English

Orthogonal polynomials, reproducing kernels, and zeros of optimal approximants

Complex Variables 2016-12-26 v2

Abstract

We study connections between orthogonal polynomials, reproducing kernel functions, and polynomials pp minimizing Dirichlet-type norms pf1α\|pf-1\|_{\alpha} for a given function ff. For α[0,1]\alpha\in [0,1] (which includes the Hardy and Dirichlet spaces of the disk) and general ff, we show that such extremal polynomials are non-vanishing in the closed unit disk. For negative α\alpha, the weighted Bergman space case, the extremal polynomials are non-vanishing on a disk of strictly smaller radius, and zeros can move inside the unit disk. We also explain how distDα(1,fPn)\mathrm{dist}_{D_{\alpha}}(1,f\cdot \mathcal{P}_n), where Pn\mathcal{P}_n is the space of polynomials of degree at most nn, can be expressed in terms of quantities associated with orthogonal polynomials and kernels, and we discuss methods for computing the quantities in question.

Keywords

Cite

@article{arxiv.1509.04807,
  title  = {Orthogonal polynomials, reproducing kernels, and zeros of optimal approximants},
  author = {Catherine Bénéteau and Dmitry Khavinson and Constanze Liaw and Daniel Seco and Alan A. Sola},
  journal= {arXiv preprint arXiv:1509.04807},
  year   = {2016}
}

Comments

22 pages, 4 figures. Submitted for publication