A finite volume element method for the multi-term time fractional reaction-diffusion models with variable coefficients

In this paper, a fully discrete finite volume element (FVE) scheme is proposed to treat the linear multi-term time fractional reaction-diffusion models with variable coefficients on triangular grids, where the Caputo fractional derivative of time variable is approximated by the $ L1 $ formula. The existence and uniqueness of solution for the proposed scheme is proved based on the matrix theories, the stability results are derived in detail by using a multi-term fractional Gronwall inequality, and the optimal error estimates under the $ L^2(\Omega) $ and $ H^1(\Omega) $ norms are also obtained. Owing to the variable coefficients in the models, a special technique should be used to analyze the stability and error estimates. Finally, three numerical examples with different fractional derivative terms are given to validate the feasibility and effectiveness.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025924
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

A finite volume element method for the multi-term time fractional reaction-diffusion models with variable coefficients

Jie Zhao, Zhichao Fang, Jing Ren
AIMS Mathematics
Fractional Differential Equations Solutions
article

A finite volume element method for the multi-term time fractional reaction-diffusion models with variable coefficients

Jie Zhao, Zhichao Fang, Jing Ren
article en

Abstract

In this paper, a fully discrete finite volume element (FVE) scheme is proposed to treat the linear multi-term time fractional reaction-diffusion models with variable coefficients on triangular grids, where the Caputo fractional derivative of time variable is approximated by the $ L1 $ formula. The existence and uniqueness of solution for the proposed scheme is proved based on the matrix theories, the stability results are derived in detail by using a multi-term fractional Gronwall inequality, and the optimal error estimates under the $ L^2(\Omega) $ and $ H^1(\Omega) $ norms are also obtained. Owing to the variable coefficients in the models, a special technique should be used to analyze the stability and error estimates. Finally, three numerical examples with different fractional derivative terms are given to validate the feasibility and effectiveness.

AIMS MathematicsVol. 10(9)
Inner Mongolia University of Finance and Economics (CN), Inner Mongolia University (CN)
Openalex Percentile: Top 72%
Fractional Differential Equations Solutions
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