Condition number for finite element discretisation of nonlocal PDE systems with applications to biology

In this work, we investigate the condition number for a system of coupled non-local reaction-diffusion-advection equations developed in the context of modelling normal and abnormal wound healing. Following a finite element discretisation of the coupled non-local system, we establish bounds for this condition number. We further discuss how model parameter choices affect the conditioning of the system. Finally, we discuss how the step size of the chosen time-stepping scheme and the spatial grid size of the finite element methods affect the bound for the condition number, while also suggesting possible parameter ranges that could keep the model well conditioned.

Publication Details

Journal
ArXiv.org
Published
2025-08-13
Primary Topic
Electromagnetic Simulation and Numerical Methods
Type
article
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article

Condition number for finite element discretisation of nonlocal PDE systems with applications to biology

ArXiv.org
Electromagnetic Simulation and Numerical Methods
article

Condition number for finite element discretisation of nonlocal PDE systems with applications to biology

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Abstract

In this work, we investigate the condition number for a system of coupled non-local reaction-diffusion-advection equations developed in the context of modelling normal and abnormal wound healing. Following a finite element discretisation of the coupled non-local system, we establish bounds for this condition number. We further discuss how model parameter choices affect the conditioning of the system. Finally, we discuss how the step size of the chosen time-stepping scheme and the spatial grid size of the finite element methods affect the bound for the condition number, while also suggesting possible parameter ranges that could keep the model well conditioned.

ArXiv.org
Openalex Percentile: Top 53%
Electromagnetic Simulation and Numerical Methods
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Condition number for finite element discretisation of nonlocal PDE systems with applications to biology · ArXiv.org (2025) | TGRS Research Map | TGRS