English

Jacobi polynomials on the Bernstein ellipse

Numerical Analysis 2018-03-26 v1 Classical Analysis and ODEs

Abstract

In this paper, we are concerned with Jacobi polynomials Pn(α,β)(x)P_n^{(\alpha,\beta)}(x) on the Bernstein ellipse with motivation mainly coming from recent studies of convergence rate of spectral interpolation. An explicit representation of Pn(α,β)(x)P_n^{(\alpha,\beta)}(x) is derived in the variable of parametrization. This formula further allows us to show that the maximum value of Pn(α,β)(z)\left|P_n^{(\alpha,\beta)}(z)\right| over the Bernstein ellipse is attained at one of the endpoints of the major axis if α+β1\alpha+\beta\geq -1. For the minimum value, we are able to show that for a large class of Gegenbauer polynomials (i.e., α=β\alpha=\beta), it is attained at two endpoints of the minor axis. These results particularly extend those previously known only for some special cases. Moreover, we obtain a more refined asymptotic estimate for Jacobi polynomials on the Bernstein ellipse.

Keywords

Cite

@article{arxiv.1703.04243,
  title  = {Jacobi polynomials on the Bernstein ellipse},
  author = {Haiyong Wang and Lun Zhang},
  journal= {arXiv preprint arXiv:1703.04243},
  year   = {2018}
}

Comments

24 pages

R2 v1 2026-06-22T18:43:49.759Z