Product integration techniques for fractional integro‐differential equations

This article presents an application of approximate product integration (API) to find the numerical solution of fractional order Volterra integro‐differential equation based on Caputo non‐integer derivative of order , where . Also, the idea is extended to a class of fractional order Volterra integro‐differential equation with a weakly singular kernel. For this purpose, two numerical schemes are established by utilizing the concept of the API method, and L1 and L1‐2 formulae. We applied L1 and L1‐2 discretization to approximate the Caputo non‐integer derivative. At the same time, Taylor's series expansion of an unknown function is taken into consideration when approximating the Volterra part in the considered mathematical model using the API method. Combination of API method with L1 and L1‐2 formula provided the order of convergence and for Scheme‐I and Scheme‐II, respectively. The derived techniques reduced the proposed model to a set of algebraic equations that can be resolved using well‐known numerical algorithms. Furthermore, the unconditional stability, convergence, and numerical stability of the formulated schemes have been rigorously investigated. Finally, we conducted some numerical experiments to validate our theoretical findings and guarantee the accuracy and efficiency of the recommended schemes. The comparison between the numerical outcomes obtained by proposed schemes and existing numerical techniques has also been provided through tables and graphs.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2024-09-09
DOI
https://doi.org/10.1002/mma.10464
Citations
6
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
2.37

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article

Product integration techniques for fractional integro‐differential equations

Sunil Kumar, Vineet Kumar Singh, Poonam Yadav
6 citations
Mathematical Methods in the Applied Sciences
Fractional Differential Equations Solutions
2.37
article

Product integration techniques for fractional integro‐differential equations

Sunil Kumar, Vineet Kumar Singh, Poonam Yadav
article en
6 citations

Abstract

This article presents an application of approximate product integration (API) to find the numerical solution of fractional order Volterra integro‐differential equation based on Caputo non‐integer derivative of order , where . Also, the idea is extended to a class of fractional order Volterra integro‐differential equation with a weakly singular kernel. For this purpose, two numerical schemes are established by utilizing the concept of the API method, and L1 and L1‐2 formulae. We applied L1 and L1‐2 discretization to approximate the Caputo non‐integer derivative. At the same time, Taylor's series expansion of an unknown function is taken into consideration when approximating the Volterra part in the considered mathematical model using the API method. Combination of API method with L1 and L1‐2 formula provided the order of convergence and for Scheme‐I and Scheme‐II, respectively. The derived techniques reduced the proposed model to a set of algebraic equations that can be resolved using well‐known numerical algorithms. Furthermore, the unconditional stability, convergence, and numerical stability of the formulated schemes have been rigorously investigated. Finally, we conducted some numerical experiments to validate our theoretical findings and guarantee the accuracy and efficiency of the recommended schemes. The comparison between the numerical outcomes obtained by proposed schemes and existing numerical techniques has also been provided through tables and graphs.

Mathematical Methods in the Applied SciencesVol. 48(3)
Banaras Hindu University (IN)
University Grants Commission, Council of Science and Technology, U.P.
Openalex Percentile: Top 12%
Fractional Differential Equations Solutions
2.37
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Product integration techniques for fractional integro‐differential equations — Sunil Kumar, Vineet Kumar Singh, et al. · Mathematical Methods in the Applied Sciences (2024) | TGRS Research Map | TGRS