Convergence Analysis of Structure-Preserving Numerical Methods Based on Slotboom Transformation for the Poisson--Nernst--Planck Equations
Jie Ding, Cheng Wang, Shenggao Zhou

TL;DR
This paper provides the first optimal convergence analysis for structure-preserving finite difference schemes based on the Slotboom reformulation for the Poisson--Nernst--Planck equations, including error estimates for concentrations, electric potential, and ionic fluxes.
Contribution
It offers the first rigorous convergence analysis of structure-preserving schemes based on Slotboom reformulation for PNP equations, considering various mobility averages and higher order consistency.
Findings
Optimal convergence rates for concentrations, potential, and fluxes are established.
Harmonic mean mobility averaging simplifies analysis while maintaining accuracy.
Numerical results confirm the schemes' accuracy and structure-preserving properties.
Abstract
The analysis of structure-preserving numerical methods for the Poisson--Nernst--Planck (PNP) system has attracted growing interests in recent years. In this work, we provide an optimal rate convergence analysis and error estimate for finite difference schemes based on the Slotboom reformulation. Different options of mobility average at the staggered mesh points are considered in the finite-difference spatial discretization, such as the harmonic mean, geometric mean, arithmetic mean, and entropic mean. A semi-implicit temporal discretization is applied, which in turn results in a non-constant coefficient, positive-definite linear system at each time step. A higher order asymptotic expansion is applied in the consistency analysis, and such a higher order consistency estimate is necessary to control the discrete maximum norm of the concentration variables. In convergence estimate, the…
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Taxonomy
TopicsMeteorological Phenomena and Simulations · Mathematical Biology Tumor Growth · Stochastic processes and financial applications
