2022
DOI: 10.1112/blms.12657
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Stochastic approximation of lamplighter metrics

Abstract: We observe that embeddings into random metrics can be fruitfully used to study the ๐ฟ 1 -embeddability of lamplighter graphs or groups, and more generally lamplighter metric spaces. Once this connection has been established, several new upper bound estimates on the ๐ฟ 1 -distortion of lamplighter metrics follow from known related estimates about stochastic embeddings into dominating tree-metrics. For instance, every lamplighter metric on an ๐‘›-point metric space embeds bi-Lipschitzly into ๐ฟ 1 with distortion … Show more

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References 76 publications
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