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arxiv: 1411.2404 · v1 · pith:BM2SEN2Anew · submitted 2014-11-10 · 💻 cs.IT · cs.CG· cs.DS· math.FA· math.IT

The Johnson-Lindenstrauss lemma is optimal for linear dimensionality reduction

classification 💻 cs.IT cs.CGcs.DSmath.FAmath.IT
keywords varepsilonboundjohnson-lindenstrausslemmalinearloweralonbounds
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For any $n>1$ and $0<\varepsilon<1/2$, we show the existence of an $n^{O(1)}$-point subset $X$ of $\mathbb{R}^n$ such that any linear map from $(X,\ell_2)$ to $\ell_2^m$ with distortion at most $1+\varepsilon$ must have $m = \Omega(\min\{n, \varepsilon^{-2}\log n\})$. Our lower bound matches the upper bounds provided by the identity matrix and the Johnson-Lindenstrauss lemma, improving the previous lower bound of Alon by a $\log(1/\varepsilon)$ factor.

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