New Preprint ‘A Positivity-Preserving Relaxation Algorithm’ on arXiv

Thomas Izgin, Chi-Wang Shu, and I have published our new preprint A Positivity-Preserving Relaxation Algorithm on arXiv.

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.

The reproducibility repository is available on GitHub and Zenodo.