A Unified Approach for the Fractional System of Equations Arising in the Biochemical Reaction without Singular Kernel
- Authors: P. Veeresha1, M.S. Kiran2, L. Akinyemi3, Mehmet Yavuz4
-
View Affiliations Hide Affiliations1 Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru 560029, India 2 Research Centre, Department of Chemistry, GM Institute of Technology, Davangere 577006, India 3 Department of Mathematics, Lafayette College, Easton, Pennsylvania, USA 4 Department of Mathematics and Computer Sciences, Necmettin Erbakan University, 42090 Konya, Turkey
- Source: Fractional Calculus: New Applications in Understanding Nonlinear Phenomena , pp 210-231
- Publication Date: December 2022
- Language: English
A Unified Approach for the Fractional System of Equations Arising in the Biochemical Reaction without Singular Kernel, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9789815051933/chapter-9-1.gif
The pivotal aim of the present work is to find the solution for the fractional system of equations arising in the biochemical reaction using q-homotopy analysis transform method (q-HATM). The hired scheme technique unification of Laplace transform with q-homotopy analysis method, and fractional derivative defined with Caputo-Fabrizio (CF) operator. To validate and illustrate the competence of the future method, we examined the model in terms of fractional order. The fixed-point theorem hired to demonstrates the existence and uniqueness. Moreover, the physical nature of achieved solutions has been captured in terms of plots for different order. The obtained results elucidate that the considered algorithm is easy to implement, highly methodical, and very effective as well as accurate to analyse the nature of nonlinear differential equations of fractional order arising in the connected areas of science and engineering.
-
From This Site
/content/books/9789815051933.chapter-9dcterms_subject,pub_keyword-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData105