Toeplitz matrix

From Exampleproblems

Jump to: navigation, search

In the mathematical discipline of linear algebra, a Toeplitz matrix or diagonal-constant matrix, named after Otto Toeplitz, is a matrix in which each descending diagonal from left to right is constant. For instance, the following matrix is a Toeplitz matrix:


\begin{bmatrix}
a & b & c & d & e \\
f & a & b & c & d \\
g & f & a & b & c \\
h & g & f & a & b \\
j & h & g & f & a 
\end{bmatrix}.

Any m×n matrix A of the form


A =
\begin{bmatrix}
  a_{0} & a_{-1} & a_{-2} & \ldots & \ldots  &a_{-n+1}  \\
  a_{1} & a_0  & a_{-1} &  \ddots   &  &  \vdots \\
  a_{2}    & a_{1} & \ddots  & \ddots & \ddots& \vdots \\ 
 \vdots &  \ddots & \ddots &   \ddots  & a_{-1} & a_{-2}\\
 \vdots &         & \ddots & a_{1} & a_{0}&  a_{-1} \\
a_{m-1} &  \ldots & \ldots & a_{2} & a_{1} & a_{0}
\end{bmatrix}

is a Toeplitz matrix. If the i,j element of A is denoted Ai,j, then we have

Ai,j = aij.

Properties

Generally, a matrix equation

Ax = b

is the general problem of n linear simultaneous equations to solve. If A is a Toeplitz matrix, then the system is rather special (has only 2n − 1 degrees of freedom, rather than n2). One could therefore expect that solution of a Toeplitz system would therefore be easier.

This can be investigated by the transformation

AUnUmA,

which has rank 2, where Uk is the down-shift operator. Specifically, one can by simple calculation show that


AU_n-U_mA=
\begin{bmatrix}
a_{-1} & \cdots & a_{-n+1} & 0 \\
\vdots &        &          & -a_{-n+1} \\
\vdots &        &          & \vdots \\
 0     & \cdots &          & -a_{n-n-1}
\end{bmatrix}

where empty places in the matrix are replaced by zeros.

Notes

These matrices have uses in computer science because it can be shown that the addition of two Toeplitz matrices can be done in O(n) time and the matrix multiplication of two Toeplitz matrices can be done in O(n log n) time. Toeplitz systems of form Ax = b can be solved by Levinson recursion.

They are also closely connected with Fourier series, because the multiplication operator by a trigonometric polynomial, compressed to a finite-dimensional space, can be represented by such a matrix.

If a Toeplitz matrix has the additional property that ai = ai + n, then it is a circulant matrix.

External link

Toeplitz and Circulant Matices: A Review, by R. M. Gray

Argan Oil
Natural Skin Care
Organic Skin Care
visitor stats