A Fast High-Order Compact Difference Scheme for Time-Fractional KS Equation with the Generalized Burgers’ Type Nonlinearity

This work integrates the fast Alikhanov method with a compact scheme to solve the time-fractional Kuramoto–Sivashinsky (KS) equation with the generalized Burgers’ type nonlinearity. Initially, the Alikhanov algorithm, designed to handle the Caputo fractional derivative on non-uniform time grids, effectively avoids the initial singularity. Additionally, the combination of the Alikhanov method with the sum-of-exponentials (SOE) technique significantly reduces both computational cost and memory requirements. By discretizing the spatial direction using a compact finite difference method, a fully discrete scheme is developed, achieving fourth-order convergence in the spatial domain. Stability and convergence are analyzed through energy methods. Several numerical examples are provided to validate the theoretical framework, demonstrating that the proposed algorithm is accurate, stable, and efficient.

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Publication Details

Journal
Fractal and Fractional
Published
2025-03-30
DOI
https://doi.org/10.3390/fractalfract9040218
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37

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article

A Fast High-Order Compact Difference Scheme for Time-Fractional KS Equation with the Generalized Burgers’ Type Nonlinearity

Huifa Jiang, Da Xu
1 citations
Fractal and Fractional
Fractional Differential Equations Solutions
1.37
article

A Fast High-Order Compact Difference Scheme for Time-Fractional KS Equation with the Generalized Burgers’ Type Nonlinearity

Huifa Jiang, Da Xu
article en
1 citations

Abstract

This work integrates the fast Alikhanov method with a compact scheme to solve the time-fractional Kuramoto–Sivashinsky (KS) equation with the generalized Burgers’ type nonlinearity. Initially, the Alikhanov algorithm, designed to handle the Caputo fractional derivative on non-uniform time grids, effectively avoids the initial singularity. Additionally, the combination of the Alikhanov method with the sum-of-exponentials (SOE) technique significantly reduces both computational cost and memory requirements. By discretizing the spatial direction using a compact finite difference method, a fully discrete scheme is developed, achieving fourth-order convergence in the spatial domain. Stability and convergence are analyzed through energy methods. Several numerical examples are provided to validate the theoretical framework, demonstrating that the proposed algorithm is accurate, stable, and efficient.

Fractal and FractionalVol. 9(4)
Hunan Normal University (CN), Changsha Normal University (CN), Hunan University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Fractional Differential Equations Solutions
1.37
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