Constructive Approximation

, Volume 17, Issue 3, pp 465–478

Uniqueness of Markov-Extremal Polynomials on Symmetric Convex Bodies

  • Szilárd  Révész

DOI: 10.1007/s003650010043

Cite this article as:
Révész, S. Constr. Approx. (2001) 17: 465. doi:10.1007/s003650010043


For a compact set K\subset Rd with nonempty interior, the Markov constants Mn(K) can be defined as the maximal possible absolute value attained on K by the gradient vector of an n -degree polynomial p with maximum norm 1 on K .

It is known that for convex, symmetric bodies Mn(K) = n2/r(K) , where r(K) is the ``half-width'' (i.e., the radius of the maximal inscribed ball) of the body K . We study extremal polynomials of this Markov inequality, and show that they are essentially unique if and only if K has a certain geometric property, called flatness. For example, for the unit ball Bd(\smallbf 0, 1) we do not have uniqueness, while for the unit cube [-1,1]d the extremal polynomials are essentially unique.

Key words

Markov inequality Multivariate polynomials Symmetric convex bodies Supporting hyperplanes 

AMS Classification

41A17 41A63 41A10 

Copyright information

© Springer-Verlag New York Inc. 2000

Authors and Affiliations

  • Szilárd  Révész
    • 1
  1. 1.Alfréd Rényi Mathematical Institute of the Hungarian Academy of Sciences Budapest Reáltanoda u. 13—15 1053 Hungary revesz@renyi.huHU