Inner product space: Difference between revisions
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u \cdot v = u_1 v_1 + \cdots + u_n v_n. | u \cdot v = u_1 v_1 + \cdots + u_n v_n. | ||
$$ | $$ | ||
== Properties == | |||
* [[Cauchy-Schwarz inequality]] | |||
* [[Triangle inequality#Generalisation to vector spaces|Triangle inequality]] | |||
* [[Parallelogram law#Generalisation into vector spaces|Parallelogram law]] | |||
Latest revision as of 09:18, 1 October 2026
An inner product space is a vector space over $\mathbb{F}$ together with an inner product $\langle \cdot, \cdot \rangle$.
Example
Let $V = \mathbb{F}^n$, $u = (u_1, \ldots, u_n), v = (v_1, \ldots, v_n) \in \mathbb{F}^n$. Then $V$ with
$$ \langle u, v \rangle = \sum_{i=1}^n u_i \overline{v}_i. $$
For $\mathbb{F} = \mathbb{R}$, $\overline{v}_i=v_i$
$$ u \cdot v = u_1 v_1 + \cdots + u_n v_n. $$