<div class="csl-bib-body">
<div class="csl-entry">Achleitner, F., Arnold, A., & Jüngel, A. (2025). Hypocoercivity for linear ODEs and strong stability for Runge–Kutta methods. In <i>Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2023 (ICNAAM-2023)</i> (pp. 090001-1-090001–090004). https://doi.org/10.1063/5.0286061</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/222666
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dc.description.abstract
In this note, we connect two different topics from linear algebra and numerical analysis: hypocoercivity of semi-dissipative matrices and strong stability for explicit Runge-Kutta schemes. Linear autonomous ODE systems with a non-coercive matrix are called hypocoercive if they still exhibit uniform exponential decay towards the steady state. Strong stability is a property of time-integration schemes for ODEs that preserve the temporal monotonicity of the discrete solutions. It is proved that explicit Runge-Kutta schemes are strongly stable with respect to semi-dissipative, asymptotically stable matrices if the hypocoercivity index is sufficiently small compared to the order of the scheme. Otherwise, the Runge-Kutta schemes are in general not strongly stable. As a corollary, explicit Runge-Kutta schemes of order p∈4ℕ with s = p stages turn out to be not strongly stable. This result was proved in [4], filling a gap left open in [8]. Here, we present an alternative, direct proof.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.relation.ispartofseries
International Scientific and Practical Symposium "Materials Science and Technology": MST-IV-2024
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dc.subject
linear ODE
en
dc.subject
Runga-Katta methods
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dc.title
Hypocoercivity for linear ODEs and strong stability for Runge–Kutta methods
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
9780735452459
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dc.description.startpage
090001-1
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dc.description.endpage
090001-4
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dc.relation.grantno
P 33010-N
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dc.type.category
Abstract Book Contribution
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tuw.booktitle
Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2023 (ICNAAM-2023)
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tuw.container.volume
3347
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tuw.peerreviewed
true
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tuw.project.title
Multikomponentensysteme mit unvollständiger Diffusion