STRUCTURE PRESERVING PRIMAL DUAL METHODS FOR GRADIENT FLOWS WITH NONLINEAR MOBILITY TRANSPORT DISTANCES

Jose A. Carrillo, Li Wang, Chaozhen Wei

Research output: Contribution to journalArticlepeer-review

Abstract

We develop structure preserving schemes for a class of nonlinear mobility continuity equation. When the mobility is a concave function, this equation admits a form of gradient flow with respect to a Wasserstein-like transport metric. Our numerical schemes build upon such formulation and utilize modern large-scale optimization algorithms. There are two distinctive features of our approach compared to previous ones. On the one hand, the essential properties of the solution, including positivity, global bounds, mass conservation, and energy dissipation, are all guaranteed by construction. On the other hand, our approach enjoys sufficient flexibility when applied to a large variety of problems including different free energy functionals, general wetting boundary conditions, and degenerate mobilities. The performance of our methods is demonstrated through a suite of examples.

Original languageEnglish (US)
Pages (from-to)376-399
Number of pages24
JournalSIAM Journal on Numerical Analysis
Volume62
Issue number1
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
© 2024 Society for Industrial and Applied Mathematics Publications. All rights reserved.

Keywords

  • minimizing movements
  • optimal transport distances
  • primal dual methods,Wasserstein-like gradient flows
  • structure preserving methods

Fingerprint

Dive into the research topics of 'STRUCTURE PRESERVING PRIMAL DUAL METHODS FOR GRADIENT FLOWS WITH NONLINEAR MOBILITY TRANSPORT DISTANCES'. Together they form a unique fingerprint.

Cite this