The smallest singular value of a shifted d-regular random square matrix

Abstract

We derive a lower bound on the smallest singular value of a random d-regular matrix, that is, the adjacency matrix of a random d-regular directed graph. More precisely, let C1<d< c1 n/2 n and let Mn,d be the set of all 0/1-valued square n× n matrices such that each row and each column of a matrix M∈ Mn,d has exactly d ones. Let M be uniformly distributed on Mn,d. Then the smallest singular value sn (M) of M is greater than c2 n-6 with probability at least 1-C22 d/d, where c1, c2, C1, and C2 are absolute positive constants independent of any other parameters.

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