In mathematics, the Landau-Kolmogorov inequality is an inequality between different derivatives of a function. There are many inequalities holding this name (sometimes they are also called Kolmogorov type inequalities), common formula is
- <math>\|f^{(k)}\|_{L_q(T)} \le K \cdot \|f\|^\alpha_{L_p(T)} \cdot \|f^{(n)}\|^{1-\alpha}_{L_r(T)}</math>, where <math>(1\le k < n).</math>
Here all three norms can be different from each other (from <math>\scriptstyle L_1</math> to <math>\scriptstyle L_\infty</math>), giving different inequalities. These inequalities also can be written for function spaces on axis, semiaxis or closed segment (it is denoted by T)—it also gives bunch of different inequalities. These inequalities are still intensively studied. Most honourable results are those where exact value of minimal constant <math>\scriptstyle K=K_T(n,k,q,p,r)</math> is found.
History
An inequality of this type was firstly established by Hardy, Littlewood and Pólya. Some exact constants (<math>\scriptstyle K_{R_+}(2, 1, \infty, \infty, \infty) = 2</math>) were found by Landau in
- E. Landau, “Ungleichungen fũr zweimal differenzierbare Funktionen”, Proc. London Math. Soc., 13 (1913), 43–49.
Kolmogorov obtained one of the most outstanding results in this field, with all three norms equal to <math>\scriptstyle L_\infty</math>, he found <math>\scriptstyle K_{R}(n, k, \infty, \infty, \infty)</math>.
