Information-Theoretic Obstructions to Embedding Reconstruction: Sharp Constants via Alpay Operator Theory and Categorical Frameworks

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Abstract

This article establishes sharp information-theoretic limits on reconstructing high-dimensional embeddings from probabilistic outputs. For a system with embedding dimension d and output entropy H, any reconstruction ê satisfies E[∥ê − e∥ 2 2 ] ≥ 1 2πe • d H 2 , with equality achieved for Gaussian distributions. The proof employs the Alpay ⋆-algebra structure, whose derivation property yields fixed-point theorems via Grothendieck's adjoint functor theorem. It is proved that the Alpay entropic operator Φ creates reconstruction barriers when ∥Φ∥ op > e Hc. Spectral formulas λ 1 = 1 − exp(−H) connecting to optimal transport are derived, and a categorical framework is developed where reconstruction morphisms factor through the initial object φ ∞. The constant 1 2πe emerges from Shannon's entropy power inequality through spectral analysis. Algorithms achieving these bounds are provided along with topological invariants. Permanently archived on Arweave.
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Data may be preliminary. 9 June 2025 V1 Latest version Share on Information-Theoretic Obstructions to Embedding Reconstruction: Sharp Constants via Alpay Operator Theory and Categorical Frameworks Author : Faruk Alpay 0009-0009-2207-6528 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.174948658.89709607/v1 177 views 114 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This article establishes sharp information-theoretic limits on reconstructing high-dimensional embeddings from probabilistic outputs. For a system with embedding dimension d and output entropy H, any reconstruction ê satisfies E[∥ê − e∥ 2 2 ] ≥ 1 2πe • d H 2, with equality achieved for Gaussian distributions. The proof employs the Alpay ⋆-algebra structure, whose derivation property yields fixed-point theorems via Grothendieck's adjoint functor theorem. It is proved that the Alpay entropic operator Φ creates reconstruction barriers when ∥Φ∥ op > e Hc. Spectral formulas λ 1 = 1 − exp(−H) connecting to optimal transport are derived, and a categorical framework is developed where reconstruction morphisms factor through the initial object φ ∞. The constant 1 2πe emerges from Shannon's entropy power inequality through spectral analysis. Algorithms achieving these bounds are provided along with topological invariants. Permanently archived on Arweave. Supplementary Material File (information_theoretic_obstructions_to_embedding_reconstruction__sharp_constants_via_alpay_operator_theory_and_categorical_frameworks.pdf) Download 558.30 KB Information & Authors Information Version history V1 Version 1 09 June 2025 Copyright This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License Keywords alpay algebra approximation theory category theory computational geometry convex optimization entropic bounds functional analysis generative models high-dimensional embeddings information theory manifold learning metric geometry non-commutative geometry operator algebras optimal transport quantum information theory reconstruction limits representation learning sheaf theory statistical physics topological data analysis Authors Affiliations Faruk Alpay 0009-0009-2207-6528 [email protected] Independent Researcher Adana View all articles by this author Metrics & Citations Metrics Article Usage 177 views 114 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Faruk Alpay. 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