Title :
On the asymptotic eigenvalue distribution of Toeplitz matrices
Author :
Gray, Robert Molten
fDate :
11/1/1972 12:00:00 AM
Abstract :
Since covariance matrices of weakly stationary random processes are Toeplitz, much of the theory involving asymptotic results for such processes is simply the theory of the asymptotic behavior of Toeplitz forms. The fundamental theorem of this type is the Szegö theorem on the asymptotic eigenvalue distribution of Toeplitz matrices. This theorem is often quoted but relatively little understood in the engineering literature. In this tutorial paper we prove the Szegiö theorem for the special case of finite-order Toeplitz matrices. In this setting the mathematical sophistication of the classical proofs is not required and the proof is both simple and intuitive--yet it contains the important concepts involved in the most general case.
Keywords :
Toeplitz matrices; Covariance matrix; Eigenvalues and eigenfunctions; Estimation theory; Information theory; Mathematics; Nonlinear filters; Physics; Random processes; Stochastic processes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1972.1054924