This paper (page 157) diagonalized circulant matrix $S$ like this where $\psi$ is an eigenvalue and $\Omega$ is composed of the eigenvectors as columns:
$$ \Omega^{-1}S\Omega = \begin{bmatrix} \psi_0 & 0 & \dots & 0 \\ 0 & \psi_1 & \dots & 0 \\ \vdots & & \ddots & \vdots \\ 0 & \dots & 0 & \psi_{n - 1} \end{bmatrix} $$
It was then stated that this is a bijective and linear transformation between 3 algebras:
- The algebra of columns of $\mathbb{C}^n$, identified with the maps from $\mathbb{Z}_n$ to $\mathbb{C}$
- The algebra of circulating matrices
- The algebra of diagonal matrices
It is said that the product in the first algebra is the convolution product. It is also stated that the last isomorphism stems from the fact that all circulant matrices are polynomials in
$$ J = \begin{bmatrix} 0 & 0 & \dots & 1 \\ 1 & 0 & 0 \ \dots & 0 \\ 0 & 1 & \dots & 0 \\ \vdots & & \ddots & \vdots \\ 0 & & \dots & 0 \end{bmatrix} $$ since $J^n = I_n$, its eigenvalues will be the $n$th roots of unity that appear in the DFT formula, and the eigenvectors of $J$ remain eigenvectors for every polynomial in $J$, e.g. for every circulating matrix $S_v = \sum_{k = 0}^{n - 1}v_kJ^k$.
Firstly, I don't exactly understand what the paper means to be a bijective and linear transformation here and how we should even go on about proving how algebras are isomorphic. I also don't understand what it means for a matrix to be a polynomial in another matrix. In particular, the fact that circulant matrices are polynomials in the permutation matrix $J$. In linear algebra, the only polynomials I've come across are characteristic polynomials of matrices.
I probably need to learn more topics to understand exactly what is going on here. But I would like to make sense of this and get a grasp of it if possible.