Let be a probability measure on the unit circle and assume is nontrivial, i.e., its support is an infinite set. By a combination of the Radon-Nikodym
and Lebesgue decomposition theorems, any such measure can be uniquely
decomposed into
,
where is singular with respect to and with the absolutely continuous part of .[1]
The orthogonal polynomials associated with are defined as
,
such that
.
The Szegő recurrence
The monic orthogonal Szegő polynomials satisfy a recurrence relation of the form
Geronimus' theorem states that the Verblunsky coefficients associated with are the Schur parameters:[3]
Verblunsky's theorem
Verblunsky's theorem states that for any sequence of numbers in there is a unique nontrivial probability measure on with .[4]
Baxter's theorem
Baxter's theorem states that the Verblunsky coefficients form an absolutely convergent series if and only if the moments of form an absolutely convergent series and the weight function is strictly positive everywhere.[5]
Szegő's theorem
For any nontrivial probability measure on , Verblunsky's form of Szegő's theorem states that
The left-hand side is independent of but unlike Szegő's original version, where , Verblunsky's form does allow .[6] Subsequently,
.
One of the consequences is the existence of a mixed spectrum for discretized Schrödinger operators.[7]
Rakhmanov's theorem
Rakhmanov's theorem states that if the absolutely continuous part of the measure is positive almost everywhere then the Verblunsky coefficients tend to 0.
Simon, Barry (2010). Szegő's theorem and its descendants: spectral theory for L² perturbations of orthogonal polynomials. Princeton University Press. ISBN978-0-691-14704-8.