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.
| Original language | English |
|---|---|
| Article number | 2650077 |
| Journal | International Journal of Biomathematics |
| DOIs | |
| State | Accepted/In press - 2026 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- HIV models
- numerical basic reproduction number
- positivity-preserving finite element method
- spatial heterogeneity
- stability
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