A threshold phenomenon for embeddings of Euclidean snowflakes and impossibility of dimension reduction
Abstract
Fix 0<θleqslant 1. We prove that if 1leqslant p leqslant 2/θ, then the θ-snowflake of ℓ2k, namely, ℝk equipped with the metric ((x,y)∈ ℝk× ℝk)↦ |x−y|2θ, embeds with distortion O(1) into ℓpm for some integer m≲p,θk, which is optimal as k→ ∞, as seen by comparing dimensions. However, for p larger than the sharp threshold 2/θ the following change in behavior occurs: If a (1/√k)-dense subset of the Euclidean sphere Sk−1 embeds into ℓpm with distortion O(1), then necessarily m≳p,θ( k/log k)pθ/2, which grows super-linearly in k as pθ/2>1, and this dimension bound is optimal as k→ ∞ up to lower order factors. We deduce from this statement that if 2<p<∞, then there exist arbitrarily large n-point subsets of ℓp with the property that if they embed with distortion O(1) into ℓpm, then necessarily m≳p ((log n)/(loglog n)2)p/2, thus demonstrating that the statement of the Johnson--Lindenstrauss dimension reduction lemma fails to hold for ℓp
Related
- Optimal Average Distortion for Non-Expansive Embeddings of Euclidean Metrics into the Line: With applications to cut-matching games and vertex expansion
- The sharp and non-sharp threshold phenomenon in buffered and Go-or-Grow systems
- Complete bipartite embeddings, lattice non-embeddability, and non-Euclidean powers of information distance
- The No-Meaning Falsity: The Structural Impossibility of the Arbitrary Sign in Classical Arabic
- On the Impossibility of Estimating the Average Mixing Time
BibTeX
@misc{naor2026threshold,
title = {{A threshold phenomenon for embeddings of Euclidean snowflakes and impossibility of dimension reduction}},
author = {Assaf Naor and Kevin Ren},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.01079},
eprint = {2609.01079},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.01079},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - A threshold phenomenon for embeddings of Euclidean snowflakes and impossibility of dimension reduction
AU - Assaf Naor
AU - Kevin Ren
PY - 2026
DA - 2026/09/01
PB - arXiv
DO - 10.48550/arxiv.2609.01079
UR - https://arxiv.org/abs/2609.01079
AB - Fix 0<θleqslant 1. We prove that if 1leqslant p leqslant 2/θ, then the θ-snowflake of ℓ_2^k, namely, ℝ^k equipped with the metric ((x,y)∈ ℝ^k× ℝ^k)↦ |x−y|_2^θ, embeds with distortion O(1) into ℓ_p^m for some integer m≲_p,θk, which is optimal as k→ ∞, as seen by comparing dimensions. However, for p larger than the sharp threshold 2/θ the following change in behavior occurs: If a (1/√k)-dense subset of the Euclidean sphere S^k−1 embeds into ℓ_p^m with distortion O(1), then necessarily m≳_p,θ( k/log k)^pθ/2, which grows super-linearly in k as pθ/2>1, and this dimension bound is optimal as k→ ∞ up to lower order factors. We deduce from this statement that if 2<p<∞, then there exist arbitrarily large n-point subsets of ℓ_p with the property that if they embed with distortion O(1) into ℓ_p^m, then necessarily m≳_p ((log n)/(loglog n)^2)^p/2, thus demonstrating that the statement of the Johnson--Lindenstrauss dimension reduction lemma fails to hold for ℓ_p
ER -