Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/14926
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dc.contributor.authorGhosh, Bapanen_US
dc.date.accessioned2024-12-18T10:34:08Z-
dc.date.available2024-12-18T10:34:08Z-
dc.date.issued2024-
dc.identifier.citationGhosh, B. (2024). Fractional order modeling of ecological and epidemiological systems: Ambiguities and challenges. Journal of Analysis. Scopus. https://doi.org/10.1007/s41478-024-00836-yen_US
dc.identifier.issn0971-3611-
dc.identifier.otherEID(2-s2.0-85205602546)-
dc.identifier.urihttps://doi.org/10.1007/s41478-024-00836-y-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/14926-
dc.description.abstractFractional calculus is as old as the classical calculus. The classical calculus has been far enriched compared to the fractional calculus. However, in the last few decades, researchers have established new theories with non-trivial mathematical analysis in Fractional Calculus, and particularly the mathematicians continue their speedy progress in the field. Fractional differential equations have received immense popularity in modeling real-world events last few years, especially in modeling ecological and epidemiological systems. In this Survey Paper, we shall show that several population dynamics models in the existing literature are dimensionally inconsistent, and hence, those cannot be considered as realistic models. We shall demonstrate that the dimensions of the Caputo derivative and the conformal derivative are defined, and hence, these can be applied to build dimensionally homogeneous models. This survey paper, for the first time, uncovers that the Caputo-Fabrizio, Atangana-Baleanu-Caputo, and Caputo-Hadamard derivatives do not have any well-defined dimensions. Therefore, these derivatives should be rejected in describing ecological interaction and epidemiological dynamics. Often a time, several articles implemented real data in dimensionally inhomogeneous fractional order systems. Hence, it is questionable whether such fractional-order models could capture well coherent information about real events. We shall also highlight some other related ambiguities in the existing contributions and then present a few cautions (especially parameter readjustment and fixing parameter values) that should be taken care of in developing fractional order models. Finally, some challenges and open problems are proposed that might enrich the fractional order modelling framework significantly. © The Author(s), under exclusive licence to The Forum D’Analystes 2024.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media B.V.en_US
dc.sourceJournal of Analysisen_US
dc.subjectCaputo derivativeen_US
dc.subjectCaputo-Fabrizio derivativeen_US
dc.subjectDimension and unitsen_US
dc.subjectDimensional homogeneityen_US
dc.subjectFractional calculusen_US
dc.subjectPopulation modelsen_US
dc.titleFractional order modeling of ecological and epidemiological systems: ambiguities and challengesen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Mathematics

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