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Positivity preserving and mass conservative projection method for the Poisson-Nernst-Planck equation

Fenghua Tong, Yongyong Cai

TL;DR

The paper addresses numerically solving the Poisson-Nernst-Planck equations with positivity preservation and mass conservation at the discrete level. It introduces a two-step scheme consisting of standard time stepping followed by a projection to enforce the physical constraints, using an $L^2$ projection to obtain a Crank-Nicolson-type finite difference discretization that is linear (aside from the projection) and positivity-preserving and mass-conserving. Rigorous $L^2$-norm error estimates establish second-order accuracy in both space and time, and an $H^1$ projection alternative is discussed. Numerical experiments corroborate the theory and illustrate the method's efficiency.

Abstract

We propose and analyze a novel approach to construct structure preserving approximations for the Poisson-Nernst-Planck equations, focusing on the positivity preserving and mass conservation properties. The strategy consists of a standard time marching step with a projection (or correction) step to satisfy the desired physical constraints (positivity and mass conservation). Based on the $L^2$ projection, we construct a second order Crank-Nicolson type finite difference scheme, which is linear (exclude the very efficient $L^2$ projection part), positivity preserving and mass conserving. Rigorous error estimates in $L^2$ norm are established, which are both second order accurate in space and time. The other choice of projection, e.g. $H^1$ projection, is discussed. Numerical examples are presented to verify the theoretical results and demonstrate the efficiency of the proposed method.

Positivity preserving and mass conservative projection method for the Poisson-Nernst-Planck equation

TL;DR

The paper addresses numerically solving the Poisson-Nernst-Planck equations with positivity preservation and mass conservation at the discrete level. It introduces a two-step scheme consisting of standard time stepping followed by a projection to enforce the physical constraints, using an projection to obtain a Crank-Nicolson-type finite difference discretization that is linear (aside from the projection) and positivity-preserving and mass-conserving. Rigorous -norm error estimates establish second-order accuracy in both space and time, and an projection alternative is discussed. Numerical experiments corroborate the theory and illustrate the method's efficiency.

Abstract

We propose and analyze a novel approach to construct structure preserving approximations for the Poisson-Nernst-Planck equations, focusing on the positivity preserving and mass conservation properties. The strategy consists of a standard time marching step with a projection (or correction) step to satisfy the desired physical constraints (positivity and mass conservation). Based on the projection, we construct a second order Crank-Nicolson type finite difference scheme, which is linear (exclude the very efficient projection part), positivity preserving and mass conserving. Rigorous error estimates in norm are established, which are both second order accurate in space and time. The other choice of projection, e.g. projection, is discussed. Numerical examples are presented to verify the theoretical results and demonstrate the efficiency of the proposed method.
Paper Structure (3 sections, 2 theorems, 1 equation, 1 table)

This paper contains 3 sections, 2 theorems, 1 equation, 1 table.

Key Result

Theorem 1.1

An example theorem.

Theorems & Definitions (2)

  • Theorem 1.1
  • Lemma 1.2