Convergence Analysis of a Numerical Scheme for the Porous Medium Equation by an Energetic Variational Approach

Convergence Analysis of a Numerical Scheme for the Porous Medium Equation by an Energetic Variational Approach

Year:    2020

Author:    Chun Liu, Cheng Wang, Chenghua Duan, Xingye Yue, Chun Liu, Cheng Wang, Xingye Yue

Numerical Mathematics: Theory, Methods and Applications, Vol. 13 (2020), Iss. 1 : pp. 63–80

Abstract

The porous medium equation (PME) is a typical nonlinear degenerate parabolic equation. We have studied numerical methods for PME by an energetic variational approach in [C. Duan et al., J. Comput. Phys., 385 (2019), pp. 13–32], where the trajectory equation can be obtained and two numerical schemes have been developed based on different dissipative energy laws. It is also proved that the nonlinear scheme, based on $f$ log $f$ as the total energy form of the dissipative law, is uniquely solvable on an admissible convex set and preserves the corresponding discrete dissipation law. Moreover, under certain smoothness assumption, we have also obtained the second order convergence in space and the first order convergence in time for the scheme. In this paper, we provide a rigorous proof of the error estimate by a careful higher order asymptotic expansion and two step error estimates. The latter technique contains a rough estimate to control the highly nonlinear term in a discrete $W$1,∞ norm and a refined estimate is applied to derive the optimal error order.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/nmtma.OA-2019-0073

Numerical Mathematics: Theory, Methods and Applications, Vol. 13 (2020), Iss. 1 : pp. 63–80

Published online:    2020-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    18

Keywords:    Energetic variational approach porous medium equation trajectory equation optimal rate convergence analysis.

Author Details

Chun Liu

Cheng Wang

Chenghua Duan

Xingye Yue

Chun Liu

Cheng Wang

Xingye Yue

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