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 Structure of the Continuum Limit of Spin Foams

This paper establishes an axiomatic framework for the continuum limit of spin foam amplitudes, demonstrating that while strong convergence inevitably leads to a topological theory, a distributional approach inspired by Refined Algebraic Quantisation successfully yields a well-defined physical Hilbert space and interprets the gravitational path integral as a rigging map.

Matteo Bruno, Eugenia Colafranceschi, Fabio M. Mele, Carlo Rovelli2026-03-19
🔢 mathematics

A dynamic mechanism for prevalence of triangles in competitive networks

This paper proposes that the prevalence of triangles in competitive networks arises naturally from the requirement of dynamic stability in Lotka-Volterra systems, demonstrating that networks supporting stronger competitive interactions exhibit higher clustering coefficients and that real-world plant networks show this stabilizing structural signature.

M. N. Mooij, M. Baudena, A. S. von der Heydt, L. Miele, I. Kryven2026-03-19
🔢 mathematics

Gaussian concentration, integral probability metrics, and coupling functionals for infinite lattice systems

This paper establishes a transport-entropy framework for Gaussian concentration on infinite lattice systems, proving that while the associated transportation costs lack metric extensivity, the integral probability metric and coupling functional coincide in finite volumes to extend the Kantorovich-Rubinstein theorem and characterize concentration via Marton's inequality, ultimately converging to the dˉ\bar d-metric in the thermodynamic limit.

J. -R. Chazottes, P. Collet, F. Redig2026-03-19