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

An equivalence of moment closure and nonlinear variational approximation of the Fokker-Planck equation for dilute polymeric flow

This paper establishes that a classical moment closure and a nonlinear variational approximation of the Fokker-Planck equation are equivalent for dilute polymeric flows with linearized Hookean springs, demonstrating that the latter recovers the exact Oldroyd-B closure while providing a variational framework for future systematic reductions of nonlinear systems.

Caroline Lasser, Stephan B. Lunowa, Barbara Wohlmuth2026-07-27
🔢 mathematics

Collision and non-collision for diffusions on configuration space

This paper establishes model-independent potential-theoretic criteria for the collision and non-collision of reversible infinitely many interacting diffusion processes on the real line, relying on correlation functions and conditional densities rather than specific interaction structures, and applies these results to prove that the collision set for the Sineβ\mathsf{Sine}_\beta-symmetric Dirichlet form is polar if and only if β≥1\beta \ge 1.

Theodoros Assiotis, Kohei Suzuki2026-07-27
🔢 mathematics

Modeling and Stabilization of Transport-Dominated Flows

This paper compares numerical stabilization methods for transport-dominated atmospheric flows using Julia and Python implementations, finding that while quasi-monotone limiters best minimize unphysical extrema, the SUPG method excels at preserving sharp features despite not improving error metrics over the unstabilized case.

Christopher Agesen, Sam Bradford, Abhijnan Dikshit, Anshi Gupta, Bhavana Morankar, Jack Murphy, Nanda N. Raghunathan, Ka (…)2026-07-27