2017
DOI: 10.1090/proc/13778
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Isometric embeddings of snowflakes into finite-dimensional Banach spaces

Abstract: Abstract. We consider a general notion of snowflake of a metric space by composing the distance by a nontrivial concave function. We prove that a snowflake of a metric space X isometrically embeds into some finite-dimensional normed space if and only if X is finite. In the case of power functions we give a uniform bound on the cardinality of X depending only on the power exponent and the dimension of the vector space.

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Cited by 3 publications
(2 citation statements)
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“…Remarkable results in this direction were obtained by Schoenberg, independently in [Sch38a,Sch38b] and, together with von Neumann in [vNS41], where they determined all metric transforms for which a transformed Euclidean space isometrically embeds into another Euclidean space. See [DL10, Chapter 9]) for a discussion and [LDRW18] for some recent developments.…”
Section: Introductionmentioning
confidence: 99%
“…Remarkable results in this direction were obtained by Schoenberg, independently in [Sch38a,Sch38b] and, together with von Neumann in [vNS41], where they determined all metric transforms for which a transformed Euclidean space isometrically embeds into another Euclidean space. See [DL10, Chapter 9]) for a discussion and [LDRW18] for some recent developments.…”
Section: Introductionmentioning
confidence: 99%
“…Theorem 2 is inspired by the following proposition. Which is a key ingredient for showing that finite dimensional normed spaces do not contain infinite snowflakes, see [8].…”
mentioning
confidence: 99%