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math.ST updates on arXiv.org

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Invertibility of random submatrices via tail decoupling and a Matrix Chernoff Inequality
Stéphane Chrétien, Sébastien Darses · 2011-03-16 · via math.ST updates on arXiv.org

Let $X$ be a $n\times p$ matrix with coherence $μ(X)=\max_{j\neq j'} |X_j^tX_{j'}|$. We present a simplified and improved study of the quasi-isometry property for most submatrices of $X$ obtained by uniform column sampling. Our results depend on $μ(X)$, $\|X\|$ and the dimensions with explicit constants, which improve the previously known values by a large factor. The analysis relies on a tail decoupling argument, of independent interest, and a recent version of the Non-Commutative Chernoff inequality (NCCI).

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