A New L2 Type Difference Scheme for the Time-Fractional Diffusion Equation

In this paper, a new L2 (NL2) scheme is proposed to approximate the Caputo temporal fractional derivative, leading to a time-stepping scheme for the time-fractional diffusion equation (TFDE). Subsequently, the space derivative of the resulting system is discretized using a specific finite difference method, yielding a fully discrete system. We then establish the H1-norm stability and convergence of the time-stepping scheme on uniform meshes for the TFDE. In particular, we prove that the proposed scheme has (3−α)th-order accuracy, where α (0<α<1) is the order of the time-fractional derivative. Finally, numerical experiments for several test problems are carried out to validate the obtained theoretical results.

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Publication Details

Journal
Fractal and Fractional
Published
2025-05-20
DOI
https://doi.org/10.3390/fractalfract9050325
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

A New L2 Type Difference Scheme for the Time-Fractional Diffusion Equation

Chengyu Hu, Fu‐Rong Lin
Fractal and Fractional
Fractional Differential Equations Solutions
article

A New L2 Type Difference Scheme for the Time-Fractional Diffusion Equation

Chengyu Hu, Fu‐Rong Lin
article en

Abstract

In this paper, a new L2 (NL2) scheme is proposed to approximate the Caputo temporal fractional derivative, leading to a time-stepping scheme for the time-fractional diffusion equation (TFDE). Subsequently, the space derivative of the resulting system is discretized using a specific finite difference method, yielding a fully discrete system. We then establish the H1-norm stability and convergence of the time-stepping scheme on uniform meshes for the TFDE. In particular, we prove that the proposed scheme has (3−α)th-order accuracy, where α (0<α<1) is the order of the time-fractional derivative. Finally, numerical experiments for several test problems are carried out to validate the obtained theoretical results.

Fractal and FractionalVol. 9(5)
Shantou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 87%
Fractional Differential Equations Solutions
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