Well-invertible column subsets of sparse matrices are rare
Abstract
A random matrix is an \emph{-oblivious subspace injection} (OSI) if for every , and for every fixed -dimensional subspace , with probability close to one, one has for all . In this work, we show that in the regime and , and under a mild additional structural assumption, no constant-row-sparsity matrix is OSI, thereby answering, in a strong form, a question raised by Cama\~no, Epperly, Meyer, and Tropp. We show that the failure of the OSI property for sparse random matrices stems from a general deterministic phenomenon, thereby reducing a probabilistic problem to a non-probabilistic one. This phenomenon is related to the restricted invertibility principle introduced in the seminal work of Bourgain--Tzafriri. Let be a sequence of integers satisfying . For each , let be a non-random matrix with nonzero entries per row, whose nonzero entries have average magnitude , and such that the total number of pairs of rows with supports overlapping at two or more indices is . We prove that for every constant , as , the overwhelming majority of submatrices of have the smallest singular value . Thus, the well-invertible submatrices whose existence is guaranteed by the Bourgain--Tzafriri theorem are rare. The proof is itself based on probabilistic tools.
Keywords
Cite
@article{arxiv.2607.05384,
title = {Well-invertible column subsets of sparse matrices are rare},
author = {Han Huang and Mark Rudelson and Konstantin Tikhomirov},
journal= {arXiv preprint arXiv:2607.05384},
year = {2026}
}