Computable Gelfand Duality
Peter Burton, Christopher J. Eagle, Alec Fox, Isaac Goldbring, Matthew, Harrison-Trainor, Timothy H. McNicholl, Alexander Melnikov, Teerawat, Thewmorakot

TL;DR
This paper develops a computable version of Gelfand Duality, linking computably compact metrizable spaces with computable unital commutative C*-algebras, enabling effective analysis of these structures.
Contribution
It introduces a computable framework for Gelfand Duality, bridging computable topology and operator algebras in a novel way.
Findings
Establishes a computable correspondence between spaces and algebras.
Provides effective methods for representing compact metrizable spaces.
Enables algorithmic analysis of C*-algebras via topological data.
Abstract
We establish a computable version of Gelfand Duality. Under this computable duality, computably compact presentations of metrizable spaces uniformly effectively correspond to computable presentations of unital commutative algebras.
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Taxonomy
TopicsComputability, Logic, AI Algorithms
