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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.

Entropy-Smooth Structures on Topological Manifolds

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 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.

Paper Structure

This paper contains 21 sections, 13 theorems, 114 equations.

Key Result

Lemma 3.2

Let $V,W\subset\mathbb{R}^n$ be open sets and let $G:V\to W$ be a homeomorphism. Assume that for every smooth function $h\in C^\infty(W)$, the pullback $h\circ G$ belongs to $C^\infty(V)$. Then $G$ is a smooth map.

Theorems & Definitions (36)

  • Definition 2.1
  • Definition 2.2: Entropic tilt
  • Definition 2.3: Quadratic KL response
  • Remark 2.4: What $I_{x,\varepsilon}$ measures
  • Definition 2.5: Entropy-smooth
  • Definition 2.6: Joint entropy coefficient
  • Definition 3.1: Entropy coordinate chart
  • Lemma 3.2: Elementary Smoothness Criterion
  • proof
  • Lemma 3.3: Uniqueness of the smooth structure on $\Omega\subset\mathbb{R}^n$
  • ...and 26 more