English

On the $L_2$ Markov Inequality with Laguerre Weight

Classical Analysis and ODEs 2016-05-10 v1

Abstract

Let wα(t)=tαetw_{\alpha}(t)=t^{\alpha}\,e^{-t}, α>1\alpha>-1, be the Laguerre weight function, and wα|\cdot|_{w_\alpha} denote the associated L2L_2-norm, i.e., fwα:=(0wα(t)f(t)2dt)1/2. | f|_{w_\alpha}:=\Big(\int_{0}^{\infty}w_{\alpha}(t)| f(t)|^2\,dt\Big)^{1/2}. Denote by Pn{\cal P}_n the set of algebraic polynomials of degree not exceeding nn. We study the best constant cn(α)c_n(\alpha) in the Markov inequality in this norm, pwαcn(α)pwα,pPn, | p^{\prime}|_{w_\alpha}\leq c_n(\alpha)\,| p|_{w_\alpha}\,,\quad p\in {\cal P}_n\,, namely the constant cn(α)=supp0pPnpwαpwα, c_{n}(\alpha)=\sup_{\mathop{}^{p\in {\cal P}_n}_{p\ne 0}}\frac{| p^{\prime}|_{w_\alpha}}{| p|_{w_\alpha}}\,, and we are also interested in its asymptotic value c(α)=limncn(α)n. c(\alpha)=\lim_{n\rightarrow\infty}\frac{c_{n}(\alpha)}{n}\,. In this paper we obtain lower and upper bounds for both cn(α)c_{n}(\alpha) and c(α)c(\alpha). % Note that according to a result of P. D\"{o}rfler from 2002, c(α)=[j(α1)/2,1]1c(\alpha)=[j_{(\alpha-1)/2,1}]^{-1}, with jν,1j_{\nu,1} being the first positive zero of the Bessel function Jν(z)J_{\nu}(z), hence our bounds for c(α)c(\alpha) imply bounds for j(α1)/2,1j_{(\alpha-1)/2,1} as well.

Keywords

Cite

@article{arxiv.1605.02508,
  title  = {On the $L_2$ Markov Inequality with Laguerre Weight},
  author = {Geno Nikolov and Alexei Shadrin},
  journal= {arXiv preprint arXiv:1605.02508},
  year   = {2016}
}

Comments

17 pages, one figure