Volume 16, Issue 2
An Iterative Discontinuous Galerkin Method for Solving the Nonlinear Poisson Boltzmann Equation

Peimeng Yin, Yunqing Huang & Hailiang Liu

Commun. Comput. Phys., 16 (2014), pp. 491-515.

Published online: 2014-08

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  • Abstract

An iterative discontinuous Galerkin (DG) method is proposed to solve the nonlinear Poisson Boltzmann (PB) equation. We first identify a function space in which the solution of the nonlinear PB equation is iteratively approximated through a series of linear PB equations, while an appropriate initial guess and a suitable iterative parameter are selected so that the solutions of linear PB equations are monotone within the identified solution space. For the spatial discretization we apply the direct discontinuous Galerkin method to those linear PB equations. More precisely, we use one initial guess when the Debye parameter λ=O(1), and a special initial guess for λ≪1 to ensure convergence. The iterative parameter is carefully chosen to guarantee the existence, uniqueness, and convergence of the iteration. In particular, iteration steps can be reduced for a variable iterative parameter. Both one and two-dimensional numerical results are carried out to demonstrate both accuracy and capacity of the iterative DG method for both cases of λ=O(1) and λ≪1. The (m+1)th order of accuracy for L2 and mth order of accuracy for Hfor Pm elements are numerically obtained.

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@Article{CiCP-16-491, author = {}, title = {An Iterative Discontinuous Galerkin Method for Solving the Nonlinear Poisson Boltzmann Equation}, journal = {Communications in Computational Physics}, year = {2014}, volume = {16}, number = {2}, pages = {491--515}, abstract = {

An iterative discontinuous Galerkin (DG) method is proposed to solve the nonlinear Poisson Boltzmann (PB) equation. We first identify a function space in which the solution of the nonlinear PB equation is iteratively approximated through a series of linear PB equations, while an appropriate initial guess and a suitable iterative parameter are selected so that the solutions of linear PB equations are monotone within the identified solution space. For the spatial discretization we apply the direct discontinuous Galerkin method to those linear PB equations. More precisely, we use one initial guess when the Debye parameter λ=O(1), and a special initial guess for λ≪1 to ensure convergence. The iterative parameter is carefully chosen to guarantee the existence, uniqueness, and convergence of the iteration. In particular, iteration steps can be reduced for a variable iterative parameter. Both one and two-dimensional numerical results are carried out to demonstrate both accuracy and capacity of the iterative DG method for both cases of λ=O(1) and λ≪1. The (m+1)th order of accuracy for L2 and mth order of accuracy for Hfor Pm elements are numerically obtained.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.270713.280214a}, url = {http://global-sci.org/intro/article_detail/cicp/7051.html} }
TY - JOUR T1 - An Iterative Discontinuous Galerkin Method for Solving the Nonlinear Poisson Boltzmann Equation JO - Communications in Computational Physics VL - 2 SP - 491 EP - 515 PY - 2014 DA - 2014/08 SN - 16 DO - http://doi.org/10.4208/cicp.270713.280214a UR - https://global-sci.org/intro/article_detail/cicp/7051.html KW - AB -

An iterative discontinuous Galerkin (DG) method is proposed to solve the nonlinear Poisson Boltzmann (PB) equation. We first identify a function space in which the solution of the nonlinear PB equation is iteratively approximated through a series of linear PB equations, while an appropriate initial guess and a suitable iterative parameter are selected so that the solutions of linear PB equations are monotone within the identified solution space. For the spatial discretization we apply the direct discontinuous Galerkin method to those linear PB equations. More precisely, we use one initial guess when the Debye parameter λ=O(1), and a special initial guess for λ≪1 to ensure convergence. The iterative parameter is carefully chosen to guarantee the existence, uniqueness, and convergence of the iteration. In particular, iteration steps can be reduced for a variable iterative parameter. Both one and two-dimensional numerical results are carried out to demonstrate both accuracy and capacity of the iterative DG method for both cases of λ=O(1) and λ≪1. The (m+1)th order of accuracy for L2 and mth order of accuracy for Hfor Pm elements are numerically obtained.

Peimeng Yin, Yunqing Huang & Hailiang Liu. (2020). An Iterative Discontinuous Galerkin Method for Solving the Nonlinear Poisson Boltzmann Equation. Communications in Computational Physics. 16 (2). 491-515. doi:10.4208/cicp.270713.280214a
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