2021
DOI: 10.1007/978-3-030-59234-9_8
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Algorithmic Fractal Dimensions in Geometric Measure Theory

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Cited by 5 publications
(3 citation statements)
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“…The point-to-set principle (PSP) of J. Lutz and N. Lutz [8] fully characterizes Hausdorff and packing dimensions in terms of effective dimensions in the Euclidean space, enabling effective dimensions to be used to answer open questions about fractal geometry, with already an interesting list of geometric measure theory results (see [3,11] and more recent results in [7,14,16,15]).…”
Section: Abstracts Of Invited Talks In the Special Session On Computa...mentioning
confidence: 99%
“…The point-to-set principle (PSP) of J. Lutz and N. Lutz [8] fully characterizes Hausdorff and packing dimensions in terms of effective dimensions in the Euclidean space, enabling effective dimensions to be used to answer open questions about fractal geometry, with already an interesting list of geometric measure theory results (see [3,11] and more recent results in [7,14,16,15]).…”
Section: Abstracts Of Invited Talks In the Special Session On Computa...mentioning
confidence: 99%
“…For example this theory defines, for every subset X of C, a quasipolynomial-time (i.e., n polylog n -time) dimension dim qp (X) in such a way that dim(X | EXP) = dim qp (X ∩ EXP) is a coherent notion of the dimension of X within the complexity class EXP = TIME(2 polynomial ). The second method [26], algorithmic dimension (also called constructive dimension or effective dimension) has to date been more widely investigated, partly because of its interactions with algorithmic randomness (i.e., Martin-Löf ran-domness [35]) and partly because of its applications to classical fractal geometry [29,31]. Algorithmic dimension plays a motivating role in this paper, but resource-bounded dimension is our main topic.…”
Section: Introductionmentioning
confidence: 99%
“…The point-to-set principle of Lutz and Lutz [8] fully characterizes Hausdorff and packing dimensions in terms of effective dimensions in the Euclidean space, enabling effective dimensions to be used to answer open questions about fractal geometry, with already an interesting list of geometric measure theory results (see [3,11] and more recent results in [7,14,15,16]).…”
mentioning
confidence: 99%