Math. Model. Nat. Phenom.
Volume 16, 2021
Fractional Dynamics in Natural Phenomena
|Number of page(s)||26|
|Published online||18 June 2021|
On numerical approximation of Atangana-Baleanu-Caputo fractional integro-differential equations under uncertainty in Hilbert Space
Department of Applied Science, Ajloun College, Al-Balqa Applied University,
2 Nonlinear Dynamics Research Center (NDRC), Ajman University, Ajman, UAE.
3 Department of Mathematics, Gauhati University, Gawahati, 781 014 Assam, India.
4 Department of Mathematics, Faculty of Science, The University of Jordan, Amman 11942, Jordan.
* Corresponding author: hemen firstname.lastname@example.org
Accepted: 24 May 2021
Many dynamic systems can be modeled by fractional differential equations in which some external parameters occur under uncertainty. Although these parameters increase the complexity, they present more acceptable solutions. With the aid of Atangana-Baleanu-Caputo (ABC) fractional differential operator, an advanced numerical-analysis approach is considered and applied in this work to deal with different classes of fuzzy integrodifferential equations of fractional order fitted with uncertain constraints conditions. The fractional derivative of ABC is adopted under the generalized H-differentiability (g-HD) framework, which uses the Mittag-Leffler function as a nonlocal kernel to better describe the timescale of the fuzzy models. Towards this end, applications of reproducing kernel algorithm are extended to solve classes of linear and nonlinear fuzzy fractional ABC Volterra-Fredholm integrodifferential equations. Based on the characterization theorem, preconditions are established under the Lipschitz condition to characterize the fuzzy solution in a coupled equivalent system of crisp ABC integrodifferential equations. Parametric solutions of the ABC interval are provided in terms of rapidly convergent series in Sobolev spaces. Several examples of fuzzy ABC Volterra-Fredholm models are implemented in light of g-HD to demonstrate the feasibility and efficiency of the designed algorithm. Numerical and graphical representations of both classical Caputo and ABC fractional derivatives are presented to show the effect of the ABC derivative on the parametric solutions of the posed models. The achieved results reveal that the proposed method is systematic and suitable for dealing with the fuzzy fractional problems arising in physics, technology, and engineering in terms of the ABC fractional derivative.
Mathematics Subject Classification: 45B05 / 47B32 / 34A07 / 34A08 / 45L05
Key words: Reproducing kernel algorithm / Fredholm-Volterra equation / characterization theorem for fuzzy integrodifferential equation / generalized H-differentiability / Atangana-Baleanu-Caputo derivative
© The authors. Published by EDP Sciences, 2021
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