Steven M. Kay: “Modern Spectral Estimation – Theory and Applications”,p. 34 exercise 2.5
Author: Panagiotis
13
Jun
In exercise
[1, p. 34 exercise 2.5] we are asked to show that
the matrix

is circulant
when
![\mathbf{e_i}^H=\left[ {\begin{array}{*{20}c}
1 & {e^{-j2\pi f_i } } & {e^{-j2\pi (2f_i) } } & \cdots & {e^{-j2\pi (n - 1)f_i } }
\end{array}} \right], i=1,2](https://lysario.de/wp-content/cache/tex_38ce66bc9234a41f314618cd54d2cfd9.png)
.
Solution:
A matrix

is circulant when its elements are arranged in the following way:
Computing the dyad

(for

) results in
We observe that this is a

hermitian toeplitz matrix.
In order to be circulant the elements

and

,

and

, etc. have to be equal. Or in general that the following relation must hold:
Because
[1, p.22] 
,

where

are distinct integers in the range
![[-n/2,n/2-1]](https://lysario.de/wp-content/cache/tex_24916734a0a5230271c84429761581eb.png)
for

even or [-(n-1)/2, (n-1)/2] for

odd we can rewrite the right hand side of (
2) as:
But
thus
which proofs that the dyad

is circulant because relation (
2) is satisfied. The matrix

is circulant, as the product of a circulant matrix with a scalar is itself a circulant matrix, the identity matrix is a special form of a circulant matrix, and also the sum of circulant matrices is also a circulant matrix. QED.
[1] Steven M. Kay: “Modern Spectral Estimation – Theory and Applications”, Prentice Hall, ISBN: 0-13-598582-X.
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