Generalized Bounded Variation and Inserting point masses
Abstract
Description
Let $dμ$ be a probability measure on the unit circle and $dν$ be the measure formed by adding a pure point to $dμ$. We give a simple formula for the Verblunsky coefficients of $dν$ based on a result of Simon.
Then we consider $dμ_0$, a probability measure on the unit circle with $\ell^2$ Verblunsky coefficients $(α_n (dμ_0))_{n=0}^{\infty}$ of bounded variation. We insert $m$ pure points to $dμ$, rescale, and form the probability measure $dμ_m$. We use the formula above to prove that the Verblunsky coefficients of $dμ_m$ are in the form $α_n(dμ_0) + \sum_{j=1}^m \frac{\ol{z_j}^{n} c_j}{n} + E_n$, where the $c_j$'s are constants of norm 1 independent of the weights of the pure points and independent of $n$; the error term $E_n$ is in the order of $o(1/n)$. Furthermore, we prove that $dμ_m$ is of $(m+1)$-generalized bounded variation - a notion that we shall introduce in the paper. Then we use this fact to prove that $\lim_{n \to \infty} \vp_n^*(z, dμ_m)$ is continuous and is equal to $D(z, dμ_m)^{-1}$ away from the pure points.
To appear in Constructive Approximation
To appear in Constructive Approximation