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A large deviation inequality for the rank of a random matrix
Authors
M. Rudelson
Publication date
18 April 2023
Publisher
View
on
arXiv
Abstract
Let
A
A
A
be an
n
×
n
n \times n
n
×
n
random matrix with independent identically distributed non-constant subgaussian entries.Then for any
k
≤
c
n
k \le c \sqrt{n}
k
≤
c
n
,
rank
(
A
)
≥
n
−
k
\text{rank}(A) \ge n-k
rank
(
A
)
≥
n
−
k
with probability at least
1
−
exp
(
−
c
′
k
n
)
1-\exp(-c'kn)
1
−
exp
(
−
c
′
kn
)
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Full text
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oai:arXiv.org:2304.09055
Last time updated on 21/04/2023