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arXiv · 2606.14430

Measuring qualitative change: A variational score for tracking dynamical shifts in partial differential equations

Joseph J. Pollacco·Jonathan Wong·Navonil Neogi·Callum Simpson·Eloisa Bentivegna
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Abstract

Partial differential equations (PDEs) regulate the behaviour of countless spatiotemporal systems in the physical and life sciences. In many cases, they encode the coupling between the system's degrees of freedom, leading to nonlinear equations whose solution space is challenging to explore exhaustively. Systematic approaches to PDE model exploration are a holy grail of computational science. In this article, we formulate a criterion for increasing the diversity of a search campaign, based on the PDE residual behaviour under solution deformation. We develop a practical formalism to compute this property and illustrate its role in a few cases of interest.

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Joseph J. Pollacco, Jonathan Wong, Navonil Neogi, Callum Simpson, Eloisa Bentivegna. 2026-06-12. Measuring qualitative change: A variational score for tracking dynamical shifts in partial differential equations. https://arxiv.org/abs/2606.14430

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