Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
133 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Asymptotics of sharp constants of Markov-Bernstein inequalities in integral norm with Jacobi weight (1405.0167v1)

Published 1 May 2014 in math.CA

Abstract: The classical A. Markov inequality establishes a relation between the maximum modulus or the $L{\infty}\left([-1,1]\right)$ norm of a polynomial $Q_{n}$ and of its derivative: $|Q'{n}|\leqslant M{n} n{2}|Q_{n}|$, where the constant $M_{n}=1$ is sharp. The limiting behavior of the sharp constants $M_{n}$ for this inequality, considered in the space $L{2}\left([-1,1], w{(\alpha,\beta)}\right)$ with respect to the classical Jacobi weight $w{(\alpha,\beta)}(x):=(1-x){\alpha}(x+1){\beta}$, is studied. We prove that, under the condition $|\alpha - \beta| < 4 $, the limit is $\lim_{n \to \infty} M_{n} = 1/(2 j_{\nu})$ where $j_{\nu}$ is the smallest zero of the Bessel function $J_{\nu}(x)$ and $2 \nu= \mbox{min}(\alpha, \beta) - 1$.

Summary

We haven't generated a summary for this paper yet.