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

The geometry of absolute separability and other convex matrix properties from spectrum

This paper investigates the geometric structure of spectra for absolute separable and absolute PPT quantum states, establishing that while the latter forms a spectrahedron with fully characterized faces, the former is generally a semialgebraic set, and providing rigorous bounds on their purity, entropy, and relative spectral volume.

Jennifer Ahiable, Naga Bhavya Teja Kothakonda, Andreas Winter2026-08-05
🔢 mathematics

Dynamical Spreading and Memory Retention Under Power Law Potential

This paper combines theoretical predictions, experimental validation using magnetized colloids, and numerical simulations to demonstrate that overdamped particle suspensions under repulsive power-law potentials exhibit self-similar spreading, while below a critical power threshold, particles accumulate at the perimeter to retain a long-lived memory of their initial distribution.

Ido Fanto, Yuval Rosenblum, Ori Harel, M. Y. Ben Zion, Naomi Oppenheimer2026-08-04
🔢 mathematics

The Asymptotic Analysis of Some PDE and Steklov Eigenvalue Problems with Partially Reactive Patches in 3-D

This paper employs matched asymptotic expansions to derive three-term asymptotic formulas for the mean first-reaction time, splitting probabilities, and spectral properties of mixed Steklov-Neumann problems in a 3D spherical domain with small, partially reactive surface patches, accounting for arbitrary reactivities and spatial configurations.

Denis S. Grebenkov, Michael J. Ward2026-08-04
🔢 mathematics

Correlation Lengths for Stochastic Matrix Product States

This paper establishes the existence of thermodynamic limits and proves that two-point correlations in stochastically generated matrix product states decay exponentially or polynomially depending on the mixing properties of the underlying strictly stationary tensor distribution, thereby unifying and extending recent results on random MPS ensembles through a transfer-operator framework.

Lubashan Pathirana, Albert H. Werner2026-08-04