On constrained Markov-Nikolskii type inequality for $k-$absolutely monotone polynomials
Oleksiy Klurman

TL;DR
This paper investigates the bounds of derivatives of $k$-absolutely monotone polynomials, extending classical inequalities by determining exact orders for all $p,q$ norms and showing improvements when $q<p$.
Contribution
It provides the exact order of constrained Markov-Nikolskii inequalities for all $p,q$ values, including cases where $q<p$, improving previous bounds.
Findings
Exact order established for all $0<p,q extless=ty$.
Significant improvements found for the case $q<p$.
Extends classical inequalities to broader polynomial classes.
Abstract
We consider the classical problem of estimating norms of higher order derivatives of algebraic polynomial via the norms of polynomial itself. The corresponding extremal problem for general polynomials in uniform norm was solved by A. A. Markov. In Bernstein found the exact constant in the Markov inequality for monotone polynomials. T. Erdelyi showed that the order of the constants in constrained Markov-Nikolskii inequality for absolutely monotone polynomials is the same as in the classical one in case In this paper, we find the exact order for all values of It turned out that for the case constrained Markov-Nikolskii inequality can be significantly improved.
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Taxonomy
TopicsMathematical functions and polynomials · Iterative Methods for Nonlinear Equations · Matrix Theory and Algorithms
