Numerical Analysis of a Class of Fractional-Order Nonlinearity Anomalous Subdiffusion Systems

Many natural phenomena, such as physical, chemical, and biological processes, can be described using n-coupled nonlinearity anomalous subdiffusion systems. Furthermore, fractional differential equations are a useful tool for modeling practical problems in science because they allow for the incorporation of infinite memory through the consideration of previous states. This paper proposes numerical and analytical techniques for studying n-coupled fractional-order nonlinearity anomalous subdiffusion systems, including the construction of improved implicit difference methods and the discussion of stability and convergence using energy methods. The stability and convergence conditions are determined based on different implicit methods. The obtained conditions are related to the system dimension n. The effectiveness of the theoretical results is demonstrated using two numerical examples.

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Journal
Fractal and Fractional
Published
2025-06-27
DOI
https://doi.org/10.3390/fractalfract9070420
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical Analysis of a Class of Fractional-Order Nonlinearity Anomalous Subdiffusion Systems

Yajuan Gu, Yongguang Yu, Wang Hu
Fractal and Fractional
Fractional Differential Equations Solutions
article

Numerical Analysis of a Class of Fractional-Order Nonlinearity Anomalous Subdiffusion Systems

Yajuan Gu, Yongguang Yu, Wang Hu
article en

Abstract

Many natural phenomena, such as physical, chemical, and biological processes, can be described using n-coupled nonlinearity anomalous subdiffusion systems. Furthermore, fractional differential equations are a useful tool for modeling practical problems in science because they allow for the incorporation of infinite memory through the consideration of previous states. This paper proposes numerical and analytical techniques for studying n-coupled fractional-order nonlinearity anomalous subdiffusion systems, including the construction of improved implicit difference methods and the discussion of stability and convergence using energy methods. The stability and convergence conditions are determined based on different implicit methods. The obtained conditions are related to the system dimension n. The effectiveness of the theoretical results is demonstrated using two numerical examples.

Fractal and FractionalVol. 9(7)
Central University of Finance and Economics (CN), Beijing Jiaotong University (CN), Beijing Information Science & Technology University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 82%
Fractional Differential Equations Solutions
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Numerical Analysis of a Class of Fractional-Order Nonlinearity Anomalous Subdiffusion Systems — Yajuan Gu, Yongguang Yu, et al. · Fractal and Fractional (2025) | TGRS Research Map | TGRS