Orthogonal Polynomials with Recursion Coefficients of Generalized Bounded Variation

preprint2010arXivOpen access

Abstract

We consider probability measures on the real line or unit circle with Jacobi or Verblunsky coefficients satisfying an ℓp\ell^p condition and a generalized bounded variation condition. This latter condition requires that a sequence can be expressed as a sum of sequences β(l)β^{(l)}, each of which has rotated bounded variation, i.e., ∑n=0∞∣eiϕlβn+1(l)−βn(l)∣\sum_{n=0}^\infty | e^{iϕ_l} β_{n+1}^{(l)} - β_n^{(l)} | is finite for some ϕlϕ_l. This includes discrete Schrödinger operators on a half-line or line with finite linear combinations of Wigner--von Neumann type potentials. For the real line, we prove that in the Lebesgue decomposition dμ=fdm+dμsdμ=f dm + dμ_s of such measures, the intersection of (-2,2) with the support of dμsdμ_s is contained in an explicit finite set S (thus, dμdμ has no singular continuous part), and f is continuous and non-vanishing on (−2,2)∖S(-2,2) \setminus S. The results for the unit circle are analogous, with (-2,2) replaced by the unit circle.

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