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

Computing Nonequilibrium Transport from Short-Time Transients: From Lorentz Gas to Heat Conduction in One Dimensional Chains

This paper demonstrates that the Transient Time Correlation Function (TTCF) method is a computationally efficient and precise alternative to traditional time-averaging approaches for calculating nonequilibrium transport coefficients in both linear and nonlinear regimes, as validated through case studies of the Lorentz gas and anharmonic oscillator chains.

Davide Carbone (Laboratoire de Physique de l'Ecole Normale Superieure, ENS Universite PSL, CNRS, Sorbonne Universite, Un (…)2026-03-11
🤖 machine learning

Verifying Good Regulator Conditions for Hypergraph Observers: Natural Gradient Learning from Causal Invariance via Established Theorems

This paper verifies that persistent observers in causally invariant hypergraph substrates satisfy the Conant-Ashby Good Regulator Theorem, thereby necessitating internal models that lead to natural gradient descent as the unique learning rule and yielding a model-dependent closed-form formula for Vanchurin's regime parameter α\alpha with a quantum-classical threshold at κ(F)=2\kappa(F)=2.

Max Zhuravlev2026-03-11
🔬 materials science

Application of dual-tree complex wavelet transform for spectra background reduction

This paper introduces a universal Dual-Tree Complex Wavelet Transform (DTCWT) method for removing spectral backgrounds in experimental data, demonstrating its superior signal preservation and reduced bias compared to traditional fitting or Fourier-based techniques through applications on X-ray powder diffraction and photoluminescence spectra.

Kazimierz Skrobas, Kamila Stefanska-Skrobas, Cyprian Mieszczynski, Renata Ratajczak2026-03-11
🔢 mathematics

On the structure of categorical duality operators

This paper systematically characterizes categorical duality operators on spin and anyon chains with internal fusion category symmetry by parameterizing them via quantum cellular automata and associated bimodule categories, demonstrating that such operators form a simplex whose extreme points correspond to simple objects, and proving that these structures inevitably flow to weakly integral fusion categories in the infrared limit when defined on tensor product Hilbert spaces.

Corey Jones, Xinping Yang2026-03-11