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.

Relating auxiliary field formulations of 4d4d duality-invariant and 2d2d integrable field theories

This paper elucidates the connections between auxiliary field formulations of four-dimensional duality-invariant electrodynamics and two-dimensional integrable sigma models by demonstrating that their relationships are governed by Legendre transformations and field redefinitions, thereby establishing correspondences between specific formalisms and extending known families of integrable deformations.

Nicola Baglioni, Daniele Bielli, Michele Galli, Gabriele Tartaglino-Mazzucchelli2026-02-25🌀 nlin

Entropy stable numerical schemes for divergence diminishing Chew, Goldberger & Low equations for plasma flows

This paper proposes entropy-stable numerical schemes for the generalized Lagrange multiplier (GLM) reformulation of the Chew, Goldberger & Low (CGL) plasma flow equations, demonstrating through numerical results that this approach significantly improves the control of magnetic field divergence compared to the standard CGL model.

Chetan Singh, Harish Kumar, Deepak Bhoriya, Dinshaw S. Balsara2026-02-25🔢 math-ph

Continuous Data Assimilation for Semilinear Parabolic Equations: A General Approach by Evolution Equations

This paper establishes a general framework for continuous deterministic data assimilation in semilinear parabolic equations using a nudged model driven by partial observations, proving global well-posedness and exponential convergence of the approximating solution to the reference system under suitable conditions, thereby extending the approach to diverse systems like Allen-Cahn, Cahn-Hilliard, Sellers-type energy balance, and bidomain equations.

Gianmarco Del Sarto, Matthias Hieber, Filippo Palma, Tarek Zöchling2026-02-25🔢 math-ph