Mathematical physics sits at the fascinating intersection where abstract equations meet the fundamental laws of our universe. This field uses rigorous mathematical tools to model everything from the behavior of subatomic particles to the curvature of spacetime, turning complex theories into testable predictions. It is the language through which physicists describe reality, bridging the gap between pure mathematics and physical observation.

On Gist.Science, we process every new preprint published in this category on arXiv to make these dense studies accessible to everyone. Whether you are a specialist or a curious reader, you will find both plain-language overviews and detailed technical summaries for each paper. Below are the latest mathematical physics papers from arXiv, curated to help you explore the cutting edge of theoretical science.

🔢 mathematics

Structure preservation using discrete gradients in the Vlasov-Poisson-Landau system

This paper presents a novel structure-preserving framework for the Vlasov-Poisson-Landau system that combines particle-in-cell discretization with discrete gradient time integrators to guarantee the conservation of mass, momentum, and energy while preserving entropy production monotonicity in both continuous and discrete settings.

Daniel S. Finn, Joseph V. Pusztay, Matthew G. Knepley, Mark F. Adams2026-02-16
🔢 mathematics

Two-point functions in boundary loop models

This paper employs conformal bootstrap techniques to derive analytical expressions for two-point functions of bulk fields in critical loop models on the upper-half plane, specifically determining two-point connectivities for the Fortuin-Kasteleyn random cluster model under free and wired boundary conditions and validating these continuum predictions against lattice numerics through universal amplitude ratios.

Max Downing, Jesper Lykke Jacobsen, Rongvoram Nivesvivat, Hubert Saleur2026-02-13
🔢 mathematics

Efficient parallel finite-element methods for planetary gravitation: DtN and multipole expansions

This paper evaluates and implements three strategies—naive domain truncation, Dirichlet-to-Neumann (DtN) maps, and multipole expansions—for handling unbounded domains in parallel finite-element simulations of planetary gravitation using the MFEM package, demonstrating that while truncated meshes with coarsening are viable, DtN and multipole methods offer superior accuracy and cost-efficiency for large-scale geophysical modeling.

Ziheng Yu, Alex D. C. Myhill, David Al-Attar2026-02-13