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An improved finite element method with unconditional positivity for a reaction–diffusion HIV infection model with spatial heterogeneity

  • Hefan Yin
  • , Jianfang Gao*
  • , Zhanwen Yang
  • *Corresponding author for this work
  • Harbin Normal University
  • School of Mathematics, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Article number2650077
JournalInternational Journal of Biomathematics
DOIs
StateAccepted/In press - 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    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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