Inner Product Space

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tags
Math, Linear Algebra
source
https://en.wikipedia.org/wiki/Inner_product_space

An inner product space is a Vector Space \(V\) over a field \(F\) which is equipped with an inner product \(\langle \cdot, \cdot \rangle: V \times V \mapsto F\) and satisfies the following for \(u, v \in V\) and \(c \in F\):

  1. Conjugate symmetry: \[ \langle \uvec, \vvec \rangle = \overline{\langle \vvec, \uvec \rangle}\]

  2. Linearity in the first argument:

    \begin{align*} \langle c\uvec, \vvec \rangle &= c \langle \uvec, \vvec \rangle \\ \langle \uvec + \xvec, \vvec \rangle &= \langle \uvec, \vvec \rangle + \langle \uvec, \vvec \rangle\\ \end{align*}

  3. Positive Definite: \[\langle \uvec, \uvec \rangle > 0 \quad \forall \uvec \in V/\{\mathbf{0}\} \]

You can have an inner product space without positive definiteness, but that criteria makes the IPS strict.

Given the inner product, we can define a norm,

\[\|{\uvec}\|_2 = \sqrt{\langle \uvec, \uvec \rangle}\]

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