Landau–Kolmogorov inequality: Difference between revisions

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The best constant was wrong: it is sqrt 2 in the whole line of real numbers and 2 in the half line.
 
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Latest revision as of 11:29, 2 July 2021

In mathematics, the Landau–Kolmogorov inequality, named after Edmund Landau and Andrey Kolmogorov, is the following family of interpolation inequalities between different derivatives of a function f defined on a subset T of the real numbers:[1]

f(k)L(T)C(n,k,T)fL(T)1k/nf(n)L(T)k/n for 1k<n.

On the real line

For k = 1, n = 2 and T = [c,∞) or T = R, the inequality was first proved by Edmund Landau[2] with the sharp constants C(2, 1, [c,∞)) = 2 and C(2, 1, R) = √2. Following contributions by Jacques Hadamard and Georgiy Shilov, Andrey Kolmogorov found the sharp constants and arbitrary n, k:[3]

C(n,k,)=ankan1+k/n,

where an are the Favard constants.

On the half-line

Following work by Matorin and others, the extremising functions were found by Isaac Jacob Schoenberg,[4] explicit forms for the sharp constants are however still unknown.

Generalisations

There are many generalisations, which are of the form

f(k)Lq(T)KfLp(T)αf(n)Lr(T)1α for 1k<n.

Here all three norms can be different from each other (from L1 to L, with p=q=r=∞ in the classical case) and T may be the real axis, semiaxis or a closed segment.

The Kallman–Rota inequality generalizes the Landau–Kolmogorov inequalities from the derivative operator to more general contractions on Banach spaces.[5]

Notes

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