydání: | 2024 |
| Sbírka: | Directory of Open Access Journals: DOAJ Articles |
| Témata: | fractional-order-in-time biological population model, Chebyshev spectral method, error analysis, numerical examples, Thermodynamics, QC310.15-319, Mathematics, QA1-939, Analysis, QA299.6-433 |
| Popis: | In this study, we investigate the application of fractional calculus to the mathematical modeling of biological systems, focusing on fractional-order-in-time partial differential equations (FTPDEs). Fractional derivatives, especially those defined in the Caputo sense, provide a useful tool for modeling memory and hereditary characteristics, which are problems that are frequently faced with integer-order models. We use the Chebyshev spectral approach for spatial derivatives, which is known for its faster convergence rate, in conjunction with the |
| Druh dokumentu: | article in journal/newspaper |
| Jazyk: | English |
| Relation: | https://www.mdpi.com/2504-3110/8/6/325; https://doaj.org/toc/2504-3110; https://doaj.org/article/4000d2aac90346358bd70ec124ff736d |
| DOI: | 10.3390/fractalfract8060325 |
| Dostupnost: | https://doi.org/10.3390/fractalfract8060325 https://doaj.org/article/4000d2aac90346358bd70ec124ff736d |
| Přístupové číslo: | edsbas.3D5E0A4A |
| Databáze: | BASE |
| Abstrakt: | In this study, we investigate the application of fractional calculus to the mathematical modeling of biological systems, focusing on fractional-order-in-time partial differential equations (FTPDEs). Fractional derivatives, especially those defined in the Caputo sense, provide a useful tool for modeling memory and hereditary characteristics, which are problems that are frequently faced with integer-order models. We use the Chebyshev spectral approach for spatial derivatives, which is known for its faster convergence rate, in conjunction with the <semantics> L 1 </semantics> scheme for time-fractional derivatives because of its high accuracy and robustness in handling nonlocal effects. A detailed theoretical analysis, followed by a number of numerical experiments, is performed to confirmed the theoretical justification. Our simulation results show that our numerical technique significantly improves the convergence rates, effectively tackles computing difficulties, and provides a realistic simulation of biological population dynamics. |
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| DOI: | 10.3390/fractalfract8060325 |
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