The entropy profiles of a definable set over finite fields
Tobias Boege
TL;DR
This work establishes that entropy profiles derived from uniform distributions on definable sets over finite fields exhibit finitely many stable asymptotic types as the field size grows, with the type determined by the extension degree modulo a period. The analysis combines model-theoretic results on definable sets (via Galois stratification and Lang–Weil-type counts) with information-theoretic tools (entropy profiles, fiber decompositions) to produce computable leading terms and periodic behavior. In particular, irreducible definable sets yield entropy profiles that refine the algebraic matroid of the variety, linking information geometry to algebraic geometry and providing an algebraic matroidal, almost-entropic perspective. The KR configuration illustrates essential conditionality, and the framework extends to toric/linear-congruence cases, enabling explicit, computable entropy profiles and furnishing a suite of post-processing operations to study information inequalities within this definable-algebraic setting.
Abstract
A definable set $X$ in the first-order language of rings defines a family of random vectors: for each finite field $\mathbb{F}_q$, let the distribution be supported and uniform on the $\mathbb{F}_q$-rational points of $X$. We employ results from the model theory of finite fields to show that their entropy profiles settle into one of finitely many stable asymptotic behaviors as $q$ grows. The attainable asymptotic entropy profiles and their dominant terms as functions of $q$ are computable. This generalizes a construction of Matúš which gives an information-theoretic interpretation to algebraic matroids.
