Hölder's Inequality for Sums
Jump to navigation
Jump to search
Theorem
Let $p, q \in \R_{>0}$ be strictly positive real numbers such that:
- $\dfrac 1 p + \dfrac 1 q = 1$
Let:
- $\mathbf x = \sequence {x_n} \in \ell^p$
- $\mathbf y = \sequence {y_n} \in \ell^q$
where $\ell^p$ denotes the $p$-sequence space.
Let $\norm {\mathbf x}_p$ denote the $p$-norm of $\mathbf x$.
Then $\mathbf x \mathbf y = \sequence {x_n y_n} \in \ell^1$, and:
- $\norm {\mathbf x \mathbf y}_1 \le \norm {\mathbf x}_p \norm {\mathbf y}_q$
Proof
Without loss of generality, assume that $\mathbf x$ and $\mathbf y$ are non-zero.
Define:
- $\mathbf u = \sequence {u_n} = \dfrac {\mathbf x} {\norm {\mathbf x}_p}$
- $\mathbf v = \sequence {v_n} = \dfrac {\mathbf y} {\norm {\mathbf y}_q}$
Then:
- $\ds \norm {\mathbf u}_p = \dfrac 1 {\norm {\mathbf x}_p} \paren {\sum_{n \mathop = 0}^\infty \size {x_n}^p}^{1/p} = 1$
Similarly:
- $\norm {\mathbf v}_q = 1$
By Young's Inequality for Products:
- $(1): \quad \forall n \in \N: \size {u_n v_n} \le \dfrac 1 p \size {u_n}^p + \dfrac 1 q \size {v_n}^q$
By the comparison test, it follows that:
- $\mathbf u \mathbf v = \sequence {u_n v_n} \in \ell^1$
- $\mathbf x \mathbf y = \norm {\mathbf x}_p \norm {\mathbf y}_q \mathbf u \mathbf v \in \ell^1$
From $(1)$, it follows that:
- $\norm {\mathbf u \mathbf v}_1 \le \dfrac 1 p \norm {\mathbf u}_p + \dfrac 1 q \norm {\mathbf v}_q = 1$
Therefore:
- $\norm {\mathbf x \mathbf y}_1 = \norm {\mathbf x}_p \norm {\mathbf y}_q \norm {\mathbf u \mathbf v}_1 \le \norm {\mathbf x}_p \norm {\mathbf y}_q$
as desired.
$\blacksquare$
Also see
Source of Name
This entry was named for Otto Ludwig Hölder.
Historical Note
Hölder's Inequality for Sums was first found by Leonard James Rogers in $1888$, and discovered independently by Otto Ludwig Hölder in $1889$.
Sources
- 2013: Francis Clarke: Functional Analysis, Calculus of Variations and Optimal Control ... (previous) ... (next): $1.1$: Basic Definitions
- 2017: Amol Sasane: A Friendly Approach to Functional Analysis ... (previous) ... (next): $\S 1.2$: Normed and Banach spaces. Normed spaces