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

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.

Publication Details

Journal
edoc Publication server (Humboldt University of Berlin)
Published
2025-01-09
DOI
https://doi.org/10.18452/32721
Primary Topic
Stability and Controllability of Differential Equations
Type
article
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article

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

edoc Publication server (Humboldt University of Berlin)
Stability and Controllability of Differential Equations
article

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

article en

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.

edoc Publication server (Humboldt University of Berlin)
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Stability and Controllability of Differential Equations
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