Entropy-Smooth Structures on Topological Manifolds
Amandip Sangha
TL;DR
This work develops an information-theoretic characterization of smooth structures on topological manifolds by replacing charts with small-scale entropy data from local probes and analyzing a quadratic entropy response. It defines entropy-smoothness through a finite, well-behaved family of probes and axioms that recover the classical $C^{\infty}$ atlas, proving an equivalence between the entropy-smooth and standard smooth categories. The framework is stable under perturbations, compatible with products and submanifolds, and provides entropy-based criteria for immersions, submersions, and diffeomorphisms, thereby connecting differentiability to information-theoretic invariants. The results lay the groundwork for broader programs linking entropy, diffusion, and differential geometry, potentially enabling entropy-based reconstructions of Riemannian metrics and curvature. Overall, smooth structure is shown to be an intrinsic information-theoretic phenomenon that can be captured without presupposing differentiability on the underlying space.
Abstract
We introduce an information-theoretic framework for smooth structures on topological manifolds, replacing coordinate charts with small-scale entropy data of local probability probes. A concise set of axioms identifies admissible coordinate functions and reconstructs a smooth atlas directly from the quadratic entropy response. We prove that this entropy-smooth structure is equivalent to the classical smooth structure, stable under perturbations, and compatible with products, submanifolds, immersions, and diffeomorphisms. This establishes smoothness as an information-theoretic phenomenon and forms the foundational layer of a broader program linking entropy, diffusion, and differential geometry.
