The common ground of DAE approaches. An overview of diverse DAE frameworks emphasizing their commonalities
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913621458550784 |
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| author | Schwarz, Diana Estévez Lamour, René März, Roswitha |
| author_facet | Schwarz, Diana Estévez Lamour, René März, Roswitha |
| contents | We analyze different approaches to differential-algebraic equations with attention to the implemented rank conditions of various matrix functions. These conditions are apparently very different and certain rank drops in some matrix functions actually indicate a critical solution behavior. We look for common ground by considering various index and regularity notions from literature generalizing the Kronecker index of regular matrix pencils. In detail, starting from the most transparent reduction framework, we work out a comprehensive regularity concept with canonical characteristic values applicable across all frameworks and prove the equivalence of thirteen distinct definitions of regularity. This makes it possible to use the findings of all these concepts together. Additionally, we show why not only the index but also these canonical characteristic values are crucial to describe the properties of the DAE. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_15866 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The common ground of DAE approaches. An overview of diverse DAE frameworks emphasizing their commonalities Schwarz, Diana Estévez Lamour, René März, Roswitha Classical Analysis and ODEs Machine Learning 34A09, 34A12, 34A30, 34A34, 34-02 We analyze different approaches to differential-algebraic equations with attention to the implemented rank conditions of various matrix functions. These conditions are apparently very different and certain rank drops in some matrix functions actually indicate a critical solution behavior. We look for common ground by considering various index and regularity notions from literature generalizing the Kronecker index of regular matrix pencils. In detail, starting from the most transparent reduction framework, we work out a comprehensive regularity concept with canonical characteristic values applicable across all frameworks and prove the equivalence of thirteen distinct definitions of regularity. This makes it possible to use the findings of all these concepts together. Additionally, we show why not only the index but also these canonical characteristic values are crucial to describe the properties of the DAE. |
| title | The common ground of DAE approaches. An overview of diverse DAE frameworks emphasizing their commonalities |
| topic | Classical Analysis and ODEs Machine Learning 34A09, 34A12, 34A30, 34A34, 34-02 |
| url | https://arxiv.org/abs/2412.15866 |