Adaptive Robustness of Hypergrid Johnson-Lindenstrauss

Johnson and Lindenstrauss (Contemporary Mathematics, 1984) showed that for n > m, a scaled random projection A from ℝn to ℝm is an approximate isometry on any set S of size at most exponential in m. If S is larger, however, its points can contract arbitrarily under A. In particular, the hypergrid ([−B, B] ∩ ℤ)n is expected to contain a point that is contracted by a factor of κstat = Θ(B)−1/α, where α = m/n.

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Published
2026-06-09
DOI
https://doi.org/10.1145/3798129.3800741
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00

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Adaptive Robustness of Hypergrid Johnson-Lindenstrauss

Vinod Vaikuntanathan, Neekon Vafa, Alon Rosen, Andrej Bogdanov
Distributed and Parallel Computing Systems
article

Adaptive Robustness of Hypergrid Johnson-Lindenstrauss

Vinod Vaikuntanathan, Neekon Vafa, Alon Rosen, Andrej Bogdanov
article en

Abstract

Johnson and Lindenstrauss (Contemporary Mathematics, 1984) showed that for n > m, a scaled random projection A from ℝn to ℝm is an approximate isometry on any set S of size at most exponential in m. If S is larger, however, its points can contract arbitrarily under A. In particular, the hypergrid ([−B, B] ∩ ℤ)n is expected to contain a point that is contracted by a factor of κstat = Θ(B)−1/α, where α = m/n.

University of Ottawa (CA), Massachusetts Institute of Technology (US), Bocconi University (IT)
National Science Foundation, Natural Sciences and Engineering Research Council of Canada, European Research Council, Defense Sciences Office, DARPA
Openalex Percentile: Top 99%
Distributed and Parallel Computing Systems
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