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Every Matrix is a Product of Toeplitz Matrices

Ke Ye, +1 more
- 01 Jun 2016 - 
- Vol. 16, Iss: 3, pp 577-598
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TLDR
In this article, it was shown that toeplitz and Hankel matrices do not have a subspace of size at most 2n+5, and that such subspaces do not exist even if the factors are symmetric Toplitz or persymmetric Hankel.
Abstract
We show that every $$n\,\times \,n$$n×n matrix is generically a product of $$\lfloor n/2 \rfloor + 1$$?n/2?+1 Toeplitz matrices and always a product of at most $$2n+5$$2n+5 Toeplitz matrices. The same result holds true if the word `Toeplitz' is replaced by `Hankel,' and the generic bound $$\lfloor n/2 \rfloor + 1$$?n/2?+1 is sharp. We will see that these decompositions into Toeplitz or Hankel factors are unusual: We may not, in general, replace the subspace of Toeplitz or Hankel matrices by an arbitrary $$(2n-1)$$(2n-1)-dimensional subspace of $${n\,\times \,n}$$n×n matrices. Furthermore, such decompositions do not exist if we require the factors to be symmetric Toeplitz or persymmetric Hankel, even if we allow an infinite number of factors.

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Journal ArticleDOI

Asymptotic Quantum Algorithm for the Toeplitz Systems

TL;DR: It is shown that the algorithm's complexity is nearly $O(\kappa\textrm{log}^2 n)$, where $\kappa$ and $n$ are the condition number and the dimension of $T_n$ respectively, which implies the algorithm is exponentially faster than the best classical algorithm for the same problem.
Journal ArticleDOI

Toeplitz determinants whose elements are the coefficients of analytic and univalent functions

TL;DR: In this article, the class of analytic and univalent functions in which the Toeplitz determinants are the Taylor coefficients of functions in and certain of its subclasses is studied. But the analysis is restricted to functions of the form.
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Improved Singular Value Decomposition (TopSVD) for Source Number Estimation of Low SNR in Blind Source Separation

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