An Improved Finite Element Method with Unconditional Positivity for a Reaction-diffusion HIV Infection Model with Spatial Heterogeneity

This paper develops an improved finite element method for the reaction-diffusion HIV infection model with spatial heterogeneity. By introducing the h-inner product, the positivity of numerical solutions is unconditionally guaranteed without mesh constraints, overcoming a key limitation of classical methods. The boundedness, convergence, and global stability threshold of the disease-free equilibrium are established. The linearly implicit Euler method is adopted to avoid step-size restrictions of explicit schemes while reducing computational cost of implicit ones. The full-discrete scheme achieves first-order convergence in space and time, preserves positivity and boundedness, and shares the same stability threshold as the semi-discrete system. This work provides reliable theoretical foundations for the efficient and structure-preserving simulation of spatially heterogeneous epidemic models.

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Publication Details

Journal
International Journal of Biomathematics
Published
2026-07-24
DOI
https://doi.org/10.1142/s1793524526500774
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

An Improved Finite Element Method with Unconditional Positivity for a Reaction-diffusion HIV Infection Model with Spatial Heterogeneity

Hefan YİN, Zhanwen Yang, Jianfang Gao
International Journal of Biomathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

An Improved Finite Element Method with Unconditional Positivity for a Reaction-diffusion HIV Infection Model with Spatial Heterogeneity

Hefan YİN, Zhanwen Yang, Jianfang Gao
article en

Abstract

This paper develops an improved finite element method for the reaction-diffusion HIV infection model with spatial heterogeneity. By introducing the h-inner product, the positivity of numerical solutions is unconditionally guaranteed without mesh constraints, overcoming a key limitation of classical methods. The boundedness, convergence, and global stability threshold of the disease-free equilibrium are established. The linearly implicit Euler method is adopted to avoid step-size restrictions of explicit schemes while reducing computational cost of implicit ones. The full-discrete scheme achieves first-order convergence in space and time, preserves positivity and boundedness, and shares the same stability threshold as the semi-discrete system. This work provides reliable theoretical foundations for the efficient and structure-preserving simulation of spatially heterogeneous epidemic models.

International Journal of Biomathematics
Good health and well-being
Openalex Percentile: Top 8%
Mathematical and Theoretical Epidemiology and Ecology Models
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