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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.ic.2023.105078</dc:identifier><dc:language>eng</dc:language><dc:creator>Lutz, Jack H.</dc:creator><dc:creator>Lutz, Neil</dc:creator><dc:creator>Mayordomo, Elvira</dc:creator><dc:title>Extending the reach of the point-to-set principle</dc:title><dc:identifier>ART-2023-135357</dc:identifier><dc:description>The point-to-set principle of J. Lutz and N. Lutz (2018) has recently enabled the theory of computing to be used to answer open questions about fractal geometry in Euclidean spaces [Rn]. These are classical questions, meaning that their statements do not involve computation or related aspects of logic. In this paper we extend the reach of the point-to-set principle from Euclidean spaces to arbitrary separable metric spaces X. We first extend two algorithmic dimensions—computability-theoretic versions of classical Hausdorff and packing dimensions that assign dimensions [dim(x)] and [Dim(x)] to individual points [x E X] —to arbitrary separable metric spaces and to arbitrary gauge families. Our first two main results then extend the point-to-set principle to arbitrary separable metric spaces and to a large class of gauge families. We demonstrate the power of our extended point-to-set principle by using it to prove new theorems about classical fractal dimensions in hyperspaces.</dc:description><dc:date>2023</dc:date><dc:source>http://zaguan.unizar.es/record/128200</dc:source><dc:doi>10.1016/j.ic.2023.105078</dc:doi><dc:identifier>http://zaguan.unizar.es/record/128200</dc:identifier><dc:identifier>oai:zaguan.unizar.es:128200</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA/T64-20R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/PID2022-138703OB-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/PID2019-104358RB-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/TIN2016-80347-R</dc:relation><dc:identifier.citation>INFORMATION AND COMPUTATION 294 (2023), 105078 [19 pp.]</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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