Average embedding conjecture for finite metric spaces into iterated spaces
Average embedding conjecture for finite metric spaces into iterated spaces
Let be an -point metric space. For , a bi-Lipschitz distortion- embedding of into a metric space means an embedding whose Lipschitz distortion is at most .
There is a universal constant such that, for every , there exists with the following property: whenever , every -point metric space admits a bi-Lipschitz distortion- embedding into for some -dimensional normed space , where . Conceivably, this holds even with .
This conjecture predicts sharp dependence on in the preceding average John theorem and could have algorithmic applications; the stronger assertion with is also left open.
Sources & referencesView supporting material
Primary source
Assaf Naor, “An average John theorem”, arXiv:1905.01280 (2020).
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