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An adaptive numerical approach for the solutions of fractional advection–diffusion and dispersion equations in singular case under Riesz’s derivative operator

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  • Abu Arqub, Omar
  • Al-Smadi, Mohammed

Abstract

The fractional diffusion and dispersion equations are reinterpreted in determining the effect of fluid flow and displacement processes through certain compressible phenomena and then reconstructed by considering the flow conductivity, energy balance, flow chambers with the interconnected pores, and diffusion flow system. The adaptive reproducing kernel approach is formulated and analyzed to investigate numerical solutions of fractional advection-diffusion and dispersion equations in singular case on a finite domain with Riesz’s fractional derivative. In such alternative representation, the reproducing kernel functions are obtained to provide analytic and approximate solutions in desired Hilbert spaces. To enable the utilized approach more, convergent analysis and error estimates are also given. To assure our results, some features with numerical experiments are presented to confirm the theoretical analysis and to illustrate the performance and effectiveness of the proposed scheme. Graphical and comparisons indicate the significant improvement of the algorithm in solving many singular fractional problems arising in physical issues.

Suggested Citation

  • Abu Arqub, Omar & Al-Smadi, Mohammed, 2020. "An adaptive numerical approach for the solutions of fractional advection–diffusion and dispersion equations in singular case under Riesz’s derivative operator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s037843711931828x
    DOI: 10.1016/j.physa.2019.123257
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    References listed on IDEAS

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    1. Abu Arqub, Omar & Maayah, Banan, 2019. "Modulation of reproducing kernel Hilbert space method for numerical solutions of Riccati and Bernoulli equations in the Atangana-Baleanu fractional sense," Chaos, Solitons & Fractals, Elsevier, vol. 125(C), pages 163-170.
    2. Qureshi, Sania & Yusuf, Abdullahi, 2019. "Modeling chickenpox disease with fractional derivatives: From caputo to atangana-baleanu," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 111-118.
    3. Hengfei Ding & Changpin Li & YangQuan Chen, 2014. "High-Order Algorithms for Riesz Derivative and Their Applications," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-17, May.
    4. Qureshi, Sania & Atangana, Abdon, 2019. "Mathematical analysis of dengue fever outbreak by novel fractional operators with field data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    5. Alquran, Marwan & Jaradat, Imad, 2019. "Delay-asymptotic solutions for the time-fractional delay-type wave equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    6. El-Ajou, Ahmad & Abu Arqub, Omar & Momani, Shaher & Baleanu, Dumitru & Alsaedi, Ahmed, 2015. "A novel expansion iterative method for solving linear partial differential equations of fractional order," Applied Mathematics and Computation, Elsevier, vol. 257(C), pages 119-133.
    7. Arqub, Omar Abu & Maayah, Banan, 2018. "Numerical solutions of integrodifferential equations of Fredholm operator type in the sense of the Atangana–Baleanu fractional operator," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 117-124.
    8. Arqub, Omar Abu & Maayah, Banan, 2019. "Fitted fractional reproducing kernel algorithm for the numerical solutions of ABC – Fractional Volterra integro-differential equations," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 394-402.
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    Cited by:

    1. Al-Smadi, Mohammed & Arqub, Omar Abu & Zeidan, Dia, 2021. "Fuzzy fractional differential equations under the Mittag-Leffler kernel differential operator of the ABC approach: Theorems and applications," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    2. Hasan, Shatha & El-Ajou, Ahmad & Hadid, Samir & Al-Smadi, Mohammed & Momani, Shaher, 2020. "Atangana-Baleanu fractional framework of reproducing kernel technique in solving fractional population dynamics system," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    3. Djennadi, Smina & Shawagfeh, Nabil & Abu Arqub, Omar, 2021. "A fractional Tikhonov regularization method for an inverse backward and source problems in the time-space fractional diffusion equations," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    4. Omar Abu Arqub & Mohamed S. Osman & Abdel-Haleem Abdel-Aty & Abdel-Baset A. Mohamed & Shaher Momani, 2020. "A Numerical Algorithm for the Solutions of ABC Singular Lane–Emden Type Models Arising in Astrophysics Using Reproducing Kernel Discretization Method," Mathematics, MDPI, vol. 8(6), pages 1-15, June.

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