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∥·∥ Spectral norm.
Here and hereafter we use the spectral norm of matrices.
(c) The spectral norm of F equals (sqrt {alpha }). .
The role of the spectral norm in sparse recovery was studied in [13].
Let A be a deterministic N×N complex matrix with bounded spectral norm.
We consider a Banach space ((Omega, |cdot|)), where (|cdot|) is the spectral norm.
Now, for (|r|geq1), we give an bound for the spectral norm of the matrix Q.
Under the spectral norm constraint (32), the problem can be similarly written as (34).
For the spectral norm, by formula (11) we can achieve (gamma= frac {1+sqrt{5}}{2}).
In Section 2, we present a matrix spectral norm versions of the Wielandt inequality.
The Frobenius norm is denoted as ∥·∥, and the spectral norm is denoted as ∥·∥2.
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