Optimal terminal dimensionality reduction in Euclidean space

Let ε∈(0,1) and X⊂d be arbitrary with |X| having size n>1. The Johnson-Lindenstrauss lemma states there exists f:X→m with m = O(ε−2logn) such that ∀ x∈ X ∀ y∈ X, ||x−y||2 ≤ ||f(x)−f(y)||2 ≤ (1+ε)||x−y||2 . We show that a strictly stronger version of this statement holds, answering one of the main open questions posed by Mahabadi et al. in STOC 2018: “∀ y∈ X” in the above statement may be replaced with “∀ y∈d”, so that f not only preserves distances within X, but also distances to X from the rest of space. Previously this stronger version was only known with the worse bound m = O(ε−4logn). Our proof is via a tighter analysis of (a specific instantiation of) the embedding recipe of Mahabadi et al.

[1]  Roman Vershynin,et al.  High-Dimensional Probability , 2018 .

[2]  Gábor Lugosi,et al.  Concentration Inequalities - A Nonasymptotic Theory of Independence , 2013, Concentration Inequalities.

[3]  J. van Leeuwen,et al.  Theoretical Computer Science , 2003, Lecture Notes in Computer Science.

[4]  M. Talagrand Upper and Lower Bounds for Stochastic Processes: Modern Methods and Classical Problems , 2014 .

[5]  M. Talagrand Upper and Lower Bounds for Stochastic Processes , 2021, Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge / A Series of Modern Surveys in Mathematics.

[6]  Michael Elkin,et al.  Terminal embeddings , 2017, Theor. Comput. Sci..

[7]  B. M. Fulk MATH , 1992 .

[8]  Sjoerd Dirksen,et al.  Tail bounds via generic chaining , 2013, ArXiv.

[9]  J. M. BoardmanAbstract,et al.  Contemporary Mathematics , 2007 .

[10]  W. B. Johnson,et al.  Extensions of Lipschitz mappings into Hilbert space , 1984 .

[11]  Noga Alon,et al.  Optimal Compression of Approximate Inner Products and Dimension Reduction , 2016, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).

[12]  Sjoerd Dirksen,et al.  Dimensionality Reduction with Subgaussian Matrices: A Unified Theory , 2014, Foundations of Computational Mathematics.

[13]  Konstantin Makarychev,et al.  Nonlinear dimension reduction via outer Bi-Lipschitz extensions , 2018, STOC.

[14]  J. Neumann Zur Theorie der Gesellschaftsspiele , 1928 .

[15]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[16]  Kasper Green Larsen,et al.  Optimality of the Johnson-Lindenstrauss Lemma , 2016, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).