A Positivity-Preserving Relaxation Algorithm
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866911563727765504 |
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| author | Izgin, Thomas Ranocha, Hendrik Shu, Chi-Wang |
| author_facet | Izgin, Thomas Ranocha, Hendrik Shu, Chi-Wang |
| contents | We combine Patankar-type methods with suitable relaxation procedures that are capable of ensuring correct dissipation or conservation of functionals such as entropy or energy while producing unconditionally positive and conservative approximations. To that end, we adapt the relaxation algorithm to enforce positivity by using either ideas from the dense output framework when a linear invariant must be preserved, or simply a geometric mean if the only constraint is positivity preservation. The latter merely requires the solution of a scalar nonlinear equation while former results in a coupled linear-nonlinear system of equations. We present sufficient conditions for the solvability of the respective equations. Several applications in the context of ordinary and partial differential equations are presented, and the theoretical findings are validated numerically. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_02308 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Positivity-Preserving Relaxation Algorithm Izgin, Thomas Ranocha, Hendrik Shu, Chi-Wang Numerical Analysis 65M06, 65M08, 65M20, 65M22 We combine Patankar-type methods with suitable relaxation procedures that are capable of ensuring correct dissipation or conservation of functionals such as entropy or energy while producing unconditionally positive and conservative approximations. To that end, we adapt the relaxation algorithm to enforce positivity by using either ideas from the dense output framework when a linear invariant must be preserved, or simply a geometric mean if the only constraint is positivity preservation. The latter merely requires the solution of a scalar nonlinear equation while former results in a coupled linear-nonlinear system of equations. We present sufficient conditions for the solvability of the respective equations. Several applications in the context of ordinary and partial differential equations are presented, and the theoretical findings are validated numerically. |
| title | A Positivity-Preserving Relaxation Algorithm |
| topic | Numerical Analysis 65M06, 65M08, 65M20, 65M22 |
| url | https://arxiv.org/abs/2604.02308 |