Splitting Techniques for DAEs with port-Hamiltonian Applications

Fuente: arXiv
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Hauptverfasser: Bartel, Andreas, Diab, Malak, Frommer, Andreas, Günther, Michael, Marheineke, Nicole
Format: Preprint
Veröffentlicht: 2024
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author Bartel, Andreas
Diab, Malak
Frommer, Andreas
Günther, Michael
Marheineke, Nicole
author_facet Bartel, Andreas
Diab, Malak
Frommer, Andreas
Günther, Michael
Marheineke, Nicole
contents In the simulation of differential-algebraic equations (DAEs), it is essential to employ numerical schemes that take into account the inherent structure and maintain explicit or hidden algebraic constraints without altering them. This paper focuses on operator-splitting techniques for coupled systems and aims at preserving the structure in the port-Hamiltonian framework. The study explores two decomposition strategies: one considering the underlying coupled subsystem structure and the other addressing energy-associated properties such as conservation and dissipation. We show that for coupled index-$1$ DAEs with and without private index-2 variables, the splitting schemes on top of a dimension-reducing decomposition achieve the same convergence rate as in the case of ordinary differential equations. Additionally, we discuss an energy-associated decomposition for index-1 pH-DAEs and introduce generalized Cayley transforms to uphold energy conservation. The effectiveness of both strategies is evaluated using port-Hamiltonian benchmark examples from electric circuits.
format Preprint
id arxiv_https___arxiv_org_abs_2404_13531
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Splitting Techniques for DAEs with port-Hamiltonian Applications
Bartel, Andreas
Diab, Malak
Frommer, Andreas
Günther, Michael
Marheineke, Nicole
Numerical Analysis
65L05, 65L20, 65L80, 97N40
In the simulation of differential-algebraic equations (DAEs), it is essential to employ numerical schemes that take into account the inherent structure and maintain explicit or hidden algebraic constraints without altering them. This paper focuses on operator-splitting techniques for coupled systems and aims at preserving the structure in the port-Hamiltonian framework. The study explores two decomposition strategies: one considering the underlying coupled subsystem structure and the other addressing energy-associated properties such as conservation and dissipation. We show that for coupled index-$1$ DAEs with and without private index-2 variables, the splitting schemes on top of a dimension-reducing decomposition achieve the same convergence rate as in the case of ordinary differential equations. Additionally, we discuss an energy-associated decomposition for index-1 pH-DAEs and introduce generalized Cayley transforms to uphold energy conservation. The effectiveness of both strategies is evaluated using port-Hamiltonian benchmark examples from electric circuits.
title Splitting Techniques for DAEs with port-Hamiltonian Applications
topic Numerical Analysis
65L05, 65L20, 65L80, 97N40
url https://arxiv.org/abs/2404.13531