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Inner Product Spaces

An inner product space is a vector space, say $ \cal H$ , together with a complex bilinear function $ \langle~~,~~\rangle$ having the following properties:


(i)   
$ \langle f,g\rangle = \overline{\langle g,f\rangle}$
  where 
$ f,g \in\cal H$


(ii)    $ \langle f,\alpha_1g_1+\alpha_2g_2\rangle = \alpha_1\langle f,g_1\rangle +\alpha_2\langle f,g_2\rangle$
  where $ \alpha_1$ and $ \alpha_2$ are complex numbers
(iii)    $ \langle f,f\rangle >0$ if $ f\not= \vec 0$
  and $ \langle f,f\rangle =0\Leftrightarrow f=\vec 0$     .

Comments:

(a) The condition $ \langle f,g\rangle = \overline{\langle g,f\rangle}$ is quite necessary, otherwise there would be conflict with (iii). Indeed, if $ i=\sqrt{-1}$ , then

$\displaystyle \langle if,if\rangle$   $\displaystyle = i\langle if,f\rangle = i\overline{\langle f,if
\rangle} = i(-i)\overline{\langle f,f\rangle}$  
    $\displaystyle = \langle f,f\rangle >0 \quad .$  

In other words, condition (i) guarantees that the positive definiteness condition (iii) is preserved.

(b) With the help of (i), condition (ii) is equivalent to

$\displaystyle \langle\alpha_1f_1+\alpha_2f_2,g\rangle = \overline{\alpha}_1\langle f_1, g\rangle +\overline{\alpha}_2\langle f_2,g\rangle\,.$ (11)

Thus we see that a complex scalar (say, $ \alpha_1$ or $ \alpha_2$ ) in the first factor of the inner product gets complex conjugated when it gets separated from the inner product as a multiplicative factor. One says that $ \langle~~~,~~~\rangle$ is linear in the second argument and antilinear in the first argument.

(c) The square root of $ \langle f,f\rangle$ , $ \sqrt{\langle
f,f\rangle}\equiv
\Vert f\Vert$ , is called the norm of the vector $ f$ . It is always understood that the norm is finite. In particular $ \langle f,f\rangle<\infty$

(d) The inner product satisfies the Cauchy-Schwarz inequality

$\displaystyle \vert\langle f,g\rangle\vert\le\Vert f\Vert\,\Vert g\Vert ~.$

This inequality has a nice geometrical interpretation for real inner product spaces. In that case $ \langle f, g \rangle =\langle g, f \rangle $ is the familiar inner product and

$\displaystyle -1\le \frac{\langle f, g \rangle }{\Vert f\Vert \Vert g\Vert} \equiv \cos
(\hbox{angle between $f$\ and $g$}) \le 1 ~~.
$

The Cauchy-Schwarz inequality follows from the fact that for any complex $ \lambda $
$\displaystyle 0\le\langle\lambda f+g,\lambda f+g\rangle$ $\displaystyle =$ $\displaystyle \vert\lambda\vert^2\Vert f\Vert^2
+\Vert g\Vert^2$  
  $\displaystyle +$ $\displaystyle \overline{\lambda}\langle f,g\rangle +\lambda\langle g,f\rangle ~.$  

Letting $ \lambda =x\frac{\langle f,g\rangle}{\vert\langle f,g\rangle\vert}$ we obtain for all real $ x$

$\displaystyle 0\le x^2\Vert f\Vert^2+2x\vert\langle f,g\rangle\vert +\Vert g\Vert^2\quad .
$

Consequently, the discriminant,

$\displaystyle \vert\langle f,g\rangle\vert^2-\Vert f\Vert^2\Vert g\Vert^2\,,
$

of this quadratic expression must be negative or zero, otherwise this expression would be negative for some values of $ x$ . It follows that

$\displaystyle \vert\langle f,g\rangle\vert\le\Vert f\Vert\,\Vert g\Vert\,.
$

(e) The inner product implies the triangle inequality

$\displaystyle \Vert f\pm g\Vert$ $\displaystyle \le$ $\displaystyle \Vert f\Vert +\Vert g\Vert ~~.$ (12)

This inequality readily follows from the properties of the inner product (Why?)


next up previous contents index
Next: Normed Linear Spaces Up: Infinite Dimensional Vector Spaces Previous: Infinite Dimensional Vector Spaces   Contents   Index
Ulrich Gerlach 2007-04-05