Mathematical modeling of allelopathic stimulatory phytoplankton species using fractal–fractional derivatives
Abstract In the current study, we employ the novel fractal–fractional operator in the Atangana–Baleanu sense to investigate the dynamics of an interacting phytoplankton species model. Initially, we utilize the Picard-Lindelöf theorem to validate the uniqueness and existence of solutions for the mode...
| Published in: | Scientific Reports |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-08-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-70596-z |
| _version_ | 1849922215110246400 |
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| author | Sangeeta Kumawat Sanjay Bhatter Bhamini Bhatia Sunil Dutt Purohit D. L. Suthar |
| author_facet | Sangeeta Kumawat Sanjay Bhatter Bhamini Bhatia Sunil Dutt Purohit D. L. Suthar |
| author_sort | Sangeeta Kumawat |
| collection | DOAJ |
| container_title | Scientific Reports |
| description | Abstract In the current study, we employ the novel fractal–fractional operator in the Atangana–Baleanu sense to investigate the dynamics of an interacting phytoplankton species model. Initially, we utilize the Picard-Lindelöf theorem to validate the uniqueness and existence of solutions for the model. We then explore equilibrium points within the phytoplankton model and conduct Hyers–Ulam stability analysis. Additionally, we present a numerical scheme utilizing the Newton polynomial to validate our analytical findings. Numerical simulations illustrate the dynamical behavior of the model across various fractal and fractional parameter values, visualized through graphical representations. Our simulations reveal that the stability of equilibrium points is not significantly impacted with the long-term memory effect, which is characterized by fractal–fractional order values. However, an increase in fractal–fractional parameters accelerates the convergence of solutions to their intended equilibrium states. |
| format | Article |
| id | doaj-art-70b3f00a561c4a33aa0d9ea544ebf43c |
| institution | Directory of Open Access Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| spelling | doaj-art-70b3f00a561c4a33aa0d9ea544ebf43c2025-08-20T00:55:15ZengNature PortfolioScientific Reports2045-23222024-08-0114111410.1038/s41598-024-70596-zMathematical modeling of allelopathic stimulatory phytoplankton species using fractal–fractional derivativesSangeeta Kumawat0Sanjay Bhatter1Bhamini Bhatia2Sunil Dutt Purohit3D. L. Suthar4Department of Mathematics, Malaviya National Institute of Technology JaipurDepartment of Mathematics, Malaviya National Institute of Technology JaipurDepartment of Mathematics, Malaviya National Institute of Technology JaipurDepartment of HEAS (Mathematics), Rajasthan Technical University, KotaDepartment of Mathematics, Wollo UniversityAbstract In the current study, we employ the novel fractal–fractional operator in the Atangana–Baleanu sense to investigate the dynamics of an interacting phytoplankton species model. Initially, we utilize the Picard-Lindelöf theorem to validate the uniqueness and existence of solutions for the model. We then explore equilibrium points within the phytoplankton model and conduct Hyers–Ulam stability analysis. Additionally, we present a numerical scheme utilizing the Newton polynomial to validate our analytical findings. Numerical simulations illustrate the dynamical behavior of the model across various fractal and fractional parameter values, visualized through graphical representations. Our simulations reveal that the stability of equilibrium points is not significantly impacted with the long-term memory effect, which is characterized by fractal–fractional order values. However, an increase in fractal–fractional parameters accelerates the convergence of solutions to their intended equilibrium states.https://doi.org/10.1038/s41598-024-70596-zPhytoplankton interactionFractal-fractional operatorAtangana-Baleanu derivativeStability analysisNumerical simulations |
| spellingShingle | Sangeeta Kumawat Sanjay Bhatter Bhamini Bhatia Sunil Dutt Purohit D. L. Suthar Mathematical modeling of allelopathic stimulatory phytoplankton species using fractal–fractional derivatives Phytoplankton interaction Fractal-fractional operator Atangana-Baleanu derivative Stability analysis Numerical simulations |
| title | Mathematical modeling of allelopathic stimulatory phytoplankton species using fractal–fractional derivatives |
| title_full | Mathematical modeling of allelopathic stimulatory phytoplankton species using fractal–fractional derivatives |
| title_fullStr | Mathematical modeling of allelopathic stimulatory phytoplankton species using fractal–fractional derivatives |
| title_full_unstemmed | Mathematical modeling of allelopathic stimulatory phytoplankton species using fractal–fractional derivatives |
| title_short | Mathematical modeling of allelopathic stimulatory phytoplankton species using fractal–fractional derivatives |
| title_sort | mathematical modeling of allelopathic stimulatory phytoplankton species using fractal fractional derivatives |
| topic | Phytoplankton interaction Fractal-fractional operator Atangana-Baleanu derivative Stability analysis Numerical simulations |
| url | https://doi.org/10.1038/s41598-024-70596-z |
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