arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1601.02547math.NAcs.NA
收藏

一种满足熵的不连续伽辽金方法用于非线性福克-普朗克方程

An entropy satisfying discontinuous Galerkin method for nonlinear Fokker-Planck equations

Iowa State University(爱荷华州立大学);Florida International University(佛罗里达国际大学)

Hailiang Liu, Zhongming Wang

AI总结:

本文提出一种高阶不连续伽辽金方法,用于求解具有梯度流结构的非线性福克-普朗克方程,通过离散熵耗散律保持稳态解,并验证了数值解的长时间行为。

摘要:

我们提出了一种高阶不连续伽辽金(DG)方法,用于求解具有梯度流结构的非线性福克-普朗克方程。对于某些模型,已知瞬态解在时间趋于无穷时收敛到稳态。该方案被证明满足离散熵耗散定律并保持稳态,从而提供具有满意长时间行为的数值解。通过正则化算法强制数值解的正性,基于正的单元平均值。对于具有平凡势能的模型,严格建立了保证正性的参数范围。对于其他情况,通过调整数值通量参数可以在每个时间步使单元平均值保持正性。所选一组数值示例用于验证高阶精度和捕捉大时间渐近行为的效率。

英文摘要:

We propose a high order discontinuous Galerkin (DG) method for solving nonlinear Fokker-Planck equations with a gradient flow structure. For some of these models it is known that the transient solutions converge to steady-states when time tends to infinity. The scheme is shown to satisfy a discrete version of the entropy dissipation law and preserve steady-states, therefore providing numerical solutions with satisfying long-time behavior. The positivity of numerical solutions is enforced through a reconstruction algorithm, based on positive cell averages. For the model with trivial potential, a parameter range sufficient for positivity preservation is rigorously established. For other cases, cell averages can be made positive at each time step by tuning the numerical flux parameters. A selected set of numerical examples is presented to confirm both the high-order accuracy and the efficiency to capture the large-time asymptotic.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑