A Lagrangian scheme for the solution of nonlinear diffusion equations using moving simplex meshes
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Author(s)
Carrillo de la Plata, J
Düring, B
Matthes, D
McCormick, DS
Type
Journal Article
Abstract
A Lagrangian numerical scheme for solving nonlinear degenerate Fokker–Planck
equations in space dimensions d ≥ 2 is presented. It applies to a large class of nonlinear diffusion
equations, whose dynamics are driven by internal energies and given external potentials,
e.g. the porous medium equation and the fast diffusion equation. The key ingredient in our
approach is the gradient flow structure of the dynamics. For discretization of the Lagrangian
map, we use a finite subspace of linear maps in space and a variational form of the implicit
Euler method in time. Thanks to that time discretisation, the fully discrete solution inherits
energy estimates from the original gradient flow, and these lead to weak compactness of the
trajectories in the continuous limit. Consistency is analyzed in the planar situation, d = 2. A
variety of numerical experiments for the porous medium equation indicates that the scheme
is well-adapted to track the growth of the solution’s support.
equations in space dimensions d ≥ 2 is presented. It applies to a large class of nonlinear diffusion
equations, whose dynamics are driven by internal energies and given external potentials,
e.g. the porous medium equation and the fast diffusion equation. The key ingredient in our
approach is the gradient flow structure of the dynamics. For discretization of the Lagrangian
map, we use a finite subspace of linear maps in space and a variational form of the implicit
Euler method in time. Thanks to that time discretisation, the fully discrete solution inherits
energy estimates from the original gradient flow, and these lead to weak compactness of the
trajectories in the continuous limit. Consistency is analyzed in the planar situation, d = 2. A
variety of numerical experiments for the porous medium equation indicates that the scheme
is well-adapted to track the growth of the solution’s support.
Date Issued
2018-06-01
Date Acceptance
2017-10-25
Citation
Journal of Scientific Computing, 2018, 75 (3), pp.1463-1499
ISSN
0885-7474
Publisher
Springer Verlag
Start Page
1463
End Page
1499
Journal / Book Title
Journal of Scientific Computing
Volume
75
Issue
3
Copyright Statement
© The Author(s) 2017.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
License URL
Sponsor
The Royal Society
Engineering & Physical Science Research Council (EPSRC)
Grant Number
WM120001
EP/P031587/1
Subjects
0102 Applied Mathematics
0103 Numerical And Computational Mathematics
0802 Computation Theory And Mathematics
Applied Mathematics
Publication Status
Published
Date Publish Online
2017-11-07