Resumen: 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. Idioma: Inglés DOI: 10.1016/j.ic.2023.105078 Año: 2023 Publicado en: INFORMATION AND COMPUTATION 294 (2023), 105078 [19 pp.] ISSN: 0890-5401 Factor impacto JCR: 0.8 (2023) Categ. JCR: MATHEMATICS, APPLIED rank: 218 / 331 = 0.659 (2023) - Q3 - T2 Categ. JCR: COMPUTER SCIENCE, THEORY & METHODS rank: 102 / 143 = 0.713 (2023) - Q3 - T3 Factor impacto CITESCORE: 2.3 - Information Systems (Q3) - Theoretical Computer Science (Q3) - Computational Theory and Mathematics (Q3) - Computer Science Applications (Q3)