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In mathematical analysis, Hölder's inequality, named after Otto Hölder, is a fundamental inequality relating Lp spaces: let S be a measure space, let 1 ≤ p, q ≤ ∞ with 1/p + 1/q = 1, let f be in Lp(S) and g be in Lq(S). Then fg is in L1(S) and

\|fg\|_1 \le \|f\|_p \|g\|_q.

The numbers p and q above are said to be Hölder conjugates of each other.

Hölder's inequality is used to prove the generalization of the triangle inequality in the space Lp, the Minkowski inequality, and also to establish that Lp is dual to Lq.

Notable special cases


\sum_{k=1}^n |x_k y_k| \leq \left( \sum_{k=1}^n |x_k|^p \right)^{1/p} \left( \sum_{k=1}^n |y_k|^q \right)^{1/q}

  • If S=N with the counting measure, then we get Holder's inequality for sequences from lp spaces
\sum\limits_{n=1}^{\infty} |x_n \cdot y_n| \le \left( \sum\limits_{n=1}^{\infty} |x_n|^p \right)^{1/p} \cdot \left( \sum\limits_{n=1}^{\infty} |y_n|^q \right)^{1/q},\; \forall x \in l^p, y\in l^q.

\left|\int f(x)g(x)\,dx\right|\leq\left(\int \left|f(x)\right|^p\,dx \right)^{1/p}\cdot \left(\int\left|g(x)\right|^q\,dx\right)^{1/q}.

  • For the probability space (\Omega,\mathcal{F},\mathbb{P}), L^p(\Omega,\mathcal{F},\mathbb{P}) denotes the space of the random variables with finite p-moment, \mathbb{E}\left* < \infty, where the symbol \mathbb{E} denotes the expected value. Holder's inequality becomes
\mathbb{E}|XY| \le \left(\mathbb{E}|X|^p\right)^{1/p} \cdot \left( \mathbb{E}|Y|^q \right)^{1/q},\; \forall X \in L^p, Y \in L^q.

Generalization


The following generalization can be proven by induction.

Assume p_k\geq 1, k=1,\ldots n are such that

\sum_{k=1}^n \frac{1}{p_k}=1
Assume that u_k\in L^{p_k}(S). Then \prod_{k=1}^n u_k \in L^1(S) and
\left\|\prod_{k=1}^n u_k\right\|_{\displaystyle L^1(S)}\leq \prod_{k=1}^n \|u_k\|_{\displaystyle L^{p_k}(S)}

Inequalities | Functional analysis

Hölder-Ungleichung | Inégalité de Hölder | Nierówność Höldera | Неравенство Гёльдера | Hölder-egyenlőtlenség | Hölder Eşitsizliği | 赫尔德不等式

 

This article is licensed under the GNU Free Documentation License. It uses material from the "Hölder's inequality".

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