What Is a Toeplitz Matrix?

T\in\mathbb{C}^{n\times n} is a Toeplitz matrix if t_{ij} = t_{i-j} for 2n-1 parameters t_{1-n},\dots,t_{n-1}. A Toeplitz matrix has constant diagonals. For n = 4:

\notag   T = \begin{bmatrix} t_0 & t_{-1} & t_{-2} & t_{-3}\\                t_1 & t_0    & t_{-1} & t_{-2}\\                t_2 & t_1    & t_0    & t_{-1}\\                t_3 & t_2    & t_1    & t_0 \end{bmatrix}.

Toeplitz matrices arise in various problems, including analysis of time series, discretization of constant coefficient differential equations, and discretization of convolution equations \int a(t-s)x(s)\,\mathrm{d} s = b(t).

Since a Toeplitz matrix depends on just 2n-1 parameters it is reasonable to expect that a linear system Tx = b can be solved in less than the O(n^3) flops that would be required by LU factorization. Indeed methods are available that require only O(n^2) flops; see Golub and Van Loan (2013) for details.

Upper triangular Toeplitz matrices can be written in the form

\notag T = \sum_{j=1}^n t_{1-j} N^{j-1}, \quad      N = \begin{bmatrix} 0 & 1      &        &   \\                     & 0      & \ddots &   \\                     &        & \ddots &   1  \\                     &        &        &   0 \end{bmatrix},

where N is upper bidiagonal with a superdiagonal of ones and N^n = 0. It follows that the product of two upper triangular Toeplitz matrices is again upper triangular Toeplitz, upper triangular Toeplitz matrices commute, and T^{-1} is also an upper triangular Toeplitz matrix (assuming t_0 is nonzero, so that T is nonsingular).

Tridiagonal Toeplitz matrices arise frequently:

\notag  T(c,d,e) = \begin{bmatrix}                      d   & e      &        &   \\                        c & d      & \ddots &   \\                          & \ddots & \ddots & e \\                          &        & c      & d                \end{bmatrix} \in\mathbb{C}^{n\times n}.

The eigenvalues of T(c,d,e) are

\notag         d + 2 (ce)^{1/2} \cos\biggl( \displaystyle\frac{k \pi}{n+1} \biggr),         \quad k = 1:n.

The Kac–Murdock–Szegö matrix is the symmetric Toeplitz matrix

\notag A(\rho) = \begin{bmatrix}    1          & \rho       & \rho^2 & \dots  & \rho^{n-1} \\    \rho       & 1          & \rho   & \dots  & \rho^{n-2} \\    \rho^2     & \rho       & 1      & \ddots & \vdots     \\    \vdots     & \vdots     & \ddots & \ddots & \rho       \\    \rho^{n-1} & \rho^{n-2} & \dots  & \rho   & 1 \end{bmatrix}.

It has a number of interesting properties.

In MATLAB, a Toeplitz matrix can be constructed using toeplitz(c,r), which produces the matrix with first column c and first row r. Example:

>> n = 5; A = toeplitz(1:n,[1 -2:-1:-n])
A =
     1    -2    -3    -4    -5
     2     1    -2    -3    -4
     3     2     1    -2    -3
     4     3     2     1    -2
     5     4     3     2     1

References

  • Gene Golub and Charles F. Van Loan, Matrix Computations, fourth edition, Johns Hopkins University Press, Baltimore, MD, USA, 2013. Section 4.7.

Related Blog Posts

This article is part of the “What Is” series, available from https://nhigham.com/category/what-is and in PDF form from the GitHub repository https://github.com/higham/what-is.

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