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.

⚛️ high-energy theory

Relative entropy of entanglement and tripartite minimal surface

This paper proposes and rigorously supports a holographic dual for the relative entropy of entanglement in a boundary tripartition, equating it to the difference between the areas of a minimal bulk tripartition surface and the standard minimal surface homologous to the subsystems, with proofs provided for both general random tensor networks and specific Haar random tensor configurations.

Takato Mori, Beni Yoshida2026-10-01
⚛️ general relativity

Complete total-transmission modes of Kerr black holes

This paper constructs the complete spectrum of gravitational total-transmission modes for Kerr black holes, establishing a uniform four-family classification that resolves previous ambiguities in symmetry-related roots, clarifies the behavior of divergent branches and exceptional points, and reveals a previously unreported anomalous proximity between the n∞=3n_\infty=3 family and unconventional quasinormal modes.

Changkai Chen, Xiaohua Zhang, Zhoujian Cao, Jiliang Jing, Sheng Long2026-10-01
🔢 mathematics

Predicting properties of Scrooge ensembles with high accuracy and low sample complexity

This paper introduces efficient and accurate methods for analyzing and implementing Scrooge ensembles by developing a polynomial approximation for their moments and a quantum algorithm that estimates observable expectation values with low sample complexity, thereby overcoming previous challenges related to non-polynomial integrands and costly postselection.

Yue Wu, Yuzhi Tong, Helen Propson, Yihui Quek, Liang Mao2026-10-01
🔢 mathematics

On Lorentzian Lie groups of Nonzero Constant Curvature

This paper investigates Lie groups equipped with left-invariant Lorentzian metrics of nonzero constant sectional curvature by characterizing their Lie algebras based on the causal nature of their center and derived ideal, providing complete classifications in dimensions up to four, and proving that semisimple Lie groups admitting such metrics are locally isomorphic to SL(2,R)\mathrm{SL}(2,\mathbb R).

Mohamed Boucetta2026-10-01