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An efficient spline technique for solving time-fractional integro-differential equations.

Muhammad Abbas1, Sadia Aslam1, Farah Aini Abdullah2

  • 1Department of Mathematics, University of Sargodha, Sargodha 40100, Pakistan.

Heliyon
|October 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an extended cubic B-spline (ExCuBS) method for solving fractional partial integro-differential equations. The novel approach provides a stable and convergent numerical solution for complex mathematical models.

Keywords:
ApproximationCaputo's fractional derivativeExCuBSFinite difference schemeFractional order partial integro-differential equationStability and convergence

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Area of Science:

  • Numerical Analysis
  • Applied Mathematics
  • Computational Science

Background:

  • Spline curves are essential in mathematics for approximating complex structures.
  • Fractional partial integro-differential equations (FPIDE) model various phenomena but are challenging to solve.
  • Weakly singular kernels (SK) present additional complexity in these equations.

Purpose of the Study:

  • To develop a numerical method for solving non-linear fractional partial integro-differential equations (FPIDE) with weakly singular kernels (SK).
  • To utilize extended cubic B-spline (ExCuBS) functions and a novel second-order derivative approximation.

Main Methods:

  • Discretization of spatial fractional derivatives using extended cubic B-spline (ExCuBS) functions.
  • Discretization of temporal fractional derivatives employing the Caputo finite difference scheme.
  • Implementation of a new second-order derivative approximation for enhanced accuracy.

Main Results:

  • The proposed ExCuBS method demonstrates stability and convergence for solving FPIDE.
  • Numerical solutions obtained through the ExCuBS method are validated against existing literature.
  • The approach effectively approximates complex structures within curved designs.

Conclusions:

  • The extended cubic B-spline (ExCuBS) method offers a robust and accurate technique for solving non-linear FPIDE with SK.
  • The study confirms the stability and convergence properties of the proposed numerical scheme.
  • This method provides a valuable tool for researchers working with fractional calculus and its applications.