This collection explores the fascinating intersection of mathematics and data science, where rigorous theory meets real-world application. From developing new algorithms to refining statistical models, these papers tackle how we organize, interpret, and predict patterns in an increasingly complex digital world. Whether you are a researcher or simply curious about the logic driving modern technology, this field offers a deep dive into the tools shaping our future.

Every entry here originates from arXiv, the premier repository for scientific preprints. At Gist.Science, we process each new submission in this category to provide both accessible plain-language summaries and detailed technical overviews, ensuring that groundbreaking research is understandable to everyone. Below are the latest papers in this dynamic category, ready to help you grasp the latest mathematical breakthroughs without the usual barriers.

🔢 mathematics

Macroscopic Multistability and Bifurcations in Theta-Neuron Networks with Distributed Delays

This paper derives a single delay differential equation for the order parameter of an all-to-all coupled theta-neuron network with distributed delays, analyzing the stability and bifurcations of two distinct equilibrium families to demonstrate how delay kernels influence multistability, stability switching, and the emergence of periodic dynamics.

Lavinia Bîrdac, Alexandru Fikl, Eva Kaslik, Raluca Mureşan2026-07-21
🔢 mathematics

Quantitative Fourier decay for Patterson-Sullivan measures of dimension larger than 1/21/2

This paper provides an elementary proof of power Fourier decay for Patterson-Sullivan measures of convex co-compact Schottky groups with dimension δ>1/2\delta > 1/2, establishing an explicit decay exponent while replacing advanced techniques like sum-product estimates and renewal theory with oscillatory integral estimates, hyperbolic geometry, and a duality argument.

Félix Lequen, Tuomas Sahlsten2026-07-21
🧬 biology

A Mathematical Model of Dengue Transmission Incorporating Hospital Capacity and Threshold-Based Fogging Interventions

This paper presents a non-smooth ordinary differential equation model of dengue transmission that integrates finite hospital capacity and threshold-triggered fogging interventions, revealing how these state-dependent constraints and control policies generate complex dynamics like oscillatory outbreaks and bifurcations to guide the design of effective, resource-aware intervention strategies.

Dipo Aldila, Joseph Páez Chávez, Aytül Gökçe, Thomas Götz, Burcu Gürbüz2026-07-21
🔢 mathematics

Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning

This paper introduces a machine learning framework that establishes a "universal dynamical clock" by mapping arbitrary oscillatory systems to uniform rotation via a Ptolemy-inspired equant, enabling the discovery of new physical laws, the resolution of long-standing biological scaling problems, and the prediction of critical transitions in complex networks.

Jingdong Zhang, Luan Yang, Murilo S. Baptista, Zefeng Zhang, Qunxi Zhu, Wei Lin, Celso Grebogi2026-07-20