On time-splitting methods for gradient flows with two dissipation mechanisms

Abstract We consider generalized gradient systems in Banach spaces whose evolutions are generated by the interplay between an energy functional and a dissipation potential. We focus on the case in which the dual dissipation potential is given by a sum of two functionals and show that solutions of the associated gradient-flow evolution equation with combined dissipation can be constructed by a split-step method, i.e. by solving alternately the gradient systems featuring only one of the dissipation potentials and concatenating the corresponding trajectories. Thereby the construction of solutions is provided either by semiflows, on the time-continuous level, or by using Alternating Minimizing Movements in the time-discrete setting. In both cases the convergence analysis relies on the energy-dissipation principle for gradient systems.

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Publication Details

Journal
Calculus of Variations and Partial Differential Equations
Published
2025-01-09
DOI
https://doi.org/10.1007/s00526-024-02849-8
Citations
1
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
1.50

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article

On time-splitting methods for gradient flows with two dissipation mechanisms

Riccarda Rossi, Alexander Mielke, Artur Stephan
1 citations
Calculus of Variations and Partial Differential Equations
Advanced Mathematical Modeling in Engineering
1.50
article

On time-splitting methods for gradient flows with two dissipation mechanisms

Riccarda Rossi, Alexander Mielke, Artur Stephan
article en
1 citations

Abstract

Abstract We consider generalized gradient systems in Banach spaces whose evolutions are generated by the interplay between an energy functional and a dissipation potential. We focus on the case in which the dual dissipation potential is given by a sum of two functionals and show that solutions of the associated gradient-flow evolution equation with combined dissipation can be constructed by a split-step method, i.e. by solving alternately the gradient systems featuring only one of the dissipation potentials and concatenating the corresponding trajectories. Thereby the construction of solutions is provided either by semiflows, on the time-continuous level, or by using Alternating Minimizing Movements in the time-discrete setting. In both cases the convergence analysis relies on the energy-dissipation principle for gradient systems.

Calculus of Variations and Partial Differential EquationsVol. 64(2)
TU Wien (AT), Humboldt-Universität zu Berlin (DE), Weierstrass Institute for Applied Analysis and Stochastics (DE), University of Brescia (IT)
Deutsche Forschungsgemeinschaft, Ministero dell’Istruzione, dell’Università e della Ricerca, Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Mathematical Modeling in Engineering
1.50
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On time-splitting methods for gradient flows with two dissipation mechanisms — Riccarda Rossi, Alexander Mielke, et al. · Calculus of Variations and Partial Differential Equations (2025) | TGRS Research Map | TGRS