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.

Sequential Quantum Measurements and the Instrumental Group Algebra

This paper introduces the instrumental group algebra (IGA) as a Banach algebra framework for sequential quantum measurements, demonstrating that the time-dependent Kraus-operator density (KOD) evolves via a classical Kolmogorov equation and that combining instruments corresponds to convolution within the IGA, thereby providing a unified mathematical structure for observables that cannot be measured by orthogonal projections.

Christopher S. Jackson2026-03-10⚛️ quant-ph

Axial Symmetric Navier Stokes Equations and the Beltrami /anti Beltrami spectrum in view of Physics Informed Neural Networks

This paper establishes the theoretical framework for solving axial symmetric Navier-Stokes equations in a cylindrical topology by constructing a complete basis of harmonic 1-forms comprising Beltrami, anti-Beltrami, and closed components, thereby reducing the problem to a hierarchy of quadratic relations suitable for future optimization via Physics-Informed Neural Networks.

Pietro Fré2026-03-10🔢 math-ph

Thermodynamics a la Souriau on Kähler Non Compact Symmetric Spaces for Cartan Neural Networks

This paper clarifies the abstract geometrical formulation of thermodynamics on non-compact symmetric spaces used in Cartan Neural Networks by proving that only Kähler spaces support Gibbs distributions, explicitly characterizing their generalized temperature spaces via adjoint orbits, and demonstrating the equivalence between various information and thermodynamical geometries while establishing the covariance of these distributions under the full symmetry group.

Pietro G. Fré, Alexander S. Sorin, Mario Trigiante2026-03-10🔢 math

The half-wave maps equation on T\mathbb{T}: Global well-posedness in H1/2H^{1/2} and almost periodicity

This paper establishes global well-posedness in the critical energy space H1/2H^{1/2} and proves almost periodicity in time for the half-wave maps equation on the one-dimensional torus by leveraging its integrable Lax pair structure to derive explicit solution formulae and a general stability principle that extends to matrix-valued cases and companion results on the real line.

Patrick Gérard, Enno Lenzmann2026-03-10🔢 math