Smallest Singular Value of a Random Rectangular Matrix

نویسندگان

  • MARK RUDELSON
  • ROMAN VERSHYNIN
چکیده

We prove an optimal estimate of the smallest singular value of a random subGaussian matrix, valid for all dimensions. For an N n matrix A with independent and identically distributed sub-Gaussian entries, the smallest singular value of A is at least of the order p N pn 1 with high probability. A sharp estimate on the probability is also obtained. © 2009 Wiley Periodicals, Inc.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Smallest Singular Value of a Random Rectangular Matrix Mark Rudelson and Roman Vershynin

We prove an optimal estimate of the smallest singular value of a random subgaussian matrix, valid for all dimensions. For an N × n matrix A with independent and identically distributed subgaussian entries, the smallest singular value of A is at least of the order √ N − √ n − 1 with high probability. A sharp estimate on the probability is also obtained.

متن کامل

The Smallest Singular Value of a Random Rectangular Matrix

We prove an optimal estimate on the smallest singular value of a random subgaussian matrix, valid for all fixed dimensions. For an N × n matrix A with independent and identically distributed subgaussian entries, the smallest singular value of A is at least of the order √ N − √ n − 1 with high probability. A sharp estimate on the probability is also obtained.

متن کامل

Smallest singular value of random matrices and geometry of random polytopes

We study behaviour of the smallest singular value of a rectangular random matrix, i.e., matrix whose entries are independent random variables satisfying some additional conditions. We prove a deviation inequality and show that such a matrix is a “good” isomorphism on its image. Then we obtain asymptotically sharp estimates for volumes and other geometric parameters of random polytopes (absolute...

متن کامل

The singular values and vectors of low rank perturbations of large rectangular random matrices

In this paper, we consider the singular values and singular vectors of finite, low rank perturbations of large rectangular random matrices. Specifically, we prove almost sure convergence of the extreme singular values and appropriate projections of the corresponding singular vectors of the perturbed matrix. As in the prequel, where we considered the eigenvalues of Hermitian matrices, the non-ra...

متن کامل

Lower Bounds for the Smallest Singular Value of Structured Random Matrices

We obtain lower tail estimates for the smallest singular value of random matrices with independent but non-identically distributed entries. Specifically, we consider n× n matrices with complex entries of the form M = A ◦X +B = (aijξij + bij) where X = (ξij) has iid centered entries of unit variance and A and B are fixed matrices. In our main result we obtain polynomial bounds on the smallest si...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009