Second-Order L1 Schemes for Fractional Differential Equations

Difference schemes for the numerical solution of fractional differential equations rely on discretizations of the fractional derivative. In this paper, we obtain the second-order expansion formula for the L1 approximation of the Caputo fractional derivative. Second-order approximations of the fractional derivative are constructed based on the expansion formula and parameter-dependent discretizations of the second derivative. Examples illustrating the application of these approximations to the numerical solution of ordinary and partial fractional differential equations are presented, and the convergence and order of the difference schemes are proved. Numerical experiments are also provided, confirming the theoretical predictions for the accuracy of the numerical methods.

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Publication Details

Journal
Fractal and Fractional
Published
2025-12-13
DOI
https://doi.org/10.3390/fractalfract9120816
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Second-Order L1 Schemes for Fractional Differential Equations

Yuri Dimitrov, Radan Miryanov, Slavi Georgiev, Venelin Todorov
Fractal and Fractional
Fractional Differential Equations Solutions
article

Second-Order L1 Schemes for Fractional Differential Equations

Yuri Dimitrov, Radan Miryanov, Slavi Georgiev, Venelin Todorov
article en

Abstract

Difference schemes for the numerical solution of fractional differential equations rely on discretizations of the fractional derivative. In this paper, we obtain the second-order expansion formula for the L1 approximation of the Caputo fractional derivative. Second-order approximations of the fractional derivative are constructed based on the expansion formula and parameter-dependent discretizations of the second derivative. Examples illustrating the application of these approximations to the numerical solution of ordinary and partial fractional differential equations are presented, and the convergence and order of the difference schemes are proved. Numerical experiments are also provided, confirming the theoretical predictions for the accuracy of the numerical methods.

Fractal and FractionalVol. 9(12)
University of Economics Varna (BG), University of Forestry (BG), Bulgarian Academy of Sciences (BG), Institute of Mathematics and Informatics (BG), Institute of Information and Communication Technologies (BG), Angel Kanchev University of Ruse (BG)
Openalex Percentile: Top 56%
Fractional Differential Equations Solutions
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