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Bernstein-Nikolskii Inequality: Optimality with Respect to the Smoothness Parameter

Michael I Ganzburg, Miquel Saucedo, Sergey Tikhonov

TL;DR

The paper determines sharp, s-dependent constants in Bernstein–Nikolskii inequalities for both trig polynomials and entire functions of exponential type, establishing precise asymptotics in terms of $n$, $s$, $p$, and $q$. It proves matching upper and lower bounds, including an enhanced bound for trigonometric polynomials with concave coefficient sequences, and extends the analysis to fractional derivatives. The authors employ a blend of Jackson kernels, Paley–Wiener spaces, and discrete Hardy-space techniques, together with concave-sequence decompositions, to obtain optimal growth in $s$ and $n$ and to illuminate extremal polynomials. The results have implications for approximation theory and harmonic analysis by clarifying how smoothness constraints govern the size of derivatives in $L_q$ norms. The work also provides a rigorous framework for related inequalities in the discrete setting and deepens understanding of extremal polynomials and their zeros.

Abstract

In this paper, we study the form of the constant $C$ in the Bernstein--Nikolskii inequalities $\|f^{(s)}\|_q \lesssim C(s, p, q)\left\|f\right\|_p,\,0<p<q \leq\infty$, for trigonometric polynomials and entire functions of exponential type. We obtain the optimal behavior of the constant with respect to the smoothness parameter $s$.

Bernstein-Nikolskii Inequality: Optimality with Respect to the Smoothness Parameter

TL;DR

The paper determines sharp, s-dependent constants in Bernstein–Nikolskii inequalities for both trig polynomials and entire functions of exponential type, establishing precise asymptotics in terms of , , , and . It proves matching upper and lower bounds, including an enhanced bound for trigonometric polynomials with concave coefficient sequences, and extends the analysis to fractional derivatives. The authors employ a blend of Jackson kernels, Paley–Wiener spaces, and discrete Hardy-space techniques, together with concave-sequence decompositions, to obtain optimal growth in and and to illuminate extremal polynomials. The results have implications for approximation theory and harmonic analysis by clarifying how smoothness constraints govern the size of derivatives in norms. The work also provides a rigorous framework for related inequalities in the discrete setting and deepens understanding of extremal polynomials and their zeros.

Abstract

In this paper, we study the form of the constant in the Bernstein--Nikolskii inequalities , for trigonometric polynomials and entire functions of exponential type. We obtain the optimal behavior of the constant with respect to the smoothness parameter .
Paper Structure (12 sections, 26 theorems, 128 equations)

This paper contains 12 sections, 26 theorems, 128 equations.

Key Result

Theorem 1.1

For every $n,s\in\mathbb{N}$ and $0< p<q\leqslant \infty$, the following relation holds:

Theorems & Definitions (54)

  • Theorem 1.1
  • Theorem 1.2
  • Definition 1.3
  • Theorem 1.4
  • Remark 1.5
  • Remark 1.6
  • Lemma 2.1
  • proof
  • Lemma 2.2
  • proof
  • ...and 44 more