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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2408.16105 |
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| _version_ | 1866917763322216448 |
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| author | Zhang, Shiheng Shen, Jie Hu, Jingwei |
| author_facet | Zhang, Shiheng Shen, Jie Hu, Jingwei |
| contents | We introduce novel entropy-dissipative numerical schemes for a class of kinetic equations, leveraging the recently introduced scalar auxiliary variable (SAV) approach. Both first and second order schemes are constructed. Since the positivity of the solution is closely related to entropy, we also propose positivity-preserving versions of these schemes to ensure robustness, which include a scheme specially designed for the Boltzmann equation and a more general scheme using Lagrange multipliers. The accuracy and provable entropy-dissipation properties of the proposed schemes are validated for both the Boltzmann equation and the Landau equation through extensive numerical examples. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_16105 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SAV-based entropy-dissipative schemes for a class of kinetic equations Zhang, Shiheng Shen, Jie Hu, Jingwei Numerical Analysis We introduce novel entropy-dissipative numerical schemes for a class of kinetic equations, leveraging the recently introduced scalar auxiliary variable (SAV) approach. Both first and second order schemes are constructed. Since the positivity of the solution is closely related to entropy, we also propose positivity-preserving versions of these schemes to ensure robustness, which include a scheme specially designed for the Boltzmann equation and a more general scheme using Lagrange multipliers. The accuracy and provable entropy-dissipation properties of the proposed schemes are validated for both the Boltzmann equation and the Landau equation through extensive numerical examples. |
| title | SAV-based entropy-dissipative schemes for a class of kinetic equations |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2408.16105 |