Optimal dimension reduction bound for Euclidean point sets
Let denote the smallest such that every -point subset of can be embedded into with distortion at most . Dimension-reduction conjecture. For all and ,
This conjecture predicts the optimal Euclidean target dimension across the full range of distortion parameters, including the regime where approaches ; the paper proves a matching lower bound up to a logarithmic factor in a nearly full range of , while the stated formula remains the conjectural optimal form.
References
Primary source
Kasper Green Larsen and Jelani Nelson, “Optimality of the Johnson-Lindenstrauss Lemma”, arXiv:1609.02094 (2017).
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