准线性对流扩散方程的单调数值通量

IF 2.2 2区 数学 Q1 MATHEMATICS, APPLIED Mathematics of Computation Pub Date : 2023-06-30 DOI:10.1090/mcom/3870
Claire Chainais-Hillairet, Robert Eymard, Jürgen Fuhrmann
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引用次数: 2

摘要

本文提出了拟线性对流扩散方程的一种新的数值2点通量。该数值通量被证明是由两点Dirichlet边值问题的解导出的数值通量的近似,该数值通量是连续通量在连接相邻并置点的直线上的投影。后一种方法推广了最初由Scharfetter和Gummel [IEEE Trans]提出的想法。电子器件16 (1969),pp. 64-77]线性漂移-扩散方程。我们首先证明了新通量满足足够的性质,保证了相关有限体积格式的收敛性,同时又尊重极大值原则。然后,我们关注该格式的长时间行为:我们展示了新的数值通量和广义Scharfetter-Gummel通量所满足的相对熵衰减性质。这些性质的证明使用了一些离散的(和连续的)log-Sobolev不等式的推广。在附录中证明了连续解的相对熵的相应衰减。一些一维数值实验证实了理论结果。
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A monotone numerical flux for quasilinear convection diffusion equation
We propose a new numerical 2-point flux for a quasilinear convection–diffusion equation. This numerical flux is shown to be an approximation of the numerical flux derived from the solution of a two-point Dirichlet boundary value problem for the projection of the continuous flux onto the line connecting neighboring collocation points. The later approach generalizes an idea first proposed by Scharfetter and Gummel [IEEE Trans. Electron Devices 16 (1969), pp. 64–77] for linear drift-diffusion equations. We establish first that the new flux satisfies sufficient properties ensuring the convergence of the associate finite volume scheme, while respecting the maximum principle. Then, we pay attention to the long time behavior of the scheme: we show relative entropy decay properties satisfied by the new numerical flux as well as by the generalized Scharfetter-Gummel flux. The proof of these properties uses a generalization of some discrete (and continuous) log-Sobolev inequalities. The corresponding decay of the relative entropy of the continuous solution is proved in the appendix. Some 1D numerical experiments confirm the theoretical results.
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来源期刊
Mathematics of Computation
Mathematics of Computation 数学-应用数学
CiteScore
3.90
自引率
5.00%
发文量
55
审稿时长
7.0 months
期刊介绍: All articles submitted to this journal are peer-reviewed. The AMS has a single blind peer-review process in which the reviewers know who the authors of the manuscript are, but the authors do not have access to the information on who the peer reviewers are. This journal is devoted to research articles of the highest quality in computational mathematics. Areas covered include numerical analysis, computational discrete mathematics, including number theory, algebra and combinatorics, and related fields such as stochastic numerical methods. Articles must be of significant computational interest and contain original and substantial mathematical analysis or development of computational methodology.
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