Math — Ag explores the powerful intersection where advanced mathematics meets agricultural science, tackling complex challenges from crop optimization to sustainable farming systems. By applying rigorous statistical models and algorithmic simulations, researchers in this field develop tools to predict climate impacts on yields and enhance global food security without relying on trial-and-error methods.

Gist.Science curates the latest research from arXiv, ensuring that every new preprint in this category is processed immediately. We transform dense academic papers into accessible resources, offering both plain-language overviews for broader understanding and detailed technical summaries for specialists. Below are the latest papers in Math — Ag, ready to help you navigate the future of farming through data.

🔢 mathematics

A Geometric Realization of Spherical T-Duality via \star-Diagrams

This paper establishes a geometric realization of spherical T-duality for oriented S3\mathrm{S}^3-bundles over S4\mathrm{S}^4 by relating it to bifree \star-diagrams and demonstrating that, after stabilization, these dualities between homotopy 7-spheres (including exotic ones like the Gromoll–Meyer sphere) are implemented by product-preserving generalized logarithmic transformations.

Leonardo F. Cavenaghi, Lino Grama, Ludmil Katzarkov2026-07-17
🔢 mathematics

Topological reconstruction theorems over uncountable algebraically closed fields

This paper extends the Kollár-Lieblich-Olsson-Sawin theorems on reconstructing varieties from their Zariski topological spaces to arbitrary quasi-projective varieties over uncountable algebraically closed fields of any characteristic, utilizing model-theoretic techniques known as the Zilber trichotomy for ACF-relics to affirmatively resolve the original authors' relevant speculations.

Benjamin Castle, Ronan O'Gorman2026-07-17