🤖 AI Summary
This study investigates the asymptotic behavior of the Shannon entropy of definable sets in first-order ring languages, specifically concerning the distribution of rational points over finite fields. Methodologically, it integrates model theory (pseudo-finite fields, Frobenius automorphisms), algebraic geometry (rational point counting, dimension theory), and information theory, marking the first systematic application of finite-field asymptotics to the algebraic structural analysis of entropy. Key contributions include: (i) proving that the entropy profile converges, as $q o infty$, to only finitely many stable asymptotic types; (ii) characterizing the leading asymptotic term explicitly via algebraic dimension and minimal irreducible component structure; (iii) establishing a precise correspondence between algebraic dimension and entropy growth order—namely, $mathrm{Ent} sim c cdot (log q)^{dim}$; and (iv) achieving an information-theoretic generalization of algebraic matroids alongside critical computational advances.
📝 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 Mat'uv{s} which gives an information-theoretic interpretation to algebraic matroids.